Few studies attempt to model the range of possible post-fire hydrologic and geomorphic hazards because of the sparseness of data and the coupled, nonlinear, spatial, and temporal relationships among landscape variables. In this study, a type of unsupervised artificial neural network, called a self-organized map (SOM), is trained using data from 540 burned basins in the western United States. The sparsely populated data set includes variables from independent numerical landscape categories (climate, land surface form, geologic texture, and post-fire condition), independent landscape classes (bedrock geology and state), and dependent initiation processes (runoff, landslide, and runoff and landslide combination) and responses (debris flows, floods, and no events). Pattern analysis of the SOM-based component planes is used to identify and interpret relations among the variables. Application of the Davies-Bouldin criteria following k-means clustering of the SOM neurons identified eight conceptual regional models for focusing future research and empirical model development. A split-sample validation on 60 independent basins (not included in the training) indicates that simultaneous predictions of initiation process and response types are at least 78% accurate. As climate shifts from wet to dry conditions, forecasts across the burned landscape reveal a decreasing trend in the total number of debris flow, flood, and runoff events with considerable variability among individual basins. These findings suggest the SOM may be useful in forecasting real-time post-fire hazards, and long-term post-recovery processes and effects of climate change scenarios.
","language":"English","publisher":"Elsevier Science","doi":"10.1016/j.envsoft.2011.07.001","issn":"13648152","usgsCitation":"Friedel, M.J., 2011, Modeling hydrologic and geomorphic hazards across post-fire landscapes using a self-organizing map approach: Environmental Modelling and Software, v. 26, no. 12, p. 1660-1674, https://doi.org/10.1016/j.envsoft.2011.07.001.","productDescription":"15 p.","startPage":"1660","endPage":"1674","costCenters":[],"links":[{"id":241760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c03e4b0c8380cd6f981","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":436890,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034903,"text":"70034903 - 2011 - Rayleigh-based, multi-element coral thermometry: A biomineralization approach to developing climate proxies","interactions":[],"lastModifiedDate":"2018-05-02T21:29:59","indexId":"70034903","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Rayleigh-based, multi-element coral thermometry: A biomineralization approach to developing climate proxies","docAbstract":"This study presents a new approach to coral thermometry that deconvolves the influence of water temperature on skeleton composition from that of “vital effects”, and has the potential to provide estimates of growth temperatures that are accurate to within a few tenths of a degree Celsius from both tropical and cold-water corals. Our results provide support for a physico-chemical model of coral biomineralization, and imply that Mg2+ substitutes directly for Ca2+ in biogenic aragonite. Recent studies have identified Rayleigh fractionation as an important influence on the elemental composition of coral skeletons. Daily, seasonal and interannual variations in the amount of aragonite precipitated by corals from each “batch” of calcifying fluid can explain why the temperature dependencies of elemental ratios in coral skeleton differ from those of abiogenic aragonites, and are highly variable among individual corals. On the basis of this new insight into the origin of “vital effects” in coral skeleton, we developed a Rayleigh-based, multi-element approach to coral thermometry. Temperature is resolved from the Rayleigh fractionation signal by combining information from multiple element ratios (e.g., Mg/Ca, Sr/Ca, Ba/Ca) to produce a mathematically over-constrained system of Rayleigh equations. Unlike conventional coral thermometers, this approach does not rely on an initial calibration of coral skeletal composition to an instrumental temperature record. Rather, considering coral skeletogenesis as a biologically mediated, physico-chemical process provides a means to extract temperature information from the skeleton composition using the Rayleigh equation and a set of experimentally determined partition coefficients. Because this approach is based on a quantitative understanding of the mechanism that produces the “vital effect” it should be possible to apply it both across scleractinian species and to corals growing in vastly different environments. Where instrumental temperature records are available, a Rayleigh-based framework allows the effects of stress on coral calcification to be identified on the basis of anomalies in the skeletal composition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.01.010","issn":"00167037","usgsCitation":"Gaetani, G., Cohen, A., Wang, Z., and Crusius, J., 2011, Rayleigh-based, multi-element coral thermometry: A biomineralization approach to developing climate proxies: Geochimica et Cosmochimica Acta, v. 75, no. 7, p. 1920-1932, https://doi.org/10.1016/j.gca.2011.01.010.","productDescription":"13 p.","startPage":"1920","endPage":"1932","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":243834,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215995,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2011.01.010"}],"volume":"75","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a955be4b0c8380cd81979","contributors":{"authors":[{"text":"Gaetani, G.A.","contributorId":77763,"corporation":false,"usgs":true,"family":"Gaetani","given":"G.A.","affiliations":[],"preferred":false,"id":448246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, A.L.","contributorId":68131,"corporation":false,"usgs":true,"family":"Cohen","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":448245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Z.","contributorId":67976,"corporation":false,"usgs":true,"family":"Wang","given":"Z.","affiliations":[],"preferred":false,"id":448244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":448243,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036014,"text":"70036014 - 2011 - Quantifying Uncertainty in Model Predictions for the Pliocene (Plio-QUMP): Initial results","interactions":[],"lastModifiedDate":"2021-02-03T20:37:34.106848","indexId":"70036014","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying Uncertainty in Model Predictions for the Pliocene (Plio-QUMP): Initial results","docAbstract":"Examination of the mid-Pliocene Warm Period (mPWP; ~ 3.3 to 3.0 Ma BP) provides an excellent opportunity to test the ability of climate models to reproduce warm climate states, thereby assessing our confidence in model predictions. To do this it is necessary to relate the uncertainty in model simulations of mPWP climate to uncertainties in projections of future climate change. The uncertainties introduced by the model can be estimated through the use of a Perturbed Physics Ensemble (PPE). Developing on the UK Met Office Quantifying Uncertainty in Model Predictions (QUMP) Project, this paper presents the results from an initial investigation using the end members of a PPE in a fully coupled atmosphere–ocean model (HadCM3) running with appropriate mPWP boundary conditions. Prior work has shown that the unperturbed version of HadCM3 may underestimate mPWP sea surface temperatures at higher latitudes. Initial results indicate that neither the low sensitivity nor the high sensitivity simulations produce unequivocally improved mPWP climatology relative to the standard. Whilst the high sensitivity simulation was able to reconcile up to 6 °C of the data/model mismatch in sea surface temperatures in the high latitudes of the Northern Hemisphere (relative to the standard simulation), it did not produce a better prediction of global vegetation than the standard simulation. Overall the low sensitivity simulation was degraded compared to the standard and high sensitivity simulations in all aspects of the data/model comparison.
The results have shown that a PPE has the potential to explore weaknesses in mPWP modelling simulations which have been identified by geological proxies, but that a ‘best fit’ simulation will more likely come from a full ensemble in which simulations that contain the strengths of the two end member simulations shown here are combined.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2011.05.004","issn":"00310182","usgsCitation":"Pope, J., Collins, M., Haywood, A., Dowsett, H.J., Hunter, S., Lunt, D., Pickering, S., and Pound, M., 2011, Quantifying Uncertainty in Model Predictions for the Pliocene (Plio-QUMP): Initial results: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 309, no. 1-2, p. 128-140, https://doi.org/10.1016/j.palaeo.2011.05.004.","productDescription":"13 p.","startPage":"128","endPage":"140","costCenters":[],"links":[{"id":246453,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218443,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2011.05.004"}],"volume":"309","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a91bfe4b0c8380cd80433","contributors":{"authors":[{"text":"Pope, J.O.","contributorId":16257,"corporation":false,"usgs":true,"family":"Pope","given":"J.O.","email":"","affiliations":[],"preferred":false,"id":453606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, M.","contributorId":49224,"corporation":false,"usgs":true,"family":"Collins","given":"M.","email":"","affiliations":[],"preferred":false,"id":453609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haywood, A.M.","contributorId":101050,"corporation":false,"usgs":true,"family":"Haywood","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":453611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":453610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, S.J.","contributorId":27704,"corporation":false,"usgs":true,"family":"Hunter","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":453607,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lunt, D.J.","contributorId":105127,"corporation":false,"usgs":true,"family":"Lunt","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":453612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pickering, S.J.","contributorId":6283,"corporation":false,"usgs":true,"family":"Pickering","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":453605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pound, M.J.","contributorId":41259,"corporation":false,"usgs":true,"family":"Pound","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":453608,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70036013,"text":"70036013 - 2011 - Nonlinear site response in medium magnitude earthquakes near Parkfield, California","interactions":[],"lastModifiedDate":"2013-03-04T15:19:51","indexId":"70036013","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Nonlinear site response in medium magnitude earthquakes near Parkfield, California","docAbstract":"Careful analysis of strong-motion recordings of 13 medium magnitude earthquakes (3.7 ≤ M ≤ 6.5) in the Parkfield, California, area shows that very modest levels of shaking (approximately 3.5% of the acceleration of gravity) can produce observable changes in site response. Specifically, I observe a drop and subsequent recovery of the resonant frequency at sites that are part of the USGS Parkfield dense seismograph array (UPSAR) and Turkey Flat array. While further work is necessary to fully eliminate other models, given that these frequency shifts correlate with the strength of shaking at the Turkey Flat array and only appear for the strongest shaking levels at UPSAR, the most plausible explanation for them is that they are a result of nonlinear site response. Assuming this to be true, the observation of nonlinear site response in small (M <5) earthquakes implies that nonlinear site response can occur at much lower levels of shaking than previously believed. Below I present observations of a resonant frequency shift during five M ≤ 5 earthquakes near Parkfield, California, strongly contrasting with previous studies that have only identified nonlinear site effects for much larger events. In addition to the nonlinear effects seen for the smaller events, nonlinear site response is also observed for two largest earthquakes in the region during the study period (the 2003 M 6.5 San Simeon earthquake and the 2004 M 6 Parkfield earthquake).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120090396","issn":"00371106","usgsCitation":"Rubinstein, J.L., 2011, Nonlinear site response in medium magnitude earthquakes near Parkfield, California: Bulletin of the Seismological Society of America, v. 101, no. 1, p. 275-286, https://doi.org/10.1785/0120090396.","startPage":"275","endPage":"286","numberOfPages":"12","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":218418,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090396"},{"id":246421,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-26","publicationStatus":"PW","scienceBaseUri":"505a6790e4b0c8380cd733ca","contributors":{"authors":[{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":453604,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034904,"text":"70034904 - 2011 - Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty","interactions":[],"lastModifiedDate":"2021-03-08T21:03:51.911092","indexId":"70034904","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty","docAbstract":"The broad physical and biological principles behind climate change and its potential large scale ecological impacts on biota are fairly well understood, although likely responses of biotic communities at fine spatio-temporal scales are not, limiting the ability of conservation programs to respond effectively to climate change outside the range of human experience. Much of the climate debate has focused on attempts to resolve key uncertainties in a hypothesis-testing framework. However, conservation decisions cannot await resolution of these scientific issues and instead must proceed in the face of uncertainty. We suggest that conservation should precede in an adaptive management framework, in which decisions are guided by predictions under multiple, plausible hypotheses about climate impacts. Under this plan, monitoring is used to evaluate the response of the system to climate drivers, and management actions (perhaps experimental) are used to confront testable predictions with data, in turn providing feedback for future decision making. We illustrate these principles with the problem of mitigating the effects of climate change on terrestrial bird communities in the southern Appalachian Mountains, USA.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2010.10.019","issn":"00063207","usgsCitation":"Conroy, M., Runge, M.C., Nichols, J.D., Stodola, K., and Cooper, R., 2011, Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty: Biological Conservation, v. 144, no. 4, p. 1204-1213, https://doi.org/10.1016/j.biocon.2010.10.019.","productDescription":"10 p.","startPage":"1204","endPage":"1213","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":243835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215996,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.10.019"}],"country":"United States","otherGeospatial":"Southern Appalachian Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.4296875,\n 35.02999636902566\n ],\n [\n -82.96875,\n 33.211116472416855\n ],\n [\n -75.76171875,\n 41.31082388091818\n ],\n [\n -75.146484375,\n 42.87596410238256\n ],\n [\n -78.662109375,\n 43.068887774169625\n ],\n [\n -83.84765625,\n 37.37015718405753\n ],\n [\n -85.4296875,\n 35.02999636902566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f9dde4b0c8380cd4d815","contributors":{"authors":[{"text":"Conroy, M.J.","contributorId":84690,"corporation":false,"usgs":true,"family":"Conroy","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":448250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":448249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":448247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stodola, K.W.","contributorId":19804,"corporation":false,"usgs":true,"family":"Stodola","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":448248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, R.J.","contributorId":89077,"corporation":false,"usgs":true,"family":"Cooper","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":448251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034905,"text":"70034905 - 2011 - Multiscale site-response mapping: A case study of Parkfield, California","interactions":[],"lastModifiedDate":"2012-03-12T17:21:41","indexId":"70034905","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale site-response mapping: A case study of Parkfield, California","docAbstract":"The scale of previously proposed methods for mapping site-response ranges from global coverage down to individual urban regions. Typically, spatial coverage and accuracy are inversely related.We use the densely spaced strong-motion stations in Parkfield, California, to estimate the accuracy of different site-response mapping methods and demonstrate a method for integrating multiple site-response estimates from the site to the global scale. This method is simply a weighted mean of a suite of different estimates, where the weights are the inverse of the variance of the individual estimates. Thus, the dominant site-response model varies in space as a function of the accuracy of the different models. For mapping applications, site-response models should be judged in terms of both spatial coverage and the degree of correlation with observed amplifications. Performance varies with period, but in general the Parkfield data show that: (1) where a velocity profile is available, the square-rootof- impedance (SRI) method outperforms the measured VS30 (30 m divided by the S-wave travel time to 30 m depth) and (2) where velocity profiles are unavailable, the topographic slope method outperforms surficial geology for short periods, but geology outperforms slope at longer periods. We develop new equations to estimate site response from topographic slope, derived from the Next Generation Attenuation (NGA) database.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120100211","issn":"00371106","usgsCitation":"Thompson, E., Baise, L., Kayen, R.E., Morgan, E., and Kaklamanos, J., 2011, Multiscale site-response mapping: A case study of Parkfield, California: Bulletin of the Seismological Society of America, v. 101, no. 3, p. 1081-1100, https://doi.org/10.1785/0120100211.","startPage":"1081","endPage":"1100","numberOfPages":"20","costCenters":[],"links":[{"id":216028,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100211"},{"id":243867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-05-29","publicationStatus":"PW","scienceBaseUri":"505a609ce4b0c8380cd71597","contributors":{"authors":[{"text":"Thompson, E.M.","contributorId":104688,"corporation":false,"usgs":true,"family":"Thompson","given":"E.M.","affiliations":[],"preferred":false,"id":448256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baise, L.G.","contributorId":6239,"corporation":false,"usgs":true,"family":"Baise","given":"L.G.","affiliations":[],"preferred":false,"id":448252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kayen, R. E.","contributorId":14424,"corporation":false,"usgs":true,"family":"Kayen","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":448253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, E.C.","contributorId":66509,"corporation":false,"usgs":true,"family":"Morgan","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":448255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaklamanos, J.","contributorId":38383,"corporation":false,"usgs":true,"family":"Kaklamanos","given":"J.","affiliations":[],"preferred":false,"id":448254,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034906,"text":"70034906 - 2011 - Dispersal and behavior of Pacific halibut Hippoglossus stenolepis in the Bering Sea and Aleutian Islands region","interactions":[],"lastModifiedDate":"2021-03-08T20:40:08.694304","indexId":"70034906","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dispersal and behavior of Pacific halibut hippoglossus stenolepis in the Bering Sea and Aleutian islands region","title":"Dispersal and behavior of Pacific halibut Hippoglossus stenolepis in the Bering Sea and Aleutian Islands region","docAbstract":"Currently, it is assumed that eastern Pacific halibut Hippoglossus stenolepis belong to a single, fully mixed population extending from California through the Bering Sea, in which adult halibut disperse randomly throughout their range during their lifetime. However, we hypothesize that halibut dispersal is more complex than currently assumed and is not spatially random. To test this hypothesis, we studied the seasonal dispersal and behavior of Pacific halibut in the Bering Sea and Aleutian Islands (BSAI). Pop-up Archival Transmitting tags attached to halibut (82 to 154 cm fork length) during the summer provided no evidence that individuals moved out of the Bering Sea and Aleutian Islands region into the Gulf of Alaska during the mid-winter spawning season, supporting the concept that this region contains a separate spawning group of adult halibut. There was evidence for geographically localized groups of halibut along the Aleutian Island chain, as all of the individuals tagged there displayed residency, with their movements possibly impeded by tidal currents in the passes between islands. Mid-winter aggregation areas of halibut are assumed to be spawning grounds, of which 2 were previously unidentified and extend the species’ presumed spawning range ~1000 km west and ~600 km north of the nearest documented spawning area. If there are indeed independent spawning groups of Pacific halibut in the BSAI, their dynamics may vary sufficiently from those of the Gulf of Alaska, so that specifically accounting for their relative segregation and unique dynamics within the larger population model will be necessary for correctly predicting how these components may respond to fishing pressure and changing environmental conditions.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/ab00333","issn":"18647782","usgsCitation":"Seitz, A., Loher, T., Norcross, B.L., and Nielsen, J.L., 2011, Dispersal and behavior of Pacific halibut Hippoglossus stenolepis in the Bering Sea and Aleutian Islands region: Aquatic Biology, v. 12, no. 3, p. 225-239, https://doi.org/10.3354/ab00333.","productDescription":"15 p.","startPage":"225","endPage":"239","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":475205,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/ab00333","text":"Publisher Index Page"},{"id":243868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216029,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/ab00333"}],"country":"United States","state":"Alaska","otherGeospatial":"Bering Sea and Aleutian Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.82421875,\n 49.83798245308484\n ],\n [\n -159.521484375,\n 49.83798245308484\n ],\n [\n -159.521484375,\n 59.489726035537075\n ],\n [\n -179.82421875,\n 59.489726035537075\n ],\n [\n -179.82421875,\n 49.83798245308484\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0217e4b0c8380cd4fe9e","contributors":{"authors":[{"text":"Seitz, A.C.","contributorId":71756,"corporation":false,"usgs":true,"family":"Seitz","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":448259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loher, Timothy","contributorId":26130,"corporation":false,"usgs":false,"family":"Loher","given":"Timothy","email":"","affiliations":[{"id":33614,"text":"International Pacific Halibut Comission","active":true,"usgs":false}],"preferred":false,"id":448258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norcross, Brenda L.","contributorId":21497,"corporation":false,"usgs":false,"family":"Norcross","given":"Brenda","email":"","middleInitial":"L.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":448257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielsen, Jennifer L.","contributorId":43722,"corporation":false,"usgs":true,"family":"Nielsen","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":448260,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034907,"text":"70034907 - 2011 - The path to a successful one-million tonne demonstration of geological sequestration: Characterization, cooperation, and collaboration","interactions":[],"lastModifiedDate":"2021-03-08T20:12:37.233188","indexId":"70034907","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The path to a successful one-million tonne demonstration of geological sequestration: Characterization, cooperation, and collaboration","docAbstract":"The development of the Illinois Basin-Decatur USA test site for a 1 million tonne injection of CO2 into the Mount Simon Sandstone saline reservoir beginning in 2011 has been a multiphase process requiring a wide array of personnel and resources that began in 2003. The process of regional characterization took two years as part of a Phase I effort focused on the entire Illinois Basin, located in Illinois, Indiana, and Kentucky, USA. Seeking the cooperation of an industrial source of CO2 and site selection within the Basin took place during Phase II while most of the concurrent research emphasis was on a set of small-scale tests of Enhanced Oil Recovery (EOR) and CO2 injection into a coal seam. Phase III began the commitment to the 1 million-tonne test site development through the collaboration of the Archer Daniels Midland Company (ADM) who is providing a site, the CO2, and developing a compression facility, of Schlumberger Carbon Services who is providing expertise for operations, drilling, geophysics, risk assessment, and reservoir modelling, and of the Illinois State Geological Survey (ISGS) whose geologists and engineers lead the Midwest Geological Sequestration Consortium (MGSC). Communications and outreach has been a collaborative effort of ADM, ISGS and Schlumberger Carbon Services. The Consortium is one of the seven Regional Carbon Sequestration Partnerships, a carbon sequestration research program supported by the National Energy Technology Laboratory of the U.S. Department of Energy.
","largerWorkTitle":"Energy Procedia","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"September, 19-23, 2010","conferenceLocation":"Amsterdam","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.441","issn":"18766102","usgsCitation":"Finley, R., Greenberg, S., Frailey, S., Krapac, I., Leetaru, H., and Marsteller, S., 2011, The path to a successful one-million tonne demonstration of geological sequestration: Characterization, cooperation, and collaboration, in Energy Procedia, v. 4, Amsterdam, September, 19-23, 2010, p. 4770-4776, https://doi.org/10.1016/j.egypro.2011.02.441.","productDescription":"7 p.","startPage":"4770","endPage":"4776","costCenters":[],"links":[{"id":487844,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.441","text":"Publisher Index Page"},{"id":243396,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215582,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.egypro.2011.02.441"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Basin-Decatur","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.197998046875,\n 39.60145584096999\n ],\n [\n -88.648681640625,\n 39.60145584096999\n ],\n [\n -88.648681640625,\n 40.065460682065535\n ],\n [\n -89.197998046875,\n 40.065460682065535\n ],\n [\n -89.197998046875,\n 39.60145584096999\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bae80e4b08c986b324140","contributors":{"authors":[{"text":"Finley, R.J.","contributorId":70984,"corporation":false,"usgs":true,"family":"Finley","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":448265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greenberg, S.E.","contributorId":56441,"corporation":false,"usgs":true,"family":"Greenberg","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":448264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frailey, S.M.","contributorId":93263,"corporation":false,"usgs":true,"family":"Frailey","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":448266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krapac, I.G.","contributorId":33850,"corporation":false,"usgs":true,"family":"Krapac","given":"I.G.","email":"","affiliations":[],"preferred":false,"id":448262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leetaru, H.E.","contributorId":47123,"corporation":false,"usgs":true,"family":"Leetaru","given":"H.E.","email":"","affiliations":[],"preferred":false,"id":448263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marsteller, S.","contributorId":27288,"corporation":false,"usgs":true,"family":"Marsteller","given":"S.","email":"","affiliations":[],"preferred":false,"id":448261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035118,"text":"70035118 - 2011 - The development of an EDSS: Lessons learned and implications for DSS research","interactions":[],"lastModifiedDate":"2021-06-14T19:51:32.448528","indexId":"70035118","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The development of an EDSS: Lessons learned and implications for DSS research","docAbstract":"The Solar and Wind Energy Resource Assessment (SWERA) project is focused on providing renewable energy (RE) planning resources to the public. Examples include wind, solar, and hydro assessments. SWERA DSS consists of three major components. First, SWERA 'Product Archive' provides for a discovery DSS upon which users can find and access renewable energy data and supporting models. Second, the 'Renewable Resource EXplorer' (RREX) component serves as a web-based, GIS analysis tool for viewing RE resource data available through the SWERA Product Archive. Third, the SWERA web service provides computational access to the data available in the SWERA spatial database through a location based query, and is also utilized in the RREX component. We provide a discussion of various design decisions used in the construction of this EDSS, followed by project experiences and implications for EDSS and broader DSS research.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Annual Hawaii International Conference on System Sciences","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"44th Hawaii International Conference on System Sciences, HICSS-44 2010","conferenceDate":"January, 4-7,2011","conferenceLocation":"Koloa, Kauai, HI","language":"English","publisher":"IEEE","doi":"10.1109/HICSS.2011.405","issn":"15301605","isbn":"9780769542829","usgsCitation":"El-Gayar, O., Deokar, A., Michels, L., and Fosnight, E.A., 2011, The development of an EDSS: Lessons learned and implications for DSS research, in Proceedings of the Annual Hawaii International Conference on System Sciences, Koloa, Kauai, HI, January, 4-7,2011, 10 p., https://doi.org/10.1109/HICSS.2011.405.","productDescription":"10 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243192,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215392,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/HICSS.2011.405"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baaa4e4b08c986b3228ec","contributors":{"authors":[{"text":"El-Gayar, O.","contributorId":64914,"corporation":false,"usgs":true,"family":"El-Gayar","given":"O.","email":"","affiliations":[],"preferred":false,"id":449365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deokar, A.","contributorId":69802,"corporation":false,"usgs":true,"family":"Deokar","given":"A.","email":"","affiliations":[],"preferred":false,"id":449366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michels, L.","contributorId":92073,"corporation":false,"usgs":true,"family":"Michels","given":"L.","email":"","affiliations":[],"preferred":false,"id":449367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fosnight, Eugene A. 0000-0002-8557-3697 fosnight@usgs.gov","orcid":"https://orcid.org/0000-0002-8557-3697","contributorId":2961,"corporation":false,"usgs":true,"family":"Fosnight","given":"Eugene","email":"fosnight@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":449368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035119,"text":"70035119 - 2011 - Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data","interactions":[],"lastModifiedDate":"2013-03-18T13:20:59","indexId":"70035119","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data","docAbstract":"LANDFIRE is a large interagency project designed to provide nationwide spatial data for fire management applications. As part of the effort, many 2000 vintage Landsat Thematic Mapper and Enhanced Thematic Mapper plus data sets were used in conjunction with a large volume of field information to generate detailed vegetation type and structure data sets for the entire United States. In order to keep these data sets current and relevant to resource managers, there was strong need to develop an approach for updating these products. We are using three different approaches for these purposes. These include: 1) updating using Landsat-derived historic and current fire burn information derived from the Monitoring Trends in Burn Severity project; 2) incorporating vegetation disturbance information derived from time series Landsat data analysis using the Vegetation Change Tracker; and 3) developing data products that capture subtle intra-state disturbance such as those related to insects and disease using either Landsat or the Moderate Resolution Imaging Spectroradiometer (MODIS). While no one single approach provides all of the land cover change and update information required, we believe that a combination of all three captures most of the disturbance conditions taking place that have relevance to the fire community.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Electrical and Electronics Engineers","publisherLocation":"New York, NY","doi":"10.1109/JSTARS.2010.2044478","usgsCitation":"Vogelmann, J., Kost, J.R., Tolk, B., Howard, S.M., Short, K., Chen, X., Huang, C., Pabst, K., and Rollins, M.G., 2011, Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 4, no. 2, p. 252-264, https://doi.org/10.1109/JSTARS.2010.2044478.","startPage":"252","endPage":"264","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475055,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.2217","text":"External Repository"},{"id":215417,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JSTARS.2010.2044478"},{"id":243223,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5dbae4b0c8380cd7056f","contributors":{"authors":[{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":449369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kost, Jay R. jkost@usgs.gov","contributorId":3931,"corporation":false,"usgs":true,"family":"Kost","given":"Jay","email":"jkost@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":449371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tolk, Brian 0000-0002-9060-0266","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":62426,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","affiliations":[],"preferred":false,"id":449377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, Stephen M. 0000-0001-5255-5882 smhoward@usgs.gov","orcid":"https://orcid.org/0000-0001-5255-5882","contributorId":3483,"corporation":false,"usgs":true,"family":"Howard","given":"Stephen","email":"smhoward@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":449370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Short, Karen","contributorId":33940,"corporation":false,"usgs":true,"family":"Short","given":"Karen","affiliations":[],"preferred":false,"id":449375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Xuexia","contributorId":14213,"corporation":false,"usgs":true,"family":"Chen","given":"Xuexia","affiliations":[],"preferred":false,"id":449373,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":449374,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pabst, Kari","contributorId":12284,"corporation":false,"usgs":true,"family":"Pabst","given":"Kari","email":"","affiliations":[],"preferred":false,"id":449372,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rollins, Matthew G.","contributorId":54695,"corporation":false,"usgs":true,"family":"Rollins","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":449376,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70035146,"text":"70035146 - 2011 - Anomalous waveforms observed in laboratory-formed gas hydrate-bearing and ice-bearing sediments","interactions":[],"lastModifiedDate":"2021-03-01T19:11:18.139362","indexId":"70035146","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2516,"text":"Journal of the Acoustical Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Anomalous waveforms observed in laboratory-formed gas hydrate-bearing and ice-bearing sediments","docAbstract":"Acoustic transmission measurements of compressional, P, and shear, S, wave velocities rely on correctly identifying the P- and S-body wave arrivals in the measured waveform. In cylindrical samples for which the sample is much longer than the acoustic wavelength, these body waves can be obscured by high-amplitude waveform features arriving just after the relatively small-amplitude P-body wave. In this study, a normal mode approach is used to analyze this type of waveform, observed in sediment containing gas hydrate or ice. This analysis extends an existing normal-mode waveform propagation theory by including the effects of the confining medium surrounding the sample, and provides guidelines for estimating S-wave velocities from waveforms containing multiple large-amplitude arrivals.
","language":"English","publisher":"Acoustical Society of America","doi":"10.1121/1.3552877","issn":"00014966","usgsCitation":"Lee, M.W., and Waite, W., 2011, Anomalous waveforms observed in laboratory-formed gas hydrate-bearing and ice-bearing sediments: Journal of the Acoustical Society of America, v. 129, no. 4, p. 1707-1720, https://doi.org/10.1121/1.3552877.","productDescription":"14 p.","startPage":"1707","endPage":"1720","costCenters":[],"links":[{"id":475173,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3195332","text":"External Repository"},{"id":243161,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215364,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1121/1.3552877"}],"volume":"129","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-08","publicationStatus":"PW","scienceBaseUri":"5059ec4ce4b0c8380cd491a2","contributors":{"authors":[{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":449486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":449485,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036785,"text":"70036785 - 2011 - Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","interactions":[],"lastModifiedDate":"2018-02-21T10:49:44","indexId":"70036785","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","docAbstract":"Recent flood events in the Prairie Pothole Region of North America have stimulated interest in modeling water storage capacities of wetlands and their surrounding catchments to facilitate flood mitigation efforts. Accurate estimates of basin storage capacities have been hampered by a lack of high-resolution elevation data. In this paper, we developed a 0.5 m bare-earth model from Light Detection And Ranging (LiDAR) data and, in combination with National Wetlands Inventory data, delineated wetland catchments and their spilling points within a 196 km2 study area. We then calculated the maximum water storage capacity of individual basins and modeled the connectivity among these basins. When compared to field survey results, catchment and spilling point delineations from the LiDAR bare-earth model captured subtle landscape features very well. Of the 11 modeled spilling points, 10 matched field survey spilling points. The comparison between observed and modeled maximum water storage had an R2 of 0.87 with mean absolute error of 5564 m3. Since maximum water storage capacity of basins does not translate into floodwater regulation capability, we further developed a Basin Floodwater Regulation Index. Based upon this index, the absolute and relative water that could be held by wetlands over a landscape could be modeled. This conceptual model of floodwater downstream contribution was demonstrated with water level data from 17 May 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2011.05.040","issn":"00221694","usgsCitation":"Huang, S., Young, C., Feng, M., Heidemann, H.K., Cushing, M., Mushet, D., and Liu, S., 2011, Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands: Journal of Hydrology, v. 405, no. 3-4, p. 417-426, https://doi.org/10.1016/j.jhydrol.2011.05.040.","productDescription":"10 p.","startPage":"417","endPage":"426","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217883,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.05.040"}],"country":"United States;Canada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,40.38 ], [ -120.0,60.0 ], [ -90.14,60.0 ], [ -90.14,40.38 ], [ -120.0,40.38 ] ] ] } } ] }","volume":"405","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe90e4b0c8380cd4edca","contributors":{"authors":[{"text":"Huang, S.","contributorId":18168,"corporation":false,"usgs":true,"family":"Huang","given":"S.","affiliations":[],"preferred":false,"id":457836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":457838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":457837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heidemann, Hans Karl 0000-0003-4306-359X kheidemann@usgs.gov","orcid":"https://orcid.org/0000-0003-4306-359X","contributorId":3755,"corporation":false,"usgs":true,"family":"Heidemann","given":"Hans","email":"kheidemann@usgs.gov","middleInitial":"Karl","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":457842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cushing, Matthew 0000-0001-5209-6006","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":66101,"corporation":false,"usgs":true,"family":"Cushing","given":"Matthew","affiliations":[],"preferred":false,"id":457840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":457839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":457841,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70036788,"text":"70036788 - 2011 - Mapping permeability over the surface of the Earth","interactions":[],"lastModifiedDate":"2020-12-21T18:02:39.348835","indexId":"70036788","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mapping permeability over the surface of the Earth","docAbstract":"Permeability, the ease of fluid flow through porous rocks and soils, is a fundamental but often poorly quantified component in the analysis of regional‐scale water fluxes. Permeability is difficult to quantify because it varies over more than 13 orders of magnitude and is heterogeneous and dependent on flow direction. Indeed, at the regional scale, maps of permeability only exist for soil to depths of 1–2 m. Here we use an extensive compilation of results from hydrogeologic models to show that regional‐scale (>5 km) permeability of consolidated and unconsolidated geologic units below soil horizons (hydrolithologies) can be characterized in a statistically meaningful way. The representative permeabilities of these hydrolithologies are used to map the distribution of near‐surface (on the order of 100 m depth) permeability globally and over North America. The distribution of each hydrolithology is generally scale independent. The near‐surface mean permeability is of the order of ∼5 × 10−14 m2. The results provide the first global picture of near‐surface permeability and will be of particular value for evaluating global water resources and modeling the influence of climate‐surface‐subsurface interactions on global climate change.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL045565","issn":"00948276","usgsCitation":"Gleeson, T., Smith, L., Moosdorf, N., Hartmann, J., Durr, H., Manning, A.H., Van Beek, L.P., and Jellinek, A.M., 2011, Mapping permeability over the surface of the Earth: Geophysical Research Letters, v. 38, no. 2, L02401, 6 p., https://doi.org/10.1029/2010GL045565.","productDescription":"L02401, 6 p.","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":475618,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl045565","text":"Publisher Index Page"},{"id":245433,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217482,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL045565"}],"volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-01-21","publicationStatus":"PW","scienceBaseUri":"505a506ee4b0c8380cd6b6b8","contributors":{"authors":[{"text":"Gleeson, T.","contributorId":40014,"corporation":false,"usgs":true,"family":"Gleeson","given":"T.","email":"","affiliations":[],"preferred":false,"id":457856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, L.","contributorId":23477,"corporation":false,"usgs":true,"family":"Smith","given":"L.","affiliations":[],"preferred":false,"id":457854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moosdorf, N.","contributorId":102304,"corporation":false,"usgs":true,"family":"Moosdorf","given":"N.","affiliations":[],"preferred":false,"id":457860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartmann, J.","contributorId":90573,"corporation":false,"usgs":true,"family":"Hartmann","given":"J.","email":"","affiliations":[],"preferred":false,"id":457859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Durr, H.H.","contributorId":42464,"corporation":false,"usgs":true,"family":"Durr","given":"H.H.","email":"","affiliations":[],"preferred":false,"id":457857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":457855,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Beek, L. P. H.","contributorId":21385,"corporation":false,"usgs":true,"family":"Van Beek","given":"L.","email":"","middleInitial":"P. H.","affiliations":[],"preferred":false,"id":457853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jellinek, A. Mark","contributorId":54364,"corporation":false,"usgs":true,"family":"Jellinek","given":"A.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":457858,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035147,"text":"70035147 - 2011 - Scenarios for earthquake-generated tsunamis on a complex tectonic area of diffuse deformation and low velocity: The Alboran Sea, Western Mediterranean","interactions":[],"lastModifiedDate":"2017-11-05T22:25:43","indexId":"70035147","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Scenarios for earthquake-generated tsunamis on a complex tectonic area of diffuse deformation and low velocity: The Alboran Sea, Western Mediterranean","docAbstract":"The tsunami impact on the Spanish and North African coasts of the Alboran Sea generated by several reliable seismic tsunamigenic sources in this area was modeled. The tectonic setting is complex and a study of the potential sources from geological data is basic to obtain probable source characteristics. The tectonic structures considered in this study as potentially tsunamigenic are: the Alboran Ridge associated structures, the Carboneras Fault Zone and the Yusuf Fault Zone. We characterized 12 probable tsunamigenic seismic sources in the Alboran Basin based on the results of recent oceanographical studies. The strain rate in the area is low and therefore its seismicity is moderate and cannot be used to infer characteristics of the major seismic sources. These sources have been used as input for the numerical simulation of the wave propagation, based on the solution of the nonlinear shallow water equations through a finite-difference technique. We calculated the Maximum Wave Elevations, and Tsunami Travel Times using the numerical simulations. The results are shown as maps and profiles along the Spanish and African coasts. The sources associated with the Alboran Ridge show the maximum potential to generate damaging tsunamis, with maximum wave elevations in front of the coast exceeding 1.5 m. The Carboneras and Yusuf faults are not capable of generating disastrous tsunamis on their own, although their proximity to the coast could trigger landslides and associated sea disturbances. The areas which are more exposed to the impact of tsunamis generated in the Alboran Sea are the Spanish coast between Malaga and Adra, and the African coast between Alhoceima and Melilla.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2011.03.008","issn":"00253227","usgsCitation":"Alvarez-Gomez, J.A., Aniel-Quiroga, I., Gonzalez, M., Olabarrieta, M., and Carreno, E., 2011, Scenarios for earthquake-generated tsunamis on a complex tectonic area of diffuse deformation and low velocity: The Alboran Sea, Western Mediterranean: Marine Geology, v. 284, no. 1-4, p. 55-73, https://doi.org/10.1016/j.margeo.2011.03.008.","productDescription":"19 p.","startPage":"55","endPage":"73","costCenters":[],"links":[{"id":475056,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.ucm.es/id/eprint/25767/1/1-s2.0-S0025322711000703-01.pdf","text":"External Repository"},{"id":243193,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8736e4b08c986b31638f","contributors":{"authors":[{"text":"Alvarez-Gomez, J. A.","contributorId":71411,"corporation":false,"usgs":true,"family":"Alvarez-Gomez","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":449490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aniel-Quiroga, I.","contributorId":6278,"corporation":false,"usgs":true,"family":"Aniel-Quiroga","given":"I.","email":"","affiliations":[],"preferred":false,"id":449487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez, M.","contributorId":46321,"corporation":false,"usgs":true,"family":"Gonzalez","given":"M.","email":"","affiliations":[],"preferred":false,"id":449488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":81631,"corporation":false,"usgs":true,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":449489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carreno, E.","contributorId":77382,"corporation":false,"usgs":true,"family":"Carreno","given":"E.","email":"","affiliations":[],"preferred":false,"id":449491,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036897,"text":"70036897 - 2011 - Volatile abundances and oxygen isotopes in basaltic to dacitic lavas on mid-ocean ridges: The role of assimilation at spreading centers","interactions":[],"lastModifiedDate":"2013-05-28T10:36:53","indexId":"70036897","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Volatile abundances and oxygen isotopes in basaltic to dacitic lavas on mid-ocean ridges: The role of assimilation at spreading centers","docAbstract":"Most geochemical variability in MOR basalts is consistent with low- to moderate-pressure fractional crystallization of various mantle-derived parental melts. However, our geochemical data from MOR high-silica glasses, including new volatile and oxygen isotope data, suggest that assimilation of altered crustal material plays a significant role in the petrogenesis of dacites and may be important in the formation of basaltic lavas at MOR in general. MOR high-silica andesites and dacites from diverse areas show remarkably similar major element trends, incompatible trace element enrichments, and isotopic signatures suggesting similar processes control their chemistry. In particular, very high Cl and elevated H2O concentrations and relatively light oxygen isotope ratios (~ 5.8‰ vs. expected values of ~ 6.8‰) in fresh dacite glasses can be explained by contamination of magmas from a component of ocean crust altered by hydrothermal fluids. Crystallization of silicate phases and Fe-oxides causes an increase in δ18O in residual magma, but assimilation of material initially altered at high temperatures results in lower δ18O values. The observed geochemical signatures can be explained by extreme fractional crystallization of a MOR basalt parent combined with partial melting and assimilation (AFC) of amphibole-bearing altered oceanic crust. The MOR dacitic lavas do not appear to be simply the extrusive equivalent of oceanic plagiogranites. The combination of partial melting and assimilation produces a distinct geochemical signature that includes higher incompatible trace element abundances and distinct trace element ratios relative to those observed in plagiogranites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2011.05.017","issn":"00092541","usgsCitation":"Wanless, V., Perfit, M., Ridley, W., Wallace, P., Grimes, C.B., and Klein, E., 2011, Volatile abundances and oxygen isotopes in basaltic to dacitic lavas on mid-ocean ridges: The role of assimilation at spreading centers: Chemical Geology, v. 287, no. 1-2, p. 54-65, https://doi.org/10.1016/j.chemgeo.2011.05.017.","startPage":"54","endPage":"65","numberOfPages":"12","costCenters":[{"id":548,"text":"Rocky Mountain Mapping Center","active":false,"usgs":true}],"links":[{"id":487873,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10161/9357","text":"External Repository"},{"id":217801,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.05.017"},{"id":245773,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"287","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc2bee4b08c986b32ad23","contributors":{"authors":[{"text":"Wanless, V.D.","contributorId":30487,"corporation":false,"usgs":true,"family":"Wanless","given":"V.D.","email":"","affiliations":[],"preferred":false,"id":458387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perfit, M.R.","contributorId":45467,"corporation":false,"usgs":true,"family":"Perfit","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":458388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridley, W.I.","contributorId":72122,"corporation":false,"usgs":true,"family":"Ridley","given":"W.I.","email":"","affiliations":[],"preferred":false,"id":458390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, P.J.","contributorId":6606,"corporation":false,"usgs":true,"family":"Wallace","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":458385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grimes, Craig B.","contributorId":68261,"corporation":false,"usgs":true,"family":"Grimes","given":"Craig","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":458389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klein, E.M.","contributorId":20156,"corporation":false,"usgs":true,"family":"Klein","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":458386,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035148,"text":"70035148 - 2011 - Strong atmospheric chemistry feedback to climate warming from Arctic methane emissions","interactions":[],"lastModifiedDate":"2013-05-07T14:47:29","indexId":"70035148","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Strong atmospheric chemistry feedback to climate warming from Arctic methane emissions","docAbstract":"The magnitude and feedbacks of future methane release from the Arctic region are unknown. Despite limited documentation of potential future releases associated with thawing permafrost and degassing methane hydrates, the large potential for future methane releases calls for improved understanding of the interaction of a changing climate with processes in the Arctic and chemical feedbacks in the atmosphere. Here we apply a “state of the art” atmospheric chemistry transport model to show that large emissions of CH4 would likely have an unexpectedly large impact on the chemical composition of the atmosphere and on radiative forcing (RF). The indirect contribution to RF of additional methane emission is particularly important. It is shown that if global methane emissions were to increase by factors of 2.5 and 5.2 above current emissions, the indirect contributions to RF would be about 250% and 400%, respectively, of the RF that can be attributed to directly emitted methane alone. Assuming several hypothetical scenarios of CH4 release associated with permafrost thaw, shallow marine hydrate degassing, and submarine landslides, we find a strong positive feedback on RF through atmospheric chemistry. In particular, the impact of CH4 is enhanced through increase of its lifetime, and of atmospheric abundances of ozone, stratospheric water vapor, and CO2 as a result of atmospheric chemical processes. Despite uncertainties in emission scenarios, our results provide a better understanding of the feedbacks in the atmospheric chemistry that would amplify climate warming.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Biogeochemical Cycles","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2010GB003845","issn":"08866236","usgsCitation":"Isaksen, I., Gauss, M., Myhre, G., Walter Anthony, K.M., and Ruppel, C., 2011, Strong atmospheric chemistry feedback to climate warming from Arctic methane emissions: Global Biogeochemical Cycles, v. 25, no. 2, https://doi.org/10.1029/2010GB003845.","productDescription":"11 p.","startPage":"GB2002","numberOfPages":"11","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487834,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gb003845","text":"Publisher Index Page"},{"id":215394,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GB003845"},{"id":243194,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-04-20","publicationStatus":"PW","scienceBaseUri":"505b9b81e4b08c986b31cf1f","contributors":{"authors":[{"text":"Isaksen, Ivar","contributorId":68130,"corporation":false,"usgs":true,"family":"Isaksen","given":"Ivar","email":"","affiliations":[],"preferred":false,"id":449495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gauss, Michael","contributorId":44376,"corporation":false,"usgs":true,"family":"Gauss","given":"Michael","email":"","affiliations":[],"preferred":false,"id":449494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myhre, Gunnar","contributorId":78959,"corporation":false,"usgs":true,"family":"Myhre","given":"Gunnar","email":"","affiliations":[],"preferred":false,"id":449496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter Anthony, Katey M.","contributorId":28446,"corporation":false,"usgs":true,"family":"Walter Anthony","given":"Katey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":449493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppel, Carolyn cruppel@usgs.gov","contributorId":2015,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":449492,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70032550,"text":"70032550 - 2011 - Distinguishing between stress-induced and structural anisotropy at Mount Ruapehu volcano, New Zealand","interactions":[],"lastModifiedDate":"2023-11-29T12:01:55.644441","indexId":"70032550","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Distinguishing between stress-induced and structural anisotropy at Mount Ruapehu volcano, New Zealand","docAbstract":"Nitrous oxide (N2O) is a potent greenhouse gas that contributes to climate change and stratospheric ozone destruction. Anthropogenic nitrogen (N) loading to river networks is a potentially important source of N2O via microbial denitrification that converts N to N2O and dinitrogen (N2). The fraction of denitrified N that escapes as N2O rather than N2 (i.e., the N2O yield) is an important determinant of how much N2O is produced by river networks, but little is known about the N2O yield in flowing waters. Here, we present the results of whole-stream 15N-tracer additions conducted in 72 headwater streams draining multiple land-use types across the United States. We found that stream denitrification produces N2O at rates that increase with stream water nitrate (NO3−) concentrations, but that <1% of denitrified N is converted to N2O. Unlike some previous studies, we found no relationship between the N2O yield and stream water NO3−. We suggest that increased stream NO3− loading stimulates denitrification and concomitant N2O production, but does not increase the N2O yield. In our study, most streams were sources of N2O to the atmosphere and the highest emission rates were observed in streams draining urban basins. Using a global river network model, we estimate that microbial N transformations (e.g., denitrification and nitrification) convert at least 0.68 Tg·y−1 of anthropogenic N inputs to N2O in river networks, equivalent to 10% of the global anthropogenic N2O emission rate. This estimate of stream and river N2O emissions is three times greater than estimated by the Intergovernmental Panel on Climate Change.
Humans have more than doubled the availability of fixed nitrogen (N) in the biosphere, particularly through the production of N fertilizers and the cultivation of N-fixing crops (1). Increasing N availability is producing unintended environmental consequences including enhanced emissions of nitrous oxide (N2O), a potent greenhouse gas (2) and an important cause of stratospheric ozone destruction (3). The Intergovernmental Panel on Climate Change (IPCC) estimates that the microbial conversion of agriculturally derived N to N2O in soils and aquatic ecosystems is the largest source of anthropogenic N2O to the atmosphere (2). The production of N2O in agricultural soils has been the focus of intense investigation (i.e., >1,000 published studies) and is a relatively well constrained component of the N2O budget (4). However, emissions of anthropogenic N2O from streams, rivers, and estuaries have received much less attention and remain a major source of uncertainty in the global anthropogenic N2O budget.
Microbial denitrification is a large source of N2O emissions in terrestrial and aquatic ecosystems. Most microbial denitrification is a form of anaerobic respiration in which nitrate (NO3−, the dominant form of inorganic N) is converted to dinitrogen (N2) and N2O gases (5). The proportion of denitrified NO3− that is converted to N2O rather than N2 (hereafter referred to as the N2O yield and expressed as the mole ratio) partially controls how much N2O is produced via denitrification (6), but few studies provide information on the N2O yield in streams and rivers because of the difficulty of measuring N2 and N2O production in these systems. Here we report rates of N2 and N2O production via denitrification measured using whole-stream 15NO3−-tracer experiments in 72 headwater streams draining different land-use types across the United States. This project, known as the second Lotic Intersite Nitrogen eXperiment (LINX II), provides unique whole-system measurements of the N2O yield in streams.
Although N2O emission rates have been reported for streams and rivers (7, 8), the N2O yield has been studied mostly in lentic freshwater and marine ecosystems, where it generally ranges between 0.1 and 1.0%, although yields as high as 6% have been observed (9). These N2O yields are low compared with observations in soils (0–100%) (10), which may be a result of the relatively lower oxygen (O2) availability in the sediments of lakes and estuaries. However, dissolved O2 in headwater streams is commonly near atmospheric equilibrium and benthic algal biofilms can produce O2 at the sediment–water interface, resulting in strong redox gradients more akin to those in partially wetted soils. Thus, streams may have variable and often high N2O yields, similar to those in soils (11). The N2O yield in headwater streams is of particular interest because much of the NO3− input to rivers is derived from groundwater upwelling into headwater streams. Furthermore, headwater streams compose the majority of stream length within a drainage network and have high ratios of bioreactive benthic surface area to water volume (12).
We identified molybdenite (MoS2) as an accessory magmatic phase in 13 out of 27 felsic magma systems examined worldwide. The molybdenite occurs as small (< 20 µm) triangular or hexagonal platelets included in quartz phenocrysts. Laser-ablation inductively coupled plasma mass spectrometry analyses of melt inclusions in molybdenite-saturated samples reveal 1–13 ppm Mo in the melt and geochemical signatures that imply a strong link to continental rift basalt–rhyolite associations. In contrast, arc-associated rhyolites are rarely molybdenite-saturated, despite similar Mo concentrations. This systematic dependence on tectonic setting seems to reflect the higher oxidation state of arc magmas compared with within-plate magmas. A thermodynamic model devised to investigate the effects of T, f O2 and f S2 on molybdenite solubility reliably predicts measured Mo concentrations in molybdenite-saturated samples if the magmas are assumed to have been saturated also in pyrrhotite. Whereas pyrrhotite microphenocrysts have been observed in some of these samples, they have not been observed from other molybdenite-bearing magmas. Based on the strong influence of f S2 on molybdenite solubility we calculate that also these latter magmas must have been at (or very close to) pyrrhotite saturation. In this case the Mo concentration of molybdenite-saturated melts can be used to constrain both magmatic f O2 and f S2 if temperature is known independently (e.g. by zircon saturation thermometry). Our model thus permits evaluation of magmatic f S2, which is an important variable but is difficult to estimate otherwise, particularly in slowly cooled rocks.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egr008","issn":"00223530","usgsCitation":"Audetat, A., Dolejs, D., and Lowenstern, J.B., 2011, Molybdenite saturation in silicic magmas: Occurrence and petrological implications: Journal of Petrology, v. 52, no. 5, p. 891-904, https://doi.org/10.1093/petrology/egr008.","productDescription":"14 p.","startPage":"891","endPage":"904","costCenters":[],"links":[{"id":243225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215419,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/petrology/egr008"}],"otherGeospatial":"Western USA, New Zealand, Italy, Indonesia and Eritrea","volume":"52","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-03-31","publicationStatus":"PW","scienceBaseUri":"505a5d29e4b0c8380cd701d4","contributors":{"authors":[{"text":"Audetat, A.","contributorId":94517,"corporation":false,"usgs":true,"family":"Audetat","given":"A.","affiliations":[],"preferred":false,"id":449499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dolejs, D.","contributorId":84582,"corporation":false,"usgs":true,"family":"Dolejs","given":"D.","email":"","affiliations":[],"preferred":false,"id":449498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":449497,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035919,"text":"70035919 - 2011 - Predicting breeding bird occurrence by stand- and microhabitat-scale features in even-aged stands in the Central Appalachians","interactions":[],"lastModifiedDate":"2021-02-08T18:34:32.277423","indexId":"70035919","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Predicting breeding bird occurrence by stand- and microhabitat-scale features in even-aged stands in the Central Appalachians","docAbstract":"Spatial scale is an important consideration when managing forest wildlife habitat, and models can be used to improve our understanding of these habitats at relevant scales. Our objectives were to determine whether stand- or microhabitat-scale variables better predicted bird metrics (diversity, species presence, and abundance) and to examine breeding bird response to clearcut size and age in a highly forested landscape. In 2004–2007, vegetation data were collected from 62 even-aged stands that were 3.6–34.6 ha in size and harvested in 1963–1990 on the Monongahela National Forest, WV, USA. In 2005–2007, we also surveyed birds at vegetation plots. We used classification and regression trees to model breeding bird habitat use with a suite of stand and microhabitat variables. Among stand variables, elevation, stand age, and stand size were most commonly retained as important variables in guild and species models. Among microhabitat variables, medium-sized tree density and tree species diversity most commonly predicted bird presence or abundance. Early successional and generalist bird presence, abundance, and diversity were better predicted by microhabitat variables than stand variables. Thus, more intensive field sampling may be required to predict habitat use for these species, and management may be needed at a finer scale. Conversely, stand-level variables had greater utility in predicting late-successional species occurrence and abundance; thus management decisions and modeling at this scale may be suitable in areas with a uniform landscape, such as our study area. Our study suggests that late-successional breeding bird diversity can be maximized long-term by including harvests >10 ha in size into our study area and by increasing tree diversity. Some harvesting will need to be incorporated regularly, because after 15 years, the study stands did not provide habitat for most early successional breeding specialists.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2010.10.020","issn":"03781127","usgsCitation":"McDermott, M., Wood, P.B., Miller, G., and Simpson, B., 2011, Predicting breeding bird occurrence by stand- and microhabitat-scale features in even-aged stands in the Central Appalachians: Forest Ecology and Management, v. 261, no. 3, p. 373-380, https://doi.org/10.1016/j.foreco.2010.10.020.","productDescription":"8 p.","startPage":"373","endPage":"380","costCenters":[],"links":[{"id":244089,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216231,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2010.10.020"}],"volume":"261","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a81aae4b0c8380cd7b66a","contributors":{"authors":[{"text":"McDermott, M.E.","contributorId":42793,"corporation":false,"usgs":true,"family":"McDermott","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":453136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":453139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, G.W.","contributorId":92377,"corporation":false,"usgs":true,"family":"Miller","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":453138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simpson, B.T.","contributorId":53193,"corporation":false,"usgs":true,"family":"Simpson","given":"B.T.","email":"","affiliations":[],"preferred":false,"id":453137,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035150,"text":"70035150 - 2011 - Use of the superpopulation approach to estimate breeding population size: An example in asynchronously breeding birds","interactions":[],"lastModifiedDate":"2021-03-02T13:03:17.111909","indexId":"70035150","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Use of the superpopulation approach to estimate breeding population size: An example in asynchronously breeding birds","docAbstract":"Many populations of animals are fluid in both space and time, making estimation of numbers difficult. Much attention has been devoted to estimation of bias in detection of animals that are present at the time of survey. However, an equally important problem is estimation of population size when all animals are not present on all survey occasions. Here, we showcase use of the superpopulation approach to capture–recapture modeling for estimating populations where group membership is asynchronous, and where considerable overlap in group membership among sampling occasions may occur. We estimate total population size of long‐legged wading bird (Great Egret and White Ibis) breeding colonies from aerial observations of individually identifiable nests at various times in the nesting season. Initiation and termination of nests were analogous to entry and departure from a population. Estimates using the superpopulation approach were 47–382% larger than peak aerial counts of the same colonies. Our results indicate that the use of the superpopulation approach to model nesting asynchrony provides a considerably less biased and more efficient estimate of nesting activity than traditional methods. We suggest that this approach may also be used to derive population estimates in a variety of situations where group membership is fluid.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-0137.1","issn":"00129658","usgsCitation":"Williams, K., Frederick, P.C., and Nichols, J.D., 2011, Use of the superpopulation approach to estimate breeding population size: An example in asynchronously breeding birds: Ecology, v. 92, no. 4, p. 821-828, https://doi.org/10.1890/10-0137.1.","productDescription":"8 p.","startPage":"821","endPage":"828","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475508,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/10-0137.1","text":"Publisher Index Page"},{"id":243226,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Broward County, Dade County, Palm Beach County","otherGeospatial":"Central and Northern Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.26611328125,\n 27.254629577800063\n ],\n [\n -81.2109375,\n 27.196014383173306\n ],\n [\n -81.6064453125,\n 26.667095801104814\n ],\n [\n -81.5185546875,\n 25.958044673317843\n ],\n [\n -81.2109375,\n 25.085598897064752\n ],\n [\n -80.37597656249999,\n 25.045792240303445\n ],\n [\n -79.78271484375,\n 25.522614647623293\n ],\n [\n -79.8046875,\n 26.725986812271756\n ],\n [\n -80.26611328125,\n 27.254629577800063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbfa0e4b08c986b329c84","contributors":{"authors":[{"text":"Williams, K.A.","contributorId":17445,"corporation":false,"usgs":true,"family":"Williams","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":449501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frederick, P. C.","contributorId":66645,"corporation":false,"usgs":true,"family":"Frederick","given":"P.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":449502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":449500,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032508,"text":"70032508 - 2011 - Macroscopic biofilms in fracture-dominated sediment that anaerobically oxidize methane","interactions":[],"lastModifiedDate":"2012-03-12T17:21:21","indexId":"70032508","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Macroscopic biofilms in fracture-dominated sediment that anaerobically oxidize methane","docAbstract":"Methane release from seafloor sediments is moderated, in part, by the anaerobic oxidation of methane (AOM) performed by consortia of archaea and bacteria. These consortia occur as isolated cells and aggregates within the sulfate-methane transition (SMT) of diffusion and seep-dominant environments. Here we report on a new SMT setting where the AOM consortium occurs as macroscopic pink to orange biofilms within subseafloor fractures. Biofilm samples recovered from the Indian and northeast Pacific Oceans had a cellular abundance of 10 7 to 10 8 cells cm -3. This cell density is 2 to 3 orders of magnitude greater than that in the surrounding sediments. Sequencing of bacterial 16S rRNA genes indicated that the bacterial component is dominated by Deltaproteobacteria, candidate division WS3, and Chloroflexi, representing 46%, 15%, and 10% of clones, respectively. In addition, major archaeal taxa found in the biofilm were related to the ANME-1 clade, Thermoplasmatales, and Desulfurococcales, representing 73%, 11%, and 10% of archaeal clones, respectively. The sequences of all major taxa were similar to sequences previously reported from cold seep environments. PhyloChip microarray analysis detected all bacterial phyla identified by the clone library plus an additional 44 phyla. However, sequencing detected more archaea than the PhyloChip within the phyla of Methanosarcinales and Desulfurococcales. The stable carbon isotope composition of the biofilm from the SMT (-35 to-43%) suggests that the production of the biofilm is associated with AOM. These biofilms are a novel, but apparently widespread, aggregation of cells represented by the ANME-1 clade that occur in methane-rich marine sediments. ?? 2011, American Society for Microbiology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied and Environmental Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1128/AEM.00288-11","issn":"00992240","usgsCitation":"Briggs, B., Pohlman, J., Torres, M., Riedel, M., Brodie, E., and Colwell, F., 2011, Macroscopic biofilms in fracture-dominated sediment that anaerobically oxidize methane: Applied and Environmental Microbiology, v. 77, no. 19, p. 6780-6787, https://doi.org/10.1128/AEM.00288-11.","startPage":"6780","endPage":"6787","numberOfPages":"8","costCenters":[],"links":[{"id":475069,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3187087","text":"External Repository"},{"id":213634,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1128/AEM.00288-11"},{"id":241280,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"19","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4b25e4b0c8380cd69317","contributors":{"authors":[{"text":"Briggs, B.R.","contributorId":89728,"corporation":false,"usgs":true,"family":"Briggs","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":436538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlman, J. W. 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":38362,"corporation":false,"usgs":true,"family":"Pohlman","given":"J. W.","affiliations":[],"preferred":false,"id":436535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torres, M.","contributorId":8668,"corporation":false,"usgs":true,"family":"Torres","given":"M.","affiliations":[],"preferred":false,"id":436533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riedel, M.","contributorId":65268,"corporation":false,"usgs":true,"family":"Riedel","given":"M.","email":"","affiliations":[],"preferred":false,"id":436537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brodie, E.L.","contributorId":9075,"corporation":false,"usgs":true,"family":"Brodie","given":"E.L.","email":"","affiliations":[],"preferred":false,"id":436534,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Colwell, F.S.","contributorId":38783,"corporation":false,"usgs":true,"family":"Colwell","given":"F.S.","email":"","affiliations":[],"preferred":false,"id":436536,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70032505,"text":"70032505 - 2011 - Evaluation of the Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010) using ICESat geodetic control","interactions":[],"lastModifiedDate":"2023-11-28T13:04:00.087566","indexId":"70032505","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of the Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010) using ICESat geodetic control","docAbstract":"Supported by NASA's Earth Surface and Interior (ESI) Program, we are producing a global set of Ground Control Points (GCPs) derived from the Ice, Cloud and land Elevation Satellite (ICESat) altimetry data. From February of 2003, to October of 2009, ICESat obtained nearly global measurements of land topography (+/- 86deg latitudes) with unprecedented accuracy, sampling the Earth's surface at discrete approx.50 m diameter laser footprints spaced 170 m along the altimetry profiles. We apply stringent editing to select the highest quality elevations and use these GCPs to characterize and quantify spatially varying elevation biases in Digital Elevation Models (DEMs). In this paper, we present an evaluation of the soon to be released Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010). Elevation biases and error statistics have been analyzed as a function of land cover and relief. The GMTED2010 products are a large improvement over previous sources of elevation data at comparable resolutions. RMSEs for all products and terrain conditions are below 7 m and typically are about 4 m. The GMTED2010 products are biased upward with respect to the ICESat GCPs on average by approximately 3 m.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications","conferenceDate":"May 26-29, 2011","conferenceLocation":"Nanjing, China","language":"English","publisher":"SPIE","doi":"10.1117/12.912776","usgsCitation":"Carabajal, C., Harding, D., Boy, J., Danielson, J.J., Gesch, D., and Suchdeo, V., 2011, Evaluation of the Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010) using ICESat geodetic control, in Proceedings of SPIE - The International Society for Optical Engineering, v. 8286, Nanjing, China, May 26-29, 2011, 82861Y, https://doi.org/10.1117/12.912776.","productDescription":"82861Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241248,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8286","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0cd4e4b0c8380cd52cf6","contributors":{"authors":[{"text":"Carabajal, C.C.","contributorId":37544,"corporation":false,"usgs":true,"family":"Carabajal","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":436520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harding, D.J.","contributorId":36723,"corporation":false,"usgs":true,"family":"Harding","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":436519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boy, J.-P.","contributorId":84569,"corporation":false,"usgs":true,"family":"Boy","given":"J.-P.","email":"","affiliations":[],"preferred":false,"id":436523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":40812,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":436521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gesch, D.B. 0000-0002-8992-4933","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":26886,"corporation":false,"usgs":true,"family":"Gesch","given":"D.B.","affiliations":[],"preferred":false,"id":436518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suchdeo, V.P.","contributorId":44744,"corporation":false,"usgs":true,"family":"Suchdeo","given":"V.P.","email":"","affiliations":[],"preferred":false,"id":436522,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}