The U.S. Geological Survey's National Cooperative Geologic Mapping Program's U.S. GeoFramework Initiative responds to Congressional direction to implement the National Geologic Map Database Phase Three. The U.S. GeoFramework Initiative aims to create and deliver a new digital geologic framework of the United States by 2030. This Fact Sheet outlines the collaborations needed and plans taken to achieve that goal.
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Box 25046, MS-980
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Accurate and complete data on fire locations and burned areas are needed to quantify trends and patterns of fire occurrence, characterize drivers of fire, project future fire pattern behavior, and help with assessments of fire effects on natural and social systems. The Landsat Collection 2 Level-3 Burned Area science product is designed to identify burned areas across all ecosystems (for example, forests, shrublands, and grasslands) for Landsat 4–9 data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223083","usgsCitation":"U.S. Geological Survey, 2022, Landsat Collection 2 Level-3 Burned Area science product (ver. 1.1, June 2023): U.S. Geological Survey Fact Sheet 2022–3083, 2 p., https://doi.org/10.3133/fs20223083.","productDescription":"Report: 2 p.; Dataset","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-139624","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":418240,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3083/coverthb2.jpg"},{"id":410296,"rank":1,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov/","text":"USGS database","linkHelpText":"—EarthExplorer"},{"id":418243,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2022/3083/versionHist.txt","size":"1 kB","linkFileType":{"id":2,"text":"txt"}},{"id":418241,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3083/fs20223083.pdf","text":"Report","size":"1.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022–3038"}],"edition":"Version 1.0: December 13, 2022; Version 1.1: June 20, 2023","contact":"Customer Services, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
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The Landsat Collection 2 Level-3 Dynamic Surface Water Extent science product provides raster data that represent surface water inundation per pixel in Landsat 4–9 imagery. The Collection 2 Dynamic Surface Water Extent science product contains six acquisition-based raster products relating to surface water. Surface water extent is modulated by weather and climate, stream network hydrology, and geological processes such as isostatic rebound. Land use, ecosystem and service management, and overall water management also are affected by changes in surface water extent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223084","usgsCitation":"U.S. Geological Survey, 2022, Landsat Collection 2 Level-3 Dynamic Surface Water Extent science product (ver. 1.1, June 2023): U.S. Geological Survey Fact Sheet 2022–3084, 2 p., https://doi.org/10.3133/fs20223084.","productDescription":"Report: 2 p.; Dataset","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-139625","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":410308,"rank":1,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov/","text":"USGS database","linkHelpText":"—EarthExplorer"},{"id":418247,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3084/coverthb2.jpg"},{"id":418249,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2022/3084/versionHist.txt","size":"1 kB","linkFileType":{"id":2,"text":"txt"}},{"id":418248,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3084/fs20223084.pdf","text":"Report","size":"1.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022–3084"}],"edition":"Version 1.0: December 13, 2022; Version 1.1: June 21, 2023","contact":"Customer Services, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
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More than 840 publications, 575 data releases, and 330 project web pages from the U.S. Geological Survey (USGS) pertain to the Colorado River Basin. Limited interconnections between Colorado River Basin publications, data, and web pages restrict the ability to synthesize and interpret scientific resources. Currently, these pieces are spread across multiple isolated locations, internal systems, data repositories, and local offices. The increasing size, complexity, and diversity of Colorado River Basin data creates additional need for integration. These different data types—including discrete, continuous, aerial, remote sensing, geophysical, geospatial, and other types in varied formats—are collected over numerous time and space scales and require data-intensive science and technology to integrate.
Information management technology (IMT) resources are enterprise capabilities that the USGS workforce can leverage at multiple scales with consistent interoperable solutions to better facilitate integrated science. The USGS 21st Century Science Strategy directs the USGS to establish enterprise IMT capabilities that support integrated work through interoperable software and database solutions at multiple scales. This Information Management Technology Plan identifies nine steps to leverage new and existing technologies, data, models, and scientific knowledge to support integrated science projects conducted across the Colorado River Basin. These steps are transferable to integrated-science studies in other locations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223051","usgsCitation":"Anderson, E.D, Erxleben, J.R., Qi, S.L., Monroe, A.P., and Dahm, K.G., 2022, U.S. Geological Survey Colorado River Basin Actionable and Strategic Integrated Science and Technology (ASIST)—Information Management Technology Plan: U.S. Geological Survey Fact Sheet 2022-3051, 4 p., https://doi.org/10.3133/fs20223051.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-132808","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":64844,"text":"Rocky Mountain Region Director’s Office","active":true,"usgs":true}],"links":[{"id":409861,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223051/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2022-3051"},{"id":409757,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3051/coverthb.jpg"},{"id":409758,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3051/fs20223051.pdf","text":"Report","size":"1.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3051"},{"id":409760,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20223010","text":"USGS Fact Sheet 2022-3010—","linkHelpText":"Addressing Stakeholder Science Needs for Integrated Drought Science in the Colorado River Basin Fact Sheet 2022-3010"},{"id":409803,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3051/images"},{"id":409804,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3051/fs20223051.xml"}],"country":"United States","state":"Arizona, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.00488281250001,\n 32.65787573695528\n ],\n [\n -114.78515624999999,\n 31.840232667909365\n ],\n [\n -113.99414062499999,\n 31.541089879585808\n ],\n [\n -113.2470703125,\n 31.015278981711266\n ],\n [\n -112.0166015625,\n 30.14512718337613\n ],\n [\n -110.654296875,\n 29.878755346037977\n ],\n [\n -109.86328125,\n 29.99300228455108\n ],\n [\n -108.720703125,\n 30.600093873550072\n ],\n [\n -108.28125,\n 31.653381399664\n ],\n [\n -108.28125,\n 32.54681317351514\n ],\n [\n -107.9736328125,\n 33.87041555094183\n ],\n [\n -107.40234375,\n 34.23451236236987\n ],\n [\n -106.9189453125,\n 35.88905007936091\n ],\n [\n -106.69921875,\n 36.35052700542763\n ],\n [\n -106.3916015625,\n 37.23032838760387\n ],\n [\n -106.3916015625,\n 38.272688535980976\n ],\n [\n -106.3916015625,\n 39.13006024213511\n ],\n [\n -106.12792968749999,\n 40.84706035607122\n ],\n [\n -106.3037109375,\n 41.47566020027821\n ],\n [\n -107.09472656249999,\n 41.96765920367816\n ],\n [\n -108.67675781249999,\n 42.32606244456202\n ],\n [\n -109.7314453125,\n 43.03677585761058\n ],\n [\n -110.654296875,\n 43.45291889355465\n ],\n [\n -111.09374999999999,\n 43.389081939117496\n ],\n [\n -111.1376953125,\n 42.61779143282346\n ],\n [\n -111.005859375,\n 42.16340342422401\n ],\n [\n -110.830078125,\n 41.376808565702355\n ],\n [\n -111.0498046875,\n 40.51379915504413\n ],\n [\n -111.4013671875,\n 39.740986355883564\n ],\n [\n -111.533203125,\n 37.68382032669382\n ],\n [\n -112.19238281249999,\n 37.43997405227057\n ],\n [\n -113.203125,\n 37.3002752813443\n ],\n [\n -114.2138671875,\n 37.37015718405753\n ],\n [\n -114.521484375,\n 38.20365531807149\n ],\n [\n -115.13671875,\n 38.51378825951165\n ],\n [\n -115.400390625,\n 37.16031654673677\n ],\n [\n -115.1806640625,\n 35.92464453144099\n ],\n [\n -114.82910156249999,\n 34.994003757575776\n ],\n [\n -114.697265625,\n 33.7243396617476\n ],\n [\n -115.00488281250001,\n 32.65787573695528\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Region 7 - Upper Colorado Basin
U.S. Geological Survey
Box 25046, MS-911
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 13,929 million (13.9 billion) barrels of oil and 193,721 billion (193.7 trillion) cubic feet of gas within the Senegal Basin Province of northwest Africa.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20223080","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Le, P.A., Cicero, A.D., Drake, R.M., II, Ellis G.S., Finn, T.M., Gardner, M.H., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., Marra, K.R., Timm, K.K., and Young, S.S., 2022, Assessment of undiscovered conventional oil and gas resources of the Senegal Basin Province of northwest Africa, 2021: U.S. Geological Survey Fact Sheet 2022–3080, 2 p., https://doi.org/10.3133/fs20223080.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-133002","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":409553,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223080/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2022-3069"},{"id":409534,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3080/fs20223080.xml"},{"id":409533,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3080/images"},{"id":409421,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QN4RG5","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project–Senegal Basin Province: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":409420,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3080/fs20223080.pdf","text":"Report","size":"700.0 kB","description":"FS 2022-3080"},{"id":409419,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3080/coverthb2.jpg"}],"otherGeospatial":"Senegal Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -12,\n 24\n ],\n [\n -24,\n 24\n ],\n [\n -24,\n 8\n ],\n [\n -12,\n 8\n ],\n [\n -12,\n 24\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The purpose of the Upper Klamath Basin Groundwater Flow Model (UKBGFM) is to simulate groundwater conditions in the Upper Klamath Basin under historical and predevelopment conditions. The UKBGFM quantifies estimates of and changes in groundwater levels, storage, pumping, drainage flow to tile drains, evapotranspiration, and flow between the Upper Klamath Basin and neighboring basins. The quantifications of base flow to streams and seepage to and from lakes and reservoirs can be used as inputs to the RiverWare Mass Balance Model (Zagona and others, 2001), a companion model being developed as part of the Klamath Natural Flow Study (KNFS).
","language":"English","publisher":"U.S. Bureau of Reclamation","usgsCitation":"Traum, J.A., and Boyce, S.E., 2022, Klamath natural flow study, Upper Klamath Basin groundwater flow model: Fact Sheet, 2 p.","productDescription":"2 p.","ipdsId":"IP-145778","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":418055,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.usbr.gov/mp/kbao/docs/04-factsheet-gwmodeling-final.pdf"},{"id":418057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Upper Klamath basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.54532325728275,\n 42.588031447169925\n ],\n [\n -124.57092240453784,\n 42.588031447169925\n ],\n [\n -124.57092240453784,\n 41.175\n ],\n [\n -121.54532325728275,\n 41.175\n ],\n [\n -121.54532325728275,\n 42.588031447169925\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856126,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70237809,"text":"fs20223077 - 2022 - A multiscale approach for monitoring groundwater discharge to headwater streams by the U.S. Geological Survey Next Generation Water Observing System Program—An example from the Neversink Reservoir watershed, New York","interactions":[],"lastModifiedDate":"2026-03-25T16:43:06.391121","indexId":"fs20223077","displayToPublicDate":"2022-10-25T06:15:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3077","displayTitle":"A Multiscale Approach for Monitoring Groundwater Discharge to Headwater Streams by the U.S. Geological Survey Next Generation Water Observing System Program—An Example From the Neversink Reservoir Watershed, New York","title":"A multiscale approach for monitoring groundwater discharge to headwater streams by the U.S. Geological Survey Next Generation Water Observing System Program—An example from the Neversink Reservoir watershed, New York","docAbstract":"Groundwater-stream connectivity across mountain watersheds is critical for supporting streamflow during dry times and keeping streams cool during warm times, yet U.S. Geological Survey (USGS) stream measurements are often sparse in headwaters. Starting in 2019, the USGS Next Generation Water Observing System Program developed a multiscale methods and technology testbed approach to monitoring groundwater discharge to streams in the Neversink Reservoir watershed in the Catskill Mountains of New York. Groundwater discharge dynamics are complex across space and time because of geographic variability, topography, and preferential groundwater flow patterns, and the monitoring of discharge processes necessitates an innovative approach that includes emerging water tracing methods and enhanced local geologic mapping. This fact sheet describes the multiscale monitoring approach applied in the Neversink Reservoir watershed and specifically how the varied data types are complimentary in understanding groundwater-stream connectivity, with elements transferable to other mountain watersheds.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223077","usgsCitation":"Briggs, M.A., Gazoorian, C.L., Doctor, D.H., and Burns, D.A., 2022, A multiscale approach for monitoring groundwater discharge to headwater streams by the U.S. Geological Survey Next Generation Water Observing System Program—An example from the Neversink Reservoir watershed, New York: U.S. Geological Survey Fact Sheet 2022–3077, 6 p., https://doi.org/10.3133/fs20223077.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-140810","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":501511,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113787.htm","linkFileType":{"id":5,"text":"html"}},{"id":435646,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R3TYOZ","text":"USGS data release","linkHelpText":"Stream Temperature, Dissolved Radon, and Stable Water Isotope Data Collected along Headwater Streams in the Upper Neversink River Watershed, NY, USA (ver. 2.0, April 2023)"},{"id":408663,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3077/images/"},{"id":408662,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3077/fs20223077.XML"},{"id":408661,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223077/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2022-3077"},{"id":408660,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3077/fs20223077.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3077"},{"id":408659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3077/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Neversink Reservoir Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.20847061475345,\n 42.188348269216135\n ],\n [\n -74.59712682347332,\n 42.248700527889696\n ],\n [\n -75.01085762630467,\n 41.923046154032335\n ],\n [\n -74.86354438590236,\n 41.71281459504877\n ],\n [\n -74.42317182682854,\n 41.88105505768368\n ],\n [\n -74.19906764196153,\n 42.012767732647546\n ],\n [\n -74.20847061475345,\n 42.188348269216135\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Program Manager, Next Generation Water Observing System
Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Often referred to as “mudflows,” debris flows are a type of landslide made up of a rapidly moving mixture of dirt, rocks, trees, and water (and sometimes ash) that start on a hillside and travel downvalley. They can easily overflow channels and severely damage houses, vehicles, or other structures. Areas burned by wildfires are especially susceptible to these hazards, which can be triggered by storms occurring days to years after a fire. Debris flows in burned areas can start on a dry slope after only a few minutes of heavy rainfall—about half an inch an hour or more. They can also threaten unsuspecting areas downstream, as debris flows can travel many miles and affect places that were neither burned nor received any rain. The tips provided in this Fact Sheet can help to keep you safe in a potential debris flow danger area.
","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223078","collaboration":"Prepared in cooperation with the National Weather Service","usgsCitation":"Sobieszczyk, S., and Kean, J.W., 2022, Postfire debris flow hazards—Tips to keep you safe: U.S. Geological Survey Fact Sheet 2022–3078, 2 p., https://doi.org/10.3133/fs20223078. [In English and Spanish.]","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-143718","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":408389,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3078/coverthb.jpg"},{"id":408390,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3078/fs20223078.pdf","text":"Report","size":"570 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022–3078"}],"contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable continuous resources of 5.8 billion barrels of oil and 22.4 trillion cubic feet of gas in the Mesozoic Total Petroleum Systems of the Central European Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223069","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Leathers-Miller, H.M., Le, P.A., Drake, R.M., II, Kinney, S.A., and Brownfield, M.E., 2022, Assessment of undiscovered conventional oil and gas resources in Mesozoic total petroleum systems of the Central European Basin system, 2019: U.S. Geological Survey Fact Sheet 2022–3069, 4 p., https://doi.org/10.3133/fs20223069.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-115545","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":407698,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N5F8XY","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Mesozoic Petroleum Systems of Central European Basin System: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":407696,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3069/coverthb.jpg"},{"id":407697,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3069/fs20223069.pdf","text":"Report","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3069"}],"otherGeospatial":"Central European Basin system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -9.667968749999975,\n 50.2893392532918\n ],\n [\n 9.93164062500003,\n 50.2893392532918\n ],\n [\n 9.93164062500003,\n 63.11463763252086\n ],\n [\n -9.667968749999975,\n 63.11463763252086\n ],\n [\n -9.667968749999975,\n 50.2893392532918\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 14,785 billion cubic feet of gas resources in the Western Gulf Basin Province, U.S. Gulf Coast region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20223067","usgsCitation":"Merrill, M.D., Enomoto, C.B., 2022, Assessment of undiscovered conventional gas resources in the Deep Tuscaloosa Group Sandstones of the Western Gulf Basin Province, U.S. Gulf Coast region, 2021: U.S. Geological Survey Fact Sheet 2022–3067, 2 p., https://doi.org/10.3133/fs20223067.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-129238","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":501507,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113611.htm","linkFileType":{"id":5,"text":"html"}},{"id":407558,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W8FATW","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-U.S. Gulf Coast, Deep Tuscaloosa Conventional Gas: Assessment Unit Boundary, Assessment Input Data, and Fact Sheet Data Tables"},{"id":407557,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3067/fs20223067.pdf","text":"Report","size":"824 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3067"},{"id":407556,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3067/coverthb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.72558593749999,\n 29.80251790576445\n ],\n [\n -90.28564453124999,\n 30.581179257386985\n ],\n [\n -91.82373046875,\n 31.052933985705163\n ],\n [\n -93.9605712890625,\n 31.21280145833882\n ],\n [\n -93.2958984375,\n 29.869228848968312\n ],\n [\n -93.33984375,\n 29.711910431038035\n ],\n [\n -90.5108642578125,\n 28.95528229297461\n ],\n [\n -89.1485595703125,\n 28.91682310329166\n ],\n [\n -88.72558593749999,\n 29.80251790576445\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geology, Energy & Minerals Science Center
U.S. Geological Survey
956 National Center
Reston, VA 20192
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 4.9 billion barrels of oil and 21 trillion cubic feet of gas within the Volga-Ural Basin Province and technically recoverable mean conventional resources of 1.8 billion barrels of oil and 9.5 trillion cubic of gas in the Timan-Pechora Basin Province, Russia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20223070","usgsCitation":"Schenk, C.J., Mercier, T.J., Ellis, G.S., Woodall, C.A., Finn, T.M., Tennyson, M.E., Le, P.A., Leathers-Miller, H.M., and Drake, R.M., II, 2022, Assessment of undiscovered conventional oil and gas resources of the Volga-Ural Basin and Timan-Pechora Basin Provinces of Russia, 2020: U.S. Geological Survey Fact Sheet 2022–3070, 2 p., https://doi.org/10.3133/fs20223070.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":407292,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98J8PN3","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Volga-Ural Basin and Timan-Pechora Basin Provinces of Russia: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":407291,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3070/fs20223070.pdf","text":"Report","size":"9.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3070"},{"id":407290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3070/coverthb.jpg"}],"country":"Russia","otherGeospatial":"Timan-Pechora Basin, Volga-Ural Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 72,\n 46\n ],\n [\n 34,\n 46\n ],\n [\n 34,\n 72\n ],\n [\n 72,\n 72\n ],\n [\n 72,\n 46\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered resource means of 1.8 billion barrels of oil and 129.5 trillion cubic feet of gas within New Guinea, Papua Barat, Seram, and Timor-Leste.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20223046","usgsCitation":"Schenk, C.J., Mercier, T.J., Tennyson, M.E., Ellis, G.S., Woodall, C.A., Le, P.A., Leathers-Miller, H.M., and Drake, R.M., II, 2022, Assessment of undiscovered conventional oil and gas resources of New Guinea, Papua Barat, Seram, and Timor-Leste, 2020: U.S. Geological Survey Fact Sheet 2022–3046, 4 p., https://doi.org/10.3133/fs20223046.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-128166","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":407171,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P8ZIMP","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Papua New Guinea, Papua Barat, Seram, and Timor-Leste: Assessment Unit Boundaries, Assessment Input Forms, and Fact Sheet Data Tables"},{"id":407170,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3046/fs20223046.pdf","text":"Report","size":"916 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3046"},{"id":407169,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3046/coverthb.jpg"}],"country":"New Guinea, Papua Barat, Seram, and Timor-Leste","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 122,\n -16\n ],\n [\n 152,\n -16\n ],\n [\n 152,\n 4\n ],\n [\n 122,\n 4\n ],\n [\n 122,\n -16\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Urban forests have largely been overlooked for the role they play in reducing stormwater runoff volume by using hydrologic processes such as interception (rainfall intercepted by tree canopy), evapotranspiration (the transfer of water from vegetation into the atmosphere) and infiltration (percolation of rainwater into the Earth’s soil). Early research into the effects of trees on urban stormwater runoff used simple estimates based on assumptions of canopy coverage and design storm criteria. In a review of available literature on how capable urban trees are at reducing runoff, the Center for Watershed Protection (2017) found only six studies; three of them used measured data from a single plot, and the other three used models. When identifying gaps in research on the role of trees in stormwater management, Kuehler and others (2017) highlighted the need for studies that scale the local effects of urban trees to the larger sewershed catchment area, allowing a more holistic understanding of the urban tree canopy effects on hydrology.
For these reasons, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, U.S. Forest Service, and the University of Wisconsin, quantified the effect of removing urban street trees and their canopy on stormwater generation in a medium-density residential area. Using a paired-catchment experimental design, rainfall-runoff relations were characterized in two medium-density residential catchments in Fond du Lac, Wisconsin, during May through September in 2018–20. Results of the study are detailed in Selbig and others (2022).
During the calibration phase, hydrograph metrics from paired runoff events were used to develop the relation between the control and test catchments with street trees in place. The ability to measure changes to the rainfall-runoff response after removal of tree canopy was made possible by an aggressive tree removal program by the city as a response to rapid infestation from the Agrilus planipennis (emerald ash borer). In March 2020, a total of 31 street trees were removed at the onset of the treatment period, resulting in a loss of 2,990 square meters of canopy over streets, driveways, sidewalks, and grassed areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223074","usgsCitation":"Selbig, W.R., Loheide, S.P., II, Shuster, W., Scharenbroch, B.C., Coville, R.C., Kruegler, J., Avery, W., Haefner, R., and Nowak, D., 2022, Loss of street tree canopy increases stormwater runoff: U.S. Geological Survey Fact Sheet 2022–3074, 4 p., https://doi.org/10.3133/fs20223074.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-141242","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":407081,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3074/fs20223074.XML"},{"id":407082,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3074/images"},{"id":407157,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/fs20223074/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":407079,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3074/coverthb.jpg"},{"id":407080,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3074/fs20223074.pdf","text":"Report","size":"1.97 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022–3074"},{"id":501510,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113526.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","city":"Fond du Lac","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.494873046875,\n 43.72148995228582\n ],\n [\n -88.37127685546875,\n 43.72148995228582\n ],\n [\n -88.37127685546875,\n 43.82065657651688\n ],\n [\n -88.494873046875,\n 43.82065657651688\n ],\n [\n -88.494873046875,\n 43.72148995228582\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 278 million barrels of oil and 25.7 trillion cubic feet of gas in Paleozoic total petroleum systems of the Central European Basin System.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20223066","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Leathers-Miller, H.M., Le, P.A., Drake, R.M., II, and Brownfield, M.E., 2022, Assessment of undiscovered conventional oil and gas resources in Paleozoic total petroleum systems of the Central European Basin system, 2019: U.S. Geological Survey Fact Sheet 2022–3066, 4 p., https://doi.org/10.3133/fs20223066.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-115741","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":406405,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R9DNDO","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Paleozoic Petroleum Systems of Central European Basin System: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":406404,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3066/fs20223066.pdf","text":"Report","size":"7.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS2022-3066"},{"id":406403,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3066/coverthb.jpg"}],"country":"Belgium, Denmark, Germany, Netherlands, Norway, Poland, Sweden, United Kingdom","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -1.58203125,\n 51.25\n ],\n [\n 20.0390625,\n 51.25\n ],\n [\n 20.0390625,\n 58.26328705248601\n ],\n [\n -1.58203125,\n 58.26328705248601\n ],\n [\n -1.58203125,\n 51.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The U.S. Geological Survey (USGS) operates an extensive nationwide network of stream, rain, and groundwater gages. These instruments are used to monitor how much water there is across the Nation at any given moment. Stream data are collected at streamgages every 15 minutes, transmitted to USGS servers, and updated online in real time. To improve awareness of current water conditions and possible flooding, stream data are combined with rain data collected at nearby USGS rain gages. The National Weather Service uses the USGS stream and rain data to forecast when flooding might occur and issue flood warnings.
","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223076","collaboration":"Prepared in cooperation with National Weather Service","usgsCitation":"Sobieszczyk, S., 2022, How USGS gages are used in flood forecasting: U.S. Geological Survey Fact Sheet 2022–3076, 2 p., https://doi.org/10.3133/fs20223076. [In English and Spanish.]","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-143721","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":406458,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3076/fs20223076.pdf","size":"422 kB","linkFileType":{"id":1,"text":"pdf"},"description":"fs 2022-3076"},{"id":406457,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3076/coverthb.jpg"}],"contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 12.9 billion barrels of oil and 684.3 trillion cubic feet of gas in the West Siberian Basin Province of Russia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20223047","usgsCitation":"Schenk, C.J., Mercier, T.J., Ellis, G.S., Woodall, C.A., Le, P.A., Leathers-Miller, H.M., and Drake, R.M., II, 2022, Assessment of undiscovered conventional oil and gas resources of the West Siberian Basin Province, Russia, 2020: U.S. Geological Survey Fact Sheet 2022−3047, 2 p., https://doi.org/10.3133/fs20223047.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-129429","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":406337,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3047/fs20223047.pdf","text":"Report","size":"8.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3047"},{"id":406336,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3047/coverthb.jpg"},{"id":406338,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PGOVUB","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-West Siberian Basin Province of Russia: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"}],"country":"Russia","state":"Siberia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 48,\n 54\n ],\n [\n 102,\n 54\n ],\n [\n 102,\n 74\n ],\n [\n 48,\n 74\n ],\n [\n 48,\n 54\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Science provided by the U.S. Geological Survey (USGS) Eastern Ecological Science Center (EESC) helps to protect fish and aquatic animal health and support disease management of our Nation’s fisheries and aquatic animal populations. Our capabilities and expertise span diverse, yet highly integrated disciplines related to all aspects of biology, ecology, and animal health. Our scientists work to identify novel and emerging pathogens and diseases to assess fish and aquatic animal responses to parasites, pathogens, adverse environmental conditions, and chemical exposures. Eastern Ecological Science Center research is conducted both in laboratories and in the field in various aquatic environments ranging from headwater streams to the ocean. The EESC team provides science leadership and support for fisheries and aquatic species specialists nationwide.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223073","usgsCitation":"Densmore, C.L., and Malpass, J.S., 2022, Eastern Ecological Science Center — Fish and aquatic animal health: U.S. Geological Survey Fact Sheet 2022–3073, 2 p., https://doi.org/10.3133/fs20223073.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-142592","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":406006,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3073/coverthb.jpg"},{"id":406007,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3073/fs20223073.pdf","text":"Report","size":"433 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3073"}],"contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430
Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 783 million barrels of conventional oil and 17,606 billion (17.6 trillion) cubic feet of conventional gas in the Montana Thrust Belt Province.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223048","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Le, P.A., Cicero, A.D., Drake, R.M., II., Ellis, G.S., Finn, T.M., Gardner, M.H., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., Marra, K.R., Timm, K.K., and Young, S.S., 2022, Assessment of undiscovered conventional oil and gas resources of the Montana Thrust Belt Province, 2021: U.S. Geological Survey Fact Sheet 2022−3048, 2 p., https://doi.org/10.3133/fs20223048.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-132654","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":406005,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J6IUZ2","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Montana Thrust Belt Province: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":406004,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3048/fs20223048.pdf","text":"Report","size":"9.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3048"},{"id":406003,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3048/coverthb.jpg"},{"id":501505,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113430.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"Cordilleran orogenic belt, Montana Thrust Belt Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.411376953125,\n 48.97300592158682\n ],\n [\n -114.927978515625,\n 48.64016871811908\n ],\n [\n -115.059814453125,\n 48.40003249610685\n ],\n [\n -115.24658203125,\n 48.158757304569235\n ],\n [\n -115.213623046875,\n 47.85740289465826\n ],\n [\n -115.02685546875,\n 47.52461999690651\n ],\n [\n -114.71923828124999,\n 47.24194882163242\n ],\n [\n -114.36767578124999,\n 47.025206001585396\n ],\n [\n -114.136962890625,\n 46.77749276376827\n ],\n [\n -114.224853515625,\n 46.483264729155586\n ],\n [\n -114.2578125,\n 46.23305294479828\n ],\n [\n -114.169921875,\n 45.97406038956237\n ],\n [\n -113.917236328125,\n 45.744526980468436\n ],\n [\n -113.6865234375,\n 45.521743896993634\n ],\n [\n -113.44482421875,\n 45.166547157856016\n ],\n [\n -113.104248046875,\n 44.84029065139799\n ],\n [\n -112.774658203125,\n 44.574817404670306\n ],\n [\n -112.54394531249999,\n 44.457309801319305\n ],\n [\n -111.73095703125,\n 44.55916341529182\n ],\n [\n -111.456298828125,\n 44.59829048984011\n ],\n [\n -110.93994140625,\n 45.07352060670971\n ],\n [\n -110.401611328125,\n 45.56021795715051\n ],\n [\n -110.203857421875,\n 46.14178273759234\n ],\n [\n -110.401611328125,\n 46.50595444552049\n ],\n [\n -111.11572265625,\n 46.77749276376827\n ],\n [\n -111.357421875,\n 47.07760411715964\n ],\n [\n -112.30224609374999,\n 47.286681888764214\n ],\n [\n -112.576904296875,\n 47.517200697839414\n ],\n [\n -112.54394531249999,\n 48.011975126709956\n ],\n [\n -112.928466796875,\n 48.32703913063476\n ],\n [\n -113.170166015625,\n 48.46563710044979\n ],\n [\n -113.466796875,\n 49.001843917978526\n ],\n [\n -115.411376953125,\n 48.97300592158682\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Market-based conservation makes use of economic incentives to promote actions that avoid, minimize, or compensate for detrimental effects on natural resources and the environment. Examples of market-based conservation mechanisms include aquatic-resource (such as, streams, wetlands, and estuaries) compensatory mitigation, conservation banking, habitat exchanges, and payments for ecosystem services. A critical component in the operation of these market-based conservation mechanisms is the methods (hereafter referred to as “quantification tools”) used to assess existing (sometimes referred to as “baseline”) or potential site conditions. Quantification tools are used to assign values to the benefits provided by preservation, restoration, or enhancement actions, as well as the negative effects of human activities (for example, infrastructure development, energy extraction, and anthropogenic disasters).
In 2018, the U.S. Geological Survey (USGS) published a database describing the attributes of 69 quantification tools developed for United States conservation markets. The database focused on tools used for species-based mitigation, payments for ecosystem services, and ecolabel programs (Chiavacci and Pindilli, 2020). Recently, the USGS, in collaboration with the U.S. Environmental Protection Agency, revised the original database by updating the existing tool information, adding newly developed tools, and broadening the scope to include tools developed for compensatory mitigation under the Clean Water Act Section 404 Regulatory Program.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223068","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Chiavacci, S.J., French, E.D., and Morgan, J.A., 2022, Database of biodiversity, habitat, and aquatic-resource quantification tools used in market-based conservation — 2022 update: U.S. Geological Survey Fact Sheet 2022–3068, 2 p., https://doi.org/10.3133/fs20223068.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-140564","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":405533,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223068/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2022-3068"},{"id":406471,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79G5M3X","text":"USGS data release","linkHelpText":"Database of Biodiversity, Habitat, and Aquatic Resource Quantification Tools Used for Market-based Conservation in the United States (ver. 2.0, June 2022)"},{"id":405535,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3068/fs20223068.XML"},{"id":405534,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3068/images/"},{"id":405509,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3068/fs20223068.pdf","text":"Report","size":"558 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3068"},{"id":405508,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3068/coverthb3.jpg"}],"contact":"Science and Decisions Center
12201 Sunrise Valley Drive
Reston, VA 20192
The U.S. Geological Survey maintains a network of hydrologic monitoring stations across Kansas in cooperation with Federal, State, Tribal, and local agencies. During water year 2021, this network included 230 real-time surface water data collection sites, referred to as “streamgages.” A water year is the 12-month period from October 1 through September 30 and is designated by the calendar year in which it ends. These real-time data are routinely collected and calibrated by U.S. Geological Survey personnel via regular measurements of streamflow and water levels. Analyses of these data provide an understanding of hydrologic conditions in the State critical to the management of water resources, industrial and agricultural uses, protection of life and property during flooding, operation of reservoirs, recreation, and other activities.
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U.S. Geological Survey
1217 Biltmore Drive
Lawrence, KS 66049
The maps and graphs in this summary describe national streamflow conditions for water year 2021 (a water year is the period from October 1 to September 30 and is designated by the year in which it ends; for example, water year 2021 was from October 1, 2020, to September 30, 2021) in the context of streamflow ranks relative to the 92-year period of water years 1930–2021. Annual runoff in the Nation’s rivers and streams during water year 2021 (9.43 inches) was higher than the long-term (1930–2021) mean annual runoff of 9.42 inches for the contiguous United States. Nationwide, the 2021 streamflow ranked the 46th highest out of the 92 years.
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The U.S. Geological Survey Benchmark Glacier Project combines decades of direct glaciological data with remote sensing data to advance the quantitative understanding of glacier-climate interactions. The global loss of glaciers, and consequent implications for water resources, sea level rise, and ecosystem function underscores the importance of U.S. Geological Survey glaciology research to facilitate adaptive strategies.
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In response to increasing groundwater demand and declining groundwater levels in the Harney Basin of southeastern Oregon, the U.S. Geological Survey and the Oregon Water Resources Department conducted a cooperative groundwater-availability study during 2016–22. This Fact Sheet summarizes the results of this study. Full details of the study are provided in Gingerich and others (2022a, 2022b), Garcia and others (2022), and the other supporting documents listed on the last page of this Fact Sheet.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223052","collaboration":"Prepared in cooperation with the Oregon Water Resources Department","usgsCitation":"Gingerich, S.B., Garcia, C.A., and Johnson, H.M., 2022, Groundwater resources of the Harney Basin, southeastern Oregon (ver. 1.1, June 2025): U.S. Geological Survey Fact Sheet 2022–3052, 6 p., https://doi.org/10.3133/fs20223052.","productDescription":"Report: 6 p.; Data Release","ipdsId":"IP-140289","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":494145,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113361.htm","linkFileType":{"id":5,"text":"html"}},{"id":404793,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20215103","text":"Scientific Investigations Report 2021–5103","description":"SIR 2021–5103","linkHelpText":"- Groundwater resources of the Harney Basin, Oregon"},{"id":404792,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20215128","text":"Scientific Investigations Report 2021–5128","description":"SIR 2021–5128","linkHelpText":"- Hydrologic budget of the Harney Basin groundwater system, Oregon"},{"id":404791,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J0FE5M","text":"USGS data release","description":"USGS data release","linkHelpText":"Location information, discharge, and water-quality data for selected wells, springs, and streams in the Harney Basin, Oregon"},{"id":490440,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2022/3052/versionHistory.txt","description":"FS 2022-3052 version history"},{"id":404790,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3052/fs20223052.pdf","text":"Report","size":"5.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3052"},{"id":404789,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3052/coverthb2.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Harney Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.2783203125,\n 42.39912215986002\n ],\n [\n -117.94921874999999,\n 42.39912215986002\n ],\n [\n -117.94921874999999,\n 44.276671273775186\n ],\n [\n -120.2783203125,\n 44.276671273775186\n ],\n [\n -120.2783203125,\n 42.39912215986002\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: August 3, 2022; Version 1.1: June 11, 2025","contact":"Director, Oregon Water Science Center
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911 NE 11th Avenue
Portland, Oregon 97232
Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The stream-valley aquifers constitute one of the important aquifer systems being evaluated.
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U.S. Geological Survey
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Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The surficial aquifer system constitutes one of the important aquifer systems being evaluated.
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\"}}]}","contact":"NAWQA Chief Scientist
National Water-Quality Program
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 413
Reston, VA 20192-0002