<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>E Matthews</dc:contributor>
  <dc:contributor>D Bastviken</dc:contributor>
  <dc:contributor>Bridget R. Deemer</dc:contributor>
  <dc:contributor>Jinyang Du</dc:contributor>
  <dc:contributor>V Genovese</dc:contributor>
  <dc:creator>Matthew S Johnson</dc:creator>
  <dc:date>2021</dc:date>
  <dc:description>&lt;div class="article-section__content en main"&gt;&lt;p&gt;Inland aquatic systems, such as reservoirs, contribute substantially to global methane (CH&lt;sub&gt;4&lt;/sub&gt;) emissions; yet are among the most uncertain components of the total CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;budget. Reservoirs have received recent attention as they may generate high CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;fluxes. Improved quantification of these CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;fluxes, particularly their spatiotemporal distribution, is key to realistically incorporating them in CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;modeling and budget studies. Here we report on a new global, gridded (0.25° lat&amp;nbsp;×&amp;nbsp;0.25° lon) study of reservoir CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;emissions, accounting for new knowledge regarding reservoir areal extent and distribution, and spatiotemporal emission patterns influenced by diurnal variability, temperature-dependent seasonality, satellite-derived freeze-thaw dynamics, and eco-climatic zone. The results of this new data set comprise daily CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;emissions throughout the full annual cycle and show that reservoirs cover 297&amp;nbsp;×&amp;nbsp;10&lt;sup&gt;3&lt;/sup&gt;&amp;nbsp;km&lt;sup&gt;2&lt;/sup&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;globally and emit 10.1&amp;nbsp;Tg&amp;nbsp;CH&lt;sub&gt;4&lt;/sub&gt;&amp;nbsp;yr&lt;sup&gt;−1&lt;/sup&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;(1σ uncertainty range of 7.2–12.9&amp;nbsp;Tg&amp;nbsp;CH&lt;sub&gt;4&lt;/sub&gt;&amp;nbsp;yr&lt;sup&gt;−1&lt;/sup&gt;) from diffusive (1.2&amp;nbsp;Tg&amp;nbsp;CH&lt;sub&gt;4&lt;/sub&gt;&amp;nbsp;yr&lt;sup&gt;−1&lt;/sup&gt;) and ebullitive (8.9&amp;nbsp;Tg&amp;nbsp;CH&lt;sub&gt;4&lt;/sub&gt;&amp;nbsp;yr&lt;sup&gt;−1&lt;/sup&gt;) emission pathways. This analysis of reservoir CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;emission addresses multiple gaps and uncertainties in previous studies and represents an important contribution to studies of the global CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;budget. The new data sets and methodologies from this study provide a framework to better understand and model the current and future role of reservoirs in the global CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;budget and to guide efforts to mitigate reservoir-related CH&lt;sub&gt;4&lt;/sub&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;emissions.&lt;/p&gt;&lt;/div&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1029/2021JG006305</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>American Geophysical Union</dc:publisher>
  <dc:title>Spatiotemporal methane emission from global reservoirs</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>