Item talk:Q300867

From geokb

{

 "USGS Publications Warehouse": {
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   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Upscaling wetland methane emissions from the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model development, network assessment, and budget comparison",
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       "value": "10.1029/2023AV000956",
       "url": "https://doi.org/10.1029/2023AV000956"
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   "journal": {
     "@type": "Periodical",
     "name": "AGU Advances",
     "volumeNumber": "4",
     "issueNumber": "5"
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   "inLanguage": "en",
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   "datePublished": "2023",
   "dateModified": "2023-09-25",
   "abstract": "Wetlands are responsible for 20%\u201331% of global methane (CH4) emissions and account for a large source of uncertainty in the global CH4\u00a0budget. Data-driven upscaling of CH4\u00a0fluxes from eddy covariance measurements can provide new and independent bottom-up estimates of wetland CH4\u00a0emissions. Here, we develop a six-predictor random forest upscaling model (UpCH4), trained on 119 site-years of eddy covariance CH4\u00a0flux data from 43 freshwater wetland sites in the FLUXNET-CH4 Community Product. Network patterns in site-level annual means and mean seasonal cycles of CH4\u00a0fluxes were reproduced accurately in tundra, boreal, and temperate regions (Nash-Sutcliffe Efficiency \u223c0.52\u20130.63 and 0.53). UpCH4 estimated annual global wetland CH4\u00a0emissions of 146\u00a0\u00b1\u00a043 TgCH4\u00a0y\u22121\u00a0for 2001\u20132018 which agrees closely with current bottom-up land surface models (102\u2013181 TgCH4\u00a0y\u22121) and overlaps with top-down atmospheric inversion models (155\u2013200 TgCH4\u00a0y\u22121). However, UpCH4 diverged from both types of models in the spatial pattern and seasonal dynamics of tropical wetland emissions. We conclude that upscaling of eddy covariance CH4\u00a0fluxes has the potential to produce realistic extra-tropical wetland CH4\u00a0emissions estimates which will improve with more flux data. To reduce uncertainty in upscaled estimates, researchers could prioritize new wetland flux sites along humid-to-arid tropical climate gradients, from major rainforest basins (Congo, Amazon, and SE Asia), into monsoon (Bangladesh and India) and savannah regions (African Sahel) and be paired with improved knowledge of wetland extent seasonal dynamics in these regions. The monthly wetland methane products gridded at 0.25\u00b0 from UpCH4 are available via ORNL DAAC (https://doi.org/10.3334/ORNLDAAC/2253).",
   "description": "e2023AV000956, 24 p.",
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