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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006629naa a2200781 4500
001oai:lup.lub.lu.se:82fef8d4-e649-4b5e-af07-32284c36e6eb
003SwePub
008230529s2023 | |||||||||||000 ||eng|
0247 a https://lup.lub.lu.se/record/82fef8d4-e649-4b5e-af07-32284c36e6eb2 URI
0247 a https://doi.org/10.1111/gcb.167552 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Chang, Kuang Yuu Lawrence Berkeley National Laboratory4 aut
2451 0a Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates
264 1c 2023
300 a 15 s.
520 a The recent rise in atmospheric methane (CH4) concentrations accelerates climate change and offsets mitigation efforts. Although wetlands are the largest natural CH4 source, estimates of global wetland CH4 emissions vary widely among approaches taken by bottom-up (BU) process-based biogeochemical models and top-down (TD) atmospheric inversion methods. Here, we integrate in situ measurements, multi-model ensembles, and a machine learning upscaling product into the International Land Model Benchmarking system to examine the relationship between wetland CH4 emission estimates and model performance. We find that using better-performing models identified by observational constraints reduces the spread of wetland CH4 emission estimates by 62% and 39% for BU- and TD-based approaches, respectively. However, global BU and TD CH4 emission estimate discrepancies increased by about 15% (from 31 to 36 TgCH4 year−1) when the top 20% models were used, although we consider this result moderately uncertain given the unevenly distributed global observations. Our analyses demonstrate that model performance ranking is subject to benchmark selection due to large inter-site variability, highlighting the importance of expanding coverage of benchmark sites to diverse environmental conditions. We encourage future development of wetland CH4 models to move beyond static benchmarking and focus on evaluating site-specific and ecosystem-specific variabilities inferred from observations.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Klimatforskning0 (SwePub)105012 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Climate Research0 (SwePub)105012 hsv//eng
653 a benchmarking
653 a bottom-up models
653 a eddy covariance
653 a methane emissions
653 a observational constraints
653 a top-down models
653 a wetland modeling
7001 a Riley, William J.u Lawrence Berkeley National Laboratory4 aut
7001 a Collier, Nathanu Oak Ridge National Laboratory4 aut
7001 a McNicol, Gavinu University of Illinois at Chicago4 aut
7001 a Fluet-Chouinard, Etienneu ETH Zürich4 aut
7001 a Knox, Sara H.u University of British Columbia4 aut
7001 a Delwiche, Kyle B.u University of California, Berkeley4 aut
7001 a Jackson, Robert B.u Stanford University4 aut
7001 a Poulter, Benjaminu NASA Goddard Space Flight Center4 aut
7001 a Saunois, Marielleu Versailles Saint-Quentin-en-Yvelines University4 aut
7001 a Chandra, Naveenu Japan Agency for Marine-Earth Science and Technology4 aut
7001 a Gedney, Nicolau Met Office4 aut
7001 a Ishizawa, Misau Environment Canada4 aut
7001 a Ito, Akihikou National Institute for Environmental Studies of Japan4 aut
7001 a Joos, Fortunatu University of Bern4 aut
7001 a Kleinen, Thomasu Max Planck Institute for Meteorology4 aut
7001 a Maggi, Federicou University of Sydney4 aut
7001 a McNorton, Joeu European Centre for Medium-range Weather Forecasts4 aut
7001 a Melton, Joe R.u Environment Canada4 aut
7001 a Miller, Paulu Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,MERGE: ModElling the Regional and Global Earth system,Institutionen för naturgeografi och ekosystemvetenskap,LTH profilområde: Aerosoler,LTH profilområden,Lunds Tekniska Högskola,LU profilområde: Naturbaserade framtidslösningar,Lunds universitets profilområden,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science,LTH Profile Area: Aerosols,LTH Profile areas,Faculty of Engineering, LTH,LU Profile Area: Nature-based future solutions,Lund University Profile areas4 aut0 (Swepub:lu)nate-pum
7001 a Niwa, Yosukeu National Institute for Environmental Studies of Japan,Meteorological Research Institute (MRI), Japan4 aut
7001 a Pasut, Chiarau University of Sydney,CSIRO Agriculture & Food4 aut
7001 a Patra, Prabir K.u Chiba University,Japan Agency for Marine-Earth Science and Technology4 aut
7001 a Peng, Changhuiu Hunan Normal University,University Of Quebec In Montreal4 aut
7001 a Peng, Sushiu Peking University4 aut
7001 a Segers, Arjou Netherlands Organisation for Applied Scientific Research (Utrecht)4 aut
7001 a Tian, Hanqinu Boston College4 aut
7001 a Tsuruta, Akiu Finnish Meteorological Institute4 aut
7001 a Yao, Yuanzhiu East China Normal University4 aut
7001 a Yin, Yiu California Institute of Technology4 aut
7001 a Zhang, Wenxinu Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,MERGE: ModElling the Regional and Global Earth system,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science4 aut0 (Swepub:lu)we4544zh
7001 a Zhang, Zhenu University of the Chinese Academy of Sciences,University of Maryland4 aut
7001 a Zhu, Qingu Lawrence Berkeley National Laboratory4 aut
7001 a Zhu, Qiuanu Hohai University4 aut
7001 a Zhuang, Qianlaiu Purdue University4 aut
7102 a Lawrence Berkeley National Laboratoryb Oak Ridge National Laboratory4 org
7730 t Global Change Biologyg 29:15, s. 4298-4312q 29:15<4298-4312x 1354-1013
8564 u http://dx.doi.org/10.1111/gcb.16755y FULLTEXT
8564 8u https://lup.lub.lu.se/record/82fef8d4-e649-4b5e-af07-32284c36e6eb
8564 8u https://doi.org/10.1111/gcb.16755

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