Benchmarking carbon fluxes of the ISIMIP2a biome models
The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome Productivity, NBP) over terrestrial ecosystems for the recent four decades (1971-2010). We evaluate modeled global NBP against 1) the updated global r...
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Published in: | Environmental research letters Vol. 12; no. 4; pp. 45002 - 45017 |
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Abstract | The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome Productivity, NBP) over terrestrial ecosystems for the recent four decades (1971-2010). We evaluate modeled global NBP against 1) the updated global residual land sink (RLS) plus land use emissions (ELUC) from the Global Carbon Project (GCP), presented as R + L in this study by Le Quéré et al (2015), and 2) the land CO2 fluxes from two atmospheric inversion systems: Jena CarboScope s81_v3.8 and CAMS v15r2, referred to as FJena and FCAMS respectively. The model ensemble-mean NBP (that includes seven models with land-use change) is higher than but within the uncertainty of R + L, while the simulated positive NBP trend over the last 30 yr is lower than that from R + L and from the two inversion systems. ISIMIP2a biome models well capture the interannual variation of global net terrestrial ecosystem carbon fluxes. Tropical NBP represents 31 ± 17% of global total NBP during the past decades, and the year-to-year variation of tropical NBP contributes most of the interannual variation of global NBP. According to the models, increasing Net Primary Productivity (NPP) was the main cause for the generally increasing NBP. Significant global NBP anomalies from the long-term mean between the two phases of El Niño Southern Oscillation (ENSO) events are simulated by all models (p < 0.05), which is consistent with the R + L estimate (p = 0.06), also mainly attributed to NPP anomalies, rather than to changes in heterotrophic respiration (Rh). The global NPP and NBP anomalies during ENSO events are dominated by their anomalies in tropical regions impacted by tropical climate variability. Multiple regressions between R + L, FJena and FCAMS interannual variations and tropical climate variations reveal a significant negative response of global net terrestrial ecosystem carbon fluxes to tropical mean annual temperature variation, and a non-significant response to tropical annual precipitation variation. According to the models, tropical precipitation is a more important driver, suggesting that some models do not capture the roles of precipitation and temperature changes adequately. |
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AbstractList | The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome Productivity, NBP) over terrestrial ecosystems for the recent four decades (1971-2010). We evaluate modeled global NBP against 1) the updated global residual land sink (RLS) plus land use emissions (ELUC) from the Global Carbon Project (GCP), presented as R + L in this study by Le Quéré et al (2015), and 2) the land CO2 fluxes from two atmospheric inversion systems: Jena CarboScope s81_v3.8 and CAMS v15r2, referred to as FJena and FCAMS respectively. The model ensemble-mean NBP (that includes seven models with land-use change) is higher than but within the uncertainty of R + L, while the simulated positive NBP trend over the last 30 yr is lower than that from R + L and from the two inversion systems. ISIMIP2a biome models well capture the interannual variation of global net terrestrial ecosystem carbon fluxes. Tropical NBP represents 31 ± 17% of global total NBP during the past decades, and the year-to-year variation of tropical NBP contributes most of the interannual variation of global NBP. According to the models, increasing Net Primary Productivity (NPP) was the main cause for the generally increasing NBP. Significant global NBP anomalies from the long-term mean between the two phases of El Niño Southern Oscillation (ENSO) events are simulated by all models (p < 0.05), which is consistent with the R + L estimate (p = 0.06), also mainly attributed to NPP anomalies, rather than to changes in heterotrophic respiration (Rh). The global NPP and NBP anomalies during ENSO events are dominated by their anomalies in tropical regions impacted by tropical climate variability. Multiple regressions between R + L, FJena and FCAMS interannual variations and tropical climate variations reveal a significant negative response of global net terrestrial ecosystem carbon fluxes to tropical mean annual temperature variation, and a non-significant response to tropical annual precipitation variation. According to the models, tropical precipitation is a more important driver, suggesting that some models do not capture the roles of precipitation and temperature changes adequately. The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome Productivity, NBP) over terrestrial ecosystems for the recent four decades (1971–2010). We evaluate modeled global NBP against 1) the updated global residual land sink (RLS) plus land use emissions (E LUC) from the Global Carbon Project (GCP), presented as R + L in this study by Le Quéré et al (2015), and 2) the land CO2 fluxes from two atmospheric inversion systems: Jena CarboScope s81_v3.8 and CAMS v15r2, referred to as F Jena and F CAMS respectively. The model ensemble-mean NBP (that includes seven models with land-use change) is higher than but within the uncertainty of R + L, while the simulated positive NBP trend over the last 30 yr is lower than that from R + L and from the two inversion systems. ISIMIP2a biome models well capture the interannual variation of global net terrestrial ecosystem carbon fluxes. Tropical NBP represents 31 ± 17% of global total NBP during the past decades, and the year-to-year variation of tropical NBP contributes most of the interannual variation of global NBP. According to the models, increasing Net Primary Productivity (NPP) was the main cause for the generally increasing NBP. Significant global NBP anomalies from the long-term mean between the two phases of El Niño Southern Oscillation (ENSO) events are simulated by all models (p < 0.05), which is consistent with the R + L estimate (p = 0.06), also mainly attributed to NPP anomalies, rather than to changes in heterotrophic respiration (Rh). The global NPP and NBP anomalies during ENSO events are dominated by their anomalies in tropical regions impacted by tropical climate variability. Multiple regressions between R + L, F Jena and F CAMS interannual variations and tropical climate variations reveal a significant negative response of global net terrestrial ecosystem carbon fluxes to tropical mean annual temperature variation, and a non-significant response to tropical annual precipitation variation. According to the models, tropical precipitation is a more important driver, suggesting that some models do not capture the roles of precipitation and temperature changes adequately. The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome Productivity, NBP) over terrestrial ecosystems for the recent four decades (1971–2010). We evaluate modeled global NBP against 1) the updated global residual land sink (RLS) plus land use emissions ( E _LUC ) from the Global Carbon Project (GCP), presented as R + L in this study by Le Quéré et al ( 2015 ), and 2) the land CO _2 fluxes from two atmospheric inversion systems: Jena CarboScope s81_v3.8 and CAMS v15r2, referred to as F _Jena and F _CAMS respectively. The model ensemble-mean NBP (that includes seven models with land-use change) is higher than but within the uncertainty of R + L, while the simulated positive NBP trend over the last 30 yr is lower than that from R + L and from the two inversion systems. ISIMIP2a biome models well capture the interannual variation of global net terrestrial ecosystem carbon fluxes. Tropical NBP represents 31 ± 17% of global total NBP during the past decades, and the year-to-year variation of tropical NBP contributes most of the interannual variation of global NBP. According to the models, increasing Net Primary Productivity (NPP) was the main cause for the generally increasing NBP. Significant global NBP anomalies from the long-term mean between the two phases of El Niño Southern Oscillation (ENSO) events are simulated by all models ( p < 0.05), which is consistent with the R + L estimate ( p = 0.06), also mainly attributed to NPP anomalies, rather than to changes in heterotrophic respiration (Rh). The global NPP and NBP anomalies during ENSO events are dominated by their anomalies in tropical regions impacted by tropical climate variability. Multiple regressions between R + L, F _Jena and F _CAMS interannual variations and tropical climate variations reveal a significant negative response of global net terrestrial ecosystem carbon fluxes to tropical mean annual temperature variation, and a non-significant response to tropical annual precipitation variation. According to the models, tropical precipitation is a more important driver, suggesting that some models do not capture the roles of precipitation and temperature changes adequately. The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome Productivity, NBP) over terrestrial ecosystems for the recent four decades (1971–2010). Here, we evaluate modeled global NBP against 1) the updated global residual land sink (RLS) plus land use emissions (ELUC) from the Global Carbon Project (GCP), presented as R + L in this study by Le Quéré et al (2015), and 2) the land CO2 fluxes from two atmospheric inversion systems: Jena CarboScope s81_v3.8 and CAMS v15r2, referred to as FJena and FCAMS respectively. The model ensemble-mean NBP (that includes seven models with land-use change) is higher than but within the uncertainty of R + L, while the simulated positive NBP trend over the last 30 yr is lower than that from R + L and from the two inversion systems. ISIMIP2a biome models well capture the interannual variation of global net terrestrial ecosystem carbon fluxes. Tropical NBP represents 31 ± 17% of global total NBP during the past decades, and the year-to-year variation of tropical NBP contributes most of the interannual variation of global NBP. According to the models, increasing Net Primary Productivity (NPP) was the main cause for the generally increasing NBP. Significant global NBP anomalies from the long-term mean between the two phases of El Niño Southern Oscillation (ENSO) events are simulated by all models (p < 0.05), which is consistent with the R + L estimate (p = 0.06), also mainly attributed to NPP anomalies, rather than to changes in heterotrophic respiration (Rh). The global NPP and NBP anomalies during ENSO events are dominated by their anomalies in tropical regions impacted by tropical climate variability. Multiple regressions between R + L, FJena and FCAMS interannual variations and tropical climate variations reveal a significant negative response of global net terrestrial ecosystem carbon fluxes to tropical mean annual temperature variation, and a non-significant response to tropical annual precipitation variation. According to the models, tropical precipitation is a more important driver, suggesting that some models do not capture the roles of precipitation and temperature changes adequately. |
Author | Wang, Xuhui Ito, Akihiko Chevallier, Frédéric Frieler, Katja Tian, Hanqin Schaphoff, Sibyll Betts, Richard Asrar, Ghassem Hickler, Thomas Morfopoulos, Catherine Munhoven, Guy Chang, Jinfeng Ciais, Philippe Rödenbeck, Christian Ros, Anselmo García Cantú Steinkamp, Jörg Ostberg, Sebastian Dury, Marie Pan, Shufen Reyer, Christopher Yang, Jia François, Louis Viovy, Nicolas Nishina, Kazuya Peng, Shushi Rafique, Rashid Zhao, Fang Piao, Shilong Zeng, Ning Henrot, Alexandra-Jane |
Author_xml | – sequence: 1 givenname: Jinfeng surname: Chang fullname: Chang, Jinfeng email: jinfeng.chang@locean-ipsl.upmc.fr organization: Author to whom any correspondence should be addressed – sequence: 2 givenname: Philippe surname: Ciais fullname: Ciais, Philippe organization: Laboratoire des Sciences du Climat et de l'Environnement , UMR8212, CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France – sequence: 3 givenname: Xuhui surname: Wang fullname: Wang, Xuhui organization: Sino-French Institute of Earth System Sciences College of Urban and Environmental Sciences, Peking University , 100871 Beijing People's Republic of China – sequence: 4 givenname: Shilong surname: Piao fullname: Piao, Shilong organization: Sino-French Institute of Earth System Sciences College of Urban and Environmental Sciences, Peking University , 100871 Beijing People's Republic of China – sequence: 5 givenname: Ghassem surname: Asrar fullname: Asrar, Ghassem organization: Joint Global Change Research Institute Pacific Northwest National Laboratory , College Park, Maryland, United States of America – sequence: 6 givenname: Richard surname: Betts fullname: Betts, Richard organization: College of Life and Environmental Sciences University of Exeter , Exeter EX4 4QE, United Kingdom – sequence: 7 givenname: Frédéric surname: Chevallier fullname: Chevallier, Frédéric organization: Laboratoire des Sciences du Climat et de l'Environnement , UMR8212, CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France – sequence: 8 givenname: Marie surname: Dury fullname: Dury, Marie organization: Unité de Modélisation du climat et des Cycles Biogéochimiques UR SPHERES, Université de Liège, Quartier Agora , Allée du Six Août 19 C, B-4000 Liège, Belgium – sequence: 9 givenname: Louis surname: François fullname: François, Louis organization: Unité de Modélisation du climat et des Cycles Biogéochimiques UR SPHERES, Université de Liège, Quartier Agora , Allée du Six Août 19 C, B-4000 Liège, Belgium – sequence: 10 givenname: Katja surname: Frieler fullname: Frieler, Katja organization: Potsdam Institute for Climate Impact Research , D-14412 Potsdam, Germany – sequence: 11 givenname: Anselmo García Cantú surname: Ros fullname: Ros, Anselmo García Cantú organization: Potsdam Institute for Climate Impact Research , D-14412 Potsdam, Germany – sequence: 12 givenname: Alexandra-Jane surname: Henrot fullname: Henrot, Alexandra-Jane organization: Unité de Modélisation du climat et des Cycles Biogéochimiques UR SPHERES, Université de Liège, Quartier Agora , Allée du Six Août 19 C, B-4000 Liège, Belgium – sequence: 13 givenname: Thomas surname: Hickler fullname: Hickler, Thomas organization: Department of Physical Geography Goethe-University , Frankfurt am Main, Germany – sequence: 14 givenname: Akihiko surname: Ito fullname: Ito, Akihiko organization: National Institute for Environmental Studies , Tsukuba, Ibaraki 305-8506, Japan – sequence: 15 givenname: Catherine surname: Morfopoulos fullname: Morfopoulos, Catherine organization: College of Life and Environmental Sciences University of Exeter , Exeter EX4 4QE, United Kingdom – sequence: 16 givenname: Guy surname: Munhoven fullname: Munhoven, Guy organization: Laboratoire de Physique Atmosphérique et Planétaire UR SPHERES, Université de Liège, Quartier Agora , Allée du Six Août 19 C, B-4000 Liège, Belgium – sequence: 17 givenname: Kazuya surname: Nishina fullname: Nishina, Kazuya organization: National Institute for Environmental Studies , Tsukuba, Ibaraki 305-8506, Japan – sequence: 18 givenname: Sebastian surname: Ostberg fullname: Ostberg, Sebastian organization: Humboldt-Universität zu Berlin Geography Department, D-10099 Berlin, Germany – sequence: 19 givenname: Shufen surname: Pan fullname: Pan, Shufen organization: International Center for Climate and Global Change Research School of Forestry and Wildlife Sciences, Auburn University , Auburn, AL, United States of America – sequence: 20 givenname: Shushi surname: Peng fullname: Peng, Shushi organization: Sino-French Institute of Earth System Sciences College of Urban and Environmental Sciences, Peking University , 100871 Beijing People's Republic of China – sequence: 21 givenname: Rashid surname: Rafique fullname: Rafique, Rashid organization: Joint Global Change Research Institute Pacific Northwest National Laboratory , College Park, Maryland, United States of America – sequence: 22 givenname: Christopher surname: Reyer fullname: Reyer, Christopher organization: Potsdam Institute for Climate Impact Research , D-14412 Potsdam, Germany – sequence: 23 givenname: Christian surname: Rödenbeck fullname: Rödenbeck, Christian organization: Max Planck Institute for Biogeochemistry , Postfach 10 01 64, D-07701 Jena, Germany – sequence: 24 givenname: Sibyll surname: Schaphoff fullname: Schaphoff, Sibyll organization: Potsdam Institute for Climate Impact Research , D-14412 Potsdam, Germany – sequence: 25 givenname: Jörg surname: Steinkamp fullname: Steinkamp, Jörg organization: Senckenberg Biodiversity and Climate Research Centre (BiK-F) , Frankfurt am Main, Germany – sequence: 26 givenname: Hanqin surname: Tian fullname: Tian, Hanqin organization: International Center for Climate and Global Change Research School of Forestry and Wildlife Sciences, Auburn University , Auburn, AL, United States of America – sequence: 27 givenname: Nicolas surname: Viovy fullname: Viovy, Nicolas organization: Laboratoire des Sciences du Climat et de l'Environnement , UMR8212, CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France – sequence: 28 givenname: Jia surname: Yang fullname: Yang, Jia organization: International Center for Climate and Global Change Research School of Forestry and Wildlife Sciences, Auburn University , Auburn, AL, United States of America – sequence: 29 givenname: Ning surname: Zeng fullname: Zeng, Ning organization: Department of Atmospheric and Oceanic Sciences University of Maryland , College Park, Maryland, United States of America – sequence: 30 givenname: Fang surname: Zhao fullname: Zhao, Fang organization: Potsdam Institute for Climate Impact Research , D-14412 Potsdam, Germany |
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Cites_doi | 10.1175/BAMS-D-13-00117.1 10.1038/nature12291 10.1029/2005JD006390 10.1890/ehs14-0015.1 10.1038/nature12350 10.5194/gmd-7-2875-2014 10.1111/gcb.12916 10.1007/s00484-001-0109-8 10.1038/nclimate3063 10.1029/2004GB002273 10.1111/gcb.12187 10.1007/s00468-002-0209-z 10.1038/ngeo1830 10.5194/bg-12-653-2015 10.1038/nature12957 10.5194/essd-9-181-2017 10.1175/jhm-d-10-05034.1 10.1029/2004GB002439 10.1029/2006GB002888 10.1038/nclimate2879 10.1073/pnas.1219683110 10.1046/j.1354-1013.2002.00486.x 10.5194/bg-11-2027-2014 10.3402/tellusb.v66.23188 10.5194/gmd-4-701-2011 10.3832/ifor0572-004 10.5194/essd-7-349-2015 10.1046/j.1365-2486.2001.00383.x 10.1111/j.1365-2486.2006.01305.x 10.1038/nature03972 10.1088/1748-9326/9/3/035001 10.1029/1998RG000054 10.1111/j.1365-2486.2008.01626.x 10.5194/gmd-6-2121-2013 10.1038/nature13376 10.1016/j.foreco.2009.09.001 10.1038/24139 10.1073/pnas.1519620113 10.1007/s40725-015-0014-8 10.5194/bg-11-2909-2014 10.5194/gmd-6-783-2013 10.1029/2007JG000632 10.1038/nclimate3004 10.1126/science.1090753 10.1038/386698a0 10.1029/2003GB002199 10.1111/j.1600-0889.2010.00481.x 10.1038/ngeo671 10.1023/A:1005541132734 10.5194/gmd-4-677-2011 10.1029/1998gl900269 10.1029/2010JD013887 10.1071/PP9920519 10.1029/94gb00850 10.1175/JCLI3800.1 10.1038/nature11882 10.1007/s10584-011-0155-0 10.1002/joc.2336 10.1007/bf00386231 10.1080/01431160500168686 10.5194/acp-3-1919-2003 10.1029/1999GB900014 10.1038/nature12915 10.1111/j.1469-8137.2010.03359.x 10.1007/s10584-014-1072-9 10.1002/joc.1181 10.5194/acp-6-149-2006 10.1038/nature01131 10.1126/science.333.6045.918-j 10.1126/science.aaa1668 |
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CorporateAuthor | Pacific Northwest National Lab. (PNNL), Richland, WA (United States) |
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Notes | ERL-103120.R1 scopus-id:2-s2.0-85018485459 National Aeronautics and Space Administration (NASA) USDOE PNNL-SA-125310 National Science Foundation (NSF) AC05-76RL01830; NNX14AO73G; NNX14AF93G |
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References | 44 45 46 47 48 49 Huntzinger D (28) 2013 50 51 52 53 10 Mao J (40) 2015; 10 54 11 55 12 56 13 57 14 Lamarque J-F (35) 2013 58 59 16 17 19 1 2 3 4 5 6 7 Dawson A (18) 2000; 85 Tribuzy E S (62) 2005 8 9 60 61 63 20 64 21 65 22 66 23 24 68 25 69 26 27 29 Keeling C D (31) 2005 Viovy N (67) 2014 70 71 72 73 Collatz G J (15) 1992; 19 30 74 75 Zscheischler J (76) 2014; 9 32 33 77 34 36 37 38 39 41 42 43 |
References_xml | – ident: 8 doi: 10.1175/BAMS-D-13-00117.1 – ident: 32 doi: 10.1038/nature12291 – volume: 85 start-page: 193 year: 2000 ident: 18 publication-title: Geogr. J. Geogr. Assoc. contributor: fullname: Dawson A – ident: 11 doi: 10.1029/2005JD006390 – ident: 61 doi: 10.1890/ehs14-0015.1 – year: 2013 ident: 28 publication-title: AGU Fall Meeting Abstracts contributor: fullname: Huntzinger D – ident: 50 doi: 10.1038/nature12350 – ident: 71 doi: 10.5194/gmd-7-2875-2014 – ident: 22 doi: 10.1111/gcb.12916 – ident: 64 doi: 10.1007/s00484-001-0109-8 – ident: 6 doi: 10.1038/nclimate3063 – ident: 74 doi: 10.1029/2004GB002273 – ident: 47 doi: 10.1111/gcb.12187 – ident: 33 doi: 10.1007/s00468-002-0209-z – ident: 49 doi: 10.1038/ngeo1830 – ident: 55 doi: 10.5194/bg-12-653-2015 – ident: 24 doi: 10.1038/nature12957 – ident: 39 doi: 10.5194/essd-9-181-2017 – ident: 30 doi: 10.1175/jhm-d-10-05034.1 – ident: 4 doi: 10.1029/2004GB002439 – year: 2014 ident: 67 contributor: fullname: Viovy N – ident: 46 doi: 10.1029/2006GB002888 – ident: 58 doi: 10.1038/nclimate2879 – ident: 68 doi: 10.1073/pnas.1219683110 – ident: 25 doi: 10.1046/j.1354-1013.2002.00486.x – ident: 57 doi: 10.5194/bg-11-2027-2014 – ident: 59 doi: 10.3402/tellusb.v66.23188 – ident: 13 doi: 10.5194/gmd-4-701-2011 – ident: 20 doi: 10.3832/ifor0572-004 – ident: 37 doi: 10.5194/essd-7-349-2015 – ident: 17 doi: 10.1046/j.1365-2486.2001.00383.x – ident: 7 doi: 10.1111/j.1365-2486.2006.01305.x – ident: 12 doi: 10.1038/nature03972 – volume: 9 issn: 1748-9326 year: 2014 ident: 76 publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/9/3/035001 contributor: fullname: Zscheischler J – ident: 51 doi: 10.1029/1998RG000054 – ident: 56 doi: 10.1111/j.1365-2486.2008.01626.x – ident: 29 doi: 10.5194/gmd-6-2121-2013 – ident: 48 doi: 10.1038/nature13376 – ident: 3 doi: 10.1016/j.foreco.2009.09.001 – ident: 38 doi: 10.1038/24139 – ident: 72 doi: 10.1073/pnas.1519620113 – ident: 27 doi: 10.1007/s40725-015-0014-8 – ident: 77 doi: 10.5194/bg-11-2909-2014 – ident: 9 doi: 10.5194/gmd-6-783-2013 – ident: 19 doi: 10.1029/2007JG000632 – ident: 75 doi: 10.1038/nclimate3004 – ident: 66 doi: 10.1126/science.1090753 – ident: 42 doi: 10.1038/386698a0 – volume: 10 issn: 1748-9326 year: 2015 ident: 40 publication-title: Environ. Res. Lett. contributor: fullname: Mao J – ident: 34 doi: 10.1029/2003GB002199 – ident: 2 doi: 10.1111/j.1600-0889.2010.00481.x – ident: 65 doi: 10.1038/ngeo671 – ident: 54 doi: 10.1023/A:1005541132734 – ident: 5 doi: 10.5194/gmd-4-677-2011 – ident: 26 doi: 10.1029/1998gl900269 – ident: 10 doi: 10.1029/2010JD013887 – volume: 19 start-page: 519 year: 1992 ident: 15 publication-title: Funct. Plant Biol. doi: 10.1071/PP9920519 contributor: fullname: Collatz G J – ident: 70 doi: 10.1029/94gb00850 – ident: 23 doi: 10.1175/JCLI3800.1 – ident: 16 doi: 10.1038/nature11882 – ident: 36 doi: 10.1007/s10584-011-0155-0 – ident: 73 doi: 10.1002/joc.2336 – ident: 21 doi: 10.1007/bf00386231 – year: 2005 ident: 31 publication-title: Trends: A Compendium of Data on Global Change contributor: fullname: Keeling C D – ident: 63 doi: 10.1080/01431160500168686 – ident: 53 doi: 10.5194/acp-3-1919-2003 – year: 2005 ident: 62 contributor: fullname: Tribuzy E S – ident: 14 doi: 10.1029/1999GB900014 – ident: 69 doi: 10.1038/nature12915 – ident: 45 doi: 10.1111/j.1469-8137.2010.03359.x – ident: 60 doi: 10.1007/s10584-014-1072-9 – ident: 41 doi: 10.1002/joc.1181 – ident: 52 doi: 10.5194/acp-6-149-2006 – ident: 43 doi: 10.1038/nature01131 – year: 2013 ident: 35 contributor: fullname: Lamarque J-F – ident: 44 doi: 10.1126/science.333.6045.918-j – ident: 1 doi: 10.1126/science.aaa1668 |
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Snippet | The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome... |
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SubjectTerms | Annual precipitation Annual variations Anomalies Atmospheric models Biome Carbon Carbon dioxide carbon fluxes Climate climate change Climate variability Earth sciences & physical geography El Nino ENSO ENVIRONMENTAL SCIENCES Fluxes Geophysics interannual variability Inversion ISIMIP2a Land use model evaluation Net Biome Productivity Net Primary Productivity Physical, chemical, mathematical & earth Sciences Physics Physique, chimie, mathématiques & sciences de la terre Precipitation Sciences de la terre & géographie physique sensitivity Southern Oscillation Terrestrial ecosystems Terrestrial environments Tropical environment Tropical environments Variation |
Title | Benchmarking carbon fluxes of the ISIMIP2a biome models |
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