Do State‐Of‐The‐Art Atmospheric CO$_{\textrm{2}}$ Inverse Models Capture Drought Impacts on the European Land Carbon Uptake?. He, W., Jiang, F., Ju, W., Byrne, B., Xiao, J., Nguyen, N. T., Wu, M., Wang, S., Wang, J., Rödenbeck, C., Li, X., Scholze, M., Monteil, G., Wang, H., Zhou, Y., He, Q., & Chen, J. M. Journal of Advances in Modeling Earth Systems, 15(6):e2022MS003150, June, 2023. ![Do State‐Of‐The‐Art Atmospheric CO$_{\textrm{2}}$ Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Abstract The European land carbon uptake has been heavily impacted by several recent severe droughts, yet quantitative estimates of carbon uptake anomalies are uncertain. Atmospheric CO 2 inverse models (AIMs) provide observation‐based estimates of the large‐scale carbon flux dynamics, but how well they capture drought impacts on the terrestrial carbon uptake is poorly known. Here we assessed the capacity of state‐of‐the‐art AIMs in monitoring drought impacts on the European carbon uptake over 2001–2015 using observations of environmental variability and vegetation function and made comparisons with bottom‐up estimates of carbon uptake anomalies. We found that global inversions with only limited surface CO 2 observations give divergent estimates of drought impacts. Regional inversions assimilating denser CO 2 observations over Europe demonstrated some improved consistency, with all inversions capturing a reduction in carbon uptake during the 2012 drought. However, they failed to capture the reduction caused by the 2015 drought. Finally, we found that a set of inversions that assimilated satellite XCO 2 or assimilated environmental variables plus surface CO 2 observations better captured carbon uptake anomalies induced by both the 2012 and 2015 droughts. In addition, the recent Orbiting Carbon Observatory—2 XCO 2 inversions showed good potential in capturing drought impacts, with better performances for larger‐scale droughts like the 2018 drought. These results suggest that surface CO 2 observations may still be too sparse to fully capture the impact of drought on the carbon cycle at subcontinental scales over Europe, and satellite XCO 2 and ancillary environmental data can be used to improve observational constraints in atmospheric inversion systems. , Plain Language Summary Atmospheric CO 2 inverse models (AIMs) are useful tools for quantifying the response of large‐scale carbon uptake to climate extremes, but their capacity for monitoring drought impacts, particularly at regional scales, is not fully explored. In this study, we assessed the capacity of state‐of‐the‐art AIMs for monitoring drought impacts on the European land carbon uptake over 2001–2015 using a large array of observational and model data sets. We found: (a) global inversions with only limited surface CO 2 observations face a great challenge in monitoring drought impacts on the European carbon uptake; (b) Regional inversions assimilated denser CO 2 observations over Europe, for the EUROCOM project, demonstrated some improved consistency but are still deficient, showing divergent estimates in interannual variability of carbon uptake for most years; and (c) A set of inversion systems that assimilated satellite XCO 2 or assimilated environmental variables plus surface CO 2 observations better captured annual and seasonal anomalies caused by droughts. Our study demonstrates that surface CO 2 observations may still be too sparse to fully capture the impact of drought on the carbon cycle at subcontinental scales over Europe, whereby satellite XCO 2 and ancillary environmental data can offer observational constraints for improving the estimates. , Key Points Global inversions with only limited surface CO 2 observations give divergent estimates of drought impacts on the European carbon uptake Regional inversions assimilating denser CO 2 observations over Europe demonstrate some improved consistency but are still deficient The inversions assimilating satellite XCO 2 or environmental variables in addition to surface CO 2 largely improve the estimates
@article{he_stateart_2023,
title = {Do {State}‐{Of}‐{The}‐{Art} {Atmospheric} {CO}$_{\textrm{2}}$ {Inverse} {Models} {Capture} {Drought} {Impacts} on the {European} {Land} {Carbon} {Uptake}?},
volume = {15},
issn = {1942-2466, 1942-2466},
url = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022MS003150},
doi = {10.1029/2022MS003150},
abstract = {Abstract
The European land carbon uptake has been heavily impacted by several recent severe droughts, yet quantitative estimates of carbon uptake anomalies are uncertain. Atmospheric CO
2
inverse models (AIMs) provide observation‐based estimates of the large‐scale carbon flux dynamics, but how well they capture drought impacts on the terrestrial carbon uptake is poorly known. Here we assessed the capacity of state‐of‐the‐art AIMs in monitoring drought impacts on the European carbon uptake over 2001–2015 using observations of environmental variability and vegetation function and made comparisons with bottom‐up estimates of carbon uptake anomalies. We found that global inversions with only limited surface CO
2
observations give divergent estimates of drought impacts. Regional inversions assimilating denser CO
2
observations over Europe demonstrated some improved consistency, with all inversions capturing a reduction in carbon uptake during the 2012 drought. However, they failed to capture the reduction caused by the 2015 drought. Finally, we found that a set of inversions that assimilated satellite XCO
2
or assimilated environmental variables plus surface CO
2
observations better captured carbon uptake anomalies induced by both the 2012 and 2015 droughts. In addition, the recent Orbiting Carbon Observatory—2 XCO
2
inversions showed good potential in capturing drought impacts, with better performances for larger‐scale droughts like the 2018 drought. These results suggest that surface CO
2
observations may still be too sparse to fully capture the impact of drought on the carbon cycle at subcontinental scales over Europe, and satellite XCO
2
and ancillary environmental data can be used to improve observational constraints in atmospheric inversion systems.
,
Plain Language Summary
Atmospheric CO
2
inverse models (AIMs) are useful tools for quantifying the response of large‐scale carbon uptake to climate extremes, but their capacity for monitoring drought impacts, particularly at regional scales, is not fully explored. In this study, we assessed the capacity of state‐of‐the‐art AIMs for monitoring drought impacts on the European land carbon uptake over 2001–2015 using a large array of observational and model data sets. We found: (a) global inversions with only limited surface CO
2
observations face a great challenge in monitoring drought impacts on the European carbon uptake; (b) Regional inversions assimilated denser CO
2
observations over Europe, for the EUROCOM project, demonstrated some improved consistency but are still deficient, showing divergent estimates in interannual variability of carbon uptake for most years; and (c) A set of inversion systems that assimilated satellite XCO
2
or assimilated environmental variables plus surface CO
2
observations better captured annual and seasonal anomalies caused by droughts. Our study demonstrates that surface CO
2
observations may still be too sparse to fully capture the impact of drought on the carbon cycle at subcontinental scales over Europe, whereby satellite XCO
2
and ancillary environmental data can offer observational constraints for improving the estimates.
,
Key Points
Global inversions with only limited surface CO
2
observations give divergent estimates of drought impacts on the European carbon uptake
Regional inversions assimilating denser CO
2
observations over Europe demonstrate some improved consistency but are still deficient
The inversions assimilating satellite XCO
2
or environmental variables in addition to surface CO
2
largely improve the estimates},
language = {en},
number = {6},
urldate = {2024-11-15},
journal = {Journal of Advances in Modeling Earth Systems},
author = {He, Wei and Jiang, Fei and Ju, Weimin and Byrne, Brendan and Xiao, Jingfeng and Nguyen, Ngoc Tu and Wu, Mousong and Wang, Songhan and Wang, Jun and Rödenbeck, Christian and Li, Xing and Scholze, Marko and Monteil, Guillaume and Wang, Hengmao and Zhou, Yanlian and He, Qiaoning and Chen, Jing M.},
month = jun,
year = {2023},
pages = {e2022MS003150},
}
Downloads: 0
{"_id":"MKxe5h2bw9XYRPaGG","bibbaseid":"he-jiang-ju-byrne-xiao-nguyen-wu-wang-etal-dostateoftheartatmosphericcotextrm2inversemodelscapturedroughtimpactsontheeuropeanlandcarbonuptake-2023","author_short":["He, W.","Jiang, F.","Ju, W.","Byrne, B.","Xiao, J.","Nguyen, N. T.","Wu, M.","Wang, S.","Wang, J.","Rödenbeck, C.","Li, X.","Scholze, M.","Monteil, G.","Wang, H.","Zhou, Y.","He, Q.","Chen, J. M."],"bibdata":{"bibtype":"article","type":"article","title":"Do State‐Of‐The‐Art Atmospheric CO$_{\\textrm{2}}$ Inverse Models Capture Drought Impacts on the European Land Carbon Uptake?","volume":"15","issn":"1942-2466, 1942-2466","url":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022MS003150","doi":"10.1029/2022MS003150","abstract":"Abstract The European land carbon uptake has been heavily impacted by several recent severe droughts, yet quantitative estimates of carbon uptake anomalies are uncertain. Atmospheric CO 2 inverse models (AIMs) provide observation‐based estimates of the large‐scale carbon flux dynamics, but how well they capture drought impacts on the terrestrial carbon uptake is poorly known. Here we assessed the capacity of state‐of‐the‐art AIMs in monitoring drought impacts on the European carbon uptake over 2001–2015 using observations of environmental variability and vegetation function and made comparisons with bottom‐up estimates of carbon uptake anomalies. We found that global inversions with only limited surface CO 2 observations give divergent estimates of drought impacts. Regional inversions assimilating denser CO 2 observations over Europe demonstrated some improved consistency, with all inversions capturing a reduction in carbon uptake during the 2012 drought. However, they failed to capture the reduction caused by the 2015 drought. Finally, we found that a set of inversions that assimilated satellite XCO 2 or assimilated environmental variables plus surface CO 2 observations better captured carbon uptake anomalies induced by both the 2012 and 2015 droughts. In addition, the recent Orbiting Carbon Observatory—2 XCO 2 inversions showed good potential in capturing drought impacts, with better performances for larger‐scale droughts like the 2018 drought. These results suggest that surface CO 2 observations may still be too sparse to fully capture the impact of drought on the carbon cycle at subcontinental scales over Europe, and satellite XCO 2 and ancillary environmental data can be used to improve observational constraints in atmospheric inversion systems. , Plain Language Summary Atmospheric CO 2 inverse models (AIMs) are useful tools for quantifying the response of large‐scale carbon uptake to climate extremes, but their capacity for monitoring drought impacts, particularly at regional scales, is not fully explored. In this study, we assessed the capacity of state‐of‐the‐art AIMs for monitoring drought impacts on the European land carbon uptake over 2001–2015 using a large array of observational and model data sets. We found: (a) global inversions with only limited surface CO 2 observations face a great challenge in monitoring drought impacts on the European carbon uptake; (b) Regional inversions assimilated denser CO 2 observations over Europe, for the EUROCOM project, demonstrated some improved consistency but are still deficient, showing divergent estimates in interannual variability of carbon uptake for most years; and (c) A set of inversion systems that assimilated satellite XCO 2 or assimilated environmental variables plus surface CO 2 observations better captured annual and seasonal anomalies caused by droughts. Our study demonstrates that surface CO 2 observations may still be too sparse to fully capture the impact of drought on the carbon cycle at subcontinental scales over Europe, whereby satellite XCO 2 and ancillary environmental data can offer observational constraints for improving the estimates. , Key Points Global inversions with only limited surface CO 2 observations give divergent estimates of drought impacts on the European carbon uptake Regional inversions assimilating denser CO 2 observations over Europe demonstrate some improved consistency but are still deficient The inversions assimilating satellite XCO 2 or environmental variables in addition to surface CO 2 largely improve the estimates","language":"en","number":"6","urldate":"2024-11-15","journal":"Journal of Advances in Modeling Earth Systems","author":[{"propositions":[],"lastnames":["He"],"firstnames":["Wei"],"suffixes":[]},{"propositions":[],"lastnames":["Jiang"],"firstnames":["Fei"],"suffixes":[]},{"propositions":[],"lastnames":["Ju"],"firstnames":["Weimin"],"suffixes":[]},{"propositions":[],"lastnames":["Byrne"],"firstnames":["Brendan"],"suffixes":[]},{"propositions":[],"lastnames":["Xiao"],"firstnames":["Jingfeng"],"suffixes":[]},{"propositions":[],"lastnames":["Nguyen"],"firstnames":["Ngoc","Tu"],"suffixes":[]},{"propositions":[],"lastnames":["Wu"],"firstnames":["Mousong"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Songhan"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Jun"],"suffixes":[]},{"propositions":[],"lastnames":["Rödenbeck"],"firstnames":["Christian"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["Xing"],"suffixes":[]},{"propositions":[],"lastnames":["Scholze"],"firstnames":["Marko"],"suffixes":[]},{"propositions":[],"lastnames":["Monteil"],"firstnames":["Guillaume"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Hengmao"],"suffixes":[]},{"propositions":[],"lastnames":["Zhou"],"firstnames":["Yanlian"],"suffixes":[]},{"propositions":[],"lastnames":["He"],"firstnames":["Qiaoning"],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["Jing","M."],"suffixes":[]}],"month":"June","year":"2023","pages":"e2022MS003150","bibtex":"@article{he_stateart_2023,\n\ttitle = {Do {State}‐{Of}‐{The}‐{Art} {Atmospheric} {CO}$_{\\textrm{2}}$ {Inverse} {Models} {Capture} {Drought} {Impacts} on the {European} {Land} {Carbon} {Uptake}?},\n\tvolume = {15},\n\tissn = {1942-2466, 1942-2466},\n\turl = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022MS003150},\n\tdoi = {10.1029/2022MS003150},\n\tabstract = {Abstract\n \n The European land carbon uptake has been heavily impacted by several recent severe droughts, yet quantitative estimates of carbon uptake anomalies are uncertain. Atmospheric CO\n 2\n inverse models (AIMs) provide observation‐based estimates of the large‐scale carbon flux dynamics, but how well they capture drought impacts on the terrestrial carbon uptake is poorly known. Here we assessed the capacity of state‐of‐the‐art AIMs in monitoring drought impacts on the European carbon uptake over 2001–2015 using observations of environmental variability and vegetation function and made comparisons with bottom‐up estimates of carbon uptake anomalies. We found that global inversions with only limited surface CO\n 2\n observations give divergent estimates of drought impacts. Regional inversions assimilating denser CO\n 2\n observations over Europe demonstrated some improved consistency, with all inversions capturing a reduction in carbon uptake during the 2012 drought. However, they failed to capture the reduction caused by the 2015 drought. Finally, we found that a set of inversions that assimilated satellite XCO\n 2\n or assimilated environmental variables plus surface CO\n 2\n observations better captured carbon uptake anomalies induced by both the 2012 and 2015 droughts. In addition, the recent Orbiting Carbon Observatory—2 XCO\n 2\n inversions showed good potential in capturing drought impacts, with better performances for larger‐scale droughts like the 2018 drought. These results suggest that surface CO\n 2\n observations may still be too sparse to fully capture the impact of drought on the carbon cycle at subcontinental scales over Europe, and satellite XCO\n 2\n and ancillary environmental data can be used to improve observational constraints in atmospheric inversion systems.\n \n , \n Plain Language Summary\n \n Atmospheric CO\n 2\n inverse models (AIMs) are useful tools for quantifying the response of large‐scale carbon uptake to climate extremes, but their capacity for monitoring drought impacts, particularly at regional scales, is not fully explored. In this study, we assessed the capacity of state‐of‐the‐art AIMs for monitoring drought impacts on the European land carbon uptake over 2001–2015 using a large array of observational and model data sets. We found: (a) global inversions with only limited surface CO\n 2\n observations face a great challenge in monitoring drought impacts on the European carbon uptake; (b) Regional inversions assimilated denser CO\n 2\n observations over Europe, for the EUROCOM project, demonstrated some improved consistency but are still deficient, showing divergent estimates in interannual variability of carbon uptake for most years; and (c) A set of inversion systems that assimilated satellite XCO\n 2\n or assimilated environmental variables plus surface CO\n 2\n observations better captured annual and seasonal anomalies caused by droughts. Our study demonstrates that surface CO\n 2\n observations may still be too sparse to fully capture the impact of drought on the carbon cycle at subcontinental scales over Europe, whereby satellite XCO\n 2\n and ancillary environmental data can offer observational constraints for improving the estimates.\n \n , \n Key Points\n \n \n \n \n Global inversions with only limited surface CO\n 2\n observations give divergent estimates of drought impacts on the European carbon uptake\n \n \n \n \n Regional inversions assimilating denser CO\n 2\n observations over Europe demonstrate some improved consistency but are still deficient\n \n \n \n \n The inversions assimilating satellite XCO\n 2\n or environmental variables in addition to surface CO\n 2\n largely improve the estimates},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2024-11-15},\n\tjournal = {Journal of Advances in Modeling Earth Systems},\n\tauthor = {He, Wei and Jiang, Fei and Ju, Weimin and Byrne, Brendan and Xiao, Jingfeng and Nguyen, Ngoc Tu and Wu, Mousong and Wang, Songhan and Wang, Jun and Rödenbeck, Christian and Li, Xing and Scholze, Marko and Monteil, Guillaume and Wang, Hengmao and Zhou, Yanlian and He, Qiaoning and Chen, Jing M.},\n\tmonth = jun,\n\tyear = {2023},\n\tpages = {e2022MS003150},\n}\n\n\n\n","author_short":["He, W.","Jiang, F.","Ju, W.","Byrne, B.","Xiao, J.","Nguyen, N. T.","Wu, M.","Wang, S.","Wang, J.","Rödenbeck, C.","Li, X.","Scholze, M.","Monteil, G.","Wang, H.","Zhou, Y.","He, Q.","Chen, J. M."],"key":"he_stateart_2023","id":"he_stateart_2023","bibbaseid":"he-jiang-ju-byrne-xiao-nguyen-wu-wang-etal-dostateoftheartatmosphericcotextrm2inversemodelscapturedroughtimpactsontheeuropeanlandcarbonuptake-2023","role":"author","urls":{"Paper":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022MS003150"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/tereno","dataSources":["cq3J5xX6zmBvc2TQC"],"keywords":[],"search_terms":["state","art","atmospheric","textrm","inverse","models","capture","drought","impacts","european","land","carbon","uptake","he","jiang","ju","byrne","xiao","nguyen","wu","wang","wang","rödenbeck","li","scholze","monteil","wang","zhou","he","chen"],"title":"Do State‐Of‐The‐Art Atmospheric CO$_{\\textrm{2}}$ Inverse Models Capture Drought Impacts on the European Land Carbon Uptake?","year":2023}