Academic Journal
Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model
| العنوان: | Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model |
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| المؤلفون: | Bacour, Cédric, Macbean, Natasha, Chevallier, Frédéric, Léonard, Sébastien, Koffi, Ernest, N, Peylin, Philippe |
| المساهمون: | Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), NOVELTIS Sté, University of Western Ontario (UWO), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Air Liquide Santé International Jouy-en-Josas, France (Campus Innovation Paris), European Centre for Medium-Range Weather Forecasts (ECMWF), European Project: 242316,EC:FP7:SPA,FP7-SPACE-2009-1,CARBONES(2010) |
| المصدر: | ISSN: 1726-4170. |
| بيانات النشر: | CCSD European Geosciences Union |
| سنة النشر: | 2023 |
| المجموعة: | Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
| مصطلحات موضوعية: | [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment |
| الوصف: | International audience ; In spite of the importance of land ecosystems in offsetting carbon dioxide emissions released by anthropogenic activities into the atmosphere, the spatiotemporal dynamics of terrestrial carbon fluxes remain largely uncertain at regional to global scales. Over the past decade, data assimilation (DA) techniques have grown in importance for improving these fluxes simulated by terrestrial biosphere models (TBMs), by optimizing model parameter values while also pinpointing possible parameterization deficiencies. Although the joint assimilation of multiple data streams is expected to constrain a wider range of model processes, their actual benefits in terms of reduction in model uncertainty are still under-researched, also given the technical challenges. In this study, we investigated with a consistent DA framework and the ORCHIDEE-LMDz TBM–atmosphere model how the assimilation of different combinations of data streams may result in different regional to global carbon budgets. To do so, we performed comprehensive DA experiments where three datasets (in situ measurements of net carbon exchange and latent heat fluxes, spaceborne estimates of the normalized difference vegetation index, and atmospheric CO2 concentration data measured at stations) were assimilated alone or simultaneously. We thus evaluated their complementarity and usefulness to constrain net and gross C land fluxes. We found that a major challenge in improving the spatial distribution of the land C sinks and sources with atmospheric CO2 data relates to the correction of the soil carbon imbalance. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | info:eu-repo/grantAgreement/EC/FP7/242316/EU/30-year re-analysis of CARBON fluxES and pools over Europe and the Globe/CARBONES |
| DOI: | 10.5194/bg-20-1089-2023 |
| الاتاحة: | https://hal.science/hal-04086994 https://hal.science/hal-04086994v1/document https://hal.science/hal-04086994v1/file/bg-20-1089-2023.pdf https://doi.org/10.5194/bg-20-1089-2023 |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.A17F48F5 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5194/bg-20-1089-2023 |
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