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1000 Titel
  • Spatial biases reduce the ability of Earth system models to simulate soil heterotrophic respiration fluxes
1000 Autor/in
  1. Guenet, Bertrand |
  2. Orliac, Jérémie |
  3. Cécillon, Lauric |
  4. Torres, Olivier |
  5. Sereni, Laura |
  6. Martin, Philip A. |
  7. Barré, Pierre |
  8. Bopp, Laurent |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-02-02
1000 Erschienen in
1000 Quellenangabe
  • 21(2):657-669
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/bg-21-657-2024 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. Heterotrophic respiration (Rh) is, at a global scale, one of the largest CO2 fluxes between the Earth's surface and atmosphere and may increase in the future. The previous generation of Earth system models (ESMs) was able to reproduce global fluxes relatively well, but at that, time no gridded products were available to perform an in-depth evaluation. The capacity of the new generation of ESMs used within the Coupled Model Intercomparison Project Phase 6 (CMIP6) to reproduce this flux has not been evaluated, meaning that the realism of resulting CO2 flux estimates is unclear. In this study, we combine recently released observational data on Rh and ESM simulations to evaluate the ability of 13 ESMs from CMIP6 to reproduce Rh. Only 4 of the 13 tested ESMs were able to reproduce the total Rh flux, but spatial analysis underlined important bias compensation for most of the ESMs, which generally showed an overestimation in tropical regions and an underestimation in arid regions. To identify the main drivers of the bias, we performed an analysis of the residuals and found that mean annual precipitation was the most important driver explaining the difference between ESM simulations and observation-derived products of Rh, with a higher bias between ESM simulations and Rh products where precipitation was high. Based on our results, next-generation ESMs should focus on improving the response of Rh to soil moisture. </jats:p>
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R3VlbmV0LCBCZXJ0cmFuZA==|https://frl.publisso.de/adhoc/uri/T3JsaWFjLCBKw6lyw6ltaWU=|https://frl.publisso.de/adhoc/uri/Q8OpY2lsbG9uLCBMYXVyaWM=|https://frl.publisso.de/adhoc/uri/VG9ycmVzLCBPbGl2aWVy|https://frl.publisso.de/adhoc/uri/U2VyZW5pLCBMYXVyYQ==|https://frl.publisso.de/adhoc/uri/TWFydGluLCBQaGlsaXAgQS4=|https://frl.publisso.de/adhoc/uri/QmFycsOpLCBQaWVycmU=|https://frl.publisso.de/adhoc/uri/Qm9wcCwgTGF1cmVudA==
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  • DeepGreen-ID: 9aa2a0c9c90a4f21b40a092d5b51b317 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Förderer
  1. Agence Nationale de la Recherche |
1000 Fördernummer
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1000 Förderprogramm
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1000 Dateien
1000 Förderung
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    1000 Förderer Agence Nationale de la Recherche |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2024-05-23T15:14:34.862+0200
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1000 Zuletzt bearbeitet Mon May 27 10:35:25 CEST 2024
1000 Objekt bearb. Mon May 27 10:35:25 CEST 2024
1000 Vgl. frl:6480547
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