Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO 2 Flux and its Inter‐Annual Variability

Mahmud, Kashif; Scott, Russell L.; Biederman, Joel A.; Litvak, Marcy E.; Kolb, Thomas; Meyers, Tilden P.; Krishnan, Praveena; Bastrikov, Vladislav; MacBean, Natasha

doi:10.1029/2021JG006400

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

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Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO 2 Flux and its Inter‐Annual Variability

2021
By Mahmud, Kashif ; Scott, Russell L. ; Biederman, Joel A. ; ...
Source: Journal of Geophysical Research: Biogeosciences, 126(10)

[PDF-1.65 MB]

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Journal Title:

Journal of Geophysical Research: Biogeosciences
Personal Author:

Mahmud, Kashif ; Scott, Russell L. ; Biederman, Joel A. ; Litvak, Marcy E. ; Kolb, Thomas ; ... More +

Mahmud, Kashif ; Scott, Russell L. ; Biederman, Joel A. ; Litvak, Marcy E. ; Kolb, Thomas ; Meyers, Tilden P. ; Krishnan, Praveena ; Bastrikov, Vladislav ; MacBean, Natasha Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory)

OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory) Less -
Description:

Drylands occupy ∼40% of the land surface and are thought to dominate global carbon (C) cycle inter-annual variability (IAV). Therefore, it is imperative that global terrestrial biosphere models (TBMs), which form the land component of IPCC earth system models, are able to accurately simulate dryland vegetation and biogeochemical processes. However, compared to more mesic ecosystems, TBMs have not been widely tested or optimized using in situ dryland CO2 fluxes. Here, we address this gap using a Bayesian data assimilation system and 89 site-years of daily net ecosystem exchange (NEE) data from 12 southwest US Ameriflux sites to optimize the C cycle parameters of the ORCHIDEE TBM. The sites
Keywords:

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Aquatic Science Atmospheric Science Ecology Forestry Paleontology Soil Science Water Science And Technology
Source:

Journal of Geophysical Research: Biogeosciences, 126(10)
DOI:

https://doi.org/10.1029/2021JG006400
ISSN:

2169-8953;2169-8961;
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PDF
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American Geophysical Union (AGU)
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Journal Article
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urn:sha256:76742d260a418b7215f4fcd347aa698ec38f2a9b39906d069eb911354dfb5d93
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https://repository.library.noaa.gov/view/noaa/53960/noaa_53960_DS1.pdf
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