Addressing Challenges in Simulating Inter–Annual Variability of Gross Primary Production

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00619417" target="_blank" >RIV/86652079:_____/25:00619417 - isvavai.cz</a>

Result on the web

<a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024MS004697" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024MS004697</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1029/2024MS004697" target="_blank" >10.1029/2024MS004697</a>

Result language

angličtina

Original language name

Addressing Challenges in Simulating Inter–Annual Variability of Gross Primary Production

Original language description

A long-standing challenge in studying the global carbon cycle has been understanding the factors controlling inter–annual variation (IAV) of carbon fluxes, and improving their representations in existing biogeochemical models. Here, we compared an optimality-based model and a semi-empirical light use efficiency model to understand how current models can be improved to simulate IAV of gross primary production (GPP). Both models simulated hourly GPP and were parameterized for (a) each site–year, (b) each site with an additional constraint on IAV (), (c) each site, (d) each plant–functional type, and (e) globally. This was followed by forward runs using calibrated parameters, and model evaluations using Nash–Sutcliffe efficiency (NSE) as a model-fitness measure at different temporal scales across 198 eddy-covariance sites representing diverse climate–vegetation types. Both models simulated hourly GPP better (median normalized NSE: 0.83 and 0.85) than annual GPP (median normalized NSE: 0.54 and 0.63) for most sites. Specifically, the optimality-based model substantially improved from NSE of −1.39 to 0.92 when drought stress was explicitly included. Most of the variability in model performances was due to model types and parameterization strategies. The semi-empirical model produced statistically better hourly simulations than the optimality-based model, and site–year parameterization yielded better annual model performance. Annual model performance did not improve even when parameterized using . Furthermore, both models underestimated the peaks of diurnal GPP, suggesting that improving predictions of peaks could produce better annual model performance. Our findings reveal current modeling deficiencies in representing IAV of carbon fluxes and guide improvements in further model development.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Advances in Modeling Earth Systems

ISSN

1942-2466

e-ISSN

1942-2466

Volume of the periodical

17

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

43

Pages from-to

e2024MS004697

UT code for WoS article

001478324400001

EID of the result in the Scopus database

2-s2.0-105004169903