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Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements

Harper, A. B.; Williams, K. E.; Mcguire, P. C.; Duran Rojas, M. C.; Hemming, D.; Verhoef, A.; Huntingford, C.; Rowland, L.; Marthews, T.; Breder Eller, C.; Mathison, C.; Nobrega, R. L. B.; Gedney, N.; Vidale, P. L.; Otu-Larbi, F.; Pandey, D.; Garrigues, S.; Wright, A.; Slevin, D.; ... mehr


Drought is predicted to increase in the future due to climate change, bringing with it myriad impacts on ecosystems. Plants respond to drier soils by reducing stomatal conductance in order to conserve water and avoid hydraulic damage. Despite the importance of plant drought responses for the global carbon cycle and local and regional climate feedbacks, land surface models are unable to capture observed plant responses to soil moisture stress. We assessed the impact of soil moisture stress on simulated gross primary productivity (GPP) and latent energy flux (LE) in the Joint UK Land Environment Simulator (JULES) vn4.9 on seasonal and annual timescales and evaluated 10 different representations of soil moisture stress in the model. For the default configuration, GPP was more realistic in temperate biome sites than in the tropics or high-latitude (cold-region) sites, while LE was best simulated in temperate and high-latitude (cold) sites. Errors that were not due to soil moisture stress, possibly linked to phenology, contributed to model biases for GPP in tropical savanna and deciduous forest sites. We found that three alternative approaches to calculating soil moisture stress produced more realistic results than the default parameterization for most biomes and climates. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000134271
Veröffentlicht am 23.06.2021
DOI: 10.5194/gmd-14-3269-2021
Zitationen: 7
Web of Science
Zitationen: 6
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1991-959X, 1991-9603
KITopen-ID: 1000134271
HGF-Programm 12.11.22 (POF IV, LK 01) Biogeochemical modeling of ecosystem-climate interactions
Erschienen in Geoscientific Model Development
Verlag Copernicus Publications
Band 14
Heft 6
Seiten 3269-3294
Nachgewiesen in Web of Science
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