AL-YAARI, A.; CHERUY, F.; CROW, W.; WIGNERON, J.-P.; DUCHARNE, Agnès

doi:10.1038/s41598-018-38309-5

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AL-YAARI, A.
Interactions Sol Plante Atmosphère [UMR ISPA]

CHERUY, F.
Laboratoire de Météorologie Dynamique (UMR 8539) [LMD]

CROW, W.
Hydrology and Remote Sensing Laboratory

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Article de revue

Ce document a été publié dans

Scientific Reports. 2019, vol. 9, n° 1, p. 1657

Nature Publishing Group

Résumé en anglais

Past studies have shown that climate simulations have substantial warm and dry biases during the summer in the conterminous United States (CONUS), particularly in the central Great Plains (CGP). These biases have critical implications for the interpretation of climate change projections, but the complex overlap of multiple land-atmosphere feedback processes make them difficult to explain (and therefore correct). Even though surface soil moisture (SM) is often cited as a key control variable in these processes, there are still knowledge gaps about its specific role. Here, we use recently developed remotely sensed SM products to analyse the link between spatial patterns of summertime SM, precipitation and air temperature biases over CONUS in 20 different CMIP5 simulations. We identify three main types of bias combinations: (i) a dry/warm bias over the CGP region, with a significant inter-model correlation between SM and air temperature biases (R = −0.65), (ii) a wet/cold bias in NW CONUS, and (iii) a dry/cold bias in SW CONUS. Combined with irrigation patterns, these results suggest that land-atmosphere feedbacks over the CGP are not only local but have a regional dimension, and demonstrate the added-value of large-scale SM observations for resolving the full feed-back loop between precipitation and temperature.< Réduire

Mots clés en anglais

Hydrology

Climate sciences

URI

https://oskar-bordeaux.fr/handle/20.500.12278/196517

DOI

http://dx.doi.org/10.1038/s41598-018-38309-5

Project ANR

IPSL Climate graduate school - ANR-17-EURE-0006
LabEx Institut Pierre Simon Laplace (IPSL): Understand climate and anticipate future changes - ANR-10-LABX-0018

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Unités de recherche

Interactions Soil Plant Atmosphere (ISPA) - UMR 1391