Review of Xue et al. "Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): Organization and Experimental design"
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Le résumé fourni par la source
Abstract. Subseasonal-to-seasonal (S2S) prediction, especially the prediction of extreme hydroclimate events such as droughts and floods, is not only scientifically challenging, but also has substantial societal impacts. Motivated by preliminary studies, the Global Energy and Water Exchanges (GEWEX)/Global Atmospheric System Study (GASS) has launched a new initiative called “Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction” (LS4P) as the first international grass-roots effort to introduce spring land surface temperature (LST)/subsurface temperature (SUBT) anomalies over high mountain areas as a crucial factor that can lead to significant improvement in precipitation prediction through the remote effects of land–atmosphere interactions. LS4P focuses on process understanding and predictability, and hence it is different from, and complements, other international projects that focus on the operational S2S prediction. More than 40 groups worldwide have participated in this effort, including 21 Earth system models, 9 regional climate models, and 7 data groups. This paper provides an overview of the history and objectives of LS4P, provides the first-phase experimental protocol (LS4P-I) which focuses on the remote effect of the Tibetan Plateau, discusses the LST/SUBT initialization, and presents the preliminary results. Multi-model ensemble experiments and analyses of observational data have revealed that the hydroclimatic effect of the spring LST on the Tibetan Plateau is not limited to the Yangtze River basin but may have a significant large-scale impact on summer precipitation beyond East Asia and its S2S prediction. Preliminary studies and analysis have also shown that LS4P models are unable to preserve the initialized LST anomalies in producing the observed anomalies largely for two main reasons: (i) inadequacies in the land models arising from total soil depths which are too shallow and the use of simplified parameterizations, which both tend to limit the soil memory; (ii) reanalysis data, which are used for initial conditions, have large discrepancies from the observed mean state and anomalies of LST over the Tibetan Plateau. Innovative approaches have been developed to largely overcome these problems.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Review of Xue et al. "Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): Organization and Experimental design"
- Date Crossref
- 18/02/2021
- Éditeur
- Copernicus GmbH
- Type
- peer-review
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of California pays non établi dans la noticeUniversité ou école supérieure
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Chinese Academy of Sciences pays non établi dans la noticeOrganisme public
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Institute of Tibetan Plateau Research pays non établi dans la noticeStructure de recherche
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Centre National de la Recherche Scientifique pays non établi dans la noticeOrganisme public
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Université Fédérale de Toulouse Midi-Pyrénées pays non établi dans la noticeUniversité ou école supérieure
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Centre National de Recherches Météorologiques pays non établi dans la noticeStructure de recherche
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Météo-France pays non établi dans la noticeInstitution
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Université de Toulouse CNRM pays non établi dans la noticeUniversité ou école supérieure
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University of Arizona pays non établi dans la noticeUniversité ou école supérieure
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Earth System Science Interdisciplinary Center pays non établi dans la noticeStructure de recherche
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University of Maryland Earth System Science Interdisciplinary Center (ESSIC) pays non établi dans la noticeUniversité ou école supérieure
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Japan Agency for Marine-Earth Science and Technology pays non établi dans la noticeStructure de recherche
University of California, Chinese Academy of Sciences et Institute of Tibetan Plateau Research, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.