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Effects of horizontal resolution and air-sea coupling on simulated moisture source for East Asian precipitation

Guo, L. ORCID:, van der Ent, R. J. ORCID:, Klingaman, N. P. ORCID:, Demory, M.-E. ORCID:, Vidale, P. L. ORCID:, Turner, A. G. ORCID:, Stephan, C. and Chevuturi, A. ORCID: (2020) Effects of horizontal resolution and air-sea coupling on simulated moisture source for East Asian precipitation. Geoscientific Model Development Discussions, 13 (12). pp. 6011-6028. ISSN 1991-962X

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To link to this item DOI: 10.5194/gmd-13-6011-2020


Precipitation over East Asia in six MetUM simulations are compared with observation and ERA-Interim reanalysis. These simulations include three different horizontal resolutions, from low, medium to high, and including atmosphere-only version (GA6.0) and air-sea coupling version (GC2.0). Precipitations in simulations are systematically different from that of observation and reanalysis. Increasing horizontal resolution and including air-sea coupling improve simulated precipitation but cannot eliminate bias. % Moisture sources of East Asian precipitations are identified using the WAM-2layers - a moisture tracking model that traces moisture source using collective information of evaporation, atmospheric moisture and circulation. Similar to precipitation, moisture sources in simulations are systematically different from that of ERA-Interim. Major differences in moisture sources include underestimated moisture contribution from tropical Indian Ocean and overestimate contribution from Eurasian continent. % By increasing horizontal resolution, precipitation bias over the Tibetan Plateau is improved. From the moisture source point of view, this is achieved by reducing contribution from remote moisture source and enhancing local contribution over its eastern part. % Although including air-sea coupling does not necessarily change East Asian precipitation, moisture sources show differences between coupled and atmospheric-only simulations. These differences in moisture sources indicate different types of models biases caused by surface flux or/and atmospheric circulation on different locations. These information can be used to target model biases on specified locations and due to different mechanisms.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:93411
Publisher:European Geosciences Union


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