Effects of horizontal resolution and air–sea coupling on simulated moisture source for East Asian precipitation in MetUM GA6/GC2
-
Published:2020-12-01
Issue:12
Volume:13
Page:6011-6028
-
ISSN:1991-9603
-
Container-title:Geoscientific Model Development
-
language:en
-
Short-container-title:Geosci. Model Dev.
Author:
Guo LiangORCID, van der Ent Ruud J.ORCID, Klingaman Nicholas P.ORCID, Demory Marie-EstelleORCID, Vidale Pier LuigiORCID, Turner Andrew G.ORCID, Stephan Claudia C., Chevuturi AmulyaORCID
Abstract
Abstract. Precipitation over East Asia in six Met Office Unified Model (MetUM) simulations is compared with observation and ERA-Interim reanalysis.
These simulations include three
different horizontal resolutions, from low and medium to high, and including atmosphere-only version (Global Atmosphere 6.0; GA6) and air–sea coupling version (Global Coupled 2.0; GC2). Precipitation in simulations is systematically different from that in observations and reanalysis. Increasing horizontal resolution and
including air–sea coupling improve simulated precipitation but cannot eliminate bias. Moisture sources of East Asian precipitation are identified using the Water Accounting Model (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 atmosphere-only simulations. These
differences in moisture sources indicate different types of models biases caused by surface flux or/and atmospheric circulation on different
locations. This information can be used to target model biases on specified locations and due to different mechanisms.
Publisher
Copernicus GmbH
Reference63 articles.
1. Baker, A. J., Sodemann, H., Baldini, J. U. L., Breitenbach, S. F. M., Johnson, K. R., v<span id="page6026"/>an Hunen, J., and Pingzhong, Z.:
Seasonality of westerly moisture transport in the East Asian summer monsoon and its implications for interpreting precipitation δ18,
J. Geophys. Res.-Atmos.,
120, 5850–5862, https://doi.org/10.1002/2014JD022919, 2015. a 2. Barsugli, J. J. and Battisti, D. S.:
The Basic Effects of Atmosphere–Ocean Thermal Coupling on Midlatitude Variability,
J. Atmos. Sci.,
55, 477–493, https://doi.org/10.1175/1520-0469(1998)055<0477:TBEOAO>2.0.CO;2, 1998. a 3. Berrisford, P., Dee, D., Poli, P., Brugge, R., Fielding, K., Fuentes, M., Kållberg, P., Kobayashi, S., Uppala, S., and Simmons, A.:
The ERA-Interim archive Version 2.0,
Shinfield Park, Reading, 2011. a 4. Chen, H. and Sun, J.:
Assessing model performance of climate extremes in China: an intercomparison between CMIP5 and CMIP3,
Climatic Change,
129, 197–211, https://doi.org/10.1007/s10584-014-1319-5, 2015. a 5. Chu, Q., Wang, Q., and Feng, G.:
Determination of the major moisture sources of cumulative effect of torrential rain events during the preflood season over South China using a Lagrangian particle model,
J. Geophys. Res.-Atmos.,
122, 8369–8382, https://doi.org/10.1002/2016JD026426, 2017. a
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|