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Domain-size and top-height dependence in regional predictions for the Northeast Asia in spring

Cited 3 time in wos
Cited 3 time in scopus
Title
Domain-size and top-height dependence in regional predictions for the Northeast Asia in spring
Other Titles
봄철 동아시아 지역예측에서의 모델 도메인의 크기와 높이에 대한 의존성
Authors
Song, In-Sun
Park, Sang-Hun
Hong, Jinkyu
Byun, Ui-Yong
Subject
Geochemistry & GeophysicsMeteorology & Atmospheric Sciences
Keywords
Northeast Asiadomain sizemodel topozoneregional modelspectral nudgingtroposphere-stratosphere
Issue Date
2018
Citation
Song, In-Sun, et al. 2018. "Domain-size and top-height dependence in regional predictions for the Northeast Asia in spring". ATMOSPHERIC SCIENCE LETTERS, 19(1): 799-807.
Abstract
For regionalweather forecasts and climate predictions, it is important to determine the optimal domain size, location, and top height. A wide model domain can be chosen to avoid noises from lateral boundaries but this can include the Tibetan Plateau and areas of northern Manchuria to the Kamchatka Peninsula inNortheast Asia. This study shows that topographic regions around the Tibetan Plateau and warm pool areas over the Manchuria in an extended model domain may have harmful effects on the accuracy of short- to medium-range regional predictions on the downwind side in spring. The inaccuracy is related to model errors due to steep terrain regions in the Tibetan Plateau and cold bias in the lower stratosphere north of Manchuria. Well-designed spectral nudging over the eastern flank of the Tibetan Plateau and the use of a higher model top are found to improve regional predictions for Northeast Asia in spring by effectively eliminating errors associated with steep topography and temperature biases in the upper troposphere and lower stratosphere, respectively. Our findings suggest possible ways to mitigate biases due to steep mountains and upper-level processes in regional modeling. We discuss the role of our method in terms of uncertainties in regional weather forecasts and climate predictions.
URI
https://repository.kopri.re.kr/handle/201206/6109
DOI
http://dx.doi.org/10.1002/asl.799
Type
Article
Station
해당사항없음
Indexed
SCIE
Appears in Collections  
2016-2018, Arctic permafrost environment change monitoring and prediction method developments (16-18) / Lee, Bang Yong (PN16081; PN17081; PN18081)
2017-2018, Understanding polar upper atmospheric changes by energy inputs from the space environment and the lower atmosphere (17-18) / Jee, Geonhwa (PE17020; PE18020)
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