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Development and Evaluation of a Hydrometeorological Forecasting System Using the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Model

文献类型：期刊论文

作者Zou, Jing1; Zhan, Chesheng2; Song, Haiqing3,4; Hu, Tong1; Qiu, Zhijin1; Wang, Bo1; Li, Zhiqian1
刊名ADVANCES IN METEOROLOGY
出版日期2021-01-19
卷号2021页码:17
ISSN号1687-9309
DOI10.1155/2021/6658722
通讯作者Zou, Jing(zoujing@mail.iap.ac.cn)
英文摘要In this study, an experimental hydrometeorological forecasting system was developed based on the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) model. The system downloads global real-time ocean, atmosphere, and wave forcing data, producing regional forecasts every day. A coastal area in South China, encompassing Hainan Island, Leizhou Peninsula, and surrounding sea areas, was chosen as the study domain. A series of 72-hour forecasting simulations were conducted in the area, lasting from July 27 to August 31, 2019. The forecasts throughout August were chosen for evaluation with station observations, along with two sets of reanalysis data, ERA5 and CLDAS. The evaluation results revealed that the COAWST model had high potential for routine forecasting operations. The 24 h forecasts, with a lead time of 24 hours, had high accuracy, while the 48 h and 72 h forecasts did not differ greatly in terms of performance. The distributions of bias between forecast and reanalysis data showed obvious differences between land and sea, with more forecasted precipitation and lower temperatures in land grids than in sea grids. In most cases, the forecasts were closer to ERA5 in terms of means and other statistical measures. The forecasts enlarged the land-sea differences of temperature when compared with ERA5 and strengthened summer monsoon with more moisture transported to land areas. Resulting from that, a forecasted bias of lower surface pressure, higher air humidity, stronger south wind, and so forth was also detected over the domain but at low values.
资助项目National Key R&D Program of China[2017YFA0603702] ; National Natural Science Foundation of China[41705046] ; National Natural Science Foundation of China[42076195] ; National Natural Science Foundation of China[41805132] ; Natural Science Foundation of Shandong Province of China[ZR2020MF022] ; Natural Science Foundation of Shandong Province of China[ZR2020QD085] ; Youth Foundation of Shandong Academy of Sciences, China[2020QN0023] ; Production-Study-Research Innovation Foundation of Shandong Academy of Sciences, China[2019-CXY1]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
出版者HINDAWI LTD
WOS记录号WOS:000616418500001
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; Natural Science Foundation of Shandong Province of China ; Youth Foundation of Shandong Academy of Sciences, China ; Production-Study-Research Innovation Foundation of Shandong Academy of Sciences, China
源URL[http://ir.igsnrr.ac.cn/handle/311030/160593]  
专题中国科学院地理科学与资源研究所
通讯作者Zou, Jing
作者单位1.Qilu Univ Technol, Shandong Acad Sci, Inst Oceanog Instrumentat, Qingdao 266001, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Yucheng Stn, Beijing 100101, Peoples R China
3.Inner Mongolia Ecol & Agr Meteorol Ctr, Hohhot 010051, Peoples R China
4.Inner Mongolia Agr Univ, Water Conservancy & Civil Engn Coll, Hohhot 010018, Peoples R China
推荐引用方式
GB/T 7714		 Zou, Jing,Zhan, Chesheng,Song, Haiqing,et al. Development and Evaluation of a Hydrometeorological Forecasting System Using the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Model[J]. ADVANCES IN METEOROLOGY,2021,2021:17.
APA Zou, Jing.,Zhan, Chesheng.,Song, Haiqing.,Hu, Tong.,Qiu, Zhijin.,...&Li, Zhiqian.(2021).Development and Evaluation of a Hydrometeorological Forecasting System Using the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Model.ADVANCES IN METEOROLOGY,2021,17.
MLA Zou, Jing,et al."Development and Evaluation of a Hydrometeorological Forecasting System Using the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Model".ADVANCES IN METEOROLOGY 2021(2021):17.

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来源：地理科学与资源研究所

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