Impact of soil moisture initialization and soil texture on simulated land-atmosphere interaction in Taiwan

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題名:	Impact of soil moisture initialization and soil texture on simulated land-atmosphere interaction in Taiwan
作者:	鄭芳怡;Lin, Tzu-Shun;Cheng, Fang-Yi
貢獻者:	地球科學學院大氣科學學系
關鍵詞:	Atmosphere;Atmospheric boundary layer;Atmospheric sciences;Computer simulation;Data;Data assimilation;Data collection;Data processing;Datasets;Heat;Hurricanes;Hydrologic processes;Hydrology;Influence;Land surface models;Moisture;Precipitation;Products;Rain;Short term;Simulation;Sky;Soil;Soil columns;Soil conductivity;Soil investigations;Soil moisture;Soil particles;Soil properties;Soil texture;Soils;Surface layers;Surveys;Texture;Topography;Typhoons;Weather;Weather forecasting
日期:	2016-05-01
上傳時間:	2026-04-21 14:13:16 (UTC+8)
出版者:	American Meteorological Society;Boston: American Meteorological Society
摘要:	摘要： AbstractThis study investigates the effect of soil moisture initializations and soil texture on the land surface hydrologic processes and its feedback on atmospheric fields in Taiwan. The simulations using the Weather Research and Forecasting (WRF) Model with the Noah land surface model were conducted for a 1-month period from 10 August to 12 September 2013 that included two typhoon-induced precipitation episodes and a series of clear-sky days. Soil moisture from the Global Land Data Assimilation System (GLDAS) was utilized to provide the soil moisture initialization process. In addition, updated soil textures based on field surveys in Taiwan were adopted for the WRF Model. Three WRF sensitivity runs were performed. The first simulation is the base case without any update (WRF-base), the second simulation utilizes GLDAS products to initialize the soil moisture (WRF-GLDAS), and the third simulation includes GLDAS products plus the updated soil textures and soil parameters (WRF-GSOIL). In WRF-base, the soil moisture initialization process is provided from National Centers for Environmental Prediction (NCEP) Final (FNL) Operational Global Analysis data, which are higher than the data from GLDAS products. The WRF-GLDAS and WRF-GSOIL with use of GLDAS data show lower soil moisture than WRF-base and agree better with observed data, while WRF-base shows a systematic wet bias of soil moisture throughout the simulation periods. In WRF-GSOIL, the soil textures with large-sized soil particles reveal higher soil conductivity; as a result, water drains through the soil column in a faster manner than the WRF-GLDAS, which leads to reduced soil moisture in western Taiwan. Among the three simulations, the variation of soil moisture is best simulated in WRF-GSOIL. 出版者： Boston: American Meteorological Society 出版日期： 2016-05-01 出處： Journal of Hydrometeorology, 2016-05, Vol.17 (5), p.1337-1355 資源來源： JSTOR Sustainability 版權： 2016 American Meteorological Society 版權： Copyright American Meteorological Society May 2016 識別號： ISSN: 1525-755X 識別號： EISSN: 1525-7541 識別號： DOI: 10.1175/jhm-d-15-0024.1
顯示於類別:	[大氣科學學系] 期刊論文

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