Investigation of the effects of different land use and land cover patterns on mesoscale meteorological simulations in the Taiwan area

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Title:	Investigation of the effects of different land use and land cover patterns on mesoscale meteorological simulations in the Taiwan area
Authors:	林唐煌;Cheng, Fang-Yi;Hsu, Yu-Ching;Lin, Pay-Liam;Lin, Tang-Huang
Contributors:	太空及遙測研究中心
Keywords:	Agreements;Agricultural land;Classification;Datasets;Earth, ocean, space;Exact sciences and technology;External geophysics;Farmlands;Geological surveys;Heat;Irrigation;Land use;Marine;Meteorology;Metropolitan areas;Mixed forests;Rain;Remote sensing;Sea breezes;Soil water;Studies;Temperature;Temperature gradients;Urban areas;Urbanization;Weather;Weather analysis and prediction;Wind speed;Wind velocity
Date:	2013-03-01
Issue Date:	2026-04-21 14:25:40 (UTC+8)
Publisher:	American Meteorological Society;Boston, MA: American Meteorological Society
Abstract:	摘要： AbstractThe U.S. Geological Survey (USGS) land use (LU) data employed in the Weather Research and Forecasting (WRF) model classify most LU types in Taiwan as mixtures of irrigated cropland and forest, which is not an accurate representation of current conditions. The WRF model released after version 3.1 provides an alternative LU dataset retrieved from 2001 Moderate Resolution Imaging Spectroradiometer (MODIS) satellite products. The MODIS data correctly identify most LU-type distributions, except that they represent western Taiwan as being extremely urbanized. A new LU dataset, obtained using 2007 Système Probatoire d’Observation de la Terre (SPOT) satellite imagery [from the National Central University of Taiwan (NCU)], accurately shows the major metropolitan cities as well as other land types. Three WRF simulations were performed, each with a different LU dataset. Owing to the overestimation of urban area in the MODIS data, WRF-MODIS overpredicts daytime temperatures in western Taiwan. Conversely, WRF-USGS underpredicts daytime temperatures. The temperature variation estimated by WRF-NCU falls between those estimated by the other two simulations. Over the ocean, WRF-MODIS predicts the strongest onshore sea breezes, owing to the enhanced temperature gradient between land and sea, while WRF-USGS predicts the weakest onshore flow. The intensity of the onshore breeze predicted by WRF-NCU is between those predicted by WRF-MODIS and WRF-USGS. Over Taiwan, roughness length is the key parameter influencing wind speed. WRF-USGS significantly overpredicts the surface wind speed owing to the shorter roughness length of its elements, while the surface wind speeds estimated by WRF-NCU and WRF-MODIS are in better agreement with the observed data. 出版者： Boston, MA: American Meteorological Society 出版日期： 2013-03-01 出處： Journal of Applied Meteorology and Climatology, 2013-03, Vol.52 (3), p.570-587 資源來源： JSTOR Sustainability (journals titles only - not a separate collection) 版權： 2013 American Meteorological Society 版權： 2014 INIST-CNRS 版權： Copyright American Meteorological Society Mar 2013 識別號： ISSN: 1558-8424 識別號： EISSN: 1558-8432 識別號： DOI: 10.1175/jamc-d-12-0109.1 識別號： CODEN: JOAMEZ
Appears in Collections:	[Center for Space and Remote Sensing Research ] journal & Dissertation

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