Weather Research Forecast (WRF) Modification of Land Surface Albedo Simulations for Urban Near Surface Temperature

被引：0

作者：

Salleh, Siti Aekbal ^{[1
]}

Abd Latif, Zulkiflee ^{[1
]}

Chan, Andy ^{[2
]}

Morris, Kenobi Isima ^{[2
]}

Ooi, Maggie Chel Gee ^{[2
]}

Mohd, Wan Mohd Naim Wan ^{[3
]}

机构：

[1] Univ Teknol MARA, Fac Architecture Planning & Surveying, Appl Remote Sensing & Geospatial Res Grp, Shah Alam 40450, Selangor, Malaysia

[2] Univ Nottingham, Fac Engn, Selangor, Malaysia

[3] Univ Teknol MARA, Fac Architecture Planning & Surveying, Ctr Studies Surveying Sci & Geomat, Shah Alam 40450, Selangor, Malaysia

来源：

2015 INTERNATIONAL CONFERENCE ON SPACE SCIENCE AND COMMUNICATION (ICONSPACE) | 2015年

关键词：

Land surface albedo; Air temperature; WRF; remote sensing; climate change;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This study demonstrates a comparison of the Weather Research Forecast (WRF) simulation results using the original values of satellite derived land surface albedo (LSA) and modified LSA as compared to the in-situ observations from the CAQMs located in Putrajaya, Malaysia. The comparisons were executed diurnally. The impacts of localized LSA were quantitatively analyzed using Weather Research Forecasting (WRF) the Advance Research WRF WRF-ARW dynamic solver using the Near Surface Temperature output. It was identified that an improvement of simulation and prediction can be acquired if the LSA uncertainty requirements (0.02 - 0.05) climate change modelling is fulfilled.

引用

页码：243 / 247

页数：5

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