NDLI: Evaluating the physics options of regional weather models for areas with complex land-use characteristics

Content Provider	IEEE Xplore Digital Library
Author	Badr, H.S. Kandil, H.A. Elhadidi, B.M. Sherif, A.O.
Copyright Year	2011
Description	Author affiliation: Department of Mechatronics Engineering, German University in Cairo (GUC), Egypt (Kandil, H.A.) \|\| National Authority for Remote Sensing and Space Sciences (NARSS), Cairo, Egypt (Badr, H.S.) \|\| Department of Aerospace Engineering, Faculty of Engineering, Cairo University (CU), Giza, Egypt (Elhadidi, B.M.; Sherif, A.O.)
Abstract	The objective of this paper is to evaluate the effects of changing different physics schemes on the accuracy of weather simulations at different locations inside Egypt. The model sensitivity to physics options was tested in the four seasons and the results were compared to observations at different locations. Different physics packages were used based on different planetary boundary layer (PBL) and radiation schemes. The question to be answered in this study is: which scheme is the best scheme for certain location and/or weather regime?. The paper presents the details of model configurations, the results of the carried out simulations, and the behavior of the model with different physics options and initializations at different locations. The best physics options for each location and how to get better solutions for areas with complex land-use characteristics was identified. This is beneficial in determining how to choose an optimal set-up for a forecasting system, especially in Egypt.
Starting Page	3257
Ending Page	3260
File Size	947372
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049914
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Numerical models Atmospheric modeling Meteorology Data models Predictive models Forecasting FDDA Short-Range Ensemble Forecasting Data Assimilation NWP MM5 SREF
Content Type	Text
Resource Type	Article

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