PARAMETRIZATION OF WEATHER RESEARCH FORECAST MODEL OVER WESTERN HIMALAYAN REGION – INDIA

S. Kumari, A. Roy
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Abstract

Abstract. In this study geospatial forecast model WRF (Weather Research & Forecast) has been used to simulate weather variables over Western Himalaya, India. WRF produces simulation which is based on idealized condition or actual atmospheric conditions includes both observation and analyses. WRF Pre-Processing System setup is a collection of Fortran and C programs which requires static and meteorological input data having specific resolution and can be used for nested domain i.e., for more than one grid. For the simulation purpose of the model real time atmospheric data has been used and the result has been compared with existing products. The output generated was for a single time-period with 30 km and 10 km of spatial resolution for outer and inner nest respectively which cover the study area. Mid of May month has been preferred for this study and analysis of the result carried out. Accumulated precipitation and surface soil moisture is very less in lower region whereas as we move up, there is inflation of these two parameters. Similarly, the temperature is very high in lower region in both cases of surface temperature as well as temperature at 2 m above the earth surface.
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印度喜马拉雅西部地区天气研究预报模型的参数化
摘要在本研究中,地理空间预报模型WRF(天气研究与预报)已被用于模拟印度喜马拉雅西部的天气变量。WRF产生的模拟是基于理想化条件或实际大气条件,包括观测和分析。WRF预处理系统设置是Fortran和C程序的集合,需要具有特定分辨率的静态和气象输入数据,并且可以用于嵌套域,即用于多个网格。为了模拟该模型,使用了实时大气数据,并将结果与现有产品进行了比较。所产生的输出是在单个时间段内产生的,覆盖研究区域的外巢和内巢的空间分辨率分别为30km和10km。5月中旬是本研究和结果分析的首选月份。较低地区的累积降水量和地表土壤湿度非常少,而随着我们向上移动,这两个参数会膨胀。同样,无论是地表温度还是地表以上2米的温度,较低区域的温度都非常高。
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CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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