Assimilation of INSAT-3D Satellite Data in WRF Model
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RESEARCH ARTICLE
Assimilation of INSAT-3D Satellite Data in WRF Model H. S. Lekhadiya1 • R. K. Jana1
Received: 6 January 2017 / Revised: 16 March 2019 / Accepted: 25 March 2019 Ó The National Academy of Sciences, India 2019
Abstract The three-dimensional variational data assimilation system of the Weather Research and Forecasting (WRF) model is used in this study to assimilate the INSAT-3D temperature and specific humidity profiles over west coast of India, Mumbai, during 0000 UTC of 11–12 July 2016. The analysis obtained after assimilation is compared with the European Centre for Medium-Range Weather Forecasts (ECMWF) analysis. After ECMWF assimilation, the results of the rainfall predictions show improvement over the Indian region. Overall, the assimilation of INSAT-3D is compared with ECMWF analysis, which shows quite good improvement in temperature and humidity analysis. Positive improvements are noticed in 24-h WRF model-predicted rainfall on assimilation of INSAT-3D thermodynamic profiles over west coast of India, Mumbai. Keywords Assimilation INSAT-3D WRF model Forecast Temperature Humidity Rainfall
1 Introduction Mumbai (19.0 N, 72.85 E), also known as Bombay, is a main metropolitan city at the India’s west coast. Most of the time throughout the year, Mumbai’s weather is humid
& R. K. Jana [email protected] H. S. Lekhadiya [email protected] 1
Applied Mathematics and Humanities Department, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India
and warm. Flood alert broadcasting is a primary element of extreme rainfall events for short-term prediction, which is a challenge, in spite of the improvements of Numerical Weather Prediction (NWP) models. Such prediction is a high precedence study, mainly in urbanized regions like west coast of India, Mumbai, which is at risk of urban flooding. The significance of satellite information for the NWP model has been developed regularly during the past two decades, and the main source of input for the NWP models is the satellite information [1]. Data assimilation is the technique in which observations of the original system are incorporated into the model. The aim of data assimilation is to produce a model state that is as close to the original state as possible, i.e. one that describes the observed reality in the optimum way, which is referred to as the analysis. Because of their excessive temporal and spatial resolution, geostationary satellite devices afford as good as continuous data effect. The climate projection is needed beyond the observing area. Geostationary satellite devices have lower resolution consequently short capacity of presenting vertical soundings of the environment than the polar-orbiting satellite devices [2]. India has successfully launched on 26th July 2013, a new geostationary meteorological satellite INSAT-3D over Indian Ocean region at 82.5 positioned for advanced meteorological studies. The combination of an atmospheric sounder device and an improved imaging device is configured for an advanc
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