Impact of additional surface observation network on short range weather forecast during summer monsoon 2008 over Indian subcontinent |
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| Authors: | PRASHANT KUMAR RANDHIR SINGH P C JOSHI P K PAL |
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| Institution: | (1) CSIR Centre for Mathematical Modeling and Computer Simulation, NAL Belur Campus, Bangalore, 560037, India;(2) Meteorology and Oceanography Group, Atmospheric Sciences Division, Space Applications Centre (ISRO), Ahmadabad, 380015, India |
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| Abstract: | The three dimensional variational data assimilation scheme (3D-Var) is employed in the recently developed Weather Research
and Forecasting (WRF) model. Assimilation experiments have been conducted to assess the impact of Indian Space Research Organisation’s
(ISRO) Automatic Weather Stations (AWS) surface observations (temperature and moisture) on the short range forecast over the
Indian region. In this study, two experiments, CNT (without AWS observations) and EXP (with AWS observations) were made for
24-h forecast starting daily at 0000 UTC during July 2008. The impact of assimilation of AWS surface observations were assessed
in comparison to the CNT experiment. The spatial distribution of the improvement parameter for temperature, relative humidity
and wind speed from one month assimilation experiments demonstrated that for 24-h forecast, AWS observations provide valuable
information. Assimilation of AWS observed temperature and relative humidity improved the analysis as well as 24-h forecast.
The rainfall prediction has been improved due to the assimilation of AWS data, with the largest improvement seen over the
Western Ghat and eastern India. |
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