Recent Performance of Agro-meteorological Services for Uttar Pradesh

  • AK Singh India Meteorological Department, Meteorological Centre Lucknow, India
  • JP Gupta India Meteorological Department, Meteorological Centre Lucknow, India
Keywords: NWP, Multi-model ensemble, District level weather forecast, Skill scores, Verification, District Agromet Advisory Service bulletin, GraminKrishiMausamSewa.

Abstract

Deterministic quantitative district level weather forecast for 5 days is being issued on operational basis for the agriculture sector since 1st June, 2008. These forecast products comprise of quantitative forecasts for total eight weather parameters, viz., rainfall, maximum and minimum temperatures, wind speed and direction, maximum and minimum relative humidity and cloudiness. This quantitative forecast is primarily based on GFS-T1534 Global NWP Model which is disseminated to 7 AMFUs and the DAMUs under their jurisdiction through Agro-DSS after proper value addition based on Synoptic Guidance & Diagnostics supported by objective guidance from other available NWP models appended with adverse weather warnings in textual format by SAMC Lucknow for preparation of weather based District Agromet Advisory Service bulletin under GraminKrishiMausamSewa. This study discusses the recent advances in performance skill of the operational district level weather forecasts over different parts of the state during different seasons of the year 2020. The verification results show that value added weather forecasts are reasonably accurate for operational sectoral application.

Published
2023-12-04
How to Cite
Singh, A., & Gupta, J. (2023). Recent Performance of Agro-meteorological Services for Uttar Pradesh. Vayumandal, 48(2), 50-60. Retrieved from https://vayumandal.imetsociety.org/index.php/Vayumandal/article/view/24
Issue
Vol 48 No 2 (2022): VAYUMANDAL
Section
Research Paper

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