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Proceedings Paper

Wind from Indian Doppler Weather Radars: a data assimilation view point
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Paper Abstract

Doppler Weather Radar (DWR) can provide tropospheric wind observations with high temporal and spatial resolutions. The Volume Velocity Processing (VVP) technique is one of the processing methods which can provide vertical profiles of mean horizontal winds. The DWR observed VVP winds gives a continuous observation of the wind field at various atmospheric levels. The quality of the VVP winds is studied against the short-range forecast of the NCUM model (model background). The biases of the observation are calculated against model background. This study focuses on the quality of VVP winds and seasonal variation of bias of the observed wind. This results shows that the VVP winds provides reasonably accurate estimates of the vertical wind structure in the troposphere over radar locations which can be effectively used in the numerical weather prediction system.

Paper Details

Date Published: 9 May 2016
PDF: 9 pages
Proc. SPIE 9876, Remote Sensing of the Atmosphere, Clouds, and Precipitation VI, 98760W (9 May 2016); doi: 10.1117/12.2223691
Show Author Affiliations
Devajyoti Dutta, National Ctr. for Medium Range Weather Forecasting (India)
Swapan Mallick, Kyungpook National Univ. (Korea, Republic of)
K. Amar Jyothi, National Ctr. for Medium Range Weather Forecasting (India)
John P. George, National Ctr. for Medium Range Weather Forecasting (India)
D. Preveen Kumar, National Ctr. for Medium Range Weather Forecasting (India)


Published in SPIE Proceedings Vol. 9876:
Remote Sensing of the Atmosphere, Clouds, and Precipitation VI
Eastwood Im; Raj Kumar; Song Yang, Editor(s)

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