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

Devajyoti Dutta, S. Mallick, K. Jyothi, J. George, D. Kumar
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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.
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来自印度多普勒天气雷达的风:数据同化的观点
多普勒天气雷达(DWR)可以提供高时空分辨率的对流层风观测。体积速度处理(VVP)技术是一种能够提供平均水平风垂直剖面的处理方法。DWR观测到的VVP风提供了在不同大气水平上的风场的连续观测。根据NCUM模式(模式背景)的短期预报,研究了VVP风的质量。根据模型背景计算观测值的偏差。本研究重点研究了VVP风的质量和观测风偏差的季节变化。结果表明,VVP风对雷达位置对流层垂直风结构提供了较为准确的估计,可有效地用于数值天气预报系统。
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