Gridded radar rainfall product for comparison with model rainfall

K. Amar Jyothi; D. Devajyoti; D. Preveen Kumar; E. N. Rajagopal; T. Narayana Rao

doi:10.1117/12.2223802

5 May 2016 Gridded radar rainfall product for comparison with model rainfall

K. Amar Jyothi, D. Devajyoti, D. Preveen Kumar, E. N. Rajagopal, T. Narayana Rao

Proceedings Volume 9876, Remote Sensing of the Atmosphere, Clouds, and Precipitation VI; 98760J (2016) https://doi.org/10.1117/12.2223802
Event: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India

Abstract

A tool for the entire Indian weather radar network using the static composite QI (Quality Index) map is generated. Various customized modules are used for this generation of the radar mosaic. The characterization of quality of DWR (Doppler weather Radar) data in terms of their QI is essential for assimilating the data into NWP (Numerical Weather Prediction) models. The static QI maps give a quick overview about the inherent errors in the DWR data. Quality control algorithms are applied for the generation of composite QI. The near real time access to the DWR data at NCMRWF enables the generation of an accumulated gridded radar rainfall product. This gridded rainfall map is useful for generating products like high resolution rainfall product, QPE (quantitative precipitation estimate) and for other applications. Results of some case studies shall be presented.

Citation Download Citation

K. Amar Jyothi, D. Devajyoti, D. Preveen Kumar, E. N. Rajagopal, and T. Narayana Rao "Gridded radar rainfall product for comparison with model rainfall", Proc. SPIE 9876, Remote Sensing of the Atmosphere, Clouds, and Precipitation VI, 98760J (5 May 2016); https://doi.org/10.1117/12.2223802

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KEYWORDS

Radar

Data modeling

Atmospheric modeling

Meteorology

Reflectivity

Composites

Doppler effect

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