A study on blending radar and numerical weather prediction model products in very short-range forecast and nowcasting

Dandan Yang; Shuanghe Shen; Lingling Shao

doi:10.1117/12.832627

30 October 2009 A study on blending radar and numerical weather prediction model products in very short-range forecast and nowcasting

Dandan Yang, Shuanghe Shen, Lingling Shao

Author Affiliations +

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749828 (2009) https://doi.org/10.1117/12.832627
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

This paper presents a new blending approach: Using meso-scale Numerical Weather Prediction (NWP) products as environment field, coordinating with weather radar information, blending radar data and NWP model products together, and finally being applied to short-range forecast and nowcasting. Considering the fact that the weight of radar extrapolation and NWP model products should be adjusted because they will change with time, three solutions are offered to calculate NWP weight to blend radar extrapolation and NWP model products in a certain area. At last, RMSF method is used to verify and examine the example. After qualitative comparison with figures, the results showed: blending with equal weights and blending with sin2(at+b) as NWP weight improved radar extrapolation and NWP results. A new effective way has been discussed preliminarily. Hoping it is of reference value to short-range forecast and nowcasting in further research.

Citation Download Citation

Dandan Yang, Shuanghe Shen, and Lingling Shao "A study on blending radar and numerical weather prediction model products in very short-range forecast and nowcasting", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749828 (30 October 2009); https://doi.org/10.1117/12.832627

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