2009Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

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

Yang Dandan, Shuanghe Shen, Lingling Shao

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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.

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What this paper is about

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.

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Available 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.

Key concepts: Nowcasting, Extrapolation, Numerical weather prediction, Radar, Meteorology, Range (aeronautics), Remote sensing, Environmental science

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