Traditionally, the nowcasting of precipitation was conducted to a large extent by means of extrapolation of observations, especially of radar ref lectivity. In recent years, the blending of traditional extrapolation-based techniques with high-resolution numerical weather prediction (NWP) is gaining popularity in the nowcasting community. The increased need of NWP products in nowcasting applications poses great challenges to the NWP community because the nowcasting application of high-resolution NWP has higher requirements on the quality and content of the initial conditions compared to longer-range NWP. Considerable progress has been made in the use of NWP for nowcasting thanks to the increase in computational resources, advancement of high-resolution data assimilation techniques, and improvement of convective-permitting numerical modeling. This paper summarizes the recent progress and discusses some of the challenges for future advancement.
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Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges
Juanzhen Sun
Juanzhen Sun
National Center for Atmospheric Research, Boulder, Colorado
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Ming Xue
Ming Xue
Center for Analysis and Prediction of Storms, and School of Meteorology, University of Oklahoma, Norman, Oklahoma
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James W. Wilson
James W. Wilson
National Center for Atmospheric Research, Boulder, Colorado
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Isztar Zawadzki
Isztar Zawadzki
Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Quebec, Canada
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Sue P. Ballard
Sue P. Ballard
Met Office, University of Reading, Reading, United Kingdom
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Jeanette Onvlee-Hooimeyer
Jeanette Onvlee-Hooimeyer
Royal Netherlands Meteorological Institute, De Bilt, Netherlands
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Traditionally, the nowcasting of precipitation was conducted to a large extent by means of extrapolation of observations, especially of radar ref lectivity. In recent years, the blending of traditional extrapolation-based techniques with high-resolution numerical weather prediction (NWP) is gaining popularity in the nowcasting community. The increased need of NWP products in nowcasting applications poses great challenges to the NWP community because the nowcasting application of high-resolution NWP has higher requirements on the quality and content of the initial conditions compared to longer-range NWP. Considerable progress has been made in the use of NWP for nowcasting thanks to the increase in computational resources, advancement of high-resolution data assimilation techniques, and improvement of convective-permitting numerical modeling. This paper summarizes the recent progress and discusses some of the challenges for future advancement.
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