The implementation of reverse Kessler warm rain scheme for radar reflectivity assimilation using a nudging approach in New Zealand

Zhang, Sijin; Austin, G. L.; Sutherland-Stacey, L.

doi:10.1007/s13143-014-0017-6

Cited by 2 publications

(1 citation statement)

References 42 publications

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“…There have been substantial improvements in NWP forecasts since the 1990's, arising from improved data assimilation and better observations (e.g., Barker et al, 2004;Snyder and Zhang, 2003;Huang et al, 2009;Sun et al, 2010;Xiao et al, 2007;Zhang et al, 2014). For example, as one of the most used global models at the Meteorological Service of New Zealand (MetService), the Global Forecasting System (GFS) from the National Centers for Environmental Prediction (NCEP) has shown noticeable improvements, including in QPF (e.g., Wang et al, 2013), after the introduction of the hybrid ensemble variational assimilation scheme in 2012.…”

Section: Introductionmentioning

confidence: 99%

RainCast: A Rapid Update Rainfall Forecasting System for New Zealand

Zhang¹,

Barrow²,

Soltanzadeh³

et al. 2021

Preprint

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RainCast is a rapid update forecasting system that has been developed to improve short-range rainfall forecasting in New Zealand. This system blends extrapolated nowcast information with multiple forecasts from numerical weather prediction (NWP) models to generate updated rain forecasts every hour. It is demonstrated that RainCast is able to outperform the rainfall forecasts produced from NWP systems out to 24 hours, with the greatest improvement in the first 3-4 hours. The limitations of RainCast are also discussed, along with recommendations on how to further improve the system.

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