Performance of Met Office hourly cycling NWP-based nowcasting for precipitation forecasts

Full text not archived in this repository.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Simonin, D., Pierce, C., Roberts, N., Ballard, S. P. and Li, Z. (2017) Performance of Met Office hourly cycling NWP-based nowcasting for precipitation forecasts. Quarterly Journal of the Royal Meteorological Society, 143 (708). pp. 2862-2873. ISSN 1477-870X doi: 10.1002/qj.3136

Abstract/Summary

The Met Office developed a prototype high‐resolution, hourly‐cycling NWP forecasting system using four‐dimensional variational data assimilation, covering the southern half of England. This system was known as the Met Office Nowcasting Demonstration Project (NDP), and ran in real time from June 2012 to March 2013 (covering the period of the London 2012 Olympics and Paralympic Games). It was principally developed to assess the abilities of a frequently updated NWP‐based nowcasting system to forecast precipitation at short range such as convective storms for flood forecasting. This article provides a comprehensive assessment of the precipitation forecast skill of the NDP and its comparison against the Met Office operational nowcasting system. It was found that the NWP‐based nowcasting system becomes more skilful than an advanced extrapolation‐based nowcasting system from T + 1.5 to T + 2 h depending on weather type.

Altmetric Badge

Additional Information A corrected version of this article was published on 25/03/2018, DOI: 10.1002/qj.3226
Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/78709
Identification Number/DOI 10.1002/qj.3136
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Uncontrolled Keywords Atmospheric Science
Additional Information A corrected version of this article was published on 25/03/2018, DOI: 10.1002/qj.3226
Publisher Royal Meteorological Society
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar