A long‐term assessment of precipitation forecast skill using the Fractions Skill Score

作者: Marion Mittermaier , Nigel Roberts , Simon A. Thompson

DOI: 10.1002/MET.296

关键词:

摘要: The Fractions Skill Score (FSS) is a spatial verification metric routinely computed in the operational suite. It enables comparison of forecasts different resolutions against common truth (radar rainfall analyses) such way that high-resolution are not penalized for representativeness errors arise from ‘double penalty’ problem. Officially Met Office model precipitation forecast accuracy monitored using Equitable Threat (ETS) at gauge locations. These scores form part basket measures assessing six surface parameters known as UK index, which forms basis making decisions regarding upgrades (especially over UK). used to monitor impact continuous improvements. This framework and methodology underlying it, less appropriate reasons described above. For particular, new long-term monitoring necessary FSS provides potential framework. This paper an objective critique results date. has been shown ‘convection-permitting’ (4 km) Unified Model (MetUM) better than 12 km MetUM (significant 5% level). scale models have sufficient practical skill typically 10 forecasts, forecasting afternoon convection exceeding 4 mm (6 h)−1. use frequency (percentile) thresholds recommended because implicit bias removal this approach provides, any rain period treated ‘the event interest’. © 2011 British Crown Copyright, Office. Published by John Wiley & Sons Ltd.

参考文章(18)
Elizabeth E. Ebert, Neighborhood Verification: A Strategy for Rewarding Close Forecasts Weather and Forecasting. ,vol. 24, pp. 1498- 1510 ,(2009) , 10.1175/2009WAF2222251.1
Eric Gilleland, David A. Ahijevych, Barbara G. Brown, Elizabeth E. Ebert, Verifying Forecasts Spatially Bulletin of the American Meteorological Society. ,vol. 91, pp. 1365- 1373 ,(2010) , 10.1175/2010BAMS2819.1
Michael E. Baldwin, John S. Kain, Sensitivity of Several Performance Measures to Displacement Error, Bias, and Event Frequency Weather and Forecasting. ,vol. 21, pp. 636- 648 ,(2006) , 10.1175/WAF933.1
Marion P. Mittermaier, Improving short‐range high‐resolution model precipitation forecast skill using time‐lagged ensembles Quarterly Journal of the Royal Meteorological Society. ,vol. 133, pp. 1487- 1500 ,(2007) , 10.1002/QJ.135
Nick Grahame, Bob Riddaway, Alison Eadie, Baden Hall, Ewen McCallum, Exceptional hailstorm hits Ottery St Mary on 30 October 2008 Weather. ,vol. 64, pp. 255- 263 ,(2009) , 10.1002/WEA.458
S. E. Theis, A. Hense, U. Damrath, Probabilistic precipitation forecasts from a deterministic model: a pragmatic approach Meteorological Applications. ,vol. 12, pp. 257- 268 ,(2005) , 10.1017/S1350482705001763