Assessing the spatial and temporal variation in the skill of precipitation forecasts from an NWP model

Meteorological Applications - Tập 15 Số 1 - Trang 163-169 - 2008
Nigel Roberts1
1Met Office, Joint Centre for Mesoscale Meteorology, Meteorology Building, University of Reading, Earley Gate, Reading, Berkshire, RG6 6BB, UK

Tóm tắt

AbstractIt is becoming increasingly important to be able to verify the spatial accuracy of precipitation forecasts, especially with the advent of high‐resolution numerical weather prediction (NWP) models. In this article, the fractions skill score (FSS) approach has been used to perform a scale‐selective evaluation of precipitation forecasts during 2003 from the Met Office mesoscale model (12 km grid length). The investigation shows how skill varies with spatial scale, the scales over which the data assimilation (DA) adds most skill, and how the loss of that skill is dependent on both the spatial scale and the rainfall coverage being examined. Although these results come from a specific model, they demonstrate how this verification approach can provide a quantitative assessment of the spatial behaviour of new finer‐resolution models and DA techniques. Copyright © 2008 Royal Meteorological Society

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Thông tin xuất bản

Meteorological Applications

Tập 15 Số 1

163-169

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