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A new view of forecast skill: bounding boxes from the DEMETER ensemble seasonal forecasts

Weisheimer, Antje, Smith, Leonard A. and Judd, Kevin (2005) A new view of forecast skill: bounding boxes from the DEMETER ensemble seasonal forecasts. Tellus Series A: Dynamic Meteorology and Oceanography, 57 (3). pp. 265-279. ISSN 0280-6495

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Identification Number: 10.1111/j.1600-0870.2005.00106.x


Insight into the likely weather several months in advance would be of great economic and societal value. The DEMETER project has made coordinated multi-model, multi-initial-condition simulations of the global weather as observed over the last 40 years; transforming these model simulations into forecasts is non-trivial. One approach is to extract merely a single forecast (e.g. best-first-guess) designed to minimize some measure of forecast error. A second approach would be to construct a full probability forecast. This paper explores a third option, namely to see how often this collection of simulations can be said to capture the target value, in the sense that the target lies within the bounding box of the forecasts. The DEMETER forecast system is shown to often capture the 2-m temperature target in this sense over continental areas at lead times up to six months. The target is captured over 95% of the time at over a third of the grid points and maintains a bounding box range less than that of the local climatology. Such information is of immediate value from a user's perspective. Implications for the minimum ensemble size as well as open foundational issues in translating a set of multi-model multi-initial-condition simulations into a forecast are discussed; in particular, those involving 'bias correction' are considered.

Item Type: Article
Official URL:
Additional Information: © Blackwell Munksgaard 2005
Divisions: Centre for Analysis of Time Series
Subjects: Q Science > Q Science (General)
Date Deposited: 29 Sep 2008 13:45
Last Modified: 20 Sep 2021 01:59

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