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About the ICP

Recent advancements in weather forecasting and observational systems have created great improvements in resolution and prediction. However, use of standard verification practices often indicate poorer performance because, among other things, they are unable to account for small-scale noise or discriminate types of errors such as displacement in time and/or space (see papers in the references section). This issue has motivated recent research and development of many new verification techniques for handling spatial forecasts. The intent of this project is to compare the various newly proposed methods to give the user information about which methods are appropriate for which types of data, forecasts and desired forecast utility.

Research Lead: Eric Gilleland

News

Version 2.0 of MET -- Model Evaluation Tools has been released! The software is designed to "be a highly-configurable, state-of-the-art suite of verification tools." The pacakge includes new spatial forecast verification methods, such as IS, MODE, and some neighborhood methods. Other methods are being added as well.

New and soon to be published papers on spatial forecast verification

A special collection of papers to Weather and Forecasting is being prepared. The first papers in the collection will be appearing soon. Click here for more information.

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^*Any information collected is used solely to determine the legitimacy of subscription requests (e.g., to protect against spam). Email addresses are added to a controlled list (only subscribers may send messages). The list is intended primarily for participants in the ICP, but others wishing to keep updated on the progress of the project may also subscribe. If you have any trouble subscribing (or unsubscribing) contact the webmaster (Eric Gilleland).