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Abstract
The International Verification Methods Workshop was held online in November 2020 and included sessions on physical error characterization using process diagnostics and error tracking techniques; exploitation of data assimilation techniques in verification practices, e.g., to address representativeness issues and observation uncertainty; spatial verification methods and the Model Evaluation Tools, as unified reference verification software; and meta-verification and best practices for scores computation. The workshop reached out to diverse research communities working in the areas of high-impact weather, subseasonal to seasonal prediction, polar prediction, and sea ice and ocean prediction. This article summarizes the major outcomes of the workshop and outlines future strategic directions for verification research.
Abstract
The International Verification Methods Workshop was held online in November 2020 and included sessions on physical error characterization using process diagnostics and error tracking techniques; exploitation of data assimilation techniques in verification practices, e.g., to address representativeness issues and observation uncertainty; spatial verification methods and the Model Evaluation Tools, as unified reference verification software; and meta-verification and best practices for scores computation. The workshop reached out to diverse research communities working in the areas of high-impact weather, subseasonal to seasonal prediction, polar prediction, and sea ice and ocean prediction. This article summarizes the major outcomes of the workshop and outlines future strategic directions for verification research.
