The Model Evaluation Tools (MET): More than a Decade of Community-Supported Forecast Verification

Author:

Brown Barbara1,Jensen Tara1,Gotway John Halley1,Bullock Randy1,Gilleland Eric1,Fowler Tressa1,Newman Kathryn1,Adriaansen Dan1,Blank Lindsay1,Burek Tatiana1,Harrold Michelle1,Hertneky Tracy1,Kalb Christina1,Kucera Paul1,Nance Louisa1,Opatz John1,Vigh Jonathan1,Wolff Jamie1

Affiliation:

1. Research Applications Laboratory, National Center for Atmospheric Research, Boulder, Colorado

Abstract

AbstractForecast verification and evaluation is a critical aspect of forecast development and improvement, day-to-day forecasting, and the interpretation and application of forecasts. In recent decades, the verification field has rapidly matured, and many new approaches have been developed. However, until recently, a stable set of modern tools to undertake this important component of forecasting has not been available. The Model Evaluation Tools (MET) was conceived and implemented to fill this gap. MET (https://dtcenter.org/community-code/model-evaluation-tools-met) was developed by the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (NOAA), and the U.S. Air Force (USAF) and is supported via the Developmental Testbed Center (DTC) and collaborations with operational and research organizations. MET incorporates traditional verification methods, as well as modern verification capabilities developed over the last two decades. MET stands apart from other verification packages due to its inclusion of innovative spatial methods, statistical inference tools, and a wide range of approaches to address the needs of individual users, coupled with strong community engagement and support. In addition, MET is freely available, which ensures that consistent modern verification capabilities can be applied by researchers and operational forecasting practitioners, enabling the use of consistent and scientifically meaningful methods by all users. This article describes MET and the expansion of MET to an umbrella package (METplus) that includes a database and display system and Python wrappers to facilitate the wide use of MET. Examples of MET applications illustrate some of the many ways that the package can be used to evaluate forecasts in a meaningful way.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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