The Model Evaluation Tools (MET) Update

Tressa L. Fowler; John Halley Gotway; Randy Bullock; Tara Jensen; Barbara Brown; Kathryn Newman; Nancy Rehak; Julie Prestopnik

The Model Evaluation Tools (MET) Update

Tressa L. Fowler
, John Halley Gotway
, Randy Bullock
, Tara Jensen
, Barbara Brown
, Kathryn Newman
, Nancy Rehak
, Julie Prestopnik

Weather Intelligence & Security Program

Research output: Abstract › Paper

Abstract

Model Evaluation Tools (MET) is a freely-available software package for forecast verification. It is distributed through the Developmental Testbed Center (DTC) for testing and evaluation of the Weather Research and Forecasting (WRF) model. Development has been led by the community: including WRF users, the DTC, and verification experts through workshops and user meetings. MET allows users to verify forecasts via traditional, neighborhood, and object-based methods. To account for the uncertainty associated with these measures, methods for estimating confidence intervals for the verification statistics are an integral part of MET.

The latest release includes many new capabilities including handling for GRIB2, MODIS, MADIS, little r, and SURFRAD data. Ensemble handling capabilities have been extended. A whole new set of tools is available for tropical cyclone verification. Examples of the existing and new verification capabilities will be shown.

Original language	American English
State	Published - Feb 1 2014

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https://ui.adsabs.harvard.edu/abs/2014AMS....9439503F

Cite this

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title = "The Model Evaluation Tools (MET) Update",

abstract = "Model Evaluation Tools (MET) is a freely-available software package for forecast verification. It is distributed through the Developmental Testbed Center (DTC) for testing and evaluation of the Weather Research and Forecasting (WRF) model. Development has been led by the community: including WRF users, the DTC, and verification experts through workshops and user meetings. MET allows users to verify forecasts via traditional, neighborhood, and object-based methods. To account for the uncertainty associated with these measures, methods for estimating confidence intervals for the verification statistics are an integral part of MET. The latest release includes many new capabilities including handling for GRIB2, MODIS, MADIS, little r, and SURFRAD data. Ensemble handling capabilities have been extended. A whole new set of tools is available for tropical cyclone verification. Examples of the existing and new verification capabilities will be shown.",

author = "Fowler, \{Tressa L.\} and Gotway, \{John Halley\} and Randy Bullock and Tara Jensen and Barbara Brown and Kathryn Newman and Nancy Rehak and Julie Prestopnik",

year = "2014",

month = feb,

day = "1",

language = "American English",

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TY - CONF

T1 - The Model Evaluation Tools (MET) Update

AU - Fowler, Tressa L.

AU - Gotway, John Halley

AU - Bullock, Randy

AU - Jensen, Tara

AU - Brown, Barbara

AU - Newman, Kathryn

AU - Rehak, Nancy

AU - Prestopnik, Julie

PY - 2014/2/1

Y1 - 2014/2/1

N2 - Model Evaluation Tools (MET) is a freely-available software package for forecast verification. It is distributed through the Developmental Testbed Center (DTC) for testing and evaluation of the Weather Research and Forecasting (WRF) model. Development has been led by the community: including WRF users, the DTC, and verification experts through workshops and user meetings. MET allows users to verify forecasts via traditional, neighborhood, and object-based methods. To account for the uncertainty associated with these measures, methods for estimating confidence intervals for the verification statistics are an integral part of MET. The latest release includes many new capabilities including handling for GRIB2, MODIS, MADIS, little r, and SURFRAD data. Ensemble handling capabilities have been extended. A whole new set of tools is available for tropical cyclone verification. Examples of the existing and new verification capabilities will be shown.

AB - Model Evaluation Tools (MET) is a freely-available software package for forecast verification. It is distributed through the Developmental Testbed Center (DTC) for testing and evaluation of the Weather Research and Forecasting (WRF) model. Development has been led by the community: including WRF users, the DTC, and verification experts through workshops and user meetings. MET allows users to verify forecasts via traditional, neighborhood, and object-based methods. To account for the uncertainty associated with these measures, methods for estimating confidence intervals for the verification statistics are an integral part of MET. The latest release includes many new capabilities including handling for GRIB2, MODIS, MADIS, little r, and SURFRAD data. Ensemble handling capabilities have been extended. A whole new set of tools is available for tropical cyclone verification. Examples of the existing and new verification capabilities will be shown.

M3 - Paper

ER -

The Model Evaluation Tools (MET) Update

Abstract

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