The DTC Ensembles Task: A New Testing and Evaluation Facility for Mesoscale Ensembles

The DTC Ensembles Task A New Testing and Evaluation Facility for Mesoscale Ensembles

[...]the DET exists to facilitate the transfer of research results to operations in cloud-scale and mesoscale ensemble prediction. Modules to be included in the infrastructure are: * Ensemble configuration-Encodes the characteristics that define ensemble members and their horizontal and vertical res...

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Bibliographic Details
Published in:Bulletin of the American Meteorological Society Vol. 94; no. 3; pp. 321 - 327
Main Authors: Tollerud, Edward I., Etherton, Brian, Toth, Zoltan, Jankov, Isidora, Jensen, Tara L., Yuan, Huiling, Wharton, Linda S., McCaslin, Paula T., Mirvis, Eugene, Kuo, Bill, Brown, Barbara G., Nance, Louisa, Koch, Steven E., Eckel, F. Anthony
Format: Journal Article
Language:English
Published: Boston American Meteorological Society 01-03-2013
Subjects:
Climatology
Codes
Communities
Forecasting models
IN BOX INSIGHTS and INNOVATIONS
Infrastructure
Joint ventures
Meteorology
Modeling
Numerical weather forecasting
Probability forecasts
R&D
Research & development
Research facilities
Statistical weather forecasting
Weather
Weather forecasting
United States > US
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Summary:[...]the DET exists to facilitate the transfer of research results to operations in cloud-scale and mesoscale ensemble prediction. Modules to be included in the infrastructure are: * Ensemble configuration-Encodes the characteristics that define ensemble members and their horizontal and vertical resolutions, such that different models and/or different configurations of the same model can be included. * Initial perturbations-Provides the ability to represent uncertainty in initial conditions based on a variety of techniques. * Model perturbations-Provides the ability to represent model-related uncertainty based on a variety of techniques. * Statistical postprocessing-Provides the ability to specify techniques for fusing information from ensemble and high-resolution control forecasts, climatology, and other sources such as the latest set of observations; to bias-correct or calibrate forecast distributions; and to statistically downscale information to user-relevant variables. * Product generation-Provides the ability to specify techniques for deriving information from the ensemble, generating probabilistic products, providing decision-support services, etc. * Verification-Provides the ability to specify techniques to be used to evaluate ensemble and derived probabilistic forecasts.
ISSN:0003-0007
1520-0477
DOI:10.1175/BAMS-D-11-00209.1