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Statistics / Science / Estimation theory / Hydrology / Quantitative precipitation forecast / Ensemble forecasting / Forecasting / Weather forecasting / Forecast error / Statistical forecasting / Prediction / Weather prediction


Verifying Forecasts Spatially by Eric Gilleland, David A. Ahijevych, Barbara G. Brown, and Elizabeth E. Ebert An international project tests new spatial forecast verification methods to find out how they
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Document Date: 2010-11-14 22:16:36


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File Size: 1,23 MB

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City

Roberts / Melbourne / Boulder / Long Beach / /

Company

Wiley and Sons / N. I. Fox S. A. / Research Applications Laboratory / Resolution Limited / /

Country

United States / China / /

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Event

Product Issues / /

Facility

Finnish Meteorological Institute / /

IndustryTerm

large-scale frontal systems / events-oriented verification system using data mining / weather systems / maximum search distance / statistical computing / verification software / hierarchical stepping algorithm / large storm systems / /

Organization

U.S. Air Force Weather Agency / Centre for Australian Weather and Climate Research / Foundation for Statistical Computing / Bureau of Meteorology / Finnish Meteorological Institute / National Oceanic and Atmospheric Administration / American Meteorological Society AMERICAN METEOROLOGICAL SOCIETY / Met Office / AMERICAN METEOROLOGICAL SOCIETY / /

Person

Z. Liu / David A. Ahijevych / Craig / Barbara G. Brown / J. A. Weinman / V / Elizabeth E. Ebert / Eric Gilleland / W. A. Gallus Jr. / Hoffman / Mike Baldwin / Keil / /

Position

R. N. / representative / Corresponding author / /

Product

Weather Testbeds / /

ProvinceOrState

Texas / New Mexico / California / Colorado / Victoria / /

PublishedMedium

Atmospheric Research / /

Region

southeastern United States / /

Technology

hierarchical stepping algorithm / data mining / image processing / /

URL

www.dtcenter.org / www.ral.ucar / http /

SocialTag