Further Evaluation of the National Meterological Center's Medium-Range Forecast Model Precpitation Forecasts

John O. Roads Climate Research Division, Scripps Institution of Oceanography, University of California-San Diego, La Jolla, California

Search for other papers by John O. Roads in
Current site
Google Scholar
PubMed
Close
,
T. Norman Maisal National Weather Service/NMC, National Oceanic and Atmospheric Administration, Silver Spring, Maryland

Search for other papers by T. Norman Maisal in
Current site
Google Scholar
PubMed
Close
, and
Jordan Alpert National Weather Service/NMC, National Oceanic and Atmospheric Administration, Silver Spring, Maryland

Search for other papers by Jordan Alpert in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Precipitation forecasts made by the National Meteorological Center's medium-range forecast (MRF) model are evaluated for the period, 1 March 1987 to 31 March 1989. As shown by Roads and Maisel, the MRF model wet bias was substantially alleviated during this period. As is shown here, the MRF model forecast skill in predicting individual wet and dry events has also increased. We show that there is substantial skill in the model forecasts of precipitation occurrences beyond 2.5 days. These MRF model forecasts have not yet been fully exploited by the forecasting community, in part, because they have not been readily available.

Abstract

Precipitation forecasts made by the National Meteorological Center's medium-range forecast (MRF) model are evaluated for the period, 1 March 1987 to 31 March 1989. As shown by Roads and Maisel, the MRF model wet bias was substantially alleviated during this period. As is shown here, the MRF model forecast skill in predicting individual wet and dry events has also increased. We show that there is substantial skill in the model forecasts of precipitation occurrences beyond 2.5 days. These MRF model forecasts have not yet been fully exploited by the forecasting community, in part, because they have not been readily available.

Save