Subjective Verification of Numerical Models as a Component of a Broader Interaction between Research and Operations

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Abstract
Systematic subjective verification of precipitation forecasts from two numerical models is presented and discussed. The subjective verification effort was carried out as part of the 2001 Spring Program, a seven-week collaborative experiment conducted at the NOAA/National Severe Storms Laboratory (NSSL) and the NWS/Storm Prediction Center, with participation from the NCEP/Environmental Modeling Center, the NOAA/Forecast Systems Laboratory, the Norman, Oklahoma, National Weather Service Forecast Office, and Iowa State University. This paper focuses on a comparison of the operational Eta Model and an experimental version of this model run at NSSL; results are limited to precipitation forecasts, although other models and model output fields were verified and evaluated during the program. By comparing forecaster confidence in model solutions to next-day assessments of model performance, this study yields unique information about the utility of models for human forecasters. It is shown that, when avera... Abstract Systematic subjective verification of precipitation forecasts from two numerical models is presented and discussed. The subjective verification effort was carried out as part of the 2001 Spring Program, a seven-week collaborative experiment conducted at the NOAA/National Severe Storms Laboratory (NSSL) and the NWS/Storm Prediction Center, with participation from the NCEP/Environmental Modeling Center, the NOAA/Forecast Systems Laboratory, the Norman, Oklahoma, National Weather Service Forecast Office, and Iowa State University. This paper focuses on a comparison of the operational Eta Model and an experimental version of this model run at NSSL; results are limited to precipitation forecasts, although other models and model output fields were verified and evaluated during the program. By comparing forecaster confidence in model solutions to next-day assessments of model performance, this study yields unique information about the utility of models for human forecasters. It is shown that, when avera...