Article Type:
Research Article

Implementation of the Cloud Prediction Scheme in the Eta Model at NCEP

Qingyun Zhao General Sciences Corporation/National Centers for Environmental Prediction, NWS/NOAA, Camp Springs, Maryland

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Thomas L. Black National Centers for Environmental Prediction, NWS/NOAA, Washington D.C.

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Michael E. Baldwin General Sciences Corporation/National Centers for Environmental Prediction, NWS/NOAA, Camp Springs, Maryland

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Print Publication:
01 Sep 1997
DOI:
https://doi.org/10.1175/1520-0434(1997)012<0697:IOTCPS>2.0.CO;2
Page(s):
697–712
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Abstract

An explicit cloud prediction scheme has been developed and incorporated into the Eta Model at the National Centers for Environmental Prediction (NCEP) to improve the cloud and precipitation forecasts. In this scheme, the cloud liquid water and cloud ice are explicitly predicted by adding only one prognostic equation of cloud mixing ratio to the model. Precipitation of rain and snow in this scheme is diagnostically calculated from the predicted cloud fields. The model-predicted clouds are also used in the model’s radiation calculations. Results from the parallel tests performed at NCEP show improvements in precipitation forecasts when prognostic cloud water is included. Compared with the diagnostic clouds, the model-predicted clouds are more accurate in both amount and position. Improvements in specific humidity forecasts have also been found, especially near the surface and above the freezing level.

Corresponding author address: Dr. Qingyun Zhao, NOAA Science Center, Rm. 204, 5200 Auth Road, Camp Springs, MD 20746.

Email: wd20cl@next4.wwb.noaa.gov

Abstract

An explicit cloud prediction scheme has been developed and incorporated into the Eta Model at the National Centers for Environmental Prediction (NCEP) to improve the cloud and precipitation forecasts. In this scheme, the cloud liquid water and cloud ice are explicitly predicted by adding only one prognostic equation of cloud mixing ratio to the model. Precipitation of rain and snow in this scheme is diagnostically calculated from the predicted cloud fields. The model-predicted clouds are also used in the model’s radiation calculations. Results from the parallel tests performed at NCEP show improvements in precipitation forecasts when prognostic cloud water is included. Compared with the diagnostic clouds, the model-predicted clouds are more accurate in both amount and position. Improvements in specific humidity forecasts have also been found, especially near the surface and above the freezing level.

Corresponding author address: Dr. Qingyun Zhao, NOAA Science Center, Rm. 204, 5200 Auth Road, Camp Springs, MD 20746.

Email: wd20cl@next4.wwb.noaa.gov

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