Accession Number:

ADA279944

Title:

Prediction of Global Cloud Cover with a Very High Resolution Global Spectral Model.

Descriptive Note:

Final rept. 15 Nov 90-14 Feb 94,

Corporate Author:

FLORIDA STATE UNIV TALLAHASSEE DEPT OFMETEOROLOGY

Personal Author(s):

• Krishnamurti, T. N.

Report Date:

1994-05-03

Pagination or Media Count:

116.0

Abstract:

The completed research is in the area of cloud prediction with a high resolution global model. We have extended our studies on the handling of implicit clouds i.e. clouds specified as a function of prevailing humidity. We have also examined this problem in the context of rainfall initialization called physical initialization. We demonstrate a strong positive impact on cloud forecasts from such an initialization. We have also made a start on the problem of explicit cloud forecasts using cloud water mixing ratio and cloud fractions as basic forecast variables. Our preliminary results, described in the final report, are very encouraging. Mannoji 1994 has in fact noted a slight superiority of the explicit over the implicit scheme. That work was performed using a low resolution global model. Further work on the improvement of the explicit scheme at higher resolution is required. Cloud prediction, Global modelling of clouds.

Descriptors:

• *CLOUD COVER
• FUNCTIONS
• CLOUDS
• RATIOS
• GLOBAL
• IMPACT
• PREDICTIONS
• MODELS
• WATER
• HUMIDITY
• LOW RESOLUTION
• FORECASTING
• HIGH RESOLUTION
• VARIABLES
• MIXING
• WORK
• RAINFALL
• HANDLING

Subject Categories:

• Meteorology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE