Computer Science – Performance
Scientific paper
Sep 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3222s09p&link_type=abstract
Geophysical Research Letters, Volume 32, Issue 22, CiteID L22S09
Computer Science
Performance
9
Atmospheric Processes: Clouds And Aerosols, Atmospheric Processes: General Circulation (1223), Atmospheric Processes: Model Calibration (1846), Atmospheric Processes: Global Climate Models (1626, 4928), Atmospheric Processes: Remote Sensing
Scientific paper
Satellite lidar (LIght Detection And Ranging) data from GLAS is used to ascertain the performance of the European Center for Medium Range Weather Forecasts model predictions of cloud fraction, cloud vertical distribution, and boundary layer height. Results show that the model is reasonably accurate for low and middle clouds, but often misses the location and amount of high cirrus clouds. The model tends to overestimate high cloud fraction and this error grows with forecast length. The GLAS-derived boundary layer height over the oceans is generally 200-400 m higher than the model predictions, but small-scale and global patterns of PBL height show similar features.
Benedetti Angela
Palm Stephen P.
Spinhirne James
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