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Validation of modelled cloudiness using satellite-estimated cloud climatologies
SMHI, Research Department, Atmospheric remote sensing.ORCID iD: 0000-0001-8256-0228
1996 (English)In: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 48, no 5, 767-785 p.Article in journal (Refereed) PublishedText
Abstract [en]

A method to evaluate forecasts of total fractional cloud cover using satellite measurements is demonstrated. Cloud analyses in the form of monthly cloud climatologies are extracted from NOAA. AVHRR data which are compared to corresponding cloud forecast information from the HIRLAM and ECMWF numerical weather prediction models. The satellite-based cloud information is extracted for a summer month in 1994 and a winter month in 1995 by use of the SMHI cloud classification model SCANDIA. Cloud analyses are conducted for an area covering a substantial part of northern Europe. Deficiencies in forecasted cloud amounts are found for both models, especially the underestimation of cloudiness for short forecast lengths with the HIRLAM model. Forecast improvements using the HIRLAM model are indicated when introducing a cloud initialisation technique using cloud fields from initial 6-hour forecasts (first-guess fields). Future systematic validations using this technique are, however, needed to make firm conclusions on the general model behaviour. SCANDIA-derived cloud information is proposed as a valuable complement to other datasets used for cloud forecast validation (e.g., the SSM/I- and ISCCP data sets).

Place, publisher, year, edition, pages
1996. Vol. 48, no 5, 767-785 p.
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
URN: urn:nbn:se:smhi:diva-1631DOI: 10.1034/j.1600-0870.1996.t01-1-00015.xISI: A1996VV42600015OAI: diva2:897597
1st Study Conference on BALTEX, AUG 28-SEP 01, 1995, VISBY, SWEDEN
Available from: 2016-01-26 Created: 2015-12-22 Last updated: 2016-11-22Bibliographically approved

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