Cloud climate investigations in Scandinavia during the last decade using high-resolution NOAA AVHRR data
Karl-Göran Karlsson and Adam Dybbroe
Swedish Meteorological and Hydrological Institute (SMHI)
SE-601 76 Norrköping, Sweden
Abstract
A ten-year cloud climatology with a horizontal resolution of four km has been compiled over the Scandinavian region based on results from near real-time cloud classifications of the SMHI SCANDIA model (Karlsson, 1996, 1997). The following specific features of the cloud climate (in addition to ten-year monthly means of total cloud cover) have been studied:
- Frequency and geographic distribution of the three cloud groups Low-, Medium- and High-level clouds.
- Frequency and distribution of water and ice clouds
- Frequency distribution of deep convective clouds
- Typical cloud patterns in various weather regimes (e.g., North Atlantic Oscillation phases)
The quality of the satellite-based cloud information was examined by comparing with corresponding surface-observations given by SYNOP-based cloud climatologies for the same period. Comparions have also been made with other available cloud climate datasets (e.g., the SYNOP-based CRU dataset and the cloud climatologies from the ISCCP C2 and D2 series ).
Results from a recently improved cloud classification scheme (Dybbroe et al., 2000) will also be shown for a larger European region covering a large part of northern Europe (i.e., the Baltic Sea drainage area). These results are used within the BALTEX project, a project in the GEWEX programme for studies of the water and energy cycle of the Baltic Sea.
References
Dybbroe, A., Thoss, A. and Karlsson, K.-G., 2000: The AVHRR & AMSU products of the Nowcasting SAF, Proc. 2000 EUMETSAT Meteorological Satellite Data Users’ Conference, Bologna, Italy, 29 May–2 June 2000, EUMETSAT, EUM P 29,729-736.
Karlsson, K.-G., 1996: Cloud classifications with the SCANDIA model, SMHI Reports on Meteorology and Climatology, No. 67, 36 pp.
Karlsson, K.-G., 1997: Cloud climate investigations in the Nordic region using NOAA AVHRR data, Theor. Appl. Climatol., 57, 181-195.
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