Homogeneity Analysis of the CM SAF Surface Solar Irradiance Dataset Derived from Geostationary Satellite Observations

Remote Sensing

Sven Brinckmann²  Jörg Trentmann¹ 

[1] Climate Monitoring, Deutscher Wetterdienst, Frankfurter Strasse 135, D-63067 Offenbach, Germany; E-Mail:;Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Altenhöferallee 1, D-60438 Frankfurt, Germany; E-Mail:

关键词: surface solar irradiance;    satellite-derived;    homogeneity;    break detection;   

DOI  :  10.3390/rs6010352

来源: mdpi

【 摘 要 】

A satellite-based climate record of monthly mean surface solar irradiance (SIS) is investigated with regard to possible inhomogeneities in time. The data record is provided by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility on Climate Monitoring (CM SAF) for the period of 1983 to 2005, covering a disk area between ±70° in latitude and longitude. The Standard Normal Homogeneity Test (SNHT) and two other homogeneity tests are applied with and without the use of reference SIS data (from the Baseline Surface Radiation Network (BSRN) and from the ECMWF (European Centre for Medium-Range Weather Forecasts) ERA -Interim reanalysis. The focus is on the detection of break-like inhomogeneities, which may occur due to satellite or SIS retrieval algorithm changes. In comparison with the few suitable BSRN SIS observation series with limited extension in time (no data before 1992), the CM SAF SIS time series do not show significant inhomogeneities, even though slight discrepancies in the surface measurements appear. The investigation of the full CM SAF SIS domain reveal inhomogeneities related to most of the documented satellite and retrieval changes, but only for relatively small domain fractions (especially in mountainous desert-like areas in Africa). In these regions the retrieval algorithm is not capable of adjusting for the changes of the satellite instruments. For other areas, e.g., Europe, no such breaks in the time series are found. We conclude that the CM SAF SIS data record has to be further assessed and regionally homogenized before climate trend investigations can be conducted.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland