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

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 Cli...

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Main Authors: Sven Brinckmann, Jörg Trentmann, Bodo Ahrens
Format: Article
Language:English
Published: MDPI AG 2013-12-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/6/1/352
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author Sven Brinckmann
Jörg Trentmann
Bodo Ahrens
author_facet Sven Brinckmann
Jörg Trentmann
Bodo Ahrens
author_sort Sven Brinckmann
collection DOAJ
description 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.
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spelling doaj.art-d9e1da64dfd6456bbb062f0697f545532022-12-21T23:49:56ZengMDPI AGRemote Sensing2072-42922013-12-016135237810.3390/rs6010352rs6010352Homogeneity Analysis of the CM SAF Surface Solar Irradiance Dataset Derived from Geostationary Satellite ObservationsSven Brinckmann0Jörg Trentmann1Bodo Ahrens2Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Altenhöferallee 1, D-60438 Frankfurt, GermanyClimate Monitoring, Deutscher Wetterdienst, Frankfurter Strasse 135, D-63067 Offenbach, GermanyInstitute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Altenhöferallee 1, D-60438 Frankfurt, GermanyA 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.http://www.mdpi.com/2072-4292/6/1/352surface solar irradiancesatellite-derivedhomogeneitybreak detection
spellingShingle Sven Brinckmann
Jörg Trentmann
Bodo Ahrens
Homogeneity Analysis of the CM SAF Surface Solar Irradiance Dataset Derived from Geostationary Satellite Observations
Remote Sensing
surface solar irradiance
satellite-derived
homogeneity
break detection
title Homogeneity Analysis of the CM SAF Surface Solar Irradiance Dataset Derived from Geostationary Satellite Observations
title_full Homogeneity Analysis of the CM SAF Surface Solar Irradiance Dataset Derived from Geostationary Satellite Observations
title_fullStr Homogeneity Analysis of the CM SAF Surface Solar Irradiance Dataset Derived from Geostationary Satellite Observations
title_full_unstemmed Homogeneity Analysis of the CM SAF Surface Solar Irradiance Dataset Derived from Geostationary Satellite Observations
title_short Homogeneity Analysis of the CM SAF Surface Solar Irradiance Dataset Derived from Geostationary Satellite Observations
title_sort homogeneity analysis of the cm saf surface solar irradiance dataset derived from geostationary satellite observations
topic surface solar irradiance
satellite-derived
homogeneity
break detection
url http://www.mdpi.com/2072-4292/6/1/352
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AT jorgtrentmann homogeneityanalysisofthecmsafsurfacesolarirradiancedatasetderivedfromgeostationarysatelliteobservations
AT bodoahrens homogeneityanalysisofthecmsafsurfacesolarirradiancedatasetderivedfromgeostationarysatelliteobservations