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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 10
Atmos. Meas. Tech., 8, 4561–4571, 2015
https://doi.org/10.5194/amt-8-4561-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 8, 4561–4571, 2015
https://doi.org/10.5194/amt-8-4561-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 30 Oct 2015

Research article | 30 Oct 2015

Quality assessment and improvement of the EUMETSAT Meteosat Surface Albedo Climate Data Record

A. Lattanzio1, F. Fell2, R. Bennartz3, I. F. Trigo4, and J. Schulz1 A. Lattanzio et al.
  • 1EUMETSAT, Darmstadt, Germany
  • 2Informus GmbH, Berlin, Germany
  • 3University of Wisconsin-Madison, Space Science and Engineering Center, Madison, USA
  • 4Instituto Portugues do Mar e da Atmosfera (IPMA), Lisbon, Portugal

Abstract. Surface albedo has been identified as an important parameter for understanding and quantifying the Earth's radiation budget. EUMETSAT generated the Meteosat Surface Albedo (MSA) Climate Data Record (CDR) currently comprising up to 24 years (1982–2006) of continuous surface albedo coverage for large areas of the Earth. This CDR has been created within the Sustained, Coordinated Processing of Environmental Satellite Data for Climate Monitoring (SCOPE-CM) framework. The long-term consistency of the MSA CDR is high and meets the Global Climate Observing System (GCOS) stability requirements for desert reference sites. The limitation in quality due to non-removed clouds by the embedded cloud screening procedure is the most relevant weakness in the retrieval process. A twofold strategy is applied to efficiently improve the cloud detection and removal. The first step consists of the application of a robust and reliable cloud mask, taking advantage of the information contained in the measurements of the infrared and visible bands. Due to the limited information available from old radiometers, some clouds can still remain undetected. A second step relies on a post-processing analysis of the albedo seasonal variation together with the usage of a background albedo map in order to detect and screen out such outliers. The usage of a reliable cloud mask has a double effect. It enhances the number of high-quality retrievals for tropical forest areas sensed under low view angles and removes the most frequently unrealistic retrievals on similar surfaces sensed under high view angles. As expected, the usage of a cloud mask has a negligible impact on desert areas where clear conditions dominate. The exploitation of the albedo seasonal variation for cloud removal has good potentialities but it needs to be carefully addressed. Nevertheless it is shown that the inclusion of cloud masking and removal strategy is a key point for the generation of the next MSA CDR release.

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EUMETSAT has generated a surface albedo data set climate data record, spanning over more than 2 decades, from measurements acquired by Meteosat First Generation satellites. EUMETSAT coordinated a study for the validation of such a data record. In the validation report, the full set of results, including comparison with in situ measurements and satellites, was presented. A method of increasing the quality of the data set, removing cloud-contaminated pixels, is presented.
EUMETSAT has generated a surface albedo data set climate data record, spanning over more than 2...
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