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Quality Assessment and Improvement of the Eumetsat Meteosat Surface Albedo Climate Data Record : Volume 8, Issue 7 (23/07/2015)

By Lattanzio, A.

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Book Id: WPLBN0004000539
Format Type: PDF Article :
File Size: Pages 37
Reproduction Date: 2015

Title: Quality Assessment and Improvement of the Eumetsat Meteosat Surface Albedo Climate Data Record : Volume 8, Issue 7 (23/07/2015)  
Author: Lattanzio, A.
Volume: Vol. 8, Issue 7
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Lattanzio, A., Schulz, J., Bennartz, R., Fell, F., & Trigo, I. F. (2015). Quality Assessment and Improvement of the Eumetsat Meteosat Surface Albedo Climate Data Record : Volume 8, Issue 7 (23/07/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: EUMETSAT, Darmstadt, Germany. 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 and 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. A first step consists on 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.

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

Excerpt
Cescatti, A., Marcolla, B., Vannan, S. K. S., Pan, J. Y., Roman, M. O., Yang, X., Ciais, P., Cook, R. B., Law, B. E., Matteucci, G., Migliavacca, M., Moors, E., Richardson, A. D., Seufert, G., and Schaaf, C. B.: Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network, Remote Sens. Environ. 121, 323–334, 2012.; EUMETSAT: Meteosat First Generation User Handbook, available at: http://www.eumetsat.int/website/home/Data/TechnicalDocuments/index.html?lang=EN, (last access: July 2015), 40 pp., 2011.; Hansen, J., Sato, M., and Ruedy, R.: Radiative forcing and climate response. J. Geophys. Res., 102, 6831–6864, 1997.; Henderson-Sellers, A. and Wilson, M. F.: Surface albedo data for climatic modelling, Rev. Geophys. Space Ge., 21, 1743–1778, 1983.; Fang, H., Liang, S., Kim, H.-Y., Townshend, J. R., Schaaf, C. L., Strahler, A. H., and Dickinson, R. E.: Developing a spatially continuous 1 km surface albedo data set over North America from Terra MODIS products, J. Geophys. Res., 112, D20206, doi:10.1029/2006JD008377, 2007.; Fell, F., Bennartz, R., Cahill, B., Lattanzio, A., Muller, J.-P., Schulz, J., Shane, N., Trigo, I., and Watson, G.: Evaluation of the Meteosat Surface Albedo Climate Data Record (ALBEDOVAL), Final Report, 119 pp., available at: http://www.eumetsat.int/website/home/Data/ClimateService/index.html (last access: July 2015), 2012.; Fontana, F.: Evaluation of a probabilistic cloud masking algorithm for climate data record processing: Sparc: a new scene identification algorithm for msg seviri, Visiting Scientist Report 14, EUMETSAT Satellite Application Facility on Climate Monitoring, 2010.; Forster, P., Ramaswamy, V., Artaxo, P., Berntsen, T., Betts, R., Fahey, D. W., Haywood, J., Lean , J., Lowe, D. C., Myhre, G., Nganga , J., Prinn, R., Raga, G., Schulz, M., and Van Dorland, R.: Changes in atmospheric constituents and in radiative forcing, in: Climate Change, The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Solomon, S. et al., Cambridge Univ. Press, Cambridge, UK, 2007.; Geiger, B., Carrer, D., Franchistéguy L., Roujean, J. L., and Meurey, C.: Land surface Albedo derived on a daily basis from Meteosat second generation observations, IEEE T. Geosci. Remote, 46, 3841–3856, 2008.; GCOS: GCOS-138 Implementation Plan for the Global Observing System for Climate in Support of the UNFCCC, GCOS-138, 180 pp., 2010.; GCOS: GCOS-154 Systematic Observation Requirements for Satellite-based Products for Climate Supplemental details to the satellite-based component of the Implementation Plan for the Global Observing System for Climate in Support of the UNFCCC – 2011 Update, WMO, Geneva, Switzerland, 2011.; Govaerts, Y. M. and Lattanzio, A.: Retrieval error estimation of surface albedo derived from geostationary large band satellite observations: application to Meteosat-2 and -7 data. J. Geophys. Res., 112, D05102, doi:10.1029/2006JD007313, 2007.; Govaerts, Y. M. and Lattanzio, A.: Estimation of surface albedo increase during the eighties Sahel drought from Meteosat observations, Global Planet. Change, 64, 139–145, doi:10.1016/j.gloplacha.2008.04.004, 2008.; Govaerts, Y. M., Lattanzio, A., Taberner, M., and Pinty, B.: Generating global surface albedo products from multiple geostationary satellites, Remote Sens. Environ., 112, 2804–2816, 2008.; Holben, B. N., Eck, T. F., Slutsker, I., Tanre, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y., Nakajima, T., Laven

 

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