Towards Multidecadal Consistent Meteosat Surface Albedo Time Series

Monitoring of land surface albedo dynamics is important for the understanding of observed climate trends. Recently developed multidecadal surface albedo data products, derived from a series of geostationary satellite data, provide the opportunity to study long term surface albedo dynamics at the regional to global scale. Reliable estimates of temporal trends in surface albedo require carefully calibrated and homogenized long term satellite data records and derived products. The present paper investigates the long term consistency of a new surface albedo product derived from Meteosat First Generation (MFG) geostationary satellites for the time period 1982-2006. The temporal consistency of the data set is characterized. The analysis of the long term homogeneity reveals some discrepancies in the time series related to uncertainties in the characterization of the sensor spectral response of some of the MFG satellites. A method to compensate for uncertainties in the current data product is proposed and evaluated.

[1]  B. Pinty,et al.  Generating Global Surface Albedo Products from Multiple Geostationary Satellites , 2008 .

[2]  Christopher G. Fletcher,et al.  Circulation responses to snow albedo feedback in climate change , 2009 .

[3]  D. Diner,et al.  Surface albedo retrieval from Meteosat: 1. Theory , 2000 .

[4]  Yves M. Govaerts,et al.  Radiative effect of surface albedo change from biomass burning , 2005 .

[5]  Y. Govaerts Correction of the Meteosat-5 and -6 radiometer solar channel spectral response with the Meteosat-7 sensor spectral characteristics , 1999 .

[6]  M. Claussen,et al.  Radiative forcing from anthropogenic land cover change since A.D. 800 , 2009 .

[7]  T. Painter,et al.  Reflectance quantities in optical remote sensing - definitions and case studies , 2006 .

[8]  Yves Govaerts,et al.  Evaluation of radiative transfer simulation accuracy over bright desert calibration sites , 2003 .

[9]  Kenneth R. Knapp,et al.  ISCCP B1 data at NCDC: A new climate resource , 2004 .

[10]  D. Diner,et al.  Surface albedo retrieval from Meteosat: 2. Applications , 2000 .

[11]  Bernard Pinty,et al.  Spectral conversion of surface albedo derived from meteosat first generation observations , 2006, IEEE Geoscience and Remote Sensing Letters.

[12]  Yves M. Govaerts,et al.  Retrieval error estimation of surface albedo derived from geostationary large band satellite observations: Application to Meteosat‐2 and Meteosat‐7 data , 2007 .

[13]  Y. Govaerts,et al.  Estimation of surface albedo increase during the eighties Sahel drought from Meteosat observations , 2008 .

[14]  Yves M. Govaerts,et al.  The role of Bright Desert Regions in shaping North African climate , 2001 .

[15]  Diana Rechid,et al.  Sensitivity of climate models to seasonal variability of snow-free land surface albedo , 2009 .

[16]  Nadine Gobron,et al.  Coupling diffuse sky radiation and surface albedo , 2005 .

[17]  Bruce A. Wielicki,et al.  Satellite Instrument Calibration for Measuring Global Climate Change: Report of a Workshop , 2004 .

[18]  Nadine Gobron,et al.  Do man-made fires affect Earth's surface reflectance at continental scales? , 2000 .

[19]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .