Surface albedo retrieval from Meteosat: 1. Theory

Land surface albedo constitutes a critical climatic variable, since it largely controls the actual amount of solar energy available to the Earth system. The purpose of this paper is to establish a theory for the exploitation of space observations to solve the atmosphere/surface radiation transfer problem on an operational basis and to generate surface albedo, aerosol load, and possibly land cover change products. Surface albedo is rather variable in space and time and depends both on the structure and on the radiative characteristics of the surface, as well as on the angular and spectral distribution of radiation at the bottom of the atmosphere. Weather and climate models often use preset distributions or simple parameterizations of this environment variable, even though such approaches do not accurately account for the actual effect of the underlying surface. From a mathematical point of view, the determination of the surface albedo corresponds to the estimation of a boundary condition for the radiation transfer problem in the coupled surface-atmosphere system. A relatively large database of 10 years or more of Meteosat data has been accumulated by EUMETSAT. These data, collected at half-hour intervals over the entire Earth disk visible from longitude 0°, constitute a unique resource to describe the anisotropy of the coupled surface-atmosphere system and provide the opportunity to document changes in surface albedo which may have occurred in these regions over that period. In addition, since the coupled surface-atmosphere radiation transfer problem must be solved, the proposed procedure also yields an estimate of the spatial and temporal distribution of aerosols. The proposed inversion procedure yields a characterization of surface radiative properties that may also be used to document and monitor land surface dynamics over the portion of the globe observed by Meteosat. Results from preliminary applications and an error budget analysis are discussed in a companion paper [Pinty et al., this issue].

[1]  J. Otterman,et al.  Baring High-Albedo Soils by Overgrazing: A Hypothesized Desertification Mechanism , 1974, Science.

[2]  J. Charney Dynamics of deserts and drought in the Sahel , 1975 .

[3]  L. Berkofsky The Effect of Variable Surface Albedo on the Atmospheric Circulation in Desert Regions , 1976 .

[4]  F. E. Nicodemus,et al.  Geometrical considerations and nomenclature for reflectance , 1977 .

[5]  Jack Kornfield,et al.  A Comparative Study of the Effects of Albedo Change on Drought in Semi-Arid Regions. , 1977 .

[6]  S. K. Cox,et al.  Satellite inferred surface albedo over northwestern Africa , 1978 .

[7]  Surface albedos derived from satellite data and their impact on forecast models , 1980 .

[8]  Y. Sud,et al.  A study of the influence of surface albedo on July circulation in semi‐arid regions using the glas GCM , 1982 .

[9]  Ann Henderson-Sellers,et al.  Surface albedo data for climatic modeling , 1983 .

[10]  R. Dickinson Land Surface Processes and Climate—Surface Albedos and Energy Balance , 1983 .

[11]  S. I. Rasool,et al.  Surface albedo and the Sahel drought , 1984, Nature.

[12]  George Ohring,et al.  On the Relationship between Clear-Sky Planetary and Surfae Albedos , 1984 .

[13]  J. Lenoble Radiative transfer in scattering and absorbing atmospheres: Standard computational procedures , 1985 .

[14]  B. Pinty,et al.  A Method for the Estimate of Broadband Directional Surface Albedo from a Geostationary Satellite , 1987 .

[15]  K. T. Kriebel,et al.  Improvements in the Shortwave Cloud-free Radiation Budget Accuracy. Part I: Numerical Study Including Surface Anisotropy , 1987 .

[16]  Michael J. McPhaden,et al.  A comparison of tropical Pacific surface wind analyses , 1989 .

[17]  Michel M. Verstraete,et al.  The representation of continental surface processes in atmospheric models , 1990 .

[18]  H. Rahman,et al.  Coupled surface-atmosphere reflectance (CSAR) model: 2. Semiempirical surface model usable with NOAA advanced very high resolution radiometer data , 1993 .

[19]  Zhanqing Li,et al.  Estimation of surface albedo from space: A parameterization for global application , 1994 .

[20]  J. Privette,et al.  Estimating spectral albedo and nadir reflectance through inversion of simple BRDF models with AVHRR/MODIS‐like data , 1997 .

[21]  Robert A. West,et al.  Sensitivity of multiangle remote sensing observations to aerosol sphericity , 1997 .

[22]  F. Cabot,et al.  Surface albedo from space: Coupling bidirectional models and remotely sensed , 1997 .

[23]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[24]  Bernard Pinty,et al.  Determination of land and ocean reflective, radiative, and biophysical properties using multiangle imaging , 1998, IEEE Trans. Geosci. Remote. Sens..

[25]  Bernard Pinty,et al.  Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging , 1998, IEEE Trans. Geosci. Remote. Sens..

[26]  Bernard Pinty,et al.  Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview , 1998, IEEE Trans. Geosci. Remote. Sens..

[27]  Bernard Pinty,et al.  Parametric surface bidirectional reflectance factor models for atmospheric radiative transfer modeling , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[28]  Glen Jaross,et al.  Earth probe total ozone mapping spectrometer (TOMS): data products user's guide , 1998 .

[29]  Alan H. Strahler,et al.  Retrieval of red spectral albedo and bidirectional reflectance using AVHRR HRPT and GOES satellite observations of the New England region , 1999 .

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