Consolidating the Two-Stream Inversion Package (JRC-TIP) to Retrieve Land Surface Parameters From Albedo Products

The objective of this paper is to present a series of improvements on the Joint Research Centre Two-stream Inversion Package (JRC-TIP) that enhance its effectiveness to generate reliable surface products and associated uncertainties from surface albedo values. Lookup tables (LUTs) are built in the observation space from the JRC-TIP and are used to store solutions obtained from off-line dedicated procedures on selected sets of prior conditions. This new approach drastically limits the occurrence of questionable solutions, revealed by outliers in the retrievals, often associated with local instead of global minima and ensures that the retrieved values are insensitive to small variations in the input albedo values. This TIP table-based approach also reduces considerably the computing time requirement, which is a definite asset in the systematic application of the TIP against large data sets of surface albedo products.

[1]  Thomas Kaminski,et al.  Development and First Applications of TAC , 2008 .

[2]  Nadine Gobron,et al.  Partitioning the Solar Radiant Fluxes in Forest Canopies in the Presence of Snow , 2008 .

[3]  R. Dickinson,et al.  A three‐dimensional analytic model for the scattering of a spherical bush , 2008 .

[4]  W. Cohen,et al.  Evaluation of fraction of absorbed photosynthetically active radiation products for different canopy radiation transfer regimes: methodology and results using Joint Research Center products derived from SeaWiFS against ground-based estimations. , 2006 .

[5]  D. Diner,et al.  Estimation of vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from atmosphere‐corrected MISR data , 1998 .

[6]  Nadine Gobron,et al.  Global-Scale Comparison of MISR and MODIS Land Surface Albedos , 2011 .

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

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

[9]  Jindi Wang,et al.  Development of the Adjoint Model of a Canopy Radiative Transfer Model for Sensitivity Study and Inversion of Leaf Area Index , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[10]  A. Tarantola Inverse problem theory : methods for data fitting and model parameter estimation , 1987 .

[11]  Armin Köhl,et al.  An adjoint method for the assimilation of statistical characteristics into eddy-resolving ocean models , 2002 .

[12]  Wolfgang Knorr,et al.  Uncertainties in global terrestrial biosphere modeling, Part II: Global constraints for a process‐based vegetation model , 2001 .

[13]  Kees Klein Goldewijk,et al.  Biogeophysical effects of land use on climate : Model simulations of radiative forcing and large-scale temperature change , 2007 .

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

[15]  P. Sellers Canopy reflectance, photosynthesis and transpiration , 1985 .

[16]  Thomas Kaminski,et al.  Remote sensing input for regional to global CO 2 flux modelling , 2008 .

[17]  R. Schnur,et al.  Impact of terrestrial biosphere carbon exchanges on the anomalous CO2 increase in 2002–2003 , 2007 .

[18]  R. Dickinson,et al.  Simplifying the Interaction of Land Surfaces with Radiation for Relating Remote Sensing Products to Climate Models , 2006 .

[19]  Liming Zhou,et al.  Assimilation of satellite reflectance data into a dynamical leaf model to infer seasonally varying leaf areas for climate and carbon models , 2008 .

[20]  B. J. Fraser,et al.  Phase structure of Pc3 waves observed by Cluster and ground stations near the cusp , 2008 .

[21]  A. Pitman The evolution of, and revolution in, land surface schemes designed for climate models , 2003 .

[22]  R. Giering,et al.  Retrieving surface parameters for climate models from Moderate Resolution Imaging Spectroradiometer (MODIS)-Multiangle Imaging Spectroradiometer (MISR) Albedo Products , 2007 .

[23]  Thomas Lavergne,et al.  An inverse radiative transfer model of the vegetation canopy based on automatic differentiation , 2010 .