Improved meteorology from an updated WRF/CMAQ modeling system with MODIS vegetation and albedo
نویسندگان
چکیده
منابع مشابه
Deriving Albedo from Coupled MERIS and MODIS Surface Products
MERIS Level 2 surface reflectance products are now available to the scientific community. This paper demonstrates the production of MERIS-derived surface albedo and Nadir Bidirectional Reflectance Distribution Function (BRDF) adjusted reflectances by coupling the MERIS data with MODIS BRDF products. Initial efforts rely on the specification of surface anisotropy as provided by the global MODIS ...
متن کاملImproving MODIS surface BRDF/Albedo retrieval with MISR multiangle observations
We explore a synergistic approach to use the complementary angular samplings from the Multi-angle Imaging SpectroRadiometer (MISR) and Moderate Resolution Imaging Spectroradiometer (MODIS) to improve MODIS surface bidirectional reflectance distribution function (BRDF) and albedo retrieval. Preliminary case studies show that MODIS and MISR surface bidirectional reflectance factors (BRFs) are gen...
متن کاملCharacterization of Biophysical Vegetation - Soil Dynamics along an Eco-climatic Brazilian Transect with Modis Vegetation Indices
Field measurements were conducted on 10 June through 21 July 2002 to collect biophysical data in support of MODIS validation studies. Leaf Area Index (LAI), Plant Area Index (PAI), Absorbed Photosynthetically Active Radiation (fAPAR), biomass, cover components, site characterization and soil characterization were measured. The study areas extended over an eco-climatic transect, from the cerrado...
متن کاملA New Global fAPAR and LAI Dataset Derived from Optimal Albedo Estimates: Comparison with MODIS Products
We present the first comparison between new fAPAR and LAI products derived from the GlobAlbedo dataset and the widely-used MODIS fAPAR and LAI products. The GlobAlbedo-derived products are produced using a 1D two-stream radiative transfer (RT) scheme designed explicitly for global parameter retrieval from albedo, with consistency between RT model assumptions and observations, as well as with ty...
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ژورنال
عنوان ژورنال: Journal of Geophysical Research: Atmospheres
سال: 2016
ISSN: 2169-897X
DOI: 10.1002/2015jd024406