Global Microwave Land Surface Emissivity Under all Weather Conditions Derived From Fengyun‐3D Satellite Observations
Year: 2025
Type: article
Abstract: A global microwave land surface emissivity (MLSE) data set from January 2020 to December 2022 under all‐weather conditions was retrieved using microwave brightness temperatures from Fengyun‐3D Microwave Radiation Imager (MWRI), combined with cloud properties derived from the Medium Resolution Spectral Imager on the same satellite. The contributions of clouds and atmospheric particles were calculated using a four‐stream microwave radiative transfer model and subtracted from the Tbs measured at the top of the atmosphere. To evaluate the MWRI MLSE, we compared it with four reference clear‐sky emissivity data sets retrieved from Global Precipitation Mission Microwave Imager, Advanced Microwave Scanning Radiometer for EOS (AMSR‐E), and the Tool to Estimate Land Surface Emissivity at Microwaves and Millimeter waves (TELSEM) which is based on the measurements of Special Sensor Microwave/Imager (SSM/I). We also assessed the sensitivity of seasonal variations of MLSE to surface conditions indicated by the normalized difference vegetation index and precipitation seasonal cycles. Results demonstrate that our retrieval achieves good consistencies with the four reference products, exhibiting similar surface characteristics and spectral dependencies. Based on the all‐weather retrievals, we studied the potential impacts of clouds on MLSE in tropical regions. Results indicate that the presence of clouds may lead to a decrease in land surface emissivity due to potentially increased moisture in the soil‐vegetation mediums.
DOI: 10.1029/2024jd043282
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: hybrid
Estimated APC paid: $4,070
OpenAlex ID: W4411117147