Journal
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
Volume 57, Issue 4, Pages 907-919Publisher
AMER METEOROLOGICAL SOC
DOI: 10.1175/JAMC-D-17-0213.1
Keywords
Infrared radiation; Surface temperature; Microwave observations; Remote sensing
Categories
Funding
- National Oceanic and Atmospheric Administration Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies (NOAA-CESSRST) [NA16SEC4810008]
- Department of Defense Army Research Office [W911NF-15-1-0070]
- NASA [NNH15ZDA001N]
- Center for Remote Sensing and Earth System Sciences at the New York City College of Technology
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Accurate estimation of passive microwave land surface emissivity (LSE) is crucial for numerical weather prediction model data assimilation, for microwave retrievals of land precipitation and atmospheric profiles, and for a better understanding of land surface and subsurface characteristics. In this study, global instantaneous LSE is estimated for a 9-yr period from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) and for a 5-yr period from the Advanced Microwave Scanning Radiometer 2 (AMSR2) sensors. Estimates of LSE from both sensors were obtained by using an updated algorithm that minimizes the discrepancy between the differences in penetration depths from microwave and infrared remote sensing observations. Concurrent ancillary datasets such as skin temperature from the Moderate Resolution Imaging Spectroradiometer (MODIS) and profiles of air temperature and humidity from the Atmospheric Infrared Sounder are used. The latest collection 6 of MODIS skin temperature is used for the LSE estimation, and the differences between collections 6 and 5 are also comprehensively assessed. Analyses reveal that the differences between these two versions of infrared-based skin temperatures could lead to approximately a 0.015 difference in passive microwave LSE values, especially in arid regions. The comparison of global mean LSE features from the combined use of AMSR-E and AMSR2 with an independent productTool to Estimate Land Surface Emissivity from Microwave to Submillimeter Waves (TELSEM2)shows spatial pattern correlations of order 0.92 at all frequencies. However, there are considerable differences in magnitude between these two LSE estimates, possibly because of differences in incidence angles, frequencies, observation times, and ancillary datasets.
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