Optimal ATMS Remapping Algorithm for Climate Research

• Published in: IEEE transactions on geoscience and remote sensing Vol. 52; no. 11; pp. 7290 - 7296
• Main Authors: Yang, Hu, Zou, Xiaolei
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Advanced Microwave Sounding Unit (AMSU); Advanced Technology Microwave Sounder (ATMS); Antennas; Brightness temperature; Channels; Computer simulation; Conversion; Instruments; Meteorology; Microwave radiometry; Microwave theory and techniques; Microwaves; Noise; Optimization; remapping; Sampling; Standard deviation; Advanced Microwave Sounding Unit (AMSU); Advanced Technology Microwave Sounder (ATMS); remapping
• ISSN: 0196-2892; 1558-0644; 1558-0644
• DOI: 10.1109/TGRS.2014.2310702

In this paper, the Backus-Gilbert (B-G) method was used for the conversion from Advanced Technology Microwave Sounder (ATMS) FOVs to AMSU-A FOVs. This method provides not only an optimal combination of measurements within a specified region but also a quantitative measure of the tradeoff between resolution and noise. Based on a subpixel microwave antenna temperature simulation technique, ATMS observations at a specified FOV size with 1.1° sampling interval are simulated. Errors of remapping results were quantified by using simulated data sets and real AMSU observations. It is shown that the biases and/or standard deviations of brightness temperatures are significantly reduced by using the B-G generated remapping coefficients. For K/Ka bands, a resolution enhancement by the remap of ATMS observations introduces about 0.6 K increase in noise. For other bands, the channel sensitivity was improved for the remapped data.