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2206 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY VOLUME 31 Connecting the Time Series of Microwave Sounding Observations from AMSU to ATMS for Long-Term Monitoring of Climate XIAOLEI ZOU Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, Florida FUZHONG WENG NOAA/NESDIS/Center for Satellite Applications and Research, College Park, Maryland H. YANG Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, Maryland (Manuscript received 18 October 2013, in final form 8 May 2014) ABSTRACT The measurements from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) on board NOAA polar-orbiting satellites have been extensively utilized for detecting atmospheric temperature trend during the last several decades. After the launch of the Suomi National Polar- orbiting Partnership (Suomi-NPP) satellite on 28 October 2011, MSU and AMSU-A time series will be over- lapping with the Advanced Technology Microwave Sounder (ATMS) measurements. While ATMS inherited the central frequency and bandpass from most of AMSU-A sounding channels, its spatial resolution and noise features are, however, distinctly different from those of AMSU. In this study, the Backus–Gilbert method is used to optimally resample the ATMS data to AMSU-A fields of view (FOVs). The differences between the original and resampled ATMS data are demonstrated. By using the simultaneous nadir overpass (SNO) method, ATMS-resampled observations are collocated in space and time with AMSU-A data. The intersensor biases are then derived for each pair of ATMS–AMSU-A channels. It is shown that the brightness temperatures from ATMS now fall well within the AMSU data family after resampling and SNO cross calibration.
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