Title :
Validating the AIRS Version 5 CO Retrieval With DACOM In Situ Measurements During INTEX-A and -B
Author :
McMillan, W.W. ; Evans, Keith D. ; Barnet, Christopher D. ; Maddy, Eric S. ; Sachse, Glen W. ; Diskin, Glenn S.
Author_Institution :
Dept. of Phys., Univ. of Maryland, Baltimore, MD, USA
fDate :
7/1/2011 12:00:00 AM
Abstract :
Herein we provide a description of the atmospheric infrared sounder (AIRS) version 5 (v5) carbon monoxide (CO) retrieval algorithm and its validation with the DACOM in situ measurements during the INTEX-A and -B campaigns. All standard and support products in the AIRS v5 CO retrieval algorithm are documented. Building on prior publications, we describe the convolution of in situ measurements with the AIRS v5 CO averaging kernel and first-guess CO profile as required for proper validation. Validation is accomplished through comparison of AIRS CO retrievals with convolved in situ CO profiles acquired during the NASA Intercontinental Chemical Transport Experiments (INTEX) in 2004 and 2006. From 143 profiles in the northern mid-latitudes during these two experiments, we find AIRS v5 CO retrievals are biased high by 6%-10% between 900 and 300 hPa with a root-mean-square error of 8%-12%. No significant differences were found between validation using spiral profiles coincident with AIRS overpasses and in-transit profiles under the satellite track but up to 13 h off in time. Similarly, no significant differences in validation results were found for ocean versus land, day versus night, or with respect to retrieved cloud top pressure or cloud fraction.
Keywords :
atmospheric composition; atmospheric techniques; clouds; remote sensing; AIRS v5 CO retrievals; DACOM measurements; INTEX-A campaign; INTEX-B campaign; NASA Intercontinental Chemical Transport Experiments; atmospheric infrared sounder version 5; carbon monoxide retrieval algorithm; cloud fraction; cloud top pressure; first-guess CO profile; remote sensing; root-mean-square error; satellite track; spiral profiles; Atmospheric measurements; Clouds; Instruments; Kernel; Satellites; Spirals; Surface topography; Carbon monoxide (CO); infrared measurements; remote sensing; satellite validation;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2011.2106505