Temperature and Humidity Profiles in the “TqJoint” Data Group of AIRS Version 6 Product for the Climate Model Evaluation

Thursday, 18 December 2014
Feng Ding1,2, Fan Fang1,2, Thomas J Hearty III2,3, Michael Theobald1,2, Bruce Vollmer2 and Christopher Lynnes2, (1)ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Wyle Information Systems, Inc., Lanham, MD, United States
The Atmospheric Infrared Sounder (AIRS) mission is entering its 13th year of global observations of the atmospheric state, including temperature and humidity profiles, outgoing longwave radiation, cloud properties, and trace gases. Thus AIRS data have been widely used, among other things, for short-term climate research and observational component for model evaluation. One instance is the fifth phase of the Coupled Model Intercomparison Project (CMIP5) which uses AIRS version 5 data (Tian et al. 2013) in the climate model evaluation. The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) is the home of processing, archiving, and distribution services for data from the AIRS mission. The GES DISC, in collaboration with the AIRS Project, released data from the version 6 algorithm in early 2013. The new algorithm represents a significant improvement over previous versions in terms of greater stability, yield, and quality of products.

The ongoing Earth System Grid for next generation climate model research project, a collaborative effort of GES DISC and NASA JPL, will bring temperature and humidity profiles from AIRS version 6. The AIRS version 6 product adds a new “TqJoint” data group, which contains data for a common set of observations across water vapor and temperature at all atmospheric levels and is suitable for climate process studies. How different may the monthly temperature and humidity profiles in “TqJoint” group be from the standard group where temperature and water vapor are not always valid at the same time? This study aims to answer the question by comprehensively comparing the temperature and humidity profiles from the TqJoint group and the standard group. The comparison includes absolute and relative differences, systematic trends at different levels, over land/sea and different latitude regions. We will also use MERRA data to examine the sampling differences between the “TqJoint” and standard group. The detail statistical numbers and plots will be presented.