A51M-0259
The tropospheric moisture and temperature biases in climate models
Friday, 18 December 2015
Poster Hall (Moscone South)
Baijun Tian1, Eric J Fetzer1 and Thomas J Hearty III2, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Abstract:
The Atmospheric Infrared Sounder (AIRS) tropospheric temperature and water vapor profile datasets are valuable for climate model evaluation (e.g., Tian et al. 2013). Cloud-induced sampling biases exist, however, in the AIRS data due to the limitations of the infrared sounding. Hearty et al. (2014) quantified these biases recently. This study will discuss the overall tropospheric moisture and temperature biases of climate models (CMIP3/5) after considering these biases and their improvements from CMIP3 to CMIP5. We will also discuss the linkage between model climate sensitivity and model double-Intertropical Convergence Zone bias and its implication for future climate projection.
