caa a22 4500 605471371 CHVBK 20210128100332.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00382-014-2435-7 doi (NATIONALLICENCE)springer-10.1007/s00382-014-2435-7 Understanding the systematic air temperature biases in a coupled climate system model through a process-based decomposition method [Elektronische Daten] [R.-C. Ren, Yang Yang, Ming Cai, Jian Rao] A quantitative attribution analysis is performed on the systematic atmospheric temperature biases in a coupled climate system model (flexible global ocean-atmosphere-land system model, spectral version 2) in reference to the European Center for Medium-Range Weather Forecasts, Re-analysis Interim data during 1979-2005. By adopting the coupled surface-atmosphere climate feedback response analysis method, the model temperature biases are related to model biases in representing the radiative processes including water vapor, ozone, clouds and surface albedo, and the non-radiative processes including surface heat fluxes and other dynamic processes. The results show that the temperature biases due to biases in radiative and non-radiative processes tend to compensate one another. In general, the radiative biases tend to dominate in the summer hemisphere, whereas the non-radiative biases dominate in the winter hemisphere. The temperature biases associated with radiative processes due to biases in ozone and water vapor content are the main contributors to the total temperature bias in the tropical and summer stratosphere. The overestimated surface albedo in both polar regions always results in significant cold biases in the atmosphere above in the summer season. Apart from these radiative biases, the zonal-mean patterns of the temperature biases in both boreal winter and summer are largely determined by model biases in non-radiative processes. In particular, the stronger non-radiative process biases in the northern winter hemisphere are responsible for the relatively larger ‘cold pole' bias in the northern winter polar stratosphere. Springer-Verlag Berlin Heidelberg, 2014 Model air temperature bias nationallicence Process-based decomposition nationallicence CFRAM nationallicence FGOALS-s2 nationallicence Ren R.-C State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, P.O. Box 9804, 100029, Beijing, China aut Yang Yang State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, P.O. Box 9804, 100029, Beijing, China aut Cai Ming Department of Earth, Ocean, and Atmospheric Science, Florida State University, 32306, Tallahassee, FL, USA aut Rao Jian State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, P.O. Box 9804, 100029, Beijing, China aut Climate Dynamics Springer Berlin Heidelberg 45/7-8(2015-10-01), 1801-1817 0930-7575 45:7-8<1801 2015 45 382 https://doi.org/10.1007/s00382-014-2435-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00382-014-2435-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ren R.-C State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, P.O. Box 9804, 100029, Beijing, China aut NATIONALLICENCE 700 1- Yang Yang State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, P.O. Box 9804, 100029, Beijing, China aut NATIONALLICENCE 700 1- Cai Ming Department of Earth, Ocean, and Atmospheric Science, Florida State University, 32306, Tallahassee, FL, USA aut NATIONALLICENCE 700 1- Rao Jian State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, P.O. Box 9804, 100029, Beijing, China aut NATIONALLICENCE 773 0- Climate Dynamics Springer Berlin Heidelberg 45/7-8(2015-10-01), 1801-1817 0930-7575 45:7-8<1801 2015 45 382