%0 Journal Article %1 wehrli2018assessing %A Wehrli, Kathrin %A Guillod, Benoit P. %A Hauser, Mathias %A Leclair, Matthieu %A Seneviratne, Sonia I. %D 2018 %J Geophysical Research Letters %K DynamicsVersusThermodynamics climate dynamics %R 10.1029/2018GL079220 %T Assessing the Dynamic Versus Thermodynamic Origin of Climate Model Biases %X Global climate models present systematic biases, among others, a tendency to overestimate hot and dry summers in midlatitude regions. Here we investigate the origin of such biases in the Community Earth System Model. To disentangle the contribution of dynamics and thermodynamics, we perform simulations that include nudging of horizontal wind and compare them to simulations with a free atmosphere. Prescribing the observed large‐scale circulation improves the modeled weather patterns as well as many related fields. However, the larger part of the temperature and precipitation biases of the free atmosphere configuration remains after nudging, in particular, for extremes. Our results suggest that thermodynamical processes, including land‐atmosphere coupling and atmospheric parameterizations, drive the errors present in Community Earth System Model. Our result may apply to other climate models and highlight the importance of distinguishing thermodynamic and dynamic sources of biases in present‐day global climate models.

@article{wehrli2018assessing, abstract = {Global climate models present systematic biases, among others, a tendency to overestimate hot and dry summers in midlatitude regions. Here we investigate the origin of such biases in the Community Earth System Model. To disentangle the contribution of dynamics and thermodynamics, we perform simulations that include nudging of horizontal wind and compare them to simulations with a free atmosphere. Prescribing the observed large‐scale circulation improves the modeled weather patterns as well as many related fields. However, the larger part of the temperature and precipitation biases of the free atmosphere configuration remains after nudging, in particular, for extremes. Our results suggest that thermodynamical processes, including land‐atmosphere coupling and atmospheric parameterizations, drive the errors present in Community Earth System Model. Our result may apply to other climate models and highlight the importance of distinguishing thermodynamic and dynamic sources of biases in present‐day global climate models. }, added-at = {2018-08-21T13:27:56.000+0200}, author = {Wehrli, Kathrin and Guillod, Benoit P. and Hauser, Mathias and Leclair, Matthieu and Seneviratne, Sonia I.}, biburl = {https://www.bibsonomy.org/bibtex/2cf0ab606630b43376875bf822fc26cf2/pbett}, description = {Assessing the Dynamic Versus Thermodynamic Origin of Climate Model Biases - Wehrli - - Geophysical Research Letters - Wiley Online Library}, doi = {10.1029/2018GL079220}, interhash = {595cb362cbe720281cf492239ae38a3a}, intrahash = {cf0ab606630b43376875bf822fc26cf2}, journal = {Geophysical Research Letters}, keywords = {DynamicsVersusThermodynamics climate dynamics}, month = jul, timestamp = {2018-08-21T13:27:56.000+0200}, title = {Assessing the Dynamic Versus Thermodynamic Origin of Climate Model Biases}, year = 2018 }