The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation

Autor: Jean-Christophe Golaz, Luke P. Van Roekel, Xue Zheng, Andrew Roberts, Jonathan D Wolfe, Wuyin Lin, Andrew Bradley, Qi Tang, Mathew E Maltrud, Ryan M Forsyth, Chengzhu Zhang, Tian Zhou, Kai Zhang, Charles Sutton Zender, Mingxuan Wu, Hailong Wang, Adrian K Turner, Balwinder Singh, Jadwiga H. Richter, Yi Qin, Mark R. Petersen, Azamat Mametjanov, Po-Lun Ma, Vincent E Larson, Jayesh Krishna, Noel D. Keen, Nicole Jeffery, Elizabeth C Hunke, Walter M. Hannah, Oksana Guba, Brian M Griffin, Yan Feng, Darren Engwirda, Alan V. Di Vittorio, Cheng Dang, LeAnn Conlon, Chih-Chieh Chen, Michael Brunke, Gautam Bisht, James J Benedict, Xylar S Asay-Davis, Yuying Zhang, Meng Zhang, Xubin Zeng, Shaocheng Xie, Phillip Justin Wolfram Jr., Tom Vo, Milena Veneziani, Teklu Kidane Tesfa, Sarat Sreepathi, Andrew G. Salinger, J. E. Jack Reeves Eyre, Michael J. Prather, Salil Mahajan, Qing Li, Philip W Jones, Robert L Jacob, Gunther W Huebler, Xianglei Huang, Benjamin R Hillman, Bryce E Harrop, James G Foucar, Yilin Fang, Darin Comeau, Peter Martin Caldwell, Tony Bartoletti, Karthik Balaguru, Mark A Taylor, Renata McCoy, L. Ruby Leung, David Craig Bader

Publikováno v: Journal of Advances in Modeling Earth Systems, vol 14, iss 12

This work documents version two of the Department of Energy's Energy Exascale Earth System Model (E3SM). E3SMv2 is a significant evolution from its predecessor E3SMv1, resulting in a model that is nearly twice as fast and with a simulated climate tha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7da5699bb3c589deff99854b96330de
https://escholarship.org/uc/item/5bp395w8

Impacts of sub-grid topographic representations on surface energy balance and boundary conditions in the E3SM Land Model

Autor: Dalei Hao, Gautam Bisht, Meng Huang, Po-Lun Ma, Teklu Kidane Tesfa, Wei-Liang Lee, Yu Gu, L. Ruby Leung

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65cc570022c804e858f422cc9a04c078
https://doi.org/10.1002/essoar.10508175.1