Articles | Volume 15, issue 7
Geosci. Model Dev., 15, 2881–2916, 2022
https://doi.org/10.5194/gmd-15-2881-2022
Geosci. Model Dev., 15, 2881–2916, 2022
https://doi.org/10.5194/gmd-15-2881-2022
Development and technical paper
07 Apr 2022
Development and technical paper | 07 Apr 2022

Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1

Po-Lun Ma et al.

Related authors

Evaluation of Aerosol-Cloud Interactions in E3SM using a Lagrangian Framework
Matthew W. Christensen, Po-Lun Ma, Peng Wu, Adam C. Varble, Johannes Mülmenstädt, and Jerome Fast
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-623,https://doi.org/10.5194/acp-2022-623, 2022
Preprint under review for ACP
Short summary
Incorporation of aerosols into the COSPv2 satellite lidar simulator for climate model evaluation
Marine Bonazzola, Hélène Chepfer, Po-Lun Ma, Johannes Quaas, David M. Winker, Artem Feofilov, and Nick Schutgens
EGUsphere, https://doi.org/10.5194/egusphere-2022-438,https://doi.org/10.5194/egusphere-2022-438, 2022
Short summary
Representing surface heterogeneity in land–atmosphere coupling in E3SMv1 single-column model over ARM SGP during summertime
Meng Huang, Po-Lun Ma, Nathaniel W. Chaney, Dalei Hao, Gautam Bisht, Megan D. Fowler, Vincent E. Larson, and L. Ruby Leung
Geosci. Model Dev., 15, 6371–6384, https://doi.org/10.5194/gmd-15-6371-2022,https://doi.org/10.5194/gmd-15-6371-2022, 2022
Short summary
Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities
Kai Zhang, Wentao Zhang, Hui Wan, Philip J. Rasch, Steven J. Ghan, Richard C. Easter, Xiangjun Shi, Yong Wang, Hailong Wang, Po-Lun Ma, Shixuan Zhang, Jian Sun, Susannah M. Burrows, Manish Shrivastava, Balwinder Singh, Yun Qian, Xiaohong Liu, Jean-Christophe Golaz, Qi Tang, Xue Zheng, Shaocheng Xie, Wuyin Lin, Yan Feng, Minghuai Wang, Jin-Ho Yoon, and L. Ruby Leung
Atmos. Chem. Phys., 22, 9129–9160, https://doi.org/10.5194/acp-22-9129-2022,https://doi.org/10.5194/acp-22-9129-2022, 2022
Short summary
Emulating Aerosol Optics with Randomly Generated Neural Networks
Andrew Geiss, Po-Lun Ma, Balwinder Singh, and Joseph C. Hardin
EGUsphere, https://doi.org/10.5194/egusphere-2022-559,https://doi.org/10.5194/egusphere-2022-559, 2022
Short summary