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Publication Date
27 July 2023

Evaluating EAMv2 Simulated High Latitude Clouds Using ARM Measurements in the Northern and Southern Hemispheres



This study evaluates high latitude stratiform mixed‐phase clouds (SMPC) in the atmosphere model of the Energy Exascale Earth System Model version 2 (EAMv2) by utilizing one‐year‐long ground‐based remote sensing measurements from the Atmospheric Radiation and Measurement (ARM) program. A nudging approach is applied to model simulations for a constrained comparison with the ARM observations. Observed and modeled SMPCs are sampled and collocated to address the difference in data resolution, so that we can consistently evaluate their macrophysical properties at the North Slope of Alaska (NSA) site in the Arctic and the McMurdo (AWR) site in the Antarctic. We found that EAMv2 overestimates SMPC frequency of occurrence at both sites. However, the model captures the observed larger cloud frequency of occurrence at the NSA site. For collocated SMPCs, the annual statistics of observed cloud macrophysics are generally reproduced at the NSA site, while at the AWR site, there are larger biases. Compared to the AWR site, the lower cloud top and cloud base and the warmer cloud top temperature observed at NSA are well simulated. On the other hand, simulated cloud phase is substantially biased. The model largely overestimates liquid water path, and the ice water path is underestimated at NSA, but at AWR, the liquid water path is frequently underestimated due to the dominance of snow in Antarctic SMPCs. As a result, the observed hemispheric difference in cloud phase partitioning is misrepresented in EAMv2. This study implies that additional model development is needed for high latitude mixed‐phase clouds.

Zhang, Meng, Shaocheng Xie, Xiaohong Liu, Damao Zhang, Wuyin Lin, Kai Zhang, Jean‐Christophe Golaz, Xue Zheng, and Yuying Zhang. 2023. “Evaluating Eamv2 Simulated High Latitude Clouds Using Arm Measurements In The Northern And Southern Hemispheres”. Journal Of Geophysical Research: Atmospheres 128 (15). American Geophysical Union (AGU). doi:10.1029/2022jd038364.
Funding Program Area(s)
Additional Resources:
NERSC (National Energy Research Scientific Computing Center)