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An Informal MIP: Evaluation of Cloud Base Precipitation Rates Using Ground-Based Observations

• Motivation: Role of precipitation process physics in diversity of cloud feedbacks (McCoy et al. 2020, Mülmenstädt et al. 2020, Zelinka et al. 2020, Cesana et al. 2021) motivates evaluation against ground-based data
• Example: Using the EMC² ground-based instrument simulator (https://github.com/columncolab/EMC2, Silber et al. 2022), four ModelE3 configurations are evaluated at the NSA site, where 85% of supercooled clouds precipitate from liquid cloud base (Silber et al. ACP 2021)
• Results: Detectable supercooled cloud-base precipitation occurrence = {76,77,84,79}% for {Tun1,Tun2,Tun3,Phys} configurations, and cloud base precipitation rates lie largely within observation uncertainty (see figure)
• Ongoing work: Evaluation of ModelE3, CESM2 and E3SM at NSA, ENA, AWARE, and MICRE sites. More model outputs (output lidar/radar forward simulation at all time steps at the ARM deployment sites).
• Interested to participate?: POCs Israel Silber, Ann Fridlind
• See also McKenna Stanford's related poster and talk