Evaluation of Mixed-Phase Cloud Parameterizations in Short-Range Weather Forecasts with CAM3 and AM2 for Mixed-Phase Arctic Cloud Experiment

• Main Authors: Xie, S, Boyle, J, Klein, S, Liu, X, Ghan, S
• Other Authors: United States. Department of Energy. Office of Science and Technology.
• Format: Report
• Language: English
• Published: Pacific Northwest National Laboratory (U.S.) 2007
• Subjects: Clouds; Climates; Radiations; Simulation; Atmospheric Chemistry; 54 Environmental Sciences; Performance; Metrics; Weather; Evaluation; Climate Models; Forecasting; Arctic; Climate change
• Online Access: https://doi.org/10.2172/1021003; http://digital.library.unt.edu/ark:/67531/metadc839631/

By making use of the in-situ data collected from the recent Atmospheric Radiation Measurement Mixed-Phase Arctic Cloud Experiment, we have tested the mixed-phase cloud parameterizations used in the two major U.S. climate models, the National Center for Atmospheric Research Community Atmosphere Model version 3 (CAM3) and the Geophysical Fluid Dynamics Laboratory climate model (AM2), under both the single-column modeling framework and the U.S. Department of Energy Climate Change Prediction Program-Atmospheric Radiation Measurement Parameterization Testbed. An improved and more physically based cloud microphysical scheme for CAM3 has been also tested. The single-column modeling tests were summarized in the second quarter 2007 Atmospheric Radiation Measurement metric report. In the current report, we document the performance of these microphysical schemes in short-range weather forecasts using the Climate Chagne Prediction Program Atmospheric Radiation Measurement Parameterizaiton Testbest strategy, in which we initialize CAM3 and AM2 with realistic atmospheric states from numerical weather prediction analyses for the period when Mixed-Phase Arctic Cloud Experiment was conducted.