报告题目: |
全球变化科学紫荆论坛（第244期）： The Cloud-Associated Parameterizations Testbed (CAPT) – Diagnosing Climate Model Parameterization Errors with Weather Forecast Techniques |
报告人: |
Shaocheng Xie |
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Group leader, the Cloud Processes Research
and Modeling group of the Atmospheric, Earth and Energy Division
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报告时间: |
2018-05-31 10:00 |
报告地点: |
清华地学系蒙民伟科技大楼南楼S818 |
主办单位: |
地球系统科学系 |
简介: |
Diagnosing climate model deficiencies in climate simulations is difficult since results depend on all aspects of the model and the compensation of multiple errors can mask real model problems. To address this issue, the U.S. Department of Energy (DOE)’s Regional and Global Climate Modeling (RGCM) and Atmospheric System Research Program (ASR) sponsored a joint project to develop a climate model parameterization testbed, i.e., the Cloud-Associated Parameterizations Testbed (CAPT), which can be easily used to run climate models in forecast mode. Under CAPT, climate models are initialized with realistic atmospheric states from Numerical Weather Prediction (NWP) analyses and model parameterizations are evaluated in their short-range weather forecasts against observations. Using such an approach, we could identify specific model deficiencies before the compensation of multiple errors occurs. |
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