- Related Research Areas
- Climate Variability & Change
The research proposed here is fundamentally about providing tools to the MAP community and the modeling community beyond MAP to facilitate a more consistent way of comparing of CloudSat and CALIPSO observations to models. The intent is to expand on the tools already developed and use them together with a collection of A-Train observations to characterize model uncertainties related to cloud and precipitation processes, to identify areas where improvement to parameterization methods can be made and improve on the parameterization of cloud-precipitation related processes in global models. The models that are to be the focus of the study are the NASA GEOS5 global model, the GSFC MMF model and the NICAM global cloud-resolving model. The specific goals of the current research are to: 1. Maintain support of the current wide-scale use of the CloudSat simulator and add important improvements to it including the addition of a CALIPSO lidar simulator specifically to provide a means for comparing cloud occurrence statistics of models to the CloudSat 2B-GEOPROF-lidar product. 2. Use the simulators and new analysis methods to quantify the performance of the GEOS5, the GSFC-MMF and the NICAM global cloud resolving models. The focus of this study is to assess cloud-to-precipitation related processes and their parameterizations in these models.
Project PI: Graeme Stephens/Colorado State University
Dr. Graeme Stephens Cooperative Institute for Research in the Atmosphere Colorado State University 1375 Campus Delivery Fort Collins, CO 80523-1375
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