Open AccessGFDL ARM Project Technical Report: Using ARM Observations to Evaluate Cloud and Convection Parameterizations & Cloud-Convection-Radiation Interactions in the GFDL Atmospheric General Circulation Model
Author(s) -
V. Ramaswamy,
Leo J. Donner,
J-C. Golaz,
S. A. Klein
Publication year - 2010
Language(s) - English
Resource type - Reports
DOI - 10.2172/1057664
Subject(s) - environmental science , climatology , cirrus , meteorology , cloud computing , gcm transcription factors , climate model , geophysical fluid dynamics , atmospheric model , cloud feedback , atmospheric sciences , general circulation model , climate change , climate sensitivity , physics , geology , computer science , oceanography , operating system
This report briefly summarizes the progress made by ARM postdoctoral fellow, Yanluan Lin, at GFDL during the period from October 2008 to present. Several ARM datasets have been used for GFDL model evaluation, understanding, and improvement. This includes a new ice fall speed parameterization with riming impact and its test in GFDL AM3, evaluation of model cloud and radiation diurnal and seasonal variation using ARM CMBE data, model ice water content evaluation using ARM cirrus data, and coordination of the TWPICE global model intercomparison. The work illustrates the potential and importance of ARM data for GCM evaluation, understanding, and ultimately, improvement of GCM cloud and radiation parameterizations. Future work includes evaluation and improvement of the new dynamicsPDF cloud scheme and aerosol activation in the GFDL model