6. One paragraph description of your model (e.g. abstract from report or paper); Snow mass(snow water equivalent) on the ground is a prognostic variable. The model predicts the surface temperature of sea ice, glacier ice ( ice sheet), land or snow. Also, ground temperature, ground wetness, ground ice are predicted in the model. 50. Please provide references relevant to the model description and use. Phillips, T.J., 1994: A summary documentation of the AMIP models. PCMDI Report No.18, 180-189. Kitoh, A., A. Noda, Y. Nikaidou, T. Ose and T. Tokioka, 1995: AMIP simulations of the MRI GCM. Pap. Meteor. Geophys., 45, 121-148. Tokioka, T., A. Noda, A. Kitoh, Y. Nikaidou, S. Nakagawa, T. Motoi, S. Yukimoto and K. Takata, 1995: A transient CO2 experiment with the MRI CGCM --Quick Report--. J. Meteorl. Soc. Japan, 73, 817-826. ******************************************* * Dr. Akira Noda * * Climate Research Department * * Meteorological Research Institute * * Nagamine 1-1, Tsukuba, Ibaraki 305 * * JAPAN * ******************************************* * e-mail: noda@mri-jma.go.jp * * FAX: +81-298-55-2552 * * phone: +81-298-53-8608 * *******************************************