Collaborative Research: Evaluation of Snow Simulations in the Second Phase of the Atmsopheric Model Intercomparison Project (AMIP-II)

题目：大气模式比对项目（AMIP-II）第二阶段积雪模拟的评估本项目的总体目标是评估大气模式比对项目（AMIP-II）第二阶段主持下提交的大气环流模式（GCM）中积雪覆盖面积和雪团的模拟。AMIP是一项确定大气气候模式系统误差的国际努力。确定了评估AMIP-II积雪模拟的三个主要目标。主要包括：(1)积雪面积气候学和运动学评价；(2)雪团气候学评价；(3)与降雪有关的大气环流型评价。雪是地表能量通量的重要调制器，也是北半球季节性变化最大的地表参数之一。这些调查将帮助建模者从大气动力学和地表参数化的角度评估他们对雪的处理。通过识别有偏雪模拟的区域、模式和模式特征，本研究将有助于建模者诊断地表通量这一与气候预测相关的重要物理过程。

AbstractATM-9820920Robinson, David A.Rutgers UniversityTitle: Evaluation of Snow Simulation in the Second Phase of the Atmospheric Model Intercomparison Project (AMIP-II)The overall goal of this project is to evaluate simulations of snow covered area and snow mass in General Circulation Models (GCM) submitted under the auspices of the second phase of the Atmospheric Model Intercomparison Project (AMIP-II). AMIP is an international effort to determine the systematic errors in atmospheric climate models. Three main objectives are identified to evaluate AMIP-II snow simulations. These are: (1) evaluation of snow covered area (SCA) climatology and kinematics; (2) evaluation of snow mass climatologies; and (3) evaluation of atmospheric circulation patterns associated with snow. Snow is an important modulator of surface energy fluxes, and one of the largest seasonally varying surface parameters over the Northern Hemisphere. These investigations will help modelers evaluate their treatment of snow, from the perspectives of both atmospheric dynamics as well as surface parameterizations. By identifying regions, models, and model characteristics with biased snow simulations, this research will aid modelers in their diagnoses of surface fluxes, an important physical process relevant to climate prediction.