Advancing Cloud Microphysics Representations in Climate System Models

这笔赠款支持一个小研讨会，以计划合作研究，为社区大气模式(CAM)开发潮湿物理参数。研讨会(WS)旨在通过将社区成员的努力与NCAR科学家的努力结合起来，促进云分布和微物理在CAM中的表现。其目标是提高描述模拟大气中云、化学和气溶胶之间重要微物理过程和联系的能力。目前CAM中的云分布和微物理公式在表示这些过程和相互作用方面过于简单。WS将“启动”该过程。一个由10名在微物理计划方面有专长的社区成员组成的小组将被邀请加入NCAR科学家的行列。所有社区气候系统模式(CCSM)大气模式工作组成员(一个自封的小组)都将被邀请参加，但资金将仅限于被邀请的约10名主要参与者。私人投资机构将为实施下一版本的CAM和CCSM的计划制定具体的战略，包括角色、决定、哪些过程和他们可能使用的表示法，以确保社区发展朝着CAM的云分数、微物理和气溶胶方案的共同版本前进。这一过程的最终结果将是一个新的微物理方案或下一代CAM的几个候选方案。更广泛的影响包括一百多名使用CCSM/CAM的科学家将获得的好处，以及改善气候预测的潜力，这对社会问题如此重要。

This grant supports a small workshop to plan collaborative research to develop moist physics parameterizations for the Community Atmosphere Model (CAM). The workshop (WS) is intended to advance the representation of cloud distribution and microphysics in the CAM by integrating efforts of members of the community with those of NCAR scientists. The goal is to improve capability to represent important microphysical processes and connections between clouds, chemistry and aerosols in the modeled atmosphere. The current formulation of cloud distributions and microphysics in the CAM is overly simplistic in representing these processes and interactions.The WS will "jump start" the process. A group of 10 members of the community with expertise in microphysical schemes will be invited to join NCAR scientists. All Community Climate System Model (CCSM) Atmospheric Model WG members (a self-appointed group) will be invited to attend, but funding will be limited to to the ~10 invited key participants. The PIs will develop a specific strategy for implementing a plan for the next version of CAM and CCSM, including roles, decisions, which processes and which representations they might use in order to insure that community development proceeds towards a common version of cloud fraction, microphysics and aerosol schemes for the CAM. The ultimate result of this process will be a new microphysics scheme or several candidate schemes for the next generation of CAM. Broader impacts include the benefits to be derived by over one hundred scientists who use the CCSM/CAM, and the potential for improved climate projections, so important to societal issues.