Acquisition of a Computational Laboratory for Regional, Interdisciplinary Investigation of Climatic and Environmental Change

根据重大研究仪器计划，将建立一个计算实验室，以促进和统一侧重于区域气候变化以及气候变化对生物、地球化学、沉积学、水文学和社会系统的影响的多学科研究。这些主题涉及来自加州大学圣克鲁斯分校5个系(地球科学、海洋科学、环境毒理学、生态学和进化生物学以及环境研究)的教职员工、研究人员和学生。该设施将支持两个主要的研究途径。首先，将利用区域气候模型调查主要感兴趣区域的未来气候情景。第二，区域气候模型成果将用于一系列研究，重点是各种区域生物系统(边缘海洋生态系统、海洋藻华、陆地动植物生态系统)、化学系统(水质、污染物扩散)、水文学系统(地表和地下水流)、沉积学系统(滑坡和冰川灾害)和社会系统(水管理)对气候变化的反应。研究人员将使用先进的区域气候模型来研究未来气候变化的情景，其中包括温室气体和气溶胶水平的增加，以及预测未来土地利用变化的情景。区域模拟个例将在40、30和20公里的模式分辨率下进行，以研究空间分辨率对结果的影响。该项目将对未来气候变化在区域范围内可能产生的影响提供多学科和多层面的观点。该项目将让研究生和本科生参与研究和计算机项目，寻求让代表性不足的学生参与科学研究，并允许将这项研究的成果纳入5个不同系的18门不同课程。

Under the Major Research Instrumentation program, a computational laboratory will be acquired that will facilitate and unite multidisciplinary research focused on regional climate change and the effects of that climate change on biologic, geochemical, sedimentologic, hydrologic, and societal systems. These topics involve faculty, researchers and students from 5 departments at the University of California, Santa Cruz (Earth Sciences, Ocean Sciences, Environmental Toxicology, Ecology and Evolutionary Biology, and Environmental Studies). Two main research avenues will be supported by this facility. First, a regional climate model will be utilized in investigations of future climate scenarios for key regions of interest. Second, the regional climate model results will be applied to a range of studies that focus on responses to climate change by various regional biologic (marginal marine ecosystems, marine algal blooms, terrestrial floral and fauna ecosystems), chemical (water quality, contaminant dispersal), hydrologic (surface and groundwater flow), sedimentologic (land slide and glacial hazards), and societal (water management) systems. The researchers will use an advanced regional climate model to investigate future climate change scenarios that include increasing levels of greenhouse gases and aerosols and for scenarios of projected future land use changes. Regional modeling cases will be carried out at model resolutions of 40, 30, and 20 km., to investigate effect of spatial resolution upon results. This project will provide a multidisciplinary and multidimensional view of the possible effects of future climate change at regional scales. The project will involve graduate and undergraduate students in research and computing projects, seek to engage underrepresented students in scientific research, and allow for the inclusion of results from this research to be incorporated into 18 different courses across 5 different departments.