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

在主要研究仪器项目下，将获得一个计算实验室，该实验室将促进和联合多学科研究，重点关注区域气候变化及其对生物、地球化学、沉积学、水文和社会系统的影响。这些课题涉及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、环境研究）的教师、研究人员和学生。该设施将支持两个主要的研究途径。首先，区域气候模式将用于重点地区未来气候情景的研究。其次，区域气候模型的结果将应用于一系列研究，重点关注各种区域生物系统（边缘海洋生态系统、海洋藻华、陆生动植物生态系统）、化学系统（水质、污染物扩散）、水文系统（地表水和地下水流动）、沉积系统（滑坡和冰川灾害）和社会系统（水管理）对气候变化的响应。这组科学家将使用一个先进的区域气候模型来调查未来的气候变化情景，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。在40、30和20 km模式分辨率下进行区域模拟案例，研究空间分辨率对结果的影响。该项目将在区域尺度上对未来气候变化可能产生的影响提供多学科和多维视角。该项目将让研究生和本科生参与研究和计算项目，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结果纳入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.