Collaborative Research: VOCALS--Climate Simulation and Operational Forecasting Using a Regional Earth System Modeling Framework
Collaborative Research: VOCALS--Climate Simulation and Operational Forecasting Using a Regional Earth System Modeling Framework
批准号:
0748012
负责人:
Gregory Carmichael
金额:
$25.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-03-15 至 2012-02-29
中文摘要
东南太平洋内的VAMOS(VAMOS海洋-云-大气-陆地研究-VAMOS是美国季风系统项目的变异性)区域是一个全球重要的区域耦合气候制度,涉及赤道风、地形沟槽、干旱陆缘、上升流、海洋生物地球化学循环、海洋层云和气溶胶。声乐项目的一个主要动机是,该地区的全球模式误差降低了他们在整个热带太平洋地区的模拟质量,对模拟和预测的全球气候产生了重大影响。在目前可用的计算资源下,直接在全球模型中解决这些错误是困难的或不可能的,因为确定平均状态和可变性的机制具有比全球模型可以解决的更精细的空间尺度。此外,这些机制不适用于独特的和身体上受限的治疗。更复杂的是,这些机制涉及地球系统所有主要组成部分之间的相互作用,包括大气、海洋和陆地表面的物理过程,以及对海洋和大气化学的自然和人为影响。模拟这些相互关联的过程需要高分辨率(几公里),包括物理和化学子模式中的大气、海洋和陆地分量的耦合。在这个项目中,将建立一个区域地球系统模拟框架,将大气模式与陆地表面模式和海洋模式相耦合。大气模型包括化学输送和过程模型,而区域海洋模型包含完整的生物地球化学。该框架将用于阐明声乐区域的气候动态,并通过仔细的实验设计、模型验证和数据解释研究来利用声乐REX(区域实验)测量。首先,将在活动期间提供声乐REX的气象和气溶胶预报。在声乐霸王龙之后,将使用完整的地球系统模型对声乐霸王龙时期进行追溯模拟。模拟的高分辨率旨在通过将测量放在地理和气候变化的背景下来增加测量的可解释性,并增强测量对模型验证和评估的有用性。对过去60年的人声区域的模拟将把人声--霸王龙的观测和模拟放在气候变化的背景下进行。最后,VOALS区域将从NCAR CCSM(国家大气研究社区气候系统模型)全球解决方案缩减规模,将通过仔细开发和基于VOALS的区域模型验证获得的现实主义置于一个主要全球气候模型错误的背景下。所有这些模拟都将在同一模型网格上进行,以便对模型解与观测值以及彼此之间进行系统比较。这些模拟将为分析相互关联的物理和化学过程提供机会,这些过程决定了人声区域的气候。这些研究包括研究自然和人为气溶胶的地理分布;这些气溶胶对云性质的影响和云对气溶胶清除的影响;物理系统中复杂和高度结构的耦合决定了关键的气候变量,如层状物数量和上升流;以及控制二甲基硫化物(二甲基硫化物)气-海通量的海洋过程。该项目的广泛影响在于它有助于为科学研究建立人类基础设施。通过与秘鲁和智利的同事互动,研究人员将促进国际科学合作,他们将培训研究生和博士后研究员。该项目将留下基础设施建模的遗产,因为全面的区域地球系统方法首次如此系统地应用于任何地区。将开发的建模框架可以作为地球系统建模的原型,为气候预测和气候应用服务。最后,PIS建议利用在人声-霸王龙实地活动期间将采取的独特测量,以了解人声区域的相互关联的物理和化学动力学,并诊断全球模型误差中持续存在的大错误的原因,这可能为改进气候预测铺平道路。
英文摘要
The VOCALS (VAMOS Ocean-Cloud-Atmosphere-Land Study - VAMOS is the Variability of the American Monsoon System project) region within the Southeast Pacific is a globally important regional coupled climate regime involving equatorward winds, orographic channeling, arid land margins, upwelling currents, oceanic biogeochemical cycling, marine stratus clouds, and aerosols. A principal motivation for the VOCALS project is that global model errors in this region degrade the quality of their simulations throughout the tropical Pacific, with substantial impacts on the modeled and predicted global climate. It is difficult or impossible to address these errors directly in global models with currently available computational resources, because the mechanisms that determine the mean state and variability have much finer spatial scales than global models can resolve. Moreover, these mechanisms do not lend themselves to unique and physically constrained treatments. A further complication is that the mechanisms involve interactions among all major components of the Earth system, including physical processes in the atmosphere, ocean, and land surface, as well as natural and anthropogenic influences on marine and atmospheric chemistry. Simulating these interlocking processes requires high resolution (several kilometers) with coupled atmosphere, ocean, and land components in both physical and chemical submodels.In this project a regional Earth-system modeling framework will be developed, with an atmospheric model coupled to a land surface model and an oceanic model. The atmospheric model includes chemical transport and process models, while the regional oceanic model contains full biogeochemistry. This framework will be used to explicate the climate dynamics of the VOCALS region and to leverage VOCAL REx (Regional Experiment) measurements through careful experimental design and model-validation and data-interpretation studies.First, meteorological and aerosol forecasts will be provided for VOCALS REx during the campaign. After VOCALS REx, a retrospective simulation of the VOCAL REx period will be carried out using the full Earth-system model. The simulation's high resolution is intended to increase the interpretability of measurements by placing them in geographical and climate-variability context and to enhance the usefulness of measurements for model validation and evaluation. A simulation of the VOCALS region covering the past 60 years will place the VOCALS-REx observations and simulations in the context of climate variability. Finally, the VOCALS region will be downscaled from an NCAR CCSM (National Center for Atmospheric Research Community Climate System Model) global solution, placing the realism gained through careful development and VOCALS-REx-based validation of the regional model in the context of the errors in a major global climate model. All these simulations will be performed on the same model grid to allow for systematic comparison of model solutions with observations and with each other. The simulations will provide opportunities for analyses of interlocking physical and chemical processes that determine the climate of the VOCALS region. These include studies of the geographical distribution of natural and anthropogenic aerosols; the impact of these aerosols on cloud properties and the effects of clouds on aerosol scavenging; the intricate and highly-structured couplings in the physical system determining key climate variables such as stratus amount and upwelling; and the oceanographic processes controlling air-sea fluxes of DMS (dimethyl sulfide).Broader impacts of this project are in its contributions to building human infrastructure for science research. Through interactions with colleagues in Peru and Chile, the investigators will foster international scientific collaboration, and they will train graduate students and postdoctoral fellows. The project will leave a legacy of modeling infrastructure, as the first time a holistic regional Earth-systems approach has been applied so systematically to any region. The modeling framework to be developed can serve as a prototype for Earth-system modeling in the service of climate prediction and climate applications. Finally, the PIs propose to capitalize on the unique measurements to be taken during the VOCALS-REx field campaign to understand the interlocking physical and chemical dynamics of the VOCALS region and to diagnose the causes of large, persistent errors in global models errors, potentially paving the way for improvements in climate predictions.
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依托单位:
国内基金
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