GEOSS Science: Concepts to Impacts I Workshop to be held in Australia in January, 2007.

提供资金支持将于2007年1月在澳大利亚举行的“全球测地系统科学：影响概念第一期讲习班”。讲习班的主题是全球测地系统中的大尺度耦合模型和数据同化。该讲习班是IEEE地球观测委员会（ICEO）在正在进行的全球测地系统国际系列讲习班中组织的第一次活动，专门侧重于与全球测地系统有关的科学主题。全球对地观测分布式系统（GEOSS）是一个由传感器、通信设备、存储系统、计算和其他设备协同使用，以观察地球，并最终来更好地了解地球的过程。全球对地观测分布式系统的目标被设想为可持续发展问题世界首脑会议（可持续发展问题世界首脑会议）目标的一部分，代表着在理解导致可持续地管理地球的过程方面向前迈出的重大步骤。讲习班将开始讨论全球测地系统实施和应用所涉及的主要科学问题。全球测地系统的规模和范围前所未有，对复杂环境建模和数据同化系统的开发提出了新的问题。这些主要问题之一围绕着如何最佳地使用具有各种特征（包括时间、空间、精度、时滞和偏差）的多维、多方面和多尺度数据集。与这个问题密切相关的是，如何将如此庞大而不同的数据集最佳地同化到环境和社会生物学模型中，这些模型通过许多不同的方式耦合，例如耦合海洋-大气，云-气候，海洋-陆地和农业-能源-运输模型。因此，与全球测地系统社会效益领域相关的复杂互动模型和相关数据系统的科学是本次讲习班的主题。

Funding is provided to support the "GEOSS Science: Concepts to Impacts I Workshop" to be held in Australia in January, 2007. The themes of the workshop are large scale coupled models and data assimilation in GEOSS. This workshop is the first event organized by the IEEE Committee on Earth Observations (ICEO) in an ongoing international series of GEOSS workshops to focus specifically on science themes pertinent to GEOSS.The Global Earth Observation System of Systems (GEOSS) is a complex system of sensors, communication devices, storage systems, computational and other devices used in concert to observe the Earth and eventually come to a better understanding of the Earth's processes. The objectives of GEOSS were envisioned as part of the goals of the World Summit on Sustainable Development (WSSD) and represent major steps forward in understanding the processes that lead to sustainable stewardship of the Earth. Broader ImpactsThe workshop will begin to address major science issues underlying the implementation and application of GEOSS. The unprecedented scale and scope of GEOSS presents new questions on the development of complex environmental modeling and data assimilation systems. One of these primary questions centers around how to optimally use a multidimensional, multifaceted, and multiscale set of data with a broad variety of characteristics, including temporal, spatial, precision, time lag, and bias. Closely related to this question is the means by which such large and disparate data sets are optimally assimilated into environmental and sociobiological models that couple by a number of distinct means, for example as in coupled ocean-atmosphere, cloud-climate, ocean-land, and agricultural-energy-transportation models. Accordingly, the science of complex interacting models and associated data systems of relevance to the GEOSS societal benefit areas is the theme of this workshop.