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

为支持将于2007年1月在澳大利亚举行的“全球测地系统科学：影响的概念I讲习班”提供了资金。讲习班的主题是全球测地系统中的大规模耦合模式和数据同化。这次研讨会是IEEE地球观测委员会(ICEO)正在进行的一系列国际地球观测系统研讨会中举办的第一次活动，专门关注与地球观测系统有关的科学主题。全球对地观测系统(GEOSS)是一个由传感器、通信设备、存储系统、计算和其他设备组成的复杂系统，共同用于观测地球并最终更好地了解地球的过程。全球测地系统的目标被设想为可持续发展问题世界首脑会议目标的一部分，是在理解导致可持续管理地球的进程方面向前迈出的重要一步。更广泛的影响研讨会将开始讨论实施和应用全球测地系统所涉及的重大科学问题。全球测地系统前所未有的规模和范围给复杂环境模拟和数据同化系统的发展提出了新的问题。这些主要问题之一围绕着如何最佳地使用具有各种特征的多维、多方面和多尺度的数据集，包括时间、空间、精度、时间滞后和偏差。与这个问题密切相关的是，如何以最佳方式将如此庞大和不同的数据集同化到环境和社会生物学模型中，这些模型通过多种不同的方式耦合在一起，例如海洋-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惠益领域相关的复杂相互作用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.