A Statistics Program at the National Center for Atmospheric Research

9815344Katz美国国家大气研究中心的地球物理统计项目（GSP）通过发展和应用新的统计方法对大气和海洋科学做出了贡献。该项目为NCAR的大量统计访问人员提供支持，培训年轻研究人员，并与NCAR的常驻地球物理科学家密切合作。该项目的继续将统计研究扩展到NCAR的整个科学活动范围，并在该研究中心建立了一个常设统计小组。地球物理测量的丰富性给统计科学带来了实质性的研究问题，并继续挑战统计学的边界。一些广泛的研究领域包括空间和时空过程的建模和推理、统计设计、反问题、统计计算和功能数据分析。这些统计主题在地球物理科学中有许多直接的应用，包括气候变化的检测、数值模型的改进、恶劣天气的预测和现场实验的设计。美国国家大气研究中心（NCAR）的地球物理统计项目（GSP）的主要目的是促进统计科学和地球物理科学之间的合作。NCAR是由美国国家科学基金会资助的基地，是大气基础研究的焦点，与北美各地的大学有着密切的联系。大气和海洋科学问题的复杂性（例如，大量变量和大量数据集）表明，统计可以作出重要贡献。这对统计学和数学科学也有更广泛的好处。由地球物理问题激发的新的统计方法可以转移到考虑时空数据和数值模型输出的其他领域。除了对相关科学领域的这些好处之外，这种合作研究还会给社会带来潜在的好处。例如，它可以改善天气和气候预报，以及在全球气候变化研究中更可靠地量化不确定性。这些资料对决策者和政策分析人员应具有重大价值。

9815344Katz The Geophysical Statistics Program (GSP) at the National Center for Atmospheric Research (NCAR) makes contributions to atmospheric and oceanic science through the development and application of new statistical methodology. The project supports a critical mass of statistics visitors at NCAR, trains young researchers, and involves close collaboration with resident NCAR geophysical scientists. The continuation of this project expands statistical research to the entire spectrum of scientific activity at NCAR and in so doing, establishes a permanent statistics group at this research center. The richness of geophysical measurements pose substantive research problems in statistical science and continue to challenge the boundaries of statistics. Some broad areas of research include modeling and inference for spatial and spatial/temporal processes, statistical design, inverse problems, statistical computing, and functional data analysis. These statistical topics have many direct applications to the geophysical sciences, including the detection of climate change, improvement of numerical models, prediction of severe weather, and design of field experiments. The primary purpose of the Geophysical Statistics Program (GSP) at the National Center for Atmospheric Research (NCAR) is to promote collaboration between the statistical and geophysical sciences. NCAR, base-funded by the National Science Foundation, is a focal point for basic research on the atmosphere and has strong links to universities throughout North America. The complexity of problems in the atmospheric and oceanic sciences (e.g., large numbers of variables and massive data sets) indicates that statistics could make important contributions. There is also a broader benefit to statistics and mathematical sciences. New statistical methods, motivated by geophysical problems, can be transferred to other areas which consider spatiotemporal data and the output of numerical models. Besides these benefits to the scientific fields involved, this collaborative research would result in potential benefits to society. For instance, it could lead to improved weather and climate forecasts, as well as to more reliable quantification of uncertainty in global climate change studies. Such information should be of substantial value to decision makers and policy analysts.