Support for the Workshop on Meteorological Sensitivity Analysis and Data Assimilation; Aveiro, Portugal; July 2-6, 2018

该奖项是为来自美国的5-6名研究人员提供差旅支持，以参加2018年7月2日至6日在葡萄牙阿韦罗举行的题为“气象敏感性分析和数据同化”的国际研讨会。 演讲将包括基础教程、最近发展路径的概述、新发现的海报或简短研讨会以及一些正式辩论。 学生将有机会展示他们的作品。 研讨会将在一个设备齐全的设施中举行，所有与会者将在那里共享膳食和晚上讨论，提供许多机会与专家进行对话，以便最大限度地利用时间。数据同化是数值天气预报的核心，而数值天气预报又是天气预报的核心。 在过去十年中，天气预报准确性的提高在很大程度上是由于数据同化提供的当前天气估计准确性的提高。 隐式或显式敏感性分析是数据同化和天气预报的关键组成部分，因为它将预测的不确定性与初始条件或观测的不确定性联系起来。 资料同化和敏感性分析都是计算密集、复杂、多学科的课题。 为了加快这些研究及其应用的进展，有必要建立适当的基础，并对所有科学主张进行强有力的评估。 这些是讲习班的主要目的，其主要社会影响是进一步改进天气分析和预报。

This award is for travel support for 5-6 researchers from the U.S. to participate in an international workshop titled: "Meteorological Sensitivity Analysis and Data Assimilation," to be held in Aveiro, Portugal from July 2-6, 2018. Presentations will include a mix of tutorials on fundamentals, overview talks on recent development paths, posters or short seminars on new findings, and some formal debates. Students will have an opportunity to present their work. The workshop will be held at a self-contained facility at which all participants will share meals and evening discussions, providing many opportunities for dialogue with and between experts to make maximum use of time.Data assimilation lies at the heart of numerical weather prediction that, in turn, lies at the heart of weather forecasting. Much of the improved accuracy of weather forecasts during the past decade is due to improvements in the accuracy of estimates of the current weather that data assimilation provides. Implicit or explicit sensitivity analysis is a key component of both data assimilation and weather forecasting, since it links uncertainties of predictions with uncertainties of initial condition or observations. Both data assimilation and sensitivity analysis are computationally intensive, complex, multidisciplinary subjects. In order to expedite progress in these studies and their applications, it is necessary to establish proper foundations and to perform robust evaluations for all scientific claims. These are the primary aims of the workshop, with its principal societal impact being the further improvement of weather analysis and forecasting.