关于在南京大学举办“地球系统预报的数据同化”夏季国际讲习班的通知
（第一轮）
由yl6809永利官网、中尺度灾害性天气教育部重点实验室主办的“地球系统预报的数据同化（DataAssimilation for Earth System Prediction）2017国际夏季高级讲习班”，定于2017年8月28至9月1日在南京大学仙林校区举行。
一、讲习内容与形式：
本次讲习班特别邀请了美国气象学会（AMS）会士、美国国家大气研究中心（NCAR）数据同化研究首席、资深研究员Jeffrey L. Anderson，美国国家海洋和大气管理局（NOAA）气象学家、NCEP GSI/EnKF创始者Jeffrey S. Whitaker，美国国家环境预报中心（NCEP）飓风研究首席、美国马里兰大学兼职助理教授Daryl T. Kleist，英国雷丁大学教授、英国国家地球观测中心数据同化中心主任、数据同化研究中心首席Peter Jan van Leeuwen等国际资深专家教授，围绕地球系统预报的数据同化开展系列讲座和教程。此讲习班将由数据同化的基础出发，延展至数据同化研究领域的国际最新进展和成果，如粒子滤波、模式误差和相关观测误差的处理等；既包括关于数据同化理论的实践操作，又涵盖数据同化在国际领先的气象业务中心的应用和进展，如四维变分、基于集合的数据同化、混合的集合-变分同化方案等。
此次讲习班致力于提高大气科学科研与业务部门青年学者和研究生在数据同化、数值天气预报和地球系统模拟方面的研究水平与创新能力，并拓展其国际视野。
二、学习对象：
欢迎从事数据同化、数值天气预报、地球系统模拟以及地球系统可预报性等研究方向的研究生、博士后及青年科研人员报名参加。培训人数：40人。学员需要有一定的数据同化和数值天气、气候预报基础及计算机编程能力，并能流利地进行英文交流。
三、时间地点：
报到时间：2017年8月27日下午2:00报到开始
报到地点：南京大学仙林校区yl6809永利官网
授课时间：2017年8月28－9月1日，共5天（详细日程见后）
授课地点：南京大学仙林校区yl6809永利官网
住宿地点：南京大学仙林校区国际会议中心
四、相关费用：
此讲习班不收取报名费、培训费。学员交通费用及食宿费用自理。
五、报名方法：
由于本次讲习班授课人数限制，参加人员需具有从事数据同化相关研究的基础和兴趣。如果您或您的学生及同事从事数据同化相关研究，有兴趣参加此次培训，请于2017年7月10日前向会务组报名，提交一份英文简历，发至lililei@nju.edu.cn和yizhang@nju.edu.cn，简述您的科研工作和您所希望此讲习班对您科研的帮助。您的申请通过之后，会务组将于7月20日前email通知您，并发第二轮通知。
六、会务组联系方式：
地址：南京市栖霞区仙林大道163号yl6809永利官网
邮编：210023
联系人：张少宝：zhsb@nju.edu.cn，手机：13512514467
汪然：ranwang@nju.edu.cn，手机：13951724249
雷荔傈：lililei@nju.edu.cn，手机：13182909059
七、日程详情：
见后。
南京大学中尺度灾害性天气教育部重点实验室
yl6809永利官网
2017-6-1
DataAssimilation for Earth System Prediction
Dates
August 28 2017 – September 1 2017
Location
School of Atmospheric Sciences
Xianlin Campus, Nanjing University
Organization
Key Laboratory of Mesoscale Severe Weather of Ministry ofEducation,
School of Atmospheric Sciences,
Nanjing University
Lecturers
Jeffrey L. Anderson (NCAR)
Jeffrey S. Whitaker (NOAA)
Daryl Kleist (NCEP)
Peter Jan van Leeuwen (University of Reading)
Summary
Data assimilation, the fusion of observations with modelforecasts, is one of the most important and challenging aspects of predictionof our earth system, including the atmosphere, ocean, land, sea ice, and so on.Sophisticated data assimilation algorithms that combines ingredients fromnumerical modeling, observational studies, statistics, and dynamics of theearth system, have been developed at operational centers around the world.Exciting new data assimilation algorithms that aim to better understand theearth system are also being developed. This one-week summer school will bringtogether experts from leading prediction centers and researchers from topinstitutes and universities. A broad overview of statistics, numerical modelingand observations will introduce explorations of the operational dataassimilation methodologies, such as three- and four-dimensional variationaldataassimilation, and ensemble-based assimilation algorithms. Recently developedhybrid data assimilation techniques will be also presented. Finally, topics onthe frontier of data assimilation research, including the particle filter,incorporating new observation types, dealing with model error and correlatedobservations, will be explored along with implications for improving thequality of predictions.
Participants
Graduate students, recent recipients of a Ph.D., andresearchers at operational centers, whose research interests extend dataassimilation, numerical weather prediction, and atmospheric predictability.Maximum of participants is 40.
Registration
Registration is free, but you need to cover your own travel,lodging and per diem.
How to Apply
Please submit a CV that summarizes your recent research andyour expectation of the summer school to the committeeat lililei@nju.edu.cn and yizhang@nju.edu.cn before 10 July 2017.Notification will be sent shortly after the due date.
How to contactus
Address：School of Atmospheric Sciences, Nanjing University,XianlinDadao #163, Qixia, Nanjing, 210023
Contacts：Shaobao Zhang, zhsb@nju.edu.cn, Cell 13512514467
Ran Wang,ranwang@nju.edu.cn, Cell 13951724249
Lili Lei, lililei@nju.edu.cn, Cell 13182909059
Key Laboratory of MesoscaleSevere Weather, Ministry of Education
School of Atmospheric Sciences
Nanjing University
Agenda
Monday August 28, 2017
Morning
08:20-08:30 Openingceremony
08:30-10:00 Introduction to Data Assimilation (Dr. Jeff Anderson, NCAR)
10:00-10:30 Break
10:30-11:50 Bayes Theorem and quickoverview of all methods(Dr.Jeff Whitaker, NOAA)
Afternoon
14:00-15:30 Basic Maths -Covariances (Dr.JeffWhitaker, NOAA)
15:30-16:00 Break
16:00-17:20 Practicalcovariances (Dr.Jeff Whitaker, NOAA)
Tuesday August 29, 2017
Morning
08:30-10:00 (Ensemble) Kalman filters: theory (Dr. Jeff Anderson, NCAR)
10:00-10:30 Break
10:30-11:50 Variational methods: theory (Dr. Daryl Kleist, NCEP)
Afternoon
14:00-15:30Practical EnKF (Dr.Jeff Anderson, NCAR)
15:30-16:00 Break
16:00-17:20 PracticalEnKF (Dr.Jeff Anderson, NCAR)
Wednesday August 30, 2017
Morning
08:30-10:00 Variational methods: practical aspect (Dr. Daryl Kleist, NCEP)
10:00-10:30 Break
10:30-11:50 Particle filters: theory (Dr. Peter Jan van Leeuwen,Univ. of Reading)
Afternoon
14:00-15:30 Practicalvariational methods (Dr. Daryl Kleist, NCEP)
15:30-16:00 Break
16:00-17:20 Practicalvariational methods(Dr. Daryl Kleist, NCEP)
18:00-20:00 Dinner
Thursday August 31, 2017
Morning
08:30-10:00 Ensemble Kalman filters and hybrids (Dr. Jeff Whitaker, NOAA)
10:00-10:30 Break
10:30-11:50 Particle filters: hybrids (Dr. Peter Jan van Leeuwen,Univ. of Reading)
Afternoon
14:00-15:30 Practicalparticle filter (Dr. Peter Jan van Leeuwen, Univ. of Reading)
15:30-16:00 Break
16:00-17:20 Practicalparticle filter(Dr. Peter Jan van Leeuwen, Univ. ofReading)
Friday September 1, 2017
Morning
08:30-9:20Accounting for model uncertainty and issues with localization (Dr. Jeff Whitaker, NOAA)
9:20-10:10 Parameter estimation (Dr. Daryl Kleist, NCEP)
10:10-11:00 Methods for assimilatingobservations with correlated error covariances in sequential filters (Dr. Jeff Anderson, NCAR)
11:00-11:50 Representation errors (Dr. Peter Jan van Leeuwen,Univ. of Reading)
Adjourn