14th CAS-TWAS-WMO Forum 

Data Assimilation Summer School and Coupled Data Assimilation Symposium 

1-3 July and 5-8 July, 2015     Beijing, China

First Circular 

http://2015ctwf-icces.csp.escience.cn/ 

Objectives and Themes 

    The purpose of the Data Assimilation Summer School is to train graduate students and young scientists with comprehensive lectures by world leading scientists in various aspects of start-of-the-art data assimilation sciences ranging from theory to applications.

    The primary theme of the Coupled Data Assimilation (DA) Symposium is "coupled data assimilation" in which "coupling" can be broadly interpreted to three subject areas:

    (1) data assimilation for coupled systems that may include interactions among atmosphere, land, water, chemistry, biosphere, and human dimensions;

    (2) data assimilation that couples different temporal and/or spatial scales;

    (3) data assimilation that couples and/or hybridizes different DA methods.

Conference Format 

    The format of the conference will consist of a main line of invited lectures and selected plenary presentations covering the Data Assimilation Summer School and the Coupled Data Assimilation Symposium.

Important Dates 

Deadline for on-line registration: April 15, 2015

Notice of abstract acceptance: April 30, 2015

Venue 

Conference Room 101

Institute of Atmospheric Physics,

Chinese Academy of Sciences,

40# Hua Yan Li, Qi Jia Huo Zi,

Chao Yang District, P. O. Box 9804, Beijing 100029, P. R. China

Hotel 

Holiday Inn Express Beijing Minzuyuan

Add: No.1 Minzuyuan Road, Chaoyang District, Beijing P. R. China 100101

Tel: 86-10-59269090

Fax: 86-10-59269088

Invited speakers

Data Assimilation Summer School 

Dale Baker, Met Office, UK

Peter Houtekamer, Environmental Canada

Eugenia Kalnay, University of Maryland, USA

Masafumi Kamachi, MRI, Japan

Peter Jan van Leeuwen, University of Reading, UK

Richard Menard, Canadian Meteorological Center

Takemasa Miyoshi, RIKEN, Japan

Jonathan Poterjoy, NCAR

Ming Xue, University of Oklahoma and Nanjing University

Zong-Liang Yang, University of Texas at Austin

Fuqing Zhang, Penn State University

Minghua Zhang, Stony Brook University/SUNY

Shaoqing Zhang, GFDL

Jiang Zhu, Institute of Atmospheric Physics, CAS

Xiaolei Zou, NUIST

Coupled Data Assimilation Symposium   

Dale Baker, Met Office, UK 

Massimo Bonavita, ECMWF 

Francois Counillon, Nasen Environmental and Remote Sensing Center, Norway 

Yosuke Fujii, MRI, Japan 

Peter Houtekamer, Environmental Canada 

Eugenia Kalnay, University of Maryland, USA 

Masafumi Kamachi, MRI, Japan 

Noel Keenlyside, University of Bergen, Norway 

Christian L. Keppenne, NASA, USA 

Peter Jan van Leeuwen, University of Reading, UK 

Ye Liu, Swedish Meteorological and Hydrological Institute 

Zhengyu Liu, University of Wisconsin/Peking University 

Jin-Jia Luo, Centre for Australian Weather and Climate Research 

Richard Menard, Canadian Meteorological Center 

Zhiyong Meng, Peking University 

Takemasa Miyoshi, RIKEN, Japan 

Jonathan Poterjoy, NCAR 

Bin Wang, Institute of Atmospheric Physics, CAS 

Ming Xue, University of Oklahoma and Nanjing University 

Shu-Chih Yang, National Central University/University of Maryland 

Zong-Liang Yang, University of Texas at Austin 

Fuqing Zhang, Penn State University 

Minghua Zhang, Stony Brook University/SUNY 

Shaoqing Zhang, GFDL 

Jiang Zhu, Institute of Atmospheric Physics, CAS 

Xiaolei Zou, NUIST 

Local Organizing Committee 

Chair: Jiang Zhu, Institute of Atmospheric Physics, CAS

Co-Chair:

Minghua Zhang, Stony Brook University/SUNY

Fuqing Zhang, Pennsylvania State University

Members:

Zhiyong Meng, Peking University

Fei Zheng, Institute of Atmospheric Physics, CAS

Secretariat 

Ms. Ting Tong,

Institute of Atmospheric Physics, CAS

Email: ctwf@mail.iap.ac.cn

Tel: 86-10-82995124

Sponsors 

The 14th CTWF extends its appreciation to the following sponsors for their invaluable commitment and support:

？ Chinese Academy of Sciences (CAS)

？ The World Academy of Sciences - for the advancement of science in developing countries(TWAS)

？ Peking University (PKU)