Workshop on Numerical Weather Prediction and Data Assimilation

Friday (April 20, 2018)
Conference Venue: Room 1801, East GuangHualou, Fudan University, Shanghai

OBJECTIVES
The purpose of this workshop is to strengthen the collaboration among the colleagues in Numerical Weather Prediction and Data Assimilation.

Invited Speakers

• Roland Potthast (German Weather Service and University of Reading)

09:30-10:30
Ensemble Data Assimilation and Bayesian Methods for Large-Scale Applications

• Wei Han (China Meteorological Administration)

10:30-11:00
Some problems in the data assimilation systems

• Yongzhu Liu (China Meteorological Administration)

11:00-11:30
Application of Lanczos algorithms in GRAPES 4DVAR and optimal perturbation

• Jincheng Wang (China Meteorological Administration)

13:30-14:00
The background covariance error in GRAPES data assimilation system

• Hao Wang (China Meteorological Administration)

14:00-14:30
Assimilation of water vapor channel emissivity data in geostationary satellites

• Ruoying Yin (China Meteorological Administration)

14:30-14:50
A study on channel selection of new geostationary meteorological satellites

• Haiqin Chen (China Meteorological Administration)

14:50-15:10
Radar reflectivity 1d+3dvar assimilation method

• 15:10-15:30 Tea break

• 15:30-17:30 Discussion

Local Organizers
Jin Cheng, Shuai Lu

Co-organized by:
School of Mathematical Sciences, Fudan University
Shanghai Key Lab of Contemporary Applied Math.
Nonlinear Mathematical Modeling and Methods Lab.
E-Institute of Shanghai Universities

Sponsors
National Science Foundation of China