This series of MOOC lectures on data assimilation are recorded during the Data Assimilation Summer School held on 1-3 July 2015, which was convened by Professor Fuqing Zhang at the Pennsylvania State University (USA) and Professor Jiang Zhu at the Institute of Atmospheric Physics, Chinese Academy of Sciences. This summer school is part of the 14th CAS-TWAS-WMO Forum sponsored by the CAS-TWAS Centre of Excellence for Climate and Environment Sciences (ICCES), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), The World Academy of Sciences (TWAS), for the advancement of science in developing countries and CAS-TWAS-WMO Forum on Climate Science (CTWF), as well as partial funding support from Peking University. 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.

Click titles below to view lectures:

• Introduction to Ensemble Kalman Filter I-Pieter Houtekamer
• Introduction to Ensemble Kalman Filter II-Pieter Houtekamer
• Atmospheric Chemistry and Transport Data Assimilation I-Richard Menard
• Atmospheric Chemistry and Transport Data Assimilation II-Jiang Zhu
• Ocean Observation, Data Quality Control and Data Assimilation-Masafumi Kamachi
• Ocean and Coupled Data Assimilation for CGCM-Shaoqing Zhang
• Covariance Localization and Inflation-Takemasa Miyoshi
• Introduction to NCAR Data Assimilation Research Testbed (DART) -Jonathan Poterjoy
• Model Uncertainty and Parameter Estimation-Fuqing Zhang
• New Application of Data Assimilation-Eugenia Kalnay
• Variational Data Assimilation, 3DVar and 4DVar-Xin Zhang