Time | Speaker | Title | Resources | |
---|---|---|---|---|
09:30 to 09:45 | -- | Opening | ||
09:45 to 10:00 | Spenta Wadia | ICTS - A new initiative in Indian science | ||
11:15 to 12:30 | Christopher Jones | Overview of Approaches to Data Assimilation | ||
12:30 to 14:00 | -- | Lunch | ||
14:00 to 16:00 | Amit Apte | Basic setup of tutorials and matlab | ||
16:00 to 16:30 | -- | Tea | ||
16:30 to 17:30 | Lakshmivarahan | Introduction to inverse problems |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
09:30 to 10:45 | Elaine Spiller | Basic Introduction to Probability and Simulations | ||
10:45 to 11:15 | -- | Tea | ||
11:15 to 12:30 | Lakshmivarahan | Introduction to inverse problems | ||
12:30 to 14:00 | -- | Lunch | ||
14:00 to 16:00 | Lakshmivarahan and Amit | Tutorial on SVD etc. | ||
16:00 to 16:30 | -- | Tea | ||
16:30 to 17:30 | -- | Participants Questions |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
09:30 to 10:45 | Eric Kostelich | Dynamical systems and uncertainty | ||
10:45 to 11:15 | -- | Tea | ||
11:15 to 12:30 | Lakshmivarahan | 3D-var and iterative techniques for nonlinear problems | ||
12:30 to 14:00 | -- | Lunch | ||
14:00 to 16:00 | Elaine Spiller | Tutorial - Random variables and sampling | ||
16:00 to 16:30 | -- | Tea | ||
16:30 to 17:30 | David Dewitt | Introduction to Dynamical Models and Theory Behind Seasonal Forecasting |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
09:30 to 10:45 | Eric Kostelich | The local ensemble transform Kalman filter | ||
10:45 to 11:15 | -- | Tea | ||
11:15 to 12:30 | Elaine Spiller | Brief Introduction to Probability and Simulation: Part 2 - Monte Carlo and Importance Sampling | ||
12:30 to 14:00 | -- | Lunch | ||
14:00 to 16:00 | Amit Apte | Ensemble (Transform) Kalman Filter | ||
16:00 to 16:30 | -- | Tea | ||
16:30 to 17:30 | David Dewitt | Seasonal Forecasting: Physical Parameterization, Model Bias, Initialization and Skill Evaluation |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
09:30 to 10:45 | -- | Lakshmivarahan | ||
10:45 to 11:15 | -- | Tea | ||
11:15 to 12:30 | Didier Auroux | Nudging methods in geophysical data assimilation: Part 1 -- Standard nudging and asymptotic observers | ||
12:30 to 14:00 | -- | Lunch | ||
14:00 to 16:00 | Lakshmivarahan | Inverse problems: satellite observations; interpolation | ||
16:00 to 16:30 | -- | Tea | ||
16:30 to 17:30 | -- | Participants Questions |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
10:45 to 11:15 | -- | Tea | ||
11:15 to 12:30 | Didier Auroux | Nudging methods in geophysical data assimilation: Part 2 -- optimal nudging and comparisons | ||
12:30 to 14:00 | -- | Lunch | ||
14:00 to 16:00 | Elaine Spiller | Tutorial - Monte Carlo and Importance Sampling | ||
16:00 to 16:30 | -- | Tea |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
09:30 to 10:45 | Lenny Smith | The Geometry of Data Assimilation in Maths, Physics, Forecasting and Decision Support | ||
10:45 to 11:15 | -- | Tea | ||
11:15 to 12:30 | Didier Auroux | Nudging methods in geophysical data assimilation: Part 3 - Back and forth nudging | ||
12:30 to 14:00 | -- | Lunch | ||
14:00 to 16:00 | Didier Auroux | Nudging methods in geophysical data assimilation: Hands-on lab | ||
16:00 to 16:30 | -- | Tea | ||
16:30 to 17:00 | Elaine Spiller | Brief Introduction to Probability and Simulation: Part 3 - Bootstrapping and Particle Filter |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
09:30 to 10:45 | Lenny Smith | The Geometry of Data Assimilation 2: gradient descent (GD) and indistinguishable states importance sampler (ISIS) | ||
10:45 to 11:15 | -- | Tea | ||
11:15 to 12:30 | Lakshmivarahan | Kalman filtering | ||
12:30 to 14:00 | -- | Lunch | ||
14:00 to 16:00 | Emma Suckling | Gradient descent | ||
16:00 to 16:30 | -- | Tea | ||
16:30 to 17:00 | -- | Projects Discussions |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
08:30 to 09:30 | -- | Registration | ||
09:30 to 10:00 | Didier Auroux | Diffusive Back and Forth Nudging algorithm | ||
10:00 to 10:30 | D Jagadheesha | Some observations on retrieval of geophysical parameters from GPS-RO derived refractivty | ||
10:30 to 11:00 | -- | Tea | ||
11:00 to 11:30 | Hariharan Narayanan | Testing the manifold hypothesis | ||
11:30 to 12:00 | Akila S | An Application of Extended Kalman Filter for Spacecraft Orbit Estimation | ||
12:00 to 12:30 | School Participants | Presentations | ||
12:30 to 14:00 | -- | Lunch | ||
14:00 to 14:40 | Sanjoy Mitter | Duality between estimation and control | ||
14:40 to 15:10 | Ananthasayanam Mudambi | Kalman Filter Design By Tuning Its Statistics Or Gains? | ||
15:10 to 15:30 | -- | Tea | ||
15:30 to 16:30 | School Participants | Presentations | ||
16:30 to 17:30 | S. Lakshmivarahan | Forward Sensitivity Approach to dynamic data assimilation |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
09:30 to 10:00 | Chakravarthy Balaji | Towards a multi-satellite radiance assimilation in regional models for track forecasting of tropical cyclones | ||
10:00 to 10:30 | Elaine Spiller | Particle filter for glider data assimilation | ||
10:30 to 11:00 | -- | Tea | ||
11:00 to 11:30 | Emma Suckling | Gradient descent for the point vortex model | ||
11:30 to 12:00 | M. Vanninathan | Models of Fluid-Structure Interaction and Exact Controllability | ||
12:00 to 12:30 | P.N. Vinaychandran | Indian ocean modelling: opportunities and challenges for data assimilation | ||
12:30 to 14:00 | -- | Lunch | ||
14:30 to 15:00 | Pradeep Kumar Thapliyal | Atmospheric parameters from Indian Geostationary Satellites for assimilation in NWP model | ||
15:30 to 16:00 | C.V. Srinivas | Impact studies with Data Assimilation using Nudging and 3DVAR on the simulation of few Atmospheric Systems | ||
16:00 to 16:30 | Chris Jones | Assimilation of Lagrangian data | ||
16:30 to 17:30 | A. Chandrasekar | 3D-VAR assimilation studies over the Indian ocean region: results of impact studies |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
10:00 to 10:30 | Lenny Smith | Model error and data assimilation | ||
10:30 to 11:00 | K. Karmeshu | Nonlinear Stochastic Modelling, Critical Phenomena and Entropy | ||
11:00 to 11:30 | -- | Tea | ||
11:30 to 12:00 | Mythily Ramaswamy | Optimal control problem for Burgers equation | ||
12:00 to 12:30 | -- | Closing | ||
12:30 to 14:00 | -- | Lunch |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
10:45 to 12:30 | -- | Tea | ||
12:30 to 14:00 | -- | Lunch | ||
16:00 to 16:30 | -- | Tea |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
10:45 to 12:30 | -- | Tea | ||
12:30 to 14:00 | -- | Lunch | ||
16:00 to 16:30 | -- | Tea |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
10:45 to 12:30 | -- | Tea | ||
12:30 to 14:00 | -- | Lunch | ||
16:00 to 16:30 | -- | Tea |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
10:45 to 12:45 | -- | Tea | ||
12:30 to 14:00 | -- | Lunch | ||
16:00 to 16:30 | -- | Tea |
Time | Speaker | Title | Resources | |
---|---|---|---|---|
10:45 to 12:30 | -- | Tea | ||
12:30 to 14:00 | -- | Lunch | ||
16:00 to 16:30 | -- | Tea |