EN61
The Future of Data Assimilation: 4D-Var or Ensemble Kalman Filter? Eugenia Kalnay Department of Meteorology and Chaos Group University of Maryland Chaos/Weather.
Munehiko Yamaguchi Meteorological Research Institute of Japan Meteorological Agency Studies on Tropical Cyclone Forecasting using TIGGE 11 th Session of.
Ensemble Sensitivity Analysis Applied to Tropical Cyclones: Preliminary Results from Typhoon Nuri (2008) Rahul Mahajan & Greg Hakim University of Washington,
Data Assimilation Tristan Quaife, Philip Lewis. What is Data Assimilation? A working definition: The set techniques the combine data with some underlying.
Nonlinear Data Assimilation using an extremely efficient Particle Filter Peter Jan van Leeuwen Data-Assimilation Research Centre University of Reading.
ASSIMILATING EARTH OBSERVATION DATA INTO VEGETATION MODELS Tristan Quaife DARC seminar 11 th July 2012.
Ekaterina Klimova Ekaterina TECHNIQUE OF DATA ASSIMILATION ON THE BASIS OF THE KALMAN FILTER Institute of Computational Technologies SB RAS [email protected].
A Crop Simulation System for Integrating Remote Sensing and Climate Information to Reduce Model Uncertainty in Crop Yield Assessments Kiyoshi Honda 1,
Progress with land DA P. Lewis UCL Geography & NERC NCEO.
Better Data Assimilation through Gradient Descent Leonard A. Smith, Kevin Judd and Hailiang Du Centre for the Analysis of Time Series London School of.
Bayesian Estimation of Reproductive Number for Tuberculosis in India
