project . 2012 - 2015 . Closed

Next generation Numerical Weather Prediction: 4DVar ensembles and Particle Filters

UK Research and Innovation
  • Funder: UK Research and InnovationProject code: NE/I025484/1
  • Funded under: NERC Funder Contribution: 247,361 GBP
  • Status: Closed
  • Start Date
    31 May 2012
    End Date
    30 May 2015
Description
Data assimilation is a method to combine numerical models with observations. It is used in all environmental sciences and essential to be able to simulate the real world, instead of a pure model world which has little to do with reality. With the increasing resolution of geophysical models both the size and the nonlinearity of these models increase. Also the number of observations increases and the observation operators, which connect the model variables to the observations, become more and more complex and nonlinear, like new satellite observations and radar observations in weather forecasting. Obviously, the data-assimilation methods have to fully allow for th...
Description
Data assimilation is a method to combine numerical models with observations. It is used in all environmental sciences and essential to be able to simulate the real world, instead of a pure model world which has little to do with reality. With the increasing resolution of geophysical models both the size and the nonlinearity of these models increase. Also the number of observations increases and the observation operators, which connect the model variables to the observations, become more and more complex and nonlinear, like new satellite observations and radar observations in weather forecasting. Obviously, the data-assimilation methods have to fully allow for th...
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