Post on 18-Dec-2015
Some template text and images for presentations on the Advanced Data
Assimilation Methods project
Bethan HarrisAssimila Ltd
Project Summary
This initiative contains tasks in three different fields which will advance data assimilation methods for large and complex geophysical datasets.
Advanced Data Assimilation Methods
Project Overview
The first task investigates new methods of performing data assimilation in a non-linear and non-Gaussian framework, in order to increase the accuracy of forecasts of geophysical systems. Traditional data-assimilation methods rely on linearity and normality, while we know that geophysical models tend to be highly nonlinear, and also the relation between the model variables and observations can be nonlinear. Since we have little knowledge of nonlinear data assimilation in the very high-dimensional geophysical systems, the task is necessarily investigating entirely new approaches to the problem.
Project Overview continued
The second task investigates the impacts of the description of model and observation errors on the solution to the data-assimilation problem. Specific work will focus on representativity errors in simple models, and on nonlinear measures of observation impact. We will also work on the determination of model errors by analysing ensemble forecasts of severe convective events.
Project Overview continued
The third task will combine the knowledge gained from the first two tasks along with a new physical radiation transfer model in order to build an advanced scheme for retrieving snow values. These retrievals – which are a long-standing problem in data assimilation, hampered by extreme non-linearity and relatively infrequent observations – hold the potential to shed new light on environmental changes in the last 30 years.
Wordle of project summary
Wordle of project proposal
Project Structure Overview
Advanced Data Assimilation Methods
Task 1Data-assimilation methods for nonlinear non-Gaussian and multi-scale problems
Reading
Task 2 Quantifying and
representing uncertainty in models and observations at
multiple scalesReading
Task 3 Exploration of advanced
data-assimilation schemes to retrieve new snow
productsReading
Task 4Outreach
Assimila
Task 6Management
Assimila
WP 1.5 (Reading) Methods to understand
and treat model bias
WP 1.4 (Reading)Variational DA experiments
in the idealised coupled system
WP1.1 (Reading) Improving nonlinear non-Gaussian data assimilation
methods using particle filters
WP1.2 (Reading) Testing the new particle
filters on high-dimensional systems with large data
sets
WP1.3 (Warwick)Improving nonlinear non-
Gaussian data-assimilation methods using MCMC
WP 2.5 (Reading) Assess the impact of
assumed and real error structures in observations
in data assimilation
WP 2.4 (Reading)Develop methods to infer the influence of satellite observations on data-assimilation problems
WP2.1 (Reading) Perform (ensemble)
experiments to quantify model errors
WP2.2 (Reading) Assess sensitivity of the errors (eg covariance
spread) to experimental setup
WP2.3 (Reading) Carry out ensembles of model runs to unravel
initial and model equation errors
WP3.1 (Reading) Develop a physically-based
model connecting grain-size distribution and outgoing
micro-wave radiation
WP3.2 (Reading) Develop a methodology for assimilation of microwave measurements for snow
mass retrieval
WP 4.5 (Assimila) Workshops and events
WP 4.4 (Assimila) Training
WP4.1 (Assimila) Planning and coordination
WP4.2 (Assimila) WWW site
WP4.3 (Assimila) Promotional material
WP5.1 (Assimila) Project management
WP5.2 (Reading) Scientific management
Design elements
• ESA Fonts available on request from bethan.harris@assimila.eu
Images – “Data”
Source: http://pixabay.com/en/binary-code-binary-binary-system-63529/
Source: http://www.fotopedia.com/items/flickr-2665444580Required reference: “photo by widdowquinn on Flickr”
Source: http://pixabay.com/en/ball-http-www-crash-administrator-63527/ Source: http://pixabay.com/en/black-business-computer-computing-18295/
Images – “Observations”
Source: http://www.fotopedia.com/items/flickr-6648960719Required Reference: “photo by NASA Goddard Photo and Video on Flickr”
Source: http://www.fotopedia.com/items/flickr-6818408270Required reference: “photo by NASA's Marshall Space Flight Center on Flickr”
Source: http://www.geograph.org.uk/photo/944298Required Reference: “Copyright Thomas Nurgent (www.geograph.org.uk/profile/48267)”
Source: http://www.fotopedia.com/items/flickr-6875674067Required Reference: “photo by NASA Goddard Photo and Video on Flickr”
Images – “Models”
Source: http://www.fotopedia.com/items/flickr-3334947628Required Reference: “photo by Argonne National Laboratory on Flickr”
Required reference: “International Space Innovation Centre”
Source: http://de.fotopedia.com/items/flickr-2656065581 Required Reference: “photo by Erica_Marshall on Flickr”Source: http://www.flickr.com/photos/clintjcl/5552929311/in/photostream/
Required Reference: “photo by Rev. Xanatos Satanicos Bombasticos on Flickr”