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2003
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Programme

Lectures

  Alan O'Neill - DARC (UK) [alan # met.rdg.ac.uk ]
AO1 (288 K) Overview of DA techniques.
AO2 (2816 K) DA theory and algorithms (OI, 3D/4Dvar, Kalman Filter).
AO3 (4128 K) DA applications (Earth System).
AO4 (96 K) DA variational methods.
  Elisabeth Gerard - Meteo France (FR) [elisabeth.gerard # meteo.fr ]
EG1 (2400 K) Assimilation of satellite data in operational meteorology.
EG2 (2736 K) Satellite data information content, channel selection and density.
EG3 (1968 K) Major advances foreseen in humidity profiling from space.
  Anthony Hollingsworth - ECMWF (UK) [a.hollingsworth # ecmwf.int ]
TH1 (2288 K) Global Earth System Monitoring using Space & in-situ data.
TH2 (7072 K) Filtering & Projection of information from optimality principles of variational analysis.
  Henk Eskes - KNMI (NL)[eskes # knmi.nl ]
HE1 (8368 K) The role of data assimilation in atmospheric composition monitoring and forecasting.
HE2 (2352 K) Stratospheric ozone: satellite observations, data assimilation and forecasts.
  Pierre Brasseur - LEGI (FR) [Pierre.Brasseur # hmg.inpg.fr ]
PB1 (9344 K) Sequential Data Assimilation methods: theoretical aspects.
PB2 (11200 K) Sequential Data Assimilation methods: implementation into primitive-equation models.
PB3 (4128 K) On the Use of Satellite data for Operational Ocean Monitoring and Forecasting: the MERCATOR system.
  Johnny Johannessen - NERSC (NO) [johnny.johannessen # nersc.no ]
JJ1 (8880 K) Overview of ocean and ice modelling.
JJ2 (19680 K) Satellite oceanography (SAR and optical).
JJ3 (6240 K) Towards operational European capability for Marine Environment and Security.
  Detlef Stammer - Uni Hamburg (DE) [stammer # ifm.uni-hamburg.de ]
DS1 (9008 K) Remote sensing of Ocean Dynamics.
DS2 (94 K) The Ocean Inverse Problem.
DS3 (7328 K) Practical Considerations of Ocean State Estimation.
  Nadia Pinardi - Uni Ravenna (IT) [n.pinardi # ambra.unibo.it ]
NP1 (6784 K) The Mediterranean operational forecasting system: state of progress.
NP2 (5744 K) Short term ocean forecasting and seasonal forecasting: forecast quality and accuracy.
  Seymour Laxon - UCL (UK) [swl # cpom.ucl.ac.uk ]
SL1 (7056 K) The cryosphere observed from space: Overview.
SL2 (8816 K) Changes in ice mass balance past, present and future: A consensus view from models and observations.
  Mark Drinkwater - ESA/ESTEC (NL) [mark.drinkwater # esa.int ]
MD1 (18608 K) ESA future missions.
MD2 (7104 K) Scientific challenges associated with ice-drift products.
  Christiane Schmullius - Uni Jena (DE) [c.Schmullius # uni-jena.de ]
CS1 (10976 K) Overview of land surface parameters from Earth Observation.
CS2 (23488 K) Land cover classification.
CS3 (52400 K) Multi-Sensor concepts for Greenhouse Gas accounting in Northern Eurasia (SIBERIA II project).
  Nadine Gobron - JRC (IT) [nadine.gobron # jrc.it ]
NG1 (4208 K) Radiative transfer for vegetation.
NG2 (4752 K) Inverse methods for development of sophisticated vegetation index.
NG3 (23648 K) Making sense of retrieval for integration into models.
  Wolfgang Knorr - MPI (DE) [knorr # dkrz.de ]
WK1 (3552 K) Overview of land surface processes and modeling.
WK2 (2032 K) Data assimilation techniques in land surface modeling.
WK3 (800 K) DA application for CO2 retrieval for climate research.
  Shaun Quegan - Uni Sheffield (UK) [s.quegan # sheffield.ac.uk ]
SQ1 (4288 K) The terrestrial carbon cycle - processes and data.
SQ2 (8672 K) Earth Observation techniques and the carbon cycle.
SQ3 (1760 K) Assimilating EO data into carbon cycle models.
  Henri Laur - ESA-ESRIN (IT) [henri.laur # esa.int ]
HL1 (4288 K) Introduction to ENVISAT Mission.

Computing Practicals

  Remote Sensing Tutorial (http://www.bilko.org)
  Naoise O'Reilly SOC (UK) [nor # soc.soton.ac.uk ]
Doug McNeal [djm202 # soton.ac.uk ]
IP1 ENVISAT toolboxes & BILKO lessons.
IP2 ENVISAT toolboxes & BILKO lessons.
IP3 ENVISAT toolboxes & BILKO lessons.

  Data Assimilation Tutorial (http://darc.nerc.ac.uk/models/)
  Amos Lawless - DARC (UK) [A.S.Lawless # reading.ac.uk ]
Stefano Migliorini [Stefano # met.reading.ac.uk ]
DA1 Effect of statistical analysis parameters I.
DA2 Sequential assimilation with the Lorenz system.
DA3 4D-Var and incremental 4D-Var for the Lorenz system.
DA4 Atmospheric retrieval methods.
DA5 Projects/ Follow up previous practicals.
DA6 Projects/ Follow up previous practicals.

                            

  Higher level                 Last modified: 05-Aug-2010