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Jean-Nöel Thépaut (ECMWF) |
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JN1 |
Satellite Data for Numerical Weather Prediction: I |
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JN2 |
Satellite Data for Numerical Weather Prediction: II |
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JN3 |
New applications of Satellite Data Assimilation: Reanalyses, Atmospheric Composition, climate monitoring and much more... |
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Martin Visbeck (GEOMAR) |
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MV1 |
Global Ocean In-Situ Observing Systems |
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MV2 |
Atlantic Ocean Overturning Circulation |
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MV3 |
The Future Ocean: To warm, to high turning sour |
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Johanna Tamminen (Finnish Meteorological Institute) |
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JT1 |
Inverse problems and uncertainty quantification in remote sensing |
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JT2 |
Markov chain Monte Carlo technique with applications in remote sensing of atmospheric composition |
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JT3 |
Priors, posteriors and model uncertainty |
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Peter Minnett (University of Miami) |
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PM1 |
Satellite Oceanography: Sea-Surface Temperature and Climate Data Records |
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PM2 |
Satellite Oceanography: Ocean color |
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PM3 |
Applications of microwave radiometry in ocean and atmospheric science |
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Claudia Kuenzer (DLR) |
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CK1 |
Physical Principles of Remote Sensing |
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CK2 |
Image Classification |
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CK3 |
Thermal Remote Sensing |
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Iarla Kilbane-Dawe (Ind. Science & Policy Researcher) |
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IK1 |
Deciding whats over the horizon - creating new innovation |
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IK2 |
Making ideas work - developing innovations that people want |
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IK3 |
Creating demand for innovations - marketing and communications strategie |
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Andreas Kääb (University of Oslo) |
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AK1 |
Remote sensing of glaciers and ice caps 1: area and mass changes |
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AK2 |
Remote sensing of glaciers and ice caps 2: dynamics |
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AK3 |
Remote sensing of glaciers and ice caps 3: natural hazards |
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Alan O'Neil (NCEO) |
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AO1 |
The theory of data assimilation: basic concepts |
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AO2 |
Data assimilation: practical algorithms |
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AO3 |
Exploiting Earth Observations with data assimilation |
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Reiner Rummel (Technische Universität München) |
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RR1 |
ESA explorer mission GOCE: earth gravity from space |
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RR2 |
Signal processing on a sphere |
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RR3 |
Gravity and Earth Sciences |
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Ernesto Lopez-Baeza (Universitat de Valencia) |
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EL1 |
Physical Principles of Passive Microwave Radiometry. Soil Moisture |
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EL2 |
Soil Moisture Estimation from Space and its Validation |
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EL3 |
Remote Sensing Applications for Land/Atmosphere: Earth Radiation Balance |
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Michel Verstraete (JRC) |
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VM1 |
Introduction to radiation anisotropy |
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VM2 |
Observing Earth from different directions with MISR |
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VM3 |
Exploiting the spectral and directional signatures of land surfaces |
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Roberto Sabia (ESA) |
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SR1 |
Satellite Oceanography: Ocean Salinity |
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Stefano Nativi (CNR) |
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SN1 |
Cyberinfrastructures in Earth Sciences |
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DA Data Assimilation Practicals |
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DA1 |
Effect of statistical analysis parameters |
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DA2 |
4D-Var and incremental 4D-Var |
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DA3 |
Ensemble and extended Kalman filters |
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DA4 |
Projects |
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DA5 |
Student's Projects |
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RS Remote Sensing Practicals |
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RS1 |
Measuring productivity in the Benguela upwelling system |
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RS2 |
Sea Surface Temperature and the Indian Ocean Dipole |
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RS3 |
Monitoring oil pollution using SAR and optical data |
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RS4 |
Exploring the Sensitivity of Passive Microwave Signatures to Different Surface and Observation Conditions |
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RS5 |
Rice mapping in the Phillipnes |
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RS6 |
Anisotropy |
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