Orals IE3.2/NP4.3
|
Wednesday, 26 April 2017 Room L2 Chairperson: Peter Baumann, Mikhail Kanevski |
|
| 08:30–08:45 |
EGU2017-1102
Towards a global flood detection system using social media Highlight Jens de Bruijn, Hans de Moel, Brenden Jongman, and Jeroen Aerts |
| 08:45–09:00 |
EGU2017-5651
Dimensionality reduction and network inference for sea surface temperature data Fabrizio Falasca, Annalisa Bracco, Athanasios Nenes, Constantine Dovrolis, and Ilias Fountalis |
| 09:00–09:15 |
EGU2017-10097
Applying machine learning to global surface ocean and seabed data to reveal the controls on the distribution of deep-sea sediments Adriana Dutkiewicz, Dietmar Müller, and Simon O’Callaghan |
| 09:15–09:30 |
EGU2017-10924
Semi-supervised Machine Learning for Analysis of Hydrogeochemical Data and Models Velimir Vesselinov, Daniel O'Malley, Boian Alexandrov, and Bryan Moore |
| 09:30–09:45 |
EGU2017-11366
Overcoming autocorrelation biases for causal inference in large nonlinear geoscientific time series datasets Jakob Runge, Dino Sejdinovic, and Seth Flaxman |
| 09:45–10:00 |
EGU2017-7899
Life beyond MSE and R2 — improving validation of predictive models with observations Andreas Papritz and Madlene Nussbaum |
|
Coffee break
|
|
| 10:30–10:45 |
EGU2017-10721
Compressing climate model simulations: reducing storage burden while preserving information Dorit Hammerling, Allison Baker, Haiying Xu, John Clyne, and Samuel Li |
| 10:45–11:00 |
EGU2017-8473
Nationwide lithological interpretation of cone penetration tests using neural networks Peter-Paul van Maanen, Jeroen Schokker, Ronald Harting, and Renée de Bruijn |
| 11:00–11:15 |
EGU2017-11298
Understanding the rural population migration pattern of Uttarakhand using Geophysical, Geological and Socio-Economical BigData Kausik Chattopadhyay and Pallavi Chattopadhyay |
| 11:15–11:30 |
EGU2017-16980
Data Exploration using Unsupervised Feature Extraction for Mixed Micro-Seismic Signals Matthias Meyer, Samuel Weber, and Jan Beutel |
| 11:30–11:45 |
EGU2017-15567
Detecting snow in vegetation (PhenoCam) image time series using machine learning (withdrawn) Koen Hufkens, Margaret Kosmala, Donald M. Aubrecht, and Andrew D. Richardson |
| 11:45–12:00 |
EGU2017-15544
Efficient in-situ visualization of unsteady flows in climate simulation Michael Vetter and Stephan Olbrich |