During the last few decades, the increasing public and scientific interest in geoscientific problems has triggered enormous efforts to obtain, analyze and interpret data that contain substantial information about the dynamics of the complex system ''Earth''. For this purpose, novel techniques not only for recording data, but also for their statistical evaluation and data-based modeling had to be developed.
Aims and Scope of the Conference
The objective of the international conference series “Data Analysis and Modeling in Earth Sciences” (DAMES) is to bring together researchers dealing with data analysis and modeling in all fields of Earth Sciences, promoting the exchange of knowledge on both methodological developments and Earth Science applications across disciplines. Specific topics come from all fields of Earth Sciences, including atmospheric sciences, hydrology, oceanography, present-day and paleo-climatology, climate change and its impacts. Contributions on applied topics such as environmental risk analysis and sustainability are welcome as well.
The program of the conference includes plenary oral sessions with keynote lectures by leading international scientists and contributed talks, a poster session and a conference dinner.
Session 1: Instabilities and Predictability
Session 2: Upscaling, Downscaling, Parametrizing
Session 3: Data assimilation and Big Data
Session 4: Nonlinear Time Series Analysis
Session 5: Network Approaches
Session 6: Stochastic Approaches
Session 7: Dynamical Systems Approaches
Session 8: Modeling of Extreme Events
Session 9: Environmental Risk Analysis and Sustainability