Generalizable insights in hydrology: from place-based studies towards hydrologic theory
We welcome a broad range of contributions that could, for example, focus on:
(1) Improved process understanding or discovery of new processes through field and modeling applications
(2) Systematic understanding of hydrologic behavior across spatio-temporal scales as well as climatic and/or biophysical gradients
(3) The identification and use of patterns in large datasets to develop theories and models
(4) Leveraging process understanding from (small-scale) experimental studies and theories to build or constrain (large-scale) models
(5) Development or application of (physics-guided) machine learning methods to extract more information from available observations
(6) Approaches that provide causal or mechanistic explanations for observed patterns
(7) Understanding new aspects of hydrologic functioning by coupling hydrologic, geomorphic, ecologic, atmospheric, and/or human systems
Invited speaker: David Litwin (GFZ Potsdam)