Global, continental and other large scale hydrological models and land surface models can be found in many different contexts. They can form an integral part of atmospheric and climate modelling systems but are increasingly being developed as stand-alone modelling platforms for hydrological investigations. These models can be used to predict the impact of climate change on river flow, evaluate the quality of atmospheric models, to compute water balances for flood and drought applications or water resource management.
We invite contributions from across the atmospheric, meteorological and hydrological communities. In particular we welcome papers that address advances in:
(i) understanding and predicting hydrological variations with large scale modelling,
including: methods for detecting hydrological variability and change; multi-scale hydrological systems and scale issues; large scale climate-hydrology interactions, including teleconnections and prediction and forecasting of hydrological variations.
(ii) techniques for large scale modelling and assimilation,
including: novel modelling concepts and model design; data assimilation methods; novel data sources (remotely sensed and in-situ); regionalization approaches; uncertainty/sensitivity analysis and impact studies of boundary conditions, forcings, model parameters and factors; calibration, tuning, and optimization techniques.