Satellite inspired hydrology in an uncertain future: a H SAF and HEPEX workshop

We are seeking submissions in the following formats:

• Oral presentation
• Poster presentation

The workshop will consist of the 5 sessions listed below. When submitting an abstract you will need to specify which session would you like to present in.

1. Remote sensing, hydrological modelling and data assimilation

• Remote sensing techniques and products for hydrological variables, including soil moisture, precipitation and snow, especially for ensemble forecasting

• Reviewing current and planning for future satellite missions

• Assimilation and use of remotely sensed observations in land surface and hydrological models

2. Hydrological validation and benchmarking

• Validating products against ground measurements, satellite products or other hydrological models

• Evaluating a products performance against a suitable benchmark i.e. a model or data set with a defined expectation of performance

• Post-processing techniques for downscaling remote sensing to local applications

• Exploring novel validation techniques using spatial and temporal data

3. Hydrological data assimilation for NWP

• Assimilating remotely sensed and ground based observations into NWP models

• Validating the impact of hydrological assimilation on NWP forecast skill

• Coupled data assimilation approaches in NWP e.g. land-atmosphere

• Multi-sensor and ensemble data assimilation procedures

4. Impacts of hydrological uncertainty, hydrological forecasting and modelling

• Monitoring and forecasting of floods, droughts and other hydrological hazards

• Monitoring and modelling impacts of hydrological variability on water resources (e.g. rivers, reservoirs), including both natural (e.g. droughts) and anthropogenic (e.g. dams) influences

• Incorporating uncertainty in hydrological forecasting (assessing uncertainties in initial conditions, parameter values, tendencies et cetera)

• Monitoring and modelling impacts of climate change on water resources

5. Novel hydrological data sources and assimilation techniques

• Novel data assimilation techniques, including coupled data assimilation approaches

• Integrating novel observational data in hydrological ensemble prediction systems (probabilistic-based inundation maps, crowdsourced data, citizen science approaches, etc.)

• New available data sources for hydrological data assimilation

• Linking large scale data and models to local knowledge and needs in hydrological forecasting and decision-making

• From traditional flood forecasting to impact-based forecasting (including e.g. inundation mapping, economic assessment, decision-based analysis.