Climate variability is one of the important drivers of hydrological processes. Stochastic weather generators (SWGs) aim at modeling climatic variables – such as precipitation, temperature, humidity, etc – to drive hydrological models. Being at the interface between climate and hydrological processes, they are valuable tools for hydrological impact studies for the past, recent and future climate. However, part of the weather variability is not described in a deterministic but stochastic way, reflecting the chaotic nature of atmospheric processes in a natural way. Stochastic weather generators (SWGs) are thus canonical tools in hydrological studies.
Following the first three workshops "SWGEN" on stochastic weather generators (in 2012, 2014 and 2016), this workshop focuses on SWGs suitable in hydrological modeling contexts.
Contributions are welcome on stochastic weather generat
- for hydrological applications
- for sub-daily or daily time scale
- stationary, as well as conditional on large scale climatic drivers for hydrological past and future projections
- for studying the range of variability (uncertainty) in hydrological models
Abstracts to be submitted until July 23th, 2017
Registration is now open!
For further information visit
http://www.geo.fu-berlin.de/en/met/ag/statmet/SWGEN-Hydro_-Berlin-2017
The number of participants is limited!
Contact
Henning Rust (henning.rust@fu-berlin.de)
Mathieu Vrac (mathieu.vrac@lsce.ipsl.fr)
