Articles | Volume 21, issue 12
Research article
15 Dec 2017
Research article |  | 15 Dec 2017

Development of a monthly to seasonal forecast framework tailored to inland waterway transport in central Europe

Dennis Meißner, Bastian Klein, and Monica Ionita

Data sets

Gridded precipitation and temperature data European Climate Assessment & Dataset

Precipitation and temperature data German Meteorological Service DWD

Extended Reconstructed Sea Surface Temperature dataset NOAA

Volumetric Soil Moisture data Earth System Research Laboratory

Soil moisture, geopotential height, sea level pressure and relative humidity NCAR

ERA-Interim dataset ECMWF

Short summary
Inland waterway transport is a commercial sector relying on hydrological forecasts on different timescales. This paper describes the set-up of a monthly to seasonal forecasting system for the German waterways. Multiple approaches are tested, compared and combined. Despite the predictive limitations on longer lead times, this study reveals the existence of a valuable predictability on monthly up to seasonal timescales. Forecast quality depends on forecast location, lead time and season.