Erwin Zehe

发表

V-FOR-WaTer – the virtual research environment to discover and analyse environmental data

Jörg Meyer, Elnaz Azmi, Sibylle Hassler, 2020 .

Data- and predictive uncertainties in flood forecasting: How to decide under uncertain information.

Axel Bronstert, Dominik E. Reusser, Erwin Zehe, 2008 .

Dynamical clustering: A new approach to make distributed (hydrological) modeling more efficient by dynamically detecting and removing redundant computations

Elnaz Azmi, Erwin Zehe, Uwe Ehret, 2020 .

Using landscape organization and functional similarity to reduce redundancy in distributed hydrological modeling

Erwin Zehe, Uwe Ehret, Ulrike Scherer, 2014 .

HESS Opinions "Should we apply bias correction to global and regional climate model data?"

Volker Wulfmeyer, Erwin Zehe, Uwe Ehret, 2012 .

V-FOR-WaTer - the virtual research environment to access and process environmental data

Elnaz Azmi, Sibylle Hassler, Mirko Mälicke, 2019 .

Representative computation: How to make use of hydrological similarity?

Elnaz Azmi, Erwin Zehe, Uwe Ehret, 2018 .