Henning Oppel

Mitarbeiterportrait

Dr. Henning Oppel

IC 4/163

Telefon: +49 (0)234 32- 25874
Fax:+49 (0)234 32-14153

henning.oppel[at]rub.de



Research Interests

  • Data driven models, machine learning and predictive data analysis.
  • Geomorphologic Unit Hydrograph models
  • Process-based calibration of hydrological models
  • Prediction in ungauged basins
  • Development of methods and models to consider natural heterogeneity of catchment properties and dynamics.
  • Utilisation of remote sensing data in large scale hydrological models.

Software:

  • ACS - GIS/Python Tool to assess the spatial organisation of meso-scale catchments. The algorithm automatically defines automatically sub-basins and zones for a given watershed.
    https://github.com/HenningOp/ACS
    Implementation for GIS-applications: ArcGIS & QGIS
  • MeMO - A sensitivity driven meta-model optimisation tool designed for hydrological models. A MeMO optimistion aims to find the best parametrisation though retaining process integrity in all sub-basins.
    https://github.com/HenningOp/MeMO

 

Professional Career

  • since january 2013: research assistant at the institute of Hydrology, Water Resources Management and Environmental Engineering
  • until November 2012: study of "Environmental Engineering and Resource Management" at Ruhr-University Bochum

 

Publications:

  • Oppel, H., Schumann, A. (2017): A method to employ the spatial organisation of catchments into semi-distributed rainfall-runoff models - Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2017-218, in review, 2017
  • Oppel, H., Schumann, A. (2017): Benefits of incorporating spatial organisation of catchments for a semi-distributed hydrological model - EGU 2017, 23.-28.4.2017, Vienna, Austria
  • Oppel, H., Schumann, A. (2017): MeMO - A sensitivity driven meta-model optimisation tool for hydrological models  - EGU 2017, 23.-28.4.2017, Vienna, Austria
  • Plöger, L., Mewes, B., Oppel, H, Schumann, A. (2017): Increasing process integrity in global scale water balance models - EGU 2017, 23.-28.4.2017, Vienna, Austria
  • Oppel, H., Schumman, A. (2016): Determination of the spatial organisation of river basins by GIS-based tools - IAHS 2016 - 18.-20.5.2016, Bochum, Germany
  • Oppel, H., Schumann, A. (2016): Incorporating flood event analyses and catchment structures into model developement - EGU 2016, 17.-22.4.2016, Vienna, Austria
  • Oppel. H., Schumann, A. (2015): Process-transferability of model parameters and the benefits of incorporating catchments spatial organisation - 4.Trierer Workshop zur Niederschlags-Abfluss-Modellierung, 4.-5.6.2015, Trier, Germany
  • Leandro, J., Oppel, H.,Dichtl, M. (2014): Can measured surface flow add in characterizing the rainfall uncertainty - Proceedings of the ICUD, 7.-12.9. 2014, Sarawak, Malaysia
  • Oppel, H., Schulte, M., Schumann, A. (2013): Considering temporal distributions of rainfall intensities in design storm estimation - ICWRER 2013, 3 - 7.4.2013 Koblenz, Germany
  • Schulte, M., Oppel, H., Schumann, A. (2013): Analyse und Simulation der zeitlichen Verteilung des Niederschlags innerhalb von Starkregenereignissen - Korrespondenz Wasserwirtschaft, Heft 5, DOI: 10.3243/kwe2013.05.002