Dr. Oldrich Rakovec

  Scientist

Department Computational Hydrosystems Stochastic and Land Surface Hydrology
Helmholtz Centre for Environmental Research - UFZ

Contact

Address
City
Phone
Fax
Email

Permoserstraße 15
04318 Leipzig, Germany
+49 341 235 1972   
+49 341 235 1939
oldrich.rakovec(at)ufz.de

O. Rakovec

Research interest/topics:

  • Mesoscale Hydrologic Model
  • Data assimilation in the hydrologic model mHM, large domain simulations (from regional to global)
  • Examining the effects of parameter regionalization schemes on parameter transferability on large basin sampling (in collaboration with RAL-NCAR, US)
  • Paleo-hydrology: Hydrological analysis of continental wide water cycle (in collaboration with the Department of Water Resources and Environmental Modeling, Czech University of Life Sciences Prague)
  • Making the Most out of a Hydrological Model Dataset: Sensitivity Analyses to Open the Model Black-Box (in collaboration with the Kansas University, US and the Bocconi University, Italy)

CV / Scientific Career

since 12/2013

   

11/2009 - 11/2013




09/2007 - 08/2009


09/2006 - 08/2009

Scientist at the UFZ, Data assimilation in the hydrologic model mHM

PhD thesis: "Improving operational flood forecasting using data assimilation" at the Wageningen University (The Netherlands). Promotor: Prof. Dr Remko Uijlenhoet, co-promotor: Dr Albrecht Weerts, graduation date: 25.04.2014

MSc in Hydrology and Water Quality at the Wageningen University (The Netherlands)   

Ing. (MSc equivalent) in Environmental modelling at the Czech University of Life Science in Prague (The Czech Republic)


        Peer-reviewed publications

  • Borgonovo, E., Lu, X., Plischke, E., Rakovec, O., and Hill, M. C. (2017): Making the Most out of a Hydrological Model Dataset: Sensitivity Analyses to Open the Model Black-Box, Water Resour. Res., 53, doi:10.1002/2017WR020401.
  • Mizukami, N., Clark, M., Newman, A., Wood, A., Gutmann, E., Nijssen, B., Rakovec, O., and Samaniego, L. (2017): Towards seamless large domain parameter estimation for hydrologic models, Water Resour. Res., 53, doi:10.1002/2017WR020767.
  • Samaniego, L., Kumar, R., Thober, S., Rakovec, O., Zink, M., Wanders, N., Eisner, S., Müller Schmied, H., Sutanudjaja, E. H., Warrach-Sagi, K., and Attinger, S. (2017): Toward seamless hydrologic predictions across scales, Hydrol. Earth Syst. Sci., 21, 4323-4346, doi:10.5194/hess-21-4323-2017
  • Rakovec, O., Kumar, R., Attinger, S. and Samaniego, L. (2016): Improving the realism of hydrologic model functioning through multivariate parameter estimation. Water Resour. Res., 52, doi:10.1002/2016WR019430.
  • Rakovec, O., Kumar, R., Mai, J., Cuntz, M., Thober, S., Zink, M., Attinger, S., Schafer, D., Schron, M., Samaniego, L. (2016): Multiscale and multivariate evaluation of water fluxes and states over European river basins, J. Hydrometeorol., 17, 287-307, doi:10.1175/JHM-D-15-0054.1.
  • Cuntz, M., Mai, J., Zink, M., Kumar, R., Thober, S., Kumar, R., Schafer, D.,
    Schron, M., Craven, J., Rakovec, O., Spieler, D., Prykhodko, V. and Dalmasso, G., Musuuza, J., Langenberg, B., Attinger, S., Samaniego, L. (2015): Computationally inexpensive identification of noninformative model parameters by sequential screening, Water Resour. Res., 51, 6417-6441, doi:10.1002/2015WR016907.
  • Rakovec, O., Weerts, A. H., Sumihar, J., and Uijlenhoet, R. (2015): Operational aspects of asynchronous filtering for flood forecasting, Hydrol. Earth Syst. Sci., 19, 2911-2924, doi:10.5194/hess-19-2911-2015.
  • Noh, S. J., Rakovec, O., Weerts, A. H. and Tachikawa, Y. (2014): On noise specification in data assimilation schemes for improved flood forecasting using distributed hydrological models, J. Hydrol., 519, Part D, 2707-2721, doi:10.1016/j.jhydrol.2014.07.049.
  • Rakovec, O., Hill, M. C., Clark, M. P., Weerts, A. H., Teuling, A. J., Uijlenhoet, R. (2014): Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models, Water Resour. Res., 50, 1-18, doi:10.1002/2013WR014063.
  • Rakovec, O., Hazenberg, P., Torfs, P. J. J. F., Weerts, A. H., and Uijlenhoet, R. (2012): Generating  spatial precipitation ensembles: impact of temporal correlation structure, Hydrol. Earth Syst. Sci., 16, 3419-3434, doi:10.5194/hess-16-3419-2012.
  • Rakovec, O., Weerts, A. H., Hazenberg, P., Torfs, P. J. J. F., and Uijlenhoet, R. (2012): State updating of a distributed hydrological model with Ensemble Kalman Filtering: e ffects of updating frequency and observation network density on forecast accuracy, Hydrol. Earth Syst. Sci., 16, 3435-3449, doi:10.5194/hess-16-3435-2012.
  • Liu, Y., Weerts, A. H., Clark, M., Hendricks Franssen, H.-J., Kumar, S., Moradkhani, H., Seo, D.-J., Schwanenberg, D., Smith, P., van Dijk, A. I. J. M., van Velzen, N., He, M., Lee, H., Noh, S. J., Rakovec, O., and Restrepo, P. (2012): Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities, Hydrol. Earth Syst. Sci., 16, 3863-3887. doi:10.5194/hess-16-3863-2012.
  • Van Huijgevoort, M. H. J., Van Loon, A. F., Rakovec, O., Haddeland, I., Horacek, S., and Van Lanen, H. A. J. (2010) Drought assessment using local and large-scale forcing data in small catchments, in: Global Change: Facing Risks and Threats to Water Resources, edited by: Servat, E., Demuth, S., Dezetter, A., Daniell, T., Ferrari, E., Ijjaali, M., Jabrane, R., Van Lanen, H., and Huang, Y., IAHS Publ. No. 340, 77-85.

Books

  • Hill, M. C., Foglia, L., Christensen, S., Rakovec, O., and Borgonovo, E. (2016): Model Validation: Testing Models Using Data and Sensitivity Analysis. In: Cushman, J. H., Tartakovsky, D. (eds) The Handbook of Groundwater Engineering, Third Ed., Taylor and Francis Group, doi:10.1201/ 9781315371801-22
  • Rakovec, O.: Improving operational flood forecasting using data assimilation, PhD thesis, Wageningen University, Wageningen, NL (2014), ISBN 978-94-6173-849-3, available online at: http://edepot.wur.nl/298593



Conferences

  • Rakovec, O., Mizukami, N., Newman, A. J., Thober, S., Kumar, R., Wood, A. W., Clark, M. P., Samaniego, L. 2016: On model complexity and parameter regionalization for continental scale hydrologic simulations. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 12-16 December 2016, San Francisco, USA. Oral.
  • Rakovec, O., Kumar, R., Samaniego, L. 2016: Multi-variate spatial explicit constraining of a large scale hydrological model. In: Geophys. Res. Abstr., EGU General Assembly, 17-22 April 2016, Vienna, Austria. Oral.
  • Rakovec, O., Noh, S. J., Kumar, R., and Samaniego, L. 2015: Scrutiny of Appropriate Model Error Specification in Multivariate Assimilation Framework using mHM. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 14-18 December 2015, San Francisco, USA. Oral.
  • Noh, S. J., Rakovec, O., Kumar, R., and Samaniego, L. 2015: Impact of state updating and multi-parametric ensemble for streamflow hindcasting in European river basins. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 14-18 December 2015, San Francisco, USA. Oral.
  • Kumar, R., Mai, J., Rakovec, O., Cuntz, M., Thober, S., Zink, M., Attinger, S., Schaefer, D., Schrӧn, M., and Samaniego, L. 2015: Regionalized Hydrologic Parameters Estimates for a Seamless Prediction of Continental scale Water Fluxes and States. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 14-18 December 2015, San Francisco, USA. Poster.
  • Zink, M., Mai, J., Rakovec, O., Schrӧn, M., Kumar, R., Schaefer, D., and Samaniego, L. 2015: Towards constraining hydrologic models using satellite retrieved soil moisture. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 14-18 December 2015, San Francisco, USA. Poster.
  • Schrӧn, M., Samaniego, L., Kumar, R., Zink, M., Rosolem, R., Rakovec, O., Baroni, G., Oswald, S., Reinstorf, F., and Zacharias, S. 2015: Assimilation of Spatio-Temporal Cosmic-Ray Neutron Data to Improve Hydrological Model Performance. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 14-18 December 2015, San Francisco, USA. Poster.
  • Sutanudjaja, E., et al. 2015: The HyperHydro (H^2) experiment for comparing different large-scale models at various resolutions. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 14-18 December 2015, San Francisco, USA. Poster.
  • Samaniego, L., Rakovec, O., Kumar, R., Mai, J., Attinger, S., Cuntz, M., Schrön, M., Thober, S., and Zink, M. 2015: Searching for a robust parameter estimation strategy for large river basins. In: Geophys. Res. Abstr., EGU General Assembly, 12-17 April 2015, Vienna, Austria. Oral.
  • Rakovec, O., Noh, S. J., Kumar, R., and Samaniego, L. 2015: Multivariable data assimilation over Pan European river basins. In: Geophys. Res. Abstr., EGU General Assembly, 12-17 April 2015, Vienna, Austria. Poster.
  • Noh, S. J., Rakovec, O., Kumar, R., Samaniego, L., and Choi, S. 2015: Streamflow data assimilation for the mesoscale hydrologic model (mHM) using particle filtering. In: Geophys. Res. Abstr., EGU General Assembly, 12-17 April 2015, Vienna, Austria. PICO.
  • Samaniego, L., Rakovec, O., Kumar, R., Schaefer, D., Cuntz, M., Mai, J., Thober, S., and Attinger, S. 2014: Multiscale Prediction and Verification of Water Fluxes and States over Large River Basins. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 15-19 December 2014, San Francisco, USA. Oral.
  • Rakovec, O., Kumar, R., Samaniego, L., Mai, J., Thober, S., and Cuntz, M. 2014: Assimilation of Multiscale and Multivariable Hydrologic Variables over Pan European River Basins. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 15-19 December 2014, San Francisco, USA. Poster.
  • Rakovec, O., Weerts, A. H., Sumihar, J., Uijlenhoet, R. 2014: Operational aspects of asynchronous filtering for improved flood forecasting. In: Geophys. Res. Abstr., EGU General Assembly, 27 April - 2 May 2014, Vienna, Austria. Oral.       
  • Rakovec, O., Hill, M. C., Clark, M. P., Borgonovo, E., Weerts, A. H., Teuling, A. J., Uijlenhoet, R. 2013: A new computationally frugal method for sensitivity analysis of environmental models. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 9-13 December 2013, San Francisco, USA. Oral.
  • Noh, S. J., Rakovec, O., Weerts, A. H. and Tachikawa, Y. 2013: Impacts of streamflow data assimilation for flood forecasting using numerical weather prediction. In: 11th International Precipitation Conference, 1-3 July 2013, Ede, The Netherlands. Poster.
  • Rakovec, O., Clark, M.,Weerts, A., Hill, M., Teuling, R., and Uijlenhoet, R. 2013: Multi-criteria evaluation of hydrological models. In: Geophys. Res. Abstr., EGU General Assembly, 7-12 April 2013, Vienna, Austria. Oral.
  • Rakovec, O., Weerts, A. H., Hazenberg, P., Torfs, P. J. J. F., and Uijlenhoet, R. 2012: State updating of a distributed hydrological model with Ensemble Kalman Filtering: E ffects of updating frequency and observation network density on forecast accuracy. In: EOS Supplement, Fall Meeting of the American Geophysical Union, 3-7 December 2012, San Francisco, USA. Poster.
  • Rakovec, O., Hazenberg, P., Torfs, P. J. J. F., Weerts, A. H., and Uijlenhoet, R. 2012: On the generation of spatial precipitation ensemble: the impact of including temporal correlation structures. In: Geophys. Res. Abstr., EGU General Assembly, 22-27 April 2012, Vienna, Austria. Oral.
  • Rakovec, O., Weerts, A. H., Hazenberg, P., Sumihar, J., Torfs, P. J. J. F., and Uijlenhoet, R. 2011: Ensemble Kalman Filter-based discharge observation sensitivity within a spatially distributed hydrological model. In: Geophys. Res. Abstr., EGU General Assembly, 3-8 April 2011, Vienna, Austria. Oral.
  • Rakovec, O.,Weerts, A. H., Uijlenhoet, R. Hazenberg, P., and Torfs, P. J. J. F. 2010: Quanti cation of input uncertainty within a spatially distributed conceptual grid-based model using streamflow data assimilation. In: Proceedings of the EGU Leonardo Conference 2010, Looking at Catchments in Colors - Debating New Ways of Generating and Filtering Information in Hydrology, 10-12 November 2010, Luxembourg, 77. Oral.
  • Rakovec, O., Weerts, A. H., Uijlenhoet, R. Hazenberg, P., and Torfs, P.J. J. F. 2010: Improving operational flood forecasting through data assimilation. In: Geophys. Res. Abstr., EGU General Assembly, 2-7 May 2010, Vienna, Austria. Poster.