Ghada El Serafy

• The Natura 2000 Wadden sea

  2014-to date

  Project leader of the EU Ecostress Ecological coastal strategies and Tools for Resilent Europian Societies using Remote sensing data in assessing environmental hazards in the Natura 2000 Wadden sea

• Aquatic ecosystems

  2011-to date

  Project leader and workpackage leader within several EU consortia dealing with the use of remote sensing data (EO) for calibration, assimilation and data sciences for aquatic ecosystems.

• Various international and national projects dealing with applied informatics, data sciences and data assimilation, including Korea, EU and Canada.

  2010- to date

• Involved in the strategic research and application of data assimilation techniques within Deltares.

  2009-to date

• Building of the generic open source data assimilation toolbox OpenDA (Merged software of DATools, WLDelft Hydraulics and COSTA from the TUDelft).

  2008-2009

• Development and application of EnKF in the integrated groundwater and surface water model (Modflow-Sobek) and its application for the Twente region in the synergy project, together with TNO, Geodelft and WLDelft Hydraulics.

  2007-2008

• Sensitivity analysis and application of EnKF in the 3D water quality model for improving the algae bloom prediction in the Hong Kong region and in the North Sea

  2007

• Development of EnKF in a 3D water quality transport model for the assimilation of suspended particulate matter satellite information and its application in the North Sea together with the Port of Rotterdam Authorities, to provide a sedimentology atlas for the area.

  2007 - 2013

• Development of EnKF and Particle Filters in combination with different process models in an integrated Data Assimilation Toolbox (DATools).

  2005 - 2007

• Using Neural network as reduced models for operational use in combination with EnKF for improving their forecasting ability under research applicability in Maxau-Ijssel (Rijn River) and the operational system of Osaka Bay in Japan.

  2006

• Development of EnSSKF in a 3D hydrodynamic model for the assimilation of salinity, temperature, flow field and water levels and its operationalization for the forecasting system of Osaka Bay in Japan

  2004 - 2006

• Development of EnKF as an input correction technique in rainfall-runoff model Hymod and HBV and the comparison of particle filters and EnKF in hydrological catchments and for hydrodynamic 1D model Sobek and the application on Maxau-IJssel Rhine Basin.

  2002-2005

• Development of Extended and simplified Kalman filter in large scale atmospheric ozone transport global models for near-real time ozone layer forecasting application using satellite information.

  1999-2001

• Development of Extended Kalman filter and adjoint method for flow estimation and groundwater pollutant estimation in particle models and its applications.

  1994-1998

• Using remote sensing to enhance modelling of fine sediment dynamics in the Dutch coastal

  2013
  Kamel A. M. Y., G. El Serafy, A. B. Bhattacharya, T. van Kessel, and D. P. Solomatine doi:10.2166/hydro.2013.211, Journal of Hydroinformatics, in press.

• Towards a data assimilation system for morphodynamic modeling: Bathymetric data assimilation for wave properties estimation,

  2013
  Garcia I. D., G. El Serafy, A. W. Heemink, and H. Schuttelaars, Ocean Dynamics, Volume 63, Issue 5, pp 489-505.

• Application of model reduced 4D-Var to a 1D ecosystem model,

  2012
  Pelc J. S., E. Simon, L. Bertino, G. El Serafy and A. W. Heemink, Ocean Modelling, 57-58, pp 43-58

• Application of data assimilation for improving forecast of water levels and residual currents in Singapore regional waters,

  2012
  Karri R. R., A. Badwe, X. Wang, G. El Serafy, J. Sumihar, V. Babovic, and H. Gerritsen, Ocean Dynamics, DOI 10.1007/s10236-012-0584-y

• Improving the description of the suspended particulate matter concentrations in the southern North Sea through assimilating remotely sensed data.

  2011
  El Serafy G.Y., Eleveld M.A., Blaas, M., van Kessel, T., Gaytan Aguilar, S., van der Woerd, H.J., Ocean Science Journal 46(3): 179-204. doi: 10.1007/s12601-011-0015-x

• OpenDA Open Source Generic Data Assimilation Environment,

  2010
  El Serafy, G.Y., Verlaan M., Hummel S., Weerts A., Dhondia J. and Gerritsen H., European Geosciences Union General Assembly 2010, Vienna, Austria.

• Senstivity analysis of the two dimensional application of the Generic Ecological Model (GEM) to algal bloom prediction in the North Sea,

  2009
  Salacinska K., El Serafy G.Y., Blauw A., Los F.J., Journal of Ecological

• The Ensemble Particle Filter (EnPF) in Rainfall-Runoff Models

  2009
  van Delft G., El Serafy, G. Y., and Heemink A.W., Journal of Stochastic Environmental Research and Risk Assessment, in press, DOI: 10.1007/s00477-008-0301-z

• Improving the operational forecasting system of the stratified flow in Osaka Bay using Ensemble Kalman filter-based Steady State Kalman filter

  2008
  El Serafy, G. Y. and Mynett, A.E., Journal of Water Resources Research, 44, W06416, DOI:10.1029/2006WR005412

• Identification of Groundwater flow patterns using particle models.

  2008
  El Serafy, G. Y., Heemink, A. W., and van Geer, F. C., Journal of Applied Mathematical Modelling, volume 32, 7, pp 1208-1218, DOI:10.1016/j.apm.2007.03010.

• Eutrophication And Algal Dynamics In Hong Kong Waters - Implications From Sensitivity Analysis

  2007
  Wong, K., El Serafy, G. Y., Postma, L. and Mynett A.E. in proceedings Fifth International Symposium on Environmental Hydraulics held in Arizona, USA

• Application of data assimilation in portable operational forecasting systems-the DATools assimilation environment,

  2007
  El Serafy, G. Y., Gerritsen, H., Hummel, S., Weerts A.H., Mynett, A.E. and Tanaka, M. Journal of Ocean Dynamics, DOI:10.1007/s10236-007-0124-3.

• Combined neural network and ensemble kalman filter application for discharge and water level forecasting in the river Rhine

  2006
  Aguilar. S. G., El Serafy, G. Y., and Mynett, A.E.,7th International Conference on Hydroinformatics, HIC 2006, Nice, France, Vol II, p. 1447-1454.

• Particle Filtering and Ensemble Kalman Filtering for runoff nowcasting using conceptual rainfall runoff models

  2006
  Weerts, A. and G. Y. El Serafy, , Journal of Water Resources Research, Vol. 42, No. 9, W09403, doi:10.1029/2005WR004093.

• Near-real-time approach to assimilation of satellite-retrieved 3D ozone fields in a global model using simplified Kalman filter

  2003
  El Serafy, G.Y. and H. Kelder,. Quarterly Journal of Royal Meteorological Sociaty , 129, p.3099-3120

Activities