link to my publications at google

link to my publications at web-of-knowledge

  • 2017
  • Vousdoukas, M. I., Mentaschi, L., Voukouvalas, E., Verlaan, M., & Feyen, L. Extreme sea levels on the rise along Europe's coasts. Earth's Future. link here: click
  • Muis, S., Verlaan, M., Nicholls, R. J., Brown, S., Hinkel, J., Lincke, D., ... & Ward, P. J. A comparison of two global datasets of extreme sea levels and resulting flood exposure. Earth's Future. PDF here: click
  • Pickering, M. D., Horsburgh, K. J., Blundell, J. R., Hirschi, J. M., Nicholls, R. J., Verlaan, M., & Wells, N. C. The impact of future sea-level rise on the global tides. Continental Shelf Research. link here: click
  • Mazzoleni, M., Verlaan, M., Alfonso, L., Monego, M., Norbiato, D., Ferri, M., & Solomatine, D. P. Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? Hydrology and Earth System Sciences, 21(2), 839. link here: click
  • 2016
  • Muis, S., Verlaan, M., Winsemius, H. C., Aerts, J. C., & Ward, P. J. A global reanalysis of storm surges and extreme sea levels. Nature Communications, 7. link here: click
  • van Velzen, N., Altaf, M. U., & Verlaan, M. OpenDA-NEMO framework for ocean data assimilation. Ocean Dynamics, 66(5), 691-702. link here: click
  • Frederikse, T., Riva, R., Slobbe, C., Broerse, T., & Verlaan, M. Estimating decadal variability in sea level from tide gauge records: An application to the North Sea. Journal of Geophysical Research: Oceans. link here: click
  • Verlaan, M., & Sumihar, J. Observation impact analysis methods for storm surge forecasting systems. Ocean Dynamics, 66(2), 221-241. link here: click
  • 2015
  • Zijl, F., Sumihar, J., & Verlaan, M. Application of data assimilation for improved operational water level forecasting on the northwest European shelf and North Sea. Ocean Dynamics, 65(12), 1699-1716. link here: click
  • Mazzoleni, M., Verlaan, M., Alfonso, L., Monego, M., Norbiato, D., Ferri, M., & Solomatine, D. P. Can assimilation of crowdsourced streamflow observations in hydrological modelling improve flood prediction? Hydrology and Earth System Sciences, under review. link here: click
  • Buckman, L., Verlaan, M., & Weerts, A. Global Storm Surge Forecasting and Information System. In EGU General Assembly Conference Abstracts (Vol. 17, p. 8323). link here: click
  • Winsemius, Hessel; Verhoeven, Govert; Van Leeuwen, Elgard; Van der Klis, Hanneke; Van Wesenbeeck, Bregje; Cumiskey, Lydia; Verlaan, Martin; Muis, Sanne; Ward, Philip; Kwadijk, Jaap. Towards global scale coastal flood hazard in Delta Cities with 30-meter SRTM and 3D_i. In EGU General Assembly Conference Abstracts (Vol. 17, p. 8928). link here: click
  • Muis, S., Verlaan, M., Winsemius, H., & Ward, P. A first global-scale hindcast of extreme sea levels induced by extra-tropical storms. In EGU General Assembly Conference Abstracts (Vol. 17, p. 1425). link here: click
  • Drost, Niels; Bierkens, Marc; Donchyts, Gennadii; van de Giesen, Nick; Hummel, Stef; Hut, Rolf; Kockx, Arno; van Meersbergen, Maarten; Sutanudjaja, Edwin; Verlaan, Martin; Weerts, Albrecht; Winsemius, Hessel. eWaterCycle: Building an operational global Hydrological forecasting system based on standards and open source software. In EGU General Assembly Conference Abstracts (Vol. 17, p. 7148). link here: click
  • Schroevers, M., Verlaan, M., Zijl, F., Verburgh, P., & Buschman, F. , e;Navigation information for the Rotterdam Harbour by assimilating HF radar in a 3D model. In Current, Waves and Turbulence Measurement (CWTM), 2015 IEEE/OES Eleventh (pp. 1-3) IEEE. link here: click
  • Verlaan, M., De Kleermaeker, S., & Buckman, L. GLOSSIS: Global storm surge forecasting and information system. In Australasian Coasts & Ports Conference 2015: 22nd Australasian Coastal and Ocean Engineering Conference and the 15th Australasian Port and Harbour Conference (p. 229). Engineers Australia and IPENZ. link here: click
  • Garcia, M., Ramirez, I., Verlaan, M., & Castillo, J. Application of a three-dimensional hydrodynamic model for San Quintin Bay, BC, Mexico. Validation and calibration using OpenDA. Journal of Computational and Applied Mathematics, 273, 428-437. link here: click
  • 2014
  • Jagers, B., Rego, J. L., Verlaan, M., Lalic, A., Genseberger, M., Friocourt, Y., & van der Pijl, S. A Global Tide and Storm Surge Model with a Parallel Unstructured-Grid Shallow Water Solver, In AGU Fall Meeting Abstracts (Vol. 1, p. 05). link here: click
  • Weerts, A., Kockx, A., Sumihar, J., Verlaan, M., Hummel, S., Kramer, W., and de Klaermaker, S. Operational data assimilation for improving hydrologic, hydrodynamic, and water quality forecasting using open tools. In EGU General Assembly Conference Abstracts (Vol. 16, p. 16806). link here: click
  • Tijana Janjić, Dennis McLaughlin, Stephen E. Cohn, Martin Verlaan, Conservation of mass and preservation of positivity with ensemble-type Kalman filter algorithms, Monthly Weather Review, Vol. 142, No. 2. p. 755-773, link here: click, download here: click
  • 2013
  • F. Zijl, M. Verlaan, H. Gerritsen, Improved water level forecasting for the Northwest European Shelf and North Sea through direct modelling of tide, surge and non-linear interaction&quot, Ocean Dynamics, July 2013, Volume 63, Issue 7, pp 823-847, link here: click, download here: click
  • D. C. Slobbe, R. Klees, M. Verlaan; L. L. Dorst, H. Gerritsen, Lowest Astronomical Tide in the North Sea derived from a vertically referenced shallow water model, and an assessment of its suggested sense of safety, Marine Geodesy 36 (1), 31-71, download here: click
  • 2012
  • Pèrez, B., Brouwer, R., Beckers, J., Paradis, D., Balseiro, C., Lyons, K., Cure, M., Sotillo, M. G., Hackett, B., Verlaan, M., and Fanjul, E. A. ENSURF: multi-model sea level forecast - implementation and validation results for the IBIROOS and Western Mediterranean regions, Ocean Sci., 8, 211-226, link here: click,
  • D.C. Slobbe, M. Verlaan, R. Klees, H. Gerritsen, Obtaining instantaneous water levels relative to a geoid with a 2D storm surge model, Continental Shelf Research, 2013, vol. 52 p 172, download here: click
  • 2011
  • M.U. Altaf and A.W. Heemink and M. Verlaan, Simultaneous Perturbation Stochastic Approximation for tidal models, Ocean Dynamics, vol 61 1093-1105, link here: click, download here: click
  • M.U. Altaf, M. Verlaan and A.W. Heemink, Efficient identification of uncertain parameters in a large-scale tidal model of the European continental shelf by proper orthogonal decomposition, International Journal for Numerical Methods in Fluids, Vol. 66 Issue 1, Jan 2011, link here: click, download here: click
  • 2009
  • A.W. Heemink, R.G. Hanea, J.Sumihar, M. Roest, N. Velzen, M. Verlaan, Data Assimilation Algorithms for Numerical Models, in Advanced Computational Methods in Science and Engineering, Springer, Series: Lecture notes in computational science and engineering, p.107-142, download here: click
  • M.U.Altaf, A. W. Heemink, M. Verlaan, Inverse shallow water flow modeling using model reduction, International Journal for multiscale computational engineering, 7(6), 577-594, download here: click
  • Julius H. Sumihar, Martin Verlaan and Arnold W. Heemink, Two-sample Kalman filter with HiRLAM and UKMO difference,> submitted to Monthly Weather Review, download here: click
  • 2008
  • J.H. Sumihar, M. Verlaan and A.W. Heemink, Two-sample Kalman filter for steady state data assimilation, Monthly Weather Review, vol 136, No. 11, pp. 4503-4516, download here: click
  • W.M. Charles, E. van den Berg, H.X. Lin, A.W. Heemink, M. Verlaan, Parallel and distributed simulation of sediment dynamics in shallow water using particle decomposition approach, J. Parallel Distrib. Comput. link here: click, download here: click
  • M.V. Krymskaya, R.G. Hanea, M. Verlaan, An iterative ensemble Kalman filter for reservoir engineering applications, Comput. Geosci., link here: click, download here: click
  • 2007
  • R.G. Hanea, G.J.M. Velders, A.J. Segers, M. Verlaan, A.W. Heemink, A Hybrid Kalman Filter Algorithm for Large-Scale Atmospheric Chemistry Data Assimilation, Monthly Weather Review, vol 135, pp. 140-151., download here: click
  • N. Van Velzen and M. Verlaan, COSTA a problem solving environment for data assimilation applied for hydrodynamical modelling, Meteorologische Zeitschrift, Vol. 16, No. 6, 777-793, download here: click
  • 2005
  • M. Verlaan, A. Zijderveld, H. De Vries, J. Kroos, Operational storm surge forecasting in the Netherlands: developments in the last decade, Phil. Trans. R. Soc. A 363, 1441-1453, link here: click, dowload here: click
  • 2004
  • W. M. Charles, A.W. Heemink, M. Verlaan, A particle model for simulation of sediment transport in coastal waters, J. of NAMP, No. 8., pp. 131-138
  • 2002
  • Heemink, A.W., E.E.A. Mouthaan, M.R.T. Roest, A.E.H. Vollebregt, K.B. Robaczewska, M. Verlaan; Inverse 3D shallow water flow modelling of the continental shelf. Continental Shelf Research, No. 22, pp. 465-484. download here: click
  • J. van de Kreeke, S.E. Hoogewoning and M. Verlaan, An analytical model for the morphodynamics of a trench in the presence of tidal currents, Continental Shelf Research, vol 22, pp. 1811-1820
  • 2001
  • M. Verlaan and A. W. Heemink, Non-linearity in Data Assimilation Applications a Practical Method for Analysis, Monthly weather review, vol 129, pp. 1578-1589, download here: click
  • A. W. Heemink and M. Verlaan, Variance Reduced Ensemble Kalman Filtering, Monthly Weather Review, vol 129, 2001, pp. 1718-1728, download here: click
  • 2000
  • A. J. Segers, A. W. Heemink, M. Verlaan, and M. van Loon, A modified rrsqrt-filter for assimilating data in atmospheric chemistry models, Environmental Modelling and Software, vol. 15,no 6-7, pp. 663-671
  • A. J. Segers, A. W. Heemink, M. Verlaan, and M. van Loon, Nonlinear kalman filters for atmospheric chemistry models, Inverse Methods in Global Biogeochemical Cycles", series: Geophysical Monograph, vol 114, pp. 139-146, AGU
  • 1998
  • M. Verlaan, Efficient Kalman filtering algorithms for hydrodynamic models, Phd-Thesis TU Delft, download here: click
  • 1997
  • M. Verlaan and A. W. Heemink, Tidal Flow Forecasting using Reduced Rank Square Root Filters, Stochastic Hydrology and Hydraulics, vol 11, pp 349-368. download here: click
  • A. W. Heemink, K. Bolding and M. Verlaan, Storm Surge Forecasting using Kalman Filtering, Journal of Meteorological Society of Japan, Special issue, download here: click
  • 1994
  • M. Gyllenberg, T. Koski, and M. Verlaan, Non-Uniqueness in Probabilistic Numerical Identification of Bacteria, J. Appl. Prob, vol., pp. 542-548