Martin Verlaan

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A. W. HeeminkDelft University of TechnologyVerified email at tudelft.nl
Sanne MuisInstitute for Environmental Studies (IVM), Vrije Universiteit AmsterdamVerified email at vu.nl
Hessel WinsemiusDeltaresVerified email at deltares.nl
Jeroen cjh AertsProf. VU University AmsterdamVerified email at vu.nl
M. Umer AltafResearch Scientist, KAUSTVerified email at kaust.edu.sa
Michalis VousdoukasEuropean Commission, Joint Research CentreVerified email at ec.europa.eu
Lorenzo MentaschiDipartimento di Fisica e Astronomia, Università di BolognaVerified email at unibo.it
Mats GyllenbergUniversity of HelsinkiVerified email at helsinki.fi
Koski TimoKTH and University of Helsinki/HIITVerified email at kth.se
Robert J. NichollsDirector, Tyndall Centre for Climate Change Research, University of East AngliaVerified email at uea.ac.uk
Svetlana JevrejevaNational Oceanography Centre, UKVerified email at noc.ac.uk
Joao Lima RegoDeltaresVerified email at deltares.nl
Tijana JanjicProfessor of Data Assimilation, Mathematical Institute for machine learning and Data ScienceVerified email at ku.de
Remus HaneaStatoilVerified email at statoil.com
Maurizio MazzoleniAssistant Professor, Institute for Environmental Studies, VU Amsterdam, NetherlandsVerified email at vu.nl
Dimitri SolomatineUNESCO-IHE Institute fro Water EducationVerified email at unesco-ihe.org
Albrecht WeertsDeltares / Wageningen University & ResearchVerified email at deltares.nl
Hiroaki IkeuchiUniversity of TokyoVerified email at rainbow.iis.u-tokyo.ac.jp
Edwin VollebregtResearcher, Vtech CMCCVerified email at cmcc.nl
Dennis McLaughlinProfessor of Civil and Environmental Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu

Martin Verlaan

Professor Data Assimilation, Mathematics, Technical University Delft and senior researcher Deltares

Verified email at tudelft.nl - Homepage

data-assimilation kalman filtering tides storm-surges model calibration


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A global reanalysis of storm surges and extreme sea levels S Muis, M Verlaan, HC Winsemius, JCJH Aerts, PJ Ward Nature communications 7 (1), 1-12, 2016	370	2016
Global probabilistic projections of extreme sea levels show intensification of coastal flood hazard MI Vousdoukas, L Mentaschi, E Voukouvalas, M Verlaan, S Jevrejeva, ... Nature communications 9 (1), 1-12, 2018	323	2018
Extreme sea levels on the rise along Europe's coasts MI Vousdoukas, L Mentaschi, E Voukouvalas, M Verlaan, L Feyen Earth's Future 5 (3), 304-323, 2017	236	2017
Tidal flow forecasting using reduced rank square root filters M Verlaan, AW Heemink Stochastic Hydrology and Hydraulics 11 (5), 349-368, 1997	228	1997
Variance reduced ensemble Kalman filtering AW Heemink, M Verlaan, AJ Segers Monthly Weather Review 129 (7), 1718-1728, 2001	188	2001
The impact of future sea-level rise on the global tides MD Pickering, KJ Horsburgh, JR Blundell, JJM Hirschi, RJ Nicholls, ... Continental Shelf Research 142, 50-68, 2017	148	2017
Nonlinearity in data assimilation applications: A practical method for analysis M Verlaan, AW Heemink Monthly weather review 129 (6), 1578-1589, 2001	106	2001
Operational storm surge forecasting in the Netherlands: developments in the last decade M Verlaan, A Zijderveld, H de Vries, J Kroos Philosophical Transactions of the Royal Society of London A: Mathematical …, 2005	100	2005
Compound simulation of fluvial floods and storm surges in a global coupled river‐coast flood model: Model development and its application to 2007 C yclone S idr in B angladesh H Ikeuchi, Y Hirabayashi, D Yamazaki, S Muis, PJ Ward, HC Winsemius, ... Journal of Advances in Modeling Earth Systems 9 (4), 1847-1862, 2017	91	2017
Improved water-level forecasting for the Northwest European Shelf and North Sea through direct modelling of tide, surge and non-linear interaction F Zijl, M Verlaan, H Gerritsen Ocean Dynamics 63 (7), 823-847, 2013	91	2013
Inverse 3D shallow water flow modelling of the continental shelf AW Heemink, EEA Mouthaan, MRT Roest, EAH Vollebregt, ... Continental Shelf Research 22 (3), 465-484, 2002	91	2002
Reduced rank square root filters for large scale data assimilation problems. M Verlaan Second International Symposium on Assimilation of Observations in …, 1995	81	1995
Conservation of Mass and Preservation of Positivity with Ensemble-Type Kalman Filter Algorithms T Janjić, D McLaughlin, SE Cohn, M Verlaan Monthly Weather Review 142 (2), 755-773, 2014	74	2014
A comparison of two global datasets of extreme sea levels and resulting flood exposure S Muis, M Verlaan, RJ Nicholls, S Brown, J Hinkel, D Lincke, AT Vafeidis, ... Earth's Future 5 (4), 379-392, 2017	70	2017
Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M Mazzoleni, M Verlaan, L Alfonso, M Monego, D Norbiato, M Ferri, ... Hydrology and Earth System Sciences 21 (2), 839-861, 2017	68	2017
Non-uniqueness in probabilistic numerical identification of bacteria M Gyllenberg, T Koski, E Reilink, M Verlaan Journal of Applied Probability 31 (2), 542-548, 1994	66	1994
A High-Resolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections S Muis, MI Apecechea, J Dullaart, J de Lima Rego, KS Madsen, J Su, ... Frontiers in Marine Science 7, 263, 2020	58	2020
Classification of binary vectors by stochastic complexity M Gyllenberg, T Koski, M Verlaan Journal of Multivariate Analysis 63 (1), 47-72, 1997	56	1997
An iterative ensemble Kalman filter for reservoir engineering applications MV Krymskaya, RG Hanea, M Verlaan Computational Geosciences 13 (2), 235-244, 2009	54	2009
Global modeling of tropical cyclone storm surges using high-resolution forecasts N Bloemendaal, S Muis, RJ Haarsma, M Verlaan, MI Apecechea, ... Climate Dynamics 52 (7-8), 5031-5044, 2019	48	2019

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