Martin Verlaan

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	All	Since 2015
Citations	2378	1342
h-index	25	19
i10-index	42	26

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315

19971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202028 10 22 22 33 31 75 52 54 70 78 66 87 67 81 56 82 81 85 88 139 260 348 413

Co-authors

A. W. HeeminkDelft University of TechnologyVerified email at tudelft.nl
Sanne MuisInstitute for Environmental Studies (IVM), Vrije Universiteit AmsterdamVerified email at vu.nl
Philip WardSenior Researcher in Water-Related Risks and Hydrology, Institute for Environmental Studies, VU University AmsterdamVerified email at ivm.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 MentaschiEuropean Commission, Joint Research CentreVerified email at ec.europa.eu
Mats GyllenbergUniversity of HelsinkiVerified email at helsinki.fi
Koski TimoProfessor of Mathematical StatisticsVerified email at kth.se
Robert 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
Tijana Janjic PfanderLudwig Maximilian University of MunichVerified email at pfander.org
Remus HaneaStatoilVerified email at statoil.com
Albrecht WeertsDeltares / Wageningen University & ResearchVerified email at deltares.nl
Maurizio MazzoleniUppsala UniversityVerified email at geo.uu.se
Dimitri SolomatineUNESCO-IHE Institute fro Water EducationVerified email at unesco-ihe.org
Edwin VollebregtResearcher, Vtech CMCCVerified email at cmcc.nl
Dennis McLaughlinProfessor of Civil and Environmental Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Hiroaki IkeuchiUniversity of TokyoVerified email at rainbow.iis.u-tokyo.ac.jp

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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Tidal flow forecasting using reduced rank square root filters M Verlaan, AW Heemink Stochastic Hydrology and Hydraulics 11 (5), 349-368, 1997	222	1997
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	213	2016
Variance reduced ensemble Kalman filtering AW Heemink, M Verlaan, AJ Segers Monthly Weather Review 129 (7), 1718-1728, 2001	186	2001
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	165	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	144	2017
Nonlinearity in data assimilation applications: A practical method for analysis M Verlaan, AW Heemink Monthly weather review 129 (6), 1578-1589, 2001	99	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	92	2005
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	83	2017
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	79	2002
Reduced rank square root filters for large scale data assimilation problems. M Verlaan Second International Symposium on Assimilation of Observations in …, 1995	76	1995
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	65	2013
Non-uniqueness in probabilistic numerical identification of bacteria M Gyllenberg, T Koski, E Reilink, M Verlaan Journal of Applied Probability, 542-548, 1994	56	1994
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	53	2014
Classification of binary vectors by stochastic complexity M Gyllenberg, T Koski, M Verlaan Journal of Multivariate Analysis 63 (1), 47-72, 1997	53	1997
An iterative ensemble Kalman filter for reservoir engineering applications MV Krymskaya, RG Hanea, M Verlaan Computational Geosciences 13 (2), 235-244, 2009	49	2009
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	46	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	42	2017
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	40	2017
A modified RRSQRT-filter for assimilating data in atmospheric chemistry models AJ Segers, AW Heemink, M Verlaan, M van Loon Environmental Modelling & Software 15 (6-7), 663-671, 2000	38	2000
An analytical model for the morphodynamics of a trench in the presence of tidal currents J van de Kreeke, SE Hoogewoning, M Verlaan Continental shelf research 22 (11), 1811-1820, 2002	31	2002

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