Martin Verlaan

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A. W. HeeminkDelft University of TechnologyVerified email at tudelft.nl
Hessel WinsemiusDeltaresVerified email at deltares.nl
Sanne MuisInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam & Deltares, DelftVerified email at vu.nl
Jeroen cjh AertsProf. VU University AmsterdamVerified email at vu.nl
Roland KleesDelft University of TechnologyVerified email at tudelft.nl
Michalis VousdoukasDepartment of Marine Sciences, University of the AegeanVerified email at marine.aegean.gr
Lorenzo MentaschiDipartimento di Fisica e Astronomia, Università di BolognaVerified email at unibo.it
M. Umer AltafStaff Scientist, KAUSTVerified email at kaust.edu.sa
Kun YanDeltaresVerified email at deltares.nl
Joao Lima RegoDeltaresVerified email at deltares.nl
Mats GyllenbergUniversity of HelsinkiVerified email at helsinki.fi
Koski TimoKTH and University of Helsinki/HIITVerified email at kth.se
Job DullaartKNMIVerified email at knmi.nl
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
Tijana JanjicProfessor of Data Assimilation, Mathematical Institute for machine learning and Data ScienceVerified email at ku.de
Hai Xiang LinDelft University of Technology, Leiden UniversityVerified email at tudelft.nl
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
Remus HaneaStatoilVerified email at statoil.com

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), 11969, 2016	518	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), 2360, 2018	500	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	308	2017
Tidal flow forecasting using reduced rank square root filters M Verlaan, AW Heemink Stochastic Hydrology and Hydraulics 11 (5), 349-368, 1997	230	1997
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	196	2017
Variance reduced ensemble Kalman filtering AW Heemink, M Verlaan, AJ Segers Monthly Weather Review 129 (7), 1718-1728, 2001	189	2001
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	132	2017
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	130	2020
Nonlinearity in data assimilation applications: A practical method for analysis M Verlaan, AW Heemink Monthly weather review 129 (6), 1578-1589, 2001	113	2001
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	103	2013
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
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	97	2002
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	94	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	85	2017
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	85	2014
Reduced rank square root filters for large scale data assimilation problems M Verlaan Proc. Intl. Symp. on Assimilation of Observations in Meteorology and …, 1995	79	1995
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	77	2019
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	71	1994
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, 235-244, 2009	54	2009

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