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
Kun YanDeltaresVerified email at deltares.nl
Joao Lima RegoDeltaresVerified email at deltares.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
Mats GyllenbergUniversity of HelsinkiVerified email at helsinki.fi
Koski TimoKTH and University of Helsinki/HIITVerified email at kth.se
Svetlana JevrejevaNational Oceanography Centre, UKVerified email at noc.ac.uk
Robert J. NichollsDirector, Tyndall Centre for Climate Change Research, University of East AngliaVerified email at uea.ac.uk
Job DullaartKNMIVerified email at knmi.nl
Hai Xiang LinDelft University of Technology, Leiden UniversityVerified email at tudelft.nl
Tijana JanjicProfessor of Data Assimilation, Mathematical Institute for machine learning and Data ScienceVerified email at ku.de
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
Nadia BloemendaalVrije Universiteit AmsterdamVerified email at vu.nl

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	618*	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	616	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	354	2017
Tidal flow forecasting using reduced rank square root filters M Verlaan, AW Heemink Stochastic Hydrology and Hydraulics 11 (5), 349-368, 1997	229	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	217	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	195	2020
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	153	2017
Nonlinearity in data assimilation applications: A practical method for analysis M Verlaan, AW Heemink Monthly weather review 129 (6), 1578-1589, 2001	114	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	113	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	108	2005
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	101	2017
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	100	2019
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	98	2002
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	92	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	89	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
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	74	1994
Classification of binary vectors by stochastic complexity M Gyllenberg, T Koski, M Verlaan Journal of Multivariate Analysis 63 (1), 47-72, 1997	57	1997
An iterative ensemble Kalman filter for reservoir engineering applications MV Krymskaya, RG Hanea, M Verlaan Computational Geosciences 13, 235-244, 2009	55	2009

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