Martin Verlaan

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Coauteurs

A. W. HeeminkDelft University of TechnologyAdresse e-mail validée de tudelft.nl
Hessel WinsemiusDeltaresAdresse e-mail validée de deltares.nl
Sanne MuisInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam & Deltares, DelftAdresse e-mail validée de vu.nl
Jeroen cjh AertsProf. VU University AmsterdamAdresse e-mail validée de vu.nl
Roland KleesDelft University of TechnologyAdresse e-mail validée de tudelft.nl
Michalis VousdoukasDepartment of Marine Sciences, University of the AegeanAdresse e-mail validée de marine.aegean.gr
Lorenzo MentaschiDipartimento di Fisica e Astronomia, Università di BolognaAdresse e-mail validée de unibo.it
M. Umer AltafStaff Scientist, KAUSTAdresse e-mail validée de kaust.edu.sa
Kun YanDeltaresAdresse e-mail validée de deltares.nl
Joao Lima RegoDeltaresAdresse e-mail validée de deltares.nl
Mats GyllenbergUniversity of HelsinkiAdresse e-mail validée de helsinki.fi
Koski TimoKTH and University of Helsinki/HIITAdresse e-mail validée de kth.se
Job DullaartKNMIAdresse e-mail validée de knmi.nl
Robert J. NichollsDirector, Tyndall Centre for Climate Change Research, University of East AngliaAdresse e-mail validée de uea.ac.uk
Svetlana JevrejevaNational Oceanography Centre, UKAdresse e-mail validée de noc.ac.uk
Tijana JanjicProfessor of Data Assimilation, Mathematical Institute for machine learning and Data ScienceAdresse e-mail validée de ku.de
Hai Xiang LinDelft University of Technology, Leiden UniversityAdresse e-mail validée de tudelft.nl
Maurizio MazzoleniAssistant Professor, Institute for Environmental Studies, VU Amsterdam, NetherlandsAdresse e-mail validée de vu.nl
Dimitri SolomatineUNESCO-IHE Institute fro Water EducationAdresse e-mail validée de unesco-ihe.org
Remus HaneaStatoilAdresse e-mail validée de statoil.com

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Martin Verlaan

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

Adresse e-mail validée de tudelft.nl - Page d'accueil

data-assimilation kalman filtering tides storm-surges model calibration


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	519	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	502	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	131	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	101	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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