| 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 | 246 | 2016 |
| Tidal flow forecasting using reduced rank square root filters M Verlaan, AW Heemink Stochastic Hydrology and Hydraulics 11 (5), 349-368, 1997 | 223 | 1997 |
| 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 | 192 | 2018 |
| Variance reduced ensemble Kalman filtering AW Heemink, M Verlaan, AJ Segers Monthly Weather Review 129 (7), 1718-1728, 2001 | 187 | 2001 |
| 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 | 156 | 2017 |
| Nonlinearity in data assimilation applications: A practical method for analysis M Verlaan, AW Heemink Monthly weather review 129 (6), 1578-1589, 2001 | 97 | 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 | 93 | 2017 |
| 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 |
| 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 | 82 | 2002 |
| Reduced rank square root filters for large scale data assimilation problems. M Verlaan Second International Symposium on Assimilation of Observations in …, 1995 | 77 | 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 | 67 | 2013 |
| 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 | 58 | 2014 |
| Non-uniqueness in probabilistic numerical identification of bacteria M Gyllenberg, T Koski, E Reilink, M Verlaan Journal of Applied Probability, 542-548, 1994 | 55 | 1994 |
| Classification of binary vectors by stochastic complexity M Gyllenberg, T Koski, M Verlaan Journal of Multivariate Analysis 63 (1), 47-72, 1997 | 54 | 1997 |
| 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 | 52 | 2017 |
| An iterative ensemble Kalman filter for reservoir engineering applications MV Krymskaya, RG Hanea, M Verlaan Computational Geosciences 13 (2), 235-244, 2009 | 50 | 2009 |
| 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 | 44 | 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 | 44 | 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 |
| Application of data assimilation for improved operational water level forecasting on the northwest European shelf and North Sea F Zijl, J Sumihar, M Verlaan Ocean Dynamics 65 (12), 1699-1716, 2015 | 32 | 2015 |
A. W. HeeminkDelft University of TechnologyVerified email at tudelft.nl
