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Kun Yan
Kun Yan
Подтвержден адрес электронной почты в домене deltares.nl
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Процитировано
Процитировано
Год
Debates—Perspectives on socio‐hydrology: Capturing feedbacks between physical and social processes
G Di Baldassarre, A Viglione, G Carr, L Kuil, K Yan, L Brandimarte, ...
Water Resources Research 51 (6), 4770-4781, 2015
4932015
A review of low‐cost space‐borne data for flood modelling: topography, flood extent and water level
K Yan, G Di Baldassarre, DP Solomatine, GJP Schumann
Hydrological processes 29 (15), 3368-3387, 2015
1682015
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
1572020
Exploring the potential of SRTM topographic data for flood inundation modelling under uncertainty
K Yan, G Di Baldassarre, DP Solomatine
Journal of hydroinformatics 15 (3), 849-861, 2013
692013
Exploring the potential of SRTM topography and radar altimetry to support flood propagation modeling: Danube case study
K Yan, A Tarpanelli, G Balint, T Moramarco, GD Baldassarre
Journal of Hydrologic Engineering 20 (2), 04014048, 2015
462015
The interplay between human population dynamics and flooding in Bangladesh: a spatial analysis
LB G. Di Baldassarre, K. Yan, MD. R. Ferdous
25*2014
Testing new sources of topographic data for flood propagation modelling under structural, parameter and observation uncertainty
MM Mukolwe, K Yan, G Di Baldassarre, DP Solomatine
Hydrological Sciences Journal 61 (9), 1707-1715, 2016
232016
An entropy method for floodplain monitoring network design
E Ridolfi, K Yan, L Alfonso, G Di Baldassarre, F Napolitano, F Russo, ...
AIP Conference Proceedings 1479 (1), 1780-1783, 2012
132012
Global and low-cost topographic data to support flood studies
K Yan, JC Neal, DP Solomatine, G Di Baldassarre
Hydro-Meteorological Hazards, Risks, and Disasters, 85-102, 2023
82023
Global sea level change time series from 1950 to 2050 derived from reanalysis and high resolution CMIP6 climate projections
S Muis, MI Apecechea, JA Álvarez, M Verlaan, K Yan, J Dullaart, J Aerts, ...
Copernicus Clim. Chang. Serv. Clim. Data Store. https://cds. climate …, 2022
72022
Water level change time series for the European coast from 1977 to 2100 derived from climate projections
K Yan, S Muis, M Irazoqui, M Verlaan
Copernicus Climate Change Service (C3S) Climate Data Store (CDS), 2020
72020
Regional versus physically-based methods for flood inundation modelling in data scarce areas: an application to the Blue Nile
K Yan, F Pappenberger, YM Umer, DP Solomatine, G Di Baldassarre
72014
Global projections of storm surges using high-resolution CMIP6 climate models: validation, projected changes, and methodological challenges
S Muis, J Aerts, JAÁ Antolínez, J Dullaart, TM Duong, L Erikson, ...
Authorea Preprints, 2022
62022
Global-to-local scale storm surge modelling on tropical cyclone affected coasts
S De Kleermaeker, M Verlaan, T Mortlock, JL Rego, MI Apecechea, K Yan, ...
Australasian Coasts & Ports, 358-364, 2017
52017
Low-cost space-borne data for inundation modelling: topography, flood extent and water level
K Yan
Taylor & Francis Group, 2015
22015
Optimization of floodplain monitoring sensors through an entropy approach
E Ridolfi, K Yan, L Alfonso, G Di Baldassarre, F Napolitano, F Russo, ...
EGU General Assembly Conference Abstracts, 12407, 2012
22012
Global Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models
S Muis, JCJH Aerts, JA Á. Antolínez, JC Dullaart, TM Duong, L Erikson, ...
Earth's Future 11 (9), e2023EF003479, 2023
12023
Using the next generation Global Tide and Surge Model to simulate historical and future extreme sea-levels
S Muis, M Irazoqui Apecechea, K Yan, J Dullaart, M Verlaan
AGU Fall Meeting Abstracts 2019, OS22A-01, 2019
12019
Flood Hazard Mapping in Data‐Scarce Areas: An Application Example of Regional Versus Physically Based Approaches for Design Flood Estimation
K Yan, G Di Baldassarre, F Pappenberger
Global Flood Hazard: Applications in Modeling, Mapping, and Forecasting, 79-86, 2018
12018
Flood inundation modelling in data-poor areas: a case study
K Yan, G Di Baldassarre, F Pappenberger, D Solomatine
EGU General Assembly Conference Abstracts, 16556, 2014
12014
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Статьи 1–20