Sanne Muis

About Sanne Muis

Sanne Muis, With an exceptional h-index of 26 and a recent h-index of 26 (since 2020), a distinguished researcher at Vrije Universiteit Amsterdam, specializes in the field of flood risk, coastal flooding, sea level variability, global modelling, hydrodynamics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Estimating nearshore infragravity wave conditions at large spatial scales

Improving our understanding of future tropical cyclone intensities in the Caribbean using a high-resolution regional climate model

Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution

A spatially-dependent synthetic global dataset of extreme sea level events

Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast

Enabling dynamic modelling of coastal flooding by defining storm tide hydrographs

A globally applicable framework for compound flood hazard modeling

The potential of global coastal flood risk reduction using various DRR measures

Sanne Muis Information

University

Position

Institute for Environmental Studies (IVM)

Citations(all)

3350

Citations(since 2020)

2981

Cited By

1121

hIndex(all)

26

hIndex(since 2020)

26

i10Index(all)

31

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Sanne Muis Skills & Research Interests

flood risk

coastal flooding

sea level variability

global modelling

hydrodynamics

Top articles of Sanne Muis

Estimating nearshore infragravity wave conditions at large spatial scales

Frontiers in Marine Science

2024/3/13

Jeroen Cjh Aerts
Jeroen Cjh Aerts

H-Index: 57

Sanne Muis
Sanne Muis

H-Index: 16

Improving our understanding of future tropical cyclone intensities in the Caribbean using a high-resolution regional climate model

Scientific Reports

2024/3/13

Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution

Earth System Science Data

2024/2/27

A spatially-dependent synthetic global dataset of extreme sea level events

Weather and Climate Extremes

2023/9/1

Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast

2024 Ocean Sciences Meeting

2024/2/22

Jennifer Thomas
Jennifer Thomas

H-Index: 3

Sanne Muis
Sanne Muis

H-Index: 16

Enabling dynamic modelling of coastal flooding by defining storm tide hydrographs

Natural Hazards and Earth System Sciences

2023/5/22

A globally applicable framework for compound flood hazard modeling

Natural hazards and earth system sciences

2023/2/27

Sanne Muis
Sanne Muis

H-Index: 16

Job Dullaart
Job Dullaart

H-Index: 2

The potential of global coastal flood risk reduction using various DRR measures

Natural Hazards and Earth System Sciences Discussions

2023/1/24

Toon Haer
Toon Haer

H-Index: 9

Sanne Muis
Sanne Muis

H-Index: 16

Modeled storm surge changes in a warmer world: the Last Interglacial

Climate of the Past

2023/1/16

A globally consistent local-scale assessment of future tropical cyclone risk

Science advances

2022/4/27

A flood risk framework capturing the seasonality of and dependence between rainfall and sea levels—An application to Ho Chi Minh City, Vietnam

Water Resources Research

2022/2

Global projections of storm surges using high-resolution CMIP6 climate models: validation, projected changes, and methodological challenges

Authorea Preprints

2022/11/22

Enabling dynamic modelling of global coastal flooding by defining storm tide hydrographs

EGUsphere

2022/10/28

Exploring deep learning capabilities for surge predictions in coastal areas

Scientific reports

2021/8/26

Sanne Muis
Sanne Muis

H-Index: 16

Uncertainty and bias in global to regional scale assessments of current and future coastal flood risk

Earth's Future

2021/7

Sanne Muis
Sanne Muis

H-Index: 16

Thomas Wahl
Thomas Wahl

H-Index: 26

Accounting for tropical cyclones more than doubles the global population exposed to low-probability coastal flooding

Communications Earth & Environment

2021/6/29

Extreme sea levels along coastal China: uncertainties and implications

Stochastic Environmental Research and Risk Assessment

2021/2

Estimation of global tropical cyclone wind speed probabilities using the STORM dataset

Scientific data

2020/11/10

Global river discharge and floods in the warmer climate of the Last Interglacial

Geophysical Research Letters

2020/9/28

The effect of surge on riverine flood hazard and impact in deltas globally

Environmental Research Letters

2020/9/18

Sanne Muis
Sanne Muis

H-Index: 16

See List of Professors in Sanne Muis University(Vrije Universiteit Amsterdam)

Co-Authors

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