U-FLOOD – Topographic deep learning for predicting urban pluvial flood water depth

FloodStroem: A fast dynamic GIS-based urban flood and damage model

(2021) Cecilie Thrysøe et al.   JOURNAL OF HYDROLOGY

U-FLOOD – Topographic deep learning for predicting urban pluvial flood water depth

(2021) Roland Löwe et al.   JOURNAL OF HYDROLOGY

Predicting clustered weather patterns: A test case for applications of convolutional neural networks to spatio-temporal climate data

(2020) Ashesh Chattopadhyay et al.   Scientific Reports

Analysis of Hyetographs for Drainage System Modeling

(2020) Katarzyna Wartalska et al.   Water

A hybrid model for fast and probabilistic urban pluvial flood prediction

(2020) Xiaohan Li et al.   WATER RESOURCES RESEARCH

A spatial planning-support system for generating decentralised urban stormwater management schemes

(2020) Peter M. Bach et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Prediction of Maximum Flood Inundation Extents With Resilient Backpropagation Neural Network: Case Study of Kulmbach

(2020) Qing Lin et al.   Frontiers in Earth Science

Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?

(2020) Binh Thai Pham et al.   JOURNAL OF HYDROLOGY

Training Machine Learning Surrogate Models From a High‐Fidelity Physics‐Based Model: Application for Real‐Time Street‐Scale Flood Prediction in an Urban Coastal Community

(2020) Faria T. Zahura et al.   WATER RESOURCES RESEARCH

Data‐driven flood emulation: Speeding up urban flood predictions by deep convolutional neural networks

(2020) Zifeng Guo et al.   Journal of Flood Risk Management

Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability

(2020) Mohammadtaghi Avand et al.   JOURNAL OF HYDROLOGY

Comparing cost effectiveness of surface water flood management interventions in a UK catchment

(2019) James L Webber et al.   Journal of Flood Risk Management

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

An ensemble neural network model for real-time prediction of urban floods

(2019) Simon Berkhahn et al.   JOURNAL OF HYDROLOGY

Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning

(2019) Frederik Kratzert et al.   WATER RESOURCES RESEARCH

Learning Temporal and Spatial Correlations Jointly: A Unified Framework for Wind Speed Prediction

(2019) Qiaomu Zhu et al.   IEEE Transactions on Sustainable Energy

Arc-Malstrøm: A 1D hydrologic screening method for stormwater assessments based on geometric networks

(2018) Thomas Balstrøm et al.   COMPUTERS & GEOSCIENCES

Development and Comparison of Two Fast Surrogate Models for Urban Pluvial Flood Simulations

(2018) María Bermúdez et al.   WATER RESOURCES MANAGEMENT

A rapid urban flood inundation and damage assessment model

(2018) Behzad Jamali et al.   JOURNAL OF HYDROLOGY

Selection of rainfall information as input data for the design of combined sewer overflow solutions

(2018) Marie-Ève Jean et al.   JOURNAL OF HYDROLOGY

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Simplification of one-dimensional hydraulic networks by automated processes evaluated on 1D/2D deterministic flood models

(2017) Steffen Davidsen et al.   JOURNAL OF HYDROINFORMATICS

Assessment of urban pluvial flood risk and efficiency of adaptation options through simulations – A new generation of urban planning tools

(2017) Roland Löwe et al.   JOURNAL OF HYDROLOGY

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Initial conditions of urban permeable surfaces in rainfall-runoff models using Horton's infiltration

(2017) Steffen Davidsen et al.   WATER SCIENCE AND TECHNOLOGY

A weighted cellular automata 2D inundation model for rapid flood analysis

(2016) Michele Guidolin et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Modelling with stakeholders – Next generation

(2016) Alexey Voinov et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Characterising performance of environmental models

(2012) Neil D. Bennett et al.   ENVIRONMENTAL MODELLING & SOFTWARE