Shifting in the global flood timing by Gonghuan Fang, Jing Yang, Zhi Li, Yaning Chen, Weili Duan, Charles Amory, Philippe De Maeyer

“…This study provides an insight on the shifting mechanism of flood timing, and supports decisions on the global flood mitigation and the impact from future climate change.…”
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Advancing global flood hazard simulations by improving comparability, benchmarking, and integration of global flood models by Jannis M Hoch, Mark A Trigg

Subjects: “…global flood models…”
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A vision for improving global flood forecasting by David A Lavers, Shaun Harrigan, Erik Andersson, David S Richardson, Christel Prudhomme, Florian Pappenberger

Subjects: “…global flood forecasting…”
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Global flood forecasting for averting disasters worldwide by Hirpa, FA, Pappenberger, F, Arnal, L, Baugh, CA, Cloke, HL, Dutra, E, Emerton, RE, Revilla-Romero, B, Salamon, P, Smith, PJ, Stephen, E, Wetterhall, F, Zsoter, E, Theielen-del Pozo, J

“…Globally, floods are responsible for more than half of the total people affected by all weather-related disasters combined, causing a large number of deaths and significant economic losses. …”

Global flood extent segmentation in optical satellite images by Enrique Portalés-Julià, Gonzalo Mateo-García, Cormac Purcell, Luis Gómez-Chova

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Integrating social vulnerability into high-resolution global flood risk mapping by Sean Fox, Felix Agyemang, Laurence Hawker, Jeffrey Neal

“…Abstract High-resolution global flood risk maps are increasingly used to inform disaster risk planning and response, particularly in lower income countries with limited data or capacity. …”
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Global Flood Disaster Research Graph Analysis Based on Literature Mining by Min Zhang, Juanle Wang

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Development of a Reservoir Flood Control Scheme for Global Flood Models by Risa Hanazaki, Dai Yamazaki, Kei Yoshimura

“…Abstract Integrating reservoir flood control operations in global flood forecasting systems is important for accurately estimating discharge and other variables. …”
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A data-driven global flood forecasting system for medium to large rivers by Wahid Palash, Ali S. Akanda, Shafiqul Islam

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Using ensemble reforecasts to generate flood thresholds for improved global flood forecasting by Ervin Zsoter, Christel Prudhomme, Elisabeth Stephens, Florian Pappenberger, Hannah Cloke

“…Abstract Global flood forecasting systems rely on predefining flood thresholds to highlight potential upcoming flood events. …”
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Towards global flood mapping onboard low cost satellites with machine learning by Mateo-Garcia, G, Veitch-Michaelis, J, Smith, L, Oprea, SV, Schumann, G, Gal, Y, Baydin, AG, Backes, D

Increasing Global Flood Risk in 2005–2020 from a Multi-Scale Perspective by Yu Duan, Junnan Xiong, Weiming Cheng, Yi Li, Nan Wang, Gaoyun Shen, Jiawei Yang

“…The results revealed that global flood risk increased during 2005–2020, with the percentages of high-risk areas being 4.3%, 4.48%, 4.6%, and 5.02%, respectively. …”
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Cyclones and Global Floods from an Observation-Simulation Evaluation: Contributions and Long-Term Changes by Liangyi Wang, Xihui Gu, Hylke E. Beck

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Improving global flood and drought predictions: integrating non-floodplain wetlands into watershed hydrologic models by Heather E Golden, Charles R Lane, Adnan Rajib, Qiusheng Wu

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Recommendations to improve the interpretation of global flood forecasts to support international humanitarian operations for tropical cyclones by Speight, L, Stephens, E, Hawker, L, Baugh, C, Neal, J, Cloke, H, Grey, S, Titley, H, Marsden, K, Sumner, T, Ficchi, A, Prudhomme, C, Archer, L, Bazo, J, Dambo, J, Dolan, S, Huhn, AL, Moschini, F, Savage, J, Smith, A, Towner, J, Wanzala, M

Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System by S. Harrigan, E. Zsoter, E. Zsoter, H. Cloke, H. Cloke, H. Cloke, H. Cloke, P. Salamon, C. Prudhomme, C. Prudhomme, C. Prudhomme

“…The vast amounts of raw data that underpin forecast systems and the ability to generate information on forecast skill have, until now, not been publicly available. As part of the Global Flood Awareness System (GloFAS; <span class="uri">https://www.globalfloods.eu/</span>, last access: 3 December 2022) service evolution, in this paper daily ensemble river discharge reforecasts and real-time forecast datasets are made free and openly available through the Copernicus Climate Change Service (C3S) Climate Data Store (CDS). …”
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The Impact of SMOS Soil Moisture Data Assimilation within the Operational Global Flood Awareness System (GloFAS) by Calum Baugh, Patricia de Rosnay, Heather Lawrence, Toni Jurlina, Matthias Drusch, Ervin Zsoter, Christel Prudhomme

“…In this study the impacts of Soil Moisture and Ocean Salinity (SMOS) soil moisture data assimilation upon the streamflow prediction of the operational Global Flood Awareness System (GloFAS) were investigated. …”
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Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service by Christian Krullikowski, Candace Chow, Marc Wieland, Sandro Martinis, Bernhard Bauer-Marschallinger, Florian Roth, Patrick Matgen, Marco Chini, Renaud Hostache, Yu Li, Peter Salamon

“…The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service addresses the challenges and impacts that are caused by flooding. …”
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A decision-led evaluation approach for flood forecasting system developments: an application to the Global Flood Awareness System in Bangladesh by Hossain, S, Cloke, H, Ficchi, A, Gupta, Speight, L, Hassan, A, Stephens, E

“…However, responses to such changes are complex, particularly in global models, and evaluation of improvements remains focussed on generalised skill assessments and not on the most relevant outcomes for those taking decisions. Recently, the Global Flood Awareness System (GloFAS) flood forecasting model has been upgraded from version 2.1 to 3.1 with a significant change to its hydrological model structure. …”

A Residual Neural Network Integrated with a Hydrological Model for Global Flood Susceptibility Mapping Based on Remote Sensing Datasets by Junfei Liu, Kai Liu, Ming Wang

“…Therefore, this study presents a novel approach for flood susceptibility prediction by integrating ResNet-18 with a 2D hydrological model for global flood susceptibility mapping using remote sensing datasets. …”
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