| The role of climate variability in extreme floods in Europe GG Nobre, B Jongman, J Aerts, PJ Ward Environmental Research Letters 12 (8), 084012, 2017 | 78 | 2017 |
| Influence of El Niño‐Southern Oscillation on global coastal flooding S Muis, ID Haigh, G Guimarães Nobre, JCJH Aerts, PJ Ward Earth's Future 6 (9), 1311-1322, 2018 | 56 | 2018 |
| Financing agricultural drought risk through ex-ante cash transfers GG Nobre, F Davenport, K Bischiniotis, T Veldkamp, B Jongman, CC Funk, ... Science of the total environment 653, 523-535, 2019 | 41 | 2019 |
| Forecasting transitions in the state of food security with machine learning using transferable features JJL Westerveld, MJC van den Homberg, GG Nobre, DLJ van den Berg, ... Science of the Total Environment 786, 147366, 2021 | 39 | 2021 |
| Achieving the reduction of disaster risk by better predicting impacts of El Niño and La Niña GG Nobre, S Muis, TIE Veldkamp, PJ Ward Progress in Disaster Science 2, 100022, 2019 | 37 | 2019 |
| Translating large-scale climate variability into crop production forecast in Europe G Guimarães Nobre, JE Hunink, B Baruth, JCJH Aerts, PJ Ward Scientific reports 9 (1), 1277, 2019 | 30 | 2019 |
| A framework for comparing permanent and forecast-based flood risk-reduction strategies K Bischiniotis, H de Moel, M van Den Homberg, A Couasnon, J Aerts, ... Science of the total environment 720, 137572, 2020 | 27 | 2020 |
| Assessing time, cost and quality trade-offs in forecast-based action for floods K Bischiniotis, B van den Hurk, EC de Perez, T Veldkamp, GG Nobre, ... International Journal of Disaster Risk Reduction 40, 101252, 2019 | 22 | 2019 |
| Influence of El Niño–Southern Oscillation on global coastal flooding. Earth’s Future, 6, 1311–1322 S Muis, ID Haigh, G Guimarães Nobre, J Aerts, PJ Ward | 12 | 2018 |
| Forecasting, thresholds, and triggers: Towards developing a Forecast-based Financing system for droughts in Mozambique GG Nobre, M Pasqui, S Quaresima, S Pieretto, RMLP Bonifácio Climate Services 30, 100344, 2023 | 5 | 2023 |
| What will the weather do? forecasting flood losses based on oscillation indices G Guimarães Nobre, H de Moel, M Giuliani, K Bischiniotis, JCJH Aerts, ... Earth's Future 8 (3), e2019EF001450, 2020 | 3 | 2020 |
| Floods, droughts and climate variability: From early warning to early action G Guimarães Nobre English. PhD thesis. Vrije Universiteit Amsterdam. isbn: 9789402816488, 2019 | 2 | 2019 |
| Migration and displacement risks: Connecting dots, understanding trends GG Nobre, K Peters, L Mayhew, D Guttieres, JI Cruz, L Saccoccia, ... | 2 | 2019 |
| Assessment of Coastal and Urban Flooding Hazards Applying Extreme Value Analysis and Multivariate Statistical Techniques: A Case Study in Elwood, Australia G Guimarães Nobre, K Arnbjerg-Nielsen, D Rosbjerg, H Madsen EGU General Assembly Conference Abstracts, EPSC2016-12448, 2016 | 2 | 2016 |
| Assessment of Coastal and Urban Flooding Hazards Applying Extreme Value Analysis and Multivariate Statistical Techniques: A Case Study in Elwood, Australia G Guimarães Nobre, K Arnbjerg-Nielsen, D Rosbjerg, H Madsen EGU General Assembly Conference Abstracts, EPSC2016-12448, 2016 | 2 | 2016 |
| Ready, set, go! An anticipatory action system against droughts G Guimarães Nobre, J Towner, B Nhantumbo, ... EGUsphere 2024, 1-30, 2024 | | 2024 |
| Forecasting and Quantifying Risks of Crop and Water Supply Failures Using Machine Learning and Remote Sensing A Grudnowska, M Wens, AF Rodriguez, S Contreras, G Nobre EGU24, 2024 | | 2024 |
| Incorporating indigenous knowledge systems-based climate services in anticipatory action in Zimbabwe: an ex-ante assessment T Dube, AL Huhn, G Guimarães Nobre, EN Moyo, M Enenkel Frontiers in Climate 6, 1301908, 2024 | | 2024 |
| Drought Forecast-based Financing: lessons learned in building a trigger menu for anticipatory action in Mozambique and Zimbabwe G Guimarães Nobre, R Bonifácio EGU General Assembly Conference Abstracts, EGU22-621, 2022 | | 2022 |
| InfoSequia: Towards an operational satellite-based Drought Early Warning and Forecasting System for quantifying risks of crop and water supply by using machine learning and … S Contreras, GG Nobre, A Fernández-Rodríguez, S Khanal, C Nolet, ... EGU General Assembly Conference Abstracts, EGU22-8016, 2022 | | 2022 |
