| Extreme rainfall and flooding over central Kenya including Nairobi city during the long-rains season 2018: Causes, predictability, and potential for early warning and actions M Kilavi, D MacLeod, M Ambani, J Robbins, R Dankers, R Graham, ... Atmosphere 9 (12), 472, 2018 | 89 | 2018 |
| A probabilistic approach for assessing landslide-triggering event rainfall in Papua New Guinea, using TRMM satellite precipitation estimates JC Robbins Journal of Hydrology 541, 296-309, 2016 | 54 | 2016 |
| Developing a hazard‐impact model to support impact‐based forecasts and warnings: The Vehicle OverTurning (VOT) Model R Hemingway, J Robbins Meteorological Applications 27 (1), e1819, 2020 | 33 | 2020 |
| Deriving optimal weather pattern definitions for the representation of precipitation variability over India R Neal, J Robbins, R Dankers, A Mitra, A Jayakumar, EN Rajagopal, ... International Journal of Climatology 40 (1), 342-360, 2020 | 31 | 2020 |
| Evaluating high‐impact precipitation forecasts from the Met Office Global Hazard Map (GHM) using a global impact database JC Robbins, HA Titley Meteorological Applications 25 (4), 548-560, 2018 | 27 | 2018 |
| Are Kenya Meteorological Department heavy rainfall advisories useful for forecast-based early action and early preparedness for flooding? D MacLeod, M Kilavi, E Mwangi, M Ambani, M Osunga, J Robbins, ... Natural Hazards and Earth System Sciences 21 (1), 261-277, 2021 | 22 | 2021 |
| LandAware: a new international network on Landslide Early Warning Systems M Calvello, G Devoli, K Freeborough, SL Gariano, F Guzzetti, ... Landslides 17, 2699-2702, 2020 | 21 | 2020 |
| Key factors influencing the severity of fluvial flood hazard from tropical cyclones HA Titley, HL Cloke, S Harrigan, F Pappenberger, C Prudhomme, ... Journal of Hydrometeorology 22 (7), 1801-1817, 2021 | 18 | 2021 |
| Sub-seasonal to seasonal prediction of weather extremes F Vitart, C Cunningham, M DeFlorio, E Dutra, L Ferranti, B Golding, ... Sub-seasonal to seasonal prediction, 365-386, 2019 | 17 | 2019 |
| Landslide inventory development in a data sparse region: spatial and temporal characteristics of landslides in Papua New Guinea JC Robbins, MG Petterson Natural Hazards and Earth System Sciences Discussions 3 (8), 4871-4917, 2015 | 15 | 2015 |
| Tumbi Landslide, Papua New Guinea: rainfall induced? JC Robbins, MG Petterson, K Mylne, JO Espi Landslides 10, 673-684, 2013 | 14 | 2013 |
| The application of predefined weather patterns over India within probabilistic medium‐range forecasting tools for high‐impact weather R Neal, G Guentchev, T Arulalan, J Robbins, R Crocker, A Mitra, ... Meteorological Applications 29 (3), e2083, 2022 | 13 | 2022 |
| Social sensing of high-impact rainfall events worldwide: A benchmark comparison against manually curated impact observations MD Spruce, R Arthur, J Robbins, HTP Williams Natural Hazards and Earth System Sciences 21 (8), 2407-2425, 2021 | 9 | 2021 |
| Communication and dissemination of forecasts and engaging user communities J Robbins, C Cunningham, R Dankers, M DeGennaro, G Dolif, R Duell, ... Sub-Seasonal to Seasonal Prediction, 399-419, 2019 | 6 | 2019 |
| Enhancing the Value of Weather and Climate Services in Society: Identified Gaps and Needs as Outcomes of the First WMO WWRP/SERA Weather and Society Conference M Göber, I Christel, D Hoffmann, CJ Mooney, L Rodriguez, N Becker, ... Bulletin of the American Meteorological Society 104 (3), E645-E651, 2023 | 5 | 2023 |
| Hazard map: real time hazard mapping using social media E Bee, P Coulon, J Robbins, J Tomlinson | 4 | 2012 |
| Planning for compound hazards during the COVID-19 pandemic: The role of climate information systems BF Zaitchik, J Omumbo, R Lowe, M van Aalst, LO Anderson, E Fischer, ... Bulletin of the American Meteorological Society 103 (3), E704-E709, 2022 | 3 | 2022 |
| Early warning of landslides in Scotland using probabilistic weather pattern forecasts J Robbins, R Dankers, C Dashwood, K Lee, R Neal, H Reeves EGU General Assembly Conference Abstracts, 7496, 2018 | 3 | 2018 |
| A Probabilistic Vehicle Overturning Module: Assessing the risk of disruption due to vehicles overturning on the UK road network during high wind events R Hemingway, J Robbins, J Mooney American Meteorological Society, Atlanta, USA, 2-6, 2014 | 3 | 2014 |
| Met Office Global Hazard Map—A prototype GIS Web Map Service for forecasting high-impact weather across the globe for the week ahead HA Titley, JC Robbins EMS Annu. Meet. Abstr 10 (1), 2013 | 3 | 2013 |
R DankersExpert in Climate ImpactsBestätigte E-Mail-Adresse bei wur.nl
