Flood Risk Knowledge
SLAPIS SAHELProject From flood mapping to informed action An effective Early Warning System must do more than forecast rising water levels. It must also identify what may be affected, where the most serious impacts may occur and which actions should be taken. Within SLAPIS Sahel, flood risk assesment is developed for the Sirba River basin […]
Co-producing a Transboundary Flood Early Warning System
SLAPIS SAHEL Project Working together across borders to protect communities at risk Floods do not stop at national borders. Along the Sirba River, which flows from Burkina Faso into Niger before joining the Niger River, flood waves generated upstream can threaten downstream communities hundreds of kilometres away. Effective flood early warning therefore requires not only […]
Competences co-development
SLAPIS SAHEL PROJECT Building operational forecasting capacity through long-term institutional collaboration Early warning systems are based on weather forecasts, numerical models, data platforms and technological innovation. Yet experience shows that technology alone is not enough. The effectiveness and sustainability of early warning services ultimately depend on the ability of institutions to operate, assess, adapt and […]
Met Meet
Il Centro Regionale di Formazione dell’Organizzazione Meteorologica Mondiale in Italia (WMO-RTC Italy) ed il Consorzio LaMMA organizzano una serie di webinar gratuiti sui temi legati all’innovazione in Meteorologia e Climatologia. I MetMeet sono dedicati ai centri regionali ma anche alle università e ad altri enti di ricerca come CNR, ENEA, CMCC, CIMA, fondazioni e privati. […]
Slapis Sahel Numerical Weather Prediction
SLAPIS SAHELProject Numerical Weather Predictionin SLAPIS Sahel One of the key objectives of the SLAPIS Sahel project is to strengthen national capacities in Numerical Weather Prediction (NWP) as a support for hydrological early warning, particularly for flash floods and flooding events along the Sirba River and the Niger River. The national meteorological agencies of Niger […]
Agricultural Meteorology School 5th Edition 2025
Fifth Edition 2025 International School of Agrometeorology Agricultural Meteorologyfor Agriculture Management at Microscale 9-13 June 2025, Ancona, Italy About the Fifth edition Effective agricultural management requires detailed knowledge of microclimatic conditions at the field and sub-field scale. Agricultural Meteorology provides essential tools to monitor and analyse local climate variability, supporting data-driven decisions for resource optimization […]
EWAfrica
An International Training Initiative to Support the Early Warnings for All Action Plan for Africa.
Slapis Sahel
SLAPIS SAHELProject Système Locale d’Alerte Précoce pour les Inondations au Sahel Slapis Sahel A Training and Research for Development Project The increase in the frequency and intensity of extreme hydro-meteorological events has prompted Sahelian governments to request support from the international community in implementing early warning systems to help vulnerable riverine communities manage the risk […]
Agricultural Meteorology School 3rd Edition 2023
Third Edition 2023 International School of Agrometeorology Agricultural Meteorology for Supporting Crop Production Bratislava, Slovakia 11-15 December 2023 About the third edition Crop production and natural resource management need innovative approaches to cope with climate challenges and geopolitical crises that increasingly threaten agriculture. Agrometeorology, through the development of new information, knowledge, and innovative tools can […]
Agricultural Meteorology School 2nd Edition 2022
Second Edition 2022 International School of Agrometeorology Agricultural Meteorology for Sustainable Water Management in Agroecosystems Bologna, Italy 5-9 September 2022 Who is it for? The 1-week face-to-face course “Agriculture meteorology for sustainable water management in agroecosystems” was designed with the aim to facilitate participants to increase their knowledge of novel scientific results, and advanced technologies […]
