From 24th to 28th of April the EGU’s General Assembly was held in Vienna, attended by more than 15,000 researchers and stakeholders from around the world. OUTLAST Project members were also attending, presenting multiple contributions from this year’s research and presenting the OUTLAST project.
In the session “HS4.2 – Drought and water scarcity: monitoring, modelling, and forecasting to enhance drought risk management,” we emphasized the importance of establishing a global crop drought index that encompasses rainfed agriculture. This index would provide crucial insights into drought conditions and aid in evaluating their impact on crop productivity. Furthermore, in the session “HS1.1.4 Elevating practice in the science-policy-practice nexus: highlights from operationalization of hydrological research and interdisciplinary collaborations,” we introduced the OUTLAST project, which focuses on the development of a global multi-sectoral drought forecasting system (DOI: 10.5194/egusphere-egu23-11755, 10.5194/egusphere-egu23-8730) . In addition, the sessions included a notable case study on Germany, specifically on enhancing the predictive capability of global SEAS5 ensemble forecasts using bias correction. Jan Weber presented this insightful research, highlighting the importance of addressing biases in ensemble forecasts to improve their accuracy and reliability (DOI: 10.5194/egusphere-egu23-14589) .