Assistant Professor at Politecnico di Torino (Italy) and YHS president. Working on rainfall extremes.
We studied who contributes to data rescue citizen science projects and why. From retired data pros to environmentally engaged volunteers, discover what drives participation in #citizenscience projects in the field of #hydrology. doi.org/10.1371/jour...
We studied who contributes to data rescue citizen science projects and why. From retired data pros to environmentally engaged volunteers, discover what drives participation in #citizenscience projects in the field of #hydrology. doi.org/10.1371/jour...
We compared the VHR-PRO_IT convection-permitting model with records of Italian rain gauges. Results show better performance for long durations: short events are often underestimated, especially in coastal and lowland areas.
doi.org/10.1016/j.wa...
We compared the VHR-PRO_IT convection-permitting model with records of Italian rain gauges. Results show better performance for long durations: short events are often underestimated, especially in coastal and lowland areas.
doi.org/10.1016/j.wa...
📅 Thu, 01 May, 08:30-10:15.
👤 Organized by @younghydrology.bsky.social.
🔗 meetingorganizer.copernicus.org/EGU25/sessio...
📅 Thu, 01 May, 08:30-10:15.
👤 Organized by @younghydrology.bsky.social.
🔗 meetingorganizer.copernicus.org/EGU25/sessio...
In doi.org/10.1016/j.ej... we show that:
- short-duration ordinary extremes increase all over Italy;
- longer duration ordinary extremes exhibit negative trends in some areas;
- the most intense extremes vary more than the ordinary ones.
In doi.org/10.1016/j.ej... we show that:
- short-duration ordinary extremes increase all over Italy;
- longer duration ordinary extremes exhibit negative trends in some areas;
- the most intense extremes vary more than the ordinary ones.
In our latest study, "A reassessment of the history of the temporal resolution of rainfall data at the global scale", we explored this question using a database of 126,438 stations across 77 nations.
doi.org/10.1016/j.jh...
In our latest study, "A reassessment of the history of the temporal resolution of rainfall data at the global scale", we explored this question using a database of 126,438 stations across 77 nations.
doi.org/10.1016/j.jh...