The deep SPAR model shows concurrent floods and droughts becoming more likely in the Upper Danube by 2100 under high emissions, with changes in the dependence between catchments contributing substantially to the increase.
Future climate risk from compound events.Nature Climate Change, 8(6):469–477, June 2018
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
e112 is a context-aware mobile app with cloud backend that enables emergency SOS, reporting, customized alerts, and guidance, shown through usability studies to achieve high user satisfaction and robust performance.
citing papers explorer
-
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
The deep SPAR model shows concurrent floods and droughts becoming more likely in the Upper Danube by 2100 under high emissions, with changes in the dependence between catchments contributing substantially to the increase.
-
e112: A Context-Aware Mobile Emergency Communication Platform Leveraging Smartphone Sensing and Cloud Services
e112 is a context-aware mobile app with cloud backend that enables emergency SOS, reporting, customized alerts, and guidance, shown through usability studies to achieve high user satisfaction and robust performance.