EGU26-16419, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-16419
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Harnessing machine learning for quantifying and attributing compound heatwave changes in metropolis
- State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Hydrometeorological Disaster Mechanism and Warning of Ministry of Water Resources, Nanjing University of Information Science & Technology, Nanjing, China
How to cite: Ji, P.: Harnessing machine learning for quantifying and attributing compound heatwave changes in metropolis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16419, https://doi.org/10.5194/egusphere-egu26-16419, 2026.