Substantial increases in future precipitation extremes—insights from a large ensemble of downscaled CMIP6 models
Abstract We investigated projected changes to daily mean, common extreme (99th and 99.7th percentile), and rare extreme (annual exceedance probability (AEP) 1 in 10, 50, and 100) precipitation events across Australia and its greater capital cities using a large ensemble of downscaled CORDEX-CMIP6 si...
Saved in:
| Main Authors: | Rohan Eccles, Jozef Syktus, Ralph Trancoso, Sarah Chapman, Conrad Wasko, Jason P. Evans, Marcus Thatcher, Giovanni Di Virgilio, Christian Stassen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | npj Natural Hazards |
| Online Access: | https://doi.org/10.1038/s44304-025-00107-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Projected changes in mean climate and extremes from downscaled high-resolution CMIP6 simulations in Australia
by: Sarah Chapman, et al.
Published: (2024-12-01) -
Limitation of super-resolution machine learning approach to precipitation downscaling
by: P. Jyoteeshkumar Reddy, et al.
Published: (2025-08-01) -
Evaluation and Projection of Precipitation and Precipitation Extremes in the Source Region of the Yangtze and Yellow Rivers Based on CMIP6 Model Optimization and Statistical Downscaling
by: Rouke Li, et al.
Published: (2025-06-01) -
Artificial intelligence-driven precipitation downscaling and projections over Thailand using CMIP6 climate models
by: Muhammad Waqas, et al.
Published: (2025-08-01) -
Assessment of Climate Change Impacts on Extreme Precipitation Events: Applications of CMIP5 Climate Projections Statistically Downscaled over South Korea
by: Jang Hyun Sung, et al.
Published: (2018-01-01)