Evidence for Non‐Stationarity in the GEV Shape Parameter When Modeling Extreme Rainfall
Abstract It is now well established that climate change is increasing the intensity of extreme rainfall. What is less well established is how best to model these changes. Most literature considers non‐stationarity in extreme rainfall using a Generalized Extreme Value (GEV) model with either the loca...
Saved in:
| Main Authors: | Lalani Jayaweera, Conrad Wasko, Rory Nathan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-05-01
|
| Series: | Water Resources Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2023WR036426 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Convection‐Permitting Climate Models Can Support Observations to Generate Rainfall Return Levels
by: B. Poschlod, et al.
Published: (2024-04-01) -
A Machine Learning Tool for Determining the Required Sample Size for GEV Fitting in Climate Applications
by: R. J. Matear, et al.
Published: (2025-03-01) -
Analysis of rainfall variability and extreme events in South-Western Nigeria: implications for water resource management and climate resilience
by: Ayoola Emmanuel Awode, et al.
Published: (2025-05-01) -
Impact of Urbanization Process on Extreme Precipitation Events Based on Non-Stationary GEV Model
by: WU Haoran, et al.
Published: (2025-01-01) -
On the emergence of rainfall extremes from ordinary events
by: E. Zorzetto, et al.
Published: (2016-08-01)