Spatial and temporal dependence in distribution‐based evaluation of CMIP6 daily maximum temperatures
Abstract Climate models are increasingly used to derive localised, specific information to guide adaptation to climate change. Model projections of future scenarios are conferred credibility by evaluating model skill in reproducing large‐scale properties of the observed climate system. Model evaluat...
Saved in:
| Main Authors: | Mala Virdee, Ieva Kazlauskaite, Emma J. D. Boland, Emily Shuckburgh, Alison Ming |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-02-01
|
| Series: | Atmospheric Science Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/asl.1290 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigating Catchment‐Scale Daily Snow Depths of CMIP6 in Canada
by: Hebatallah Mohamed Abdelmoaty, et al.
Published: (2024-06-01) -
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) -
Assessment of extreme climate stress across China’s maize harvest region in CMIP6 simulations
by: Xinmin Chen, et al.
Published: (2024-12-01) -
Changing spatiotemporal dependence of the precipitation-temperature during Indian Summer Monsoon using observational and CMIP6 model simulations
by: Anjali Chaudhary, et al.
Published: (2025-02-01) -
Evaluation of CMIP6 models in simulating seasonal extreme precipitation over Ethiopia
by: Daniel Berhanu, et al.
Published: (2025-03-01)