Uncertainty maps for model-based global climate classification systems
Abstract Climate classification systems (CCSs) are emerging as essential tools in climate change science for mitigation and adaptation. However, their limitations are often misunderstood by non-specialists. This situation is especially acute when the CCSs are derived from Global Climate Model output...
Saved in:
Main Authors: | Andrés Navarro, Andrés Merino, Eduardo García-Ortega, Francisco J. Tapiador |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-025-04387-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Climatic Trends in Hail Precipitation in France: Spatial, Altitudinal, and Temporal Variability
by: Lucía Hermida, et al.
Published: (2013-01-01) -
Precipitation Science: Observations, Retrievals, and Modeling
by: Francisco J. Tapiador, et al.
Published: (2015-01-01) -
Learning and elucidating the uncertainty in primary care by mapping uncertainty in medicine
by: Yuma Ohtsuka, et al.
Published: (2023-05-01) -
An integrated approach to uncertainty and global sensitivity analysis in penstock structural modeling
by: Manal Haddouch, et al.
Published: (2025-01-01) -
Modeling Uncertainty in Flood Forecasting Systems
by: Issac Elishakoff
Published: (2006-01-01)