Does Applying Subsampling in Quantile Mapping Affect the Climate Change Signal?
Bias in regional climate model (RCM) data makes bias correction (BC) a necessary pre-processing step in climate change impact studies. Among a variety of different BC methods, quantile mapping (QM) is a popular and powerful BC method. Studies have shown that QM may be vulnerable to reductions in cal...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2024-09-01
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| Series: | Hydrology |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2306-5338/11/9/143 |
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