Abstract
The methods employed by Magaña et al. (2012; Clim Res 51:171-184) in their analysis of the effects of climate change in northern Mexico are flawed. Our present analysis confirms the results in Estrada et al. (2012; Clim Change 110:1029-1046), demonstrating that the downscaling method in Magaña et al. (2012) is unacceptable for producing regional climate change scenarios. The method generates random spatial patterns and magnitudes that replace the climate signals produced by general circulation models, as well as those contained in the observed local-scale data. Consequently, any application that uses these regional scenarios should not be used for decision-making. The statistical downscaling literature provides a range of methods that are appropriate for producing regional climate change scenarios.
| Original language | English |
|---|---|
| Pages (from-to) | 81-90 |
| Number of pages | 10 |
| Journal | Climate Research |
| Volume | 56 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- Mexico
- National climate change documents
- Regional climate change scenarios
- Statistical downscaling
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