Analyzing uncertainty drivers of climate change impact studies in tropical and arid climates
Uncertainty in climate change impact studies can be identified in general circulation models (GCM), emission scenarios, downscaling techniques, hydrological models and data. Despite being aleatory or epistemic -sourced uncertainties, their effect size on impact model output can be variable in differ...
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| Main Authors: | , |
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| Format: | Article |
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Springer Verlag
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/36692/ |
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