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Configuration and intercomparison of deep learning neural models for statistical downscaling

, , and . Geoscientific Model Development, 13 (4): 2109--2124 (2020)

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Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions., and . CoRR, (2023)Understanding Deep Learning Decisions in Statistical Downscaling Models.. CI, page 79-85. ACM, (2020)Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches., , and . CoRR, (2023)On the use of Deep Generative Models for Perfect Prognosis Climate Downscaling., , and . CoRR, (2023)Configuration and intercomparison of deep learning neural models for statistical downscaling, , and . Geoscientific Model Development, 13 (4): 2109--2124 (2020)Configuration and intercomparison of deep learning neural models for statistical downscaling, , , and . (2020)Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications., , , and . CoRR, (2023)The R-based climate4R open framework for reproducible climate data access and post-processing., , , , , , , , , and 1 other author(s). Environ. Model. Softw., (2019)Deep Neural Networks for Statistical Downscalingof Climate Change Projections, , and . Conferencia de la Asociacion Espanola para la Inteligencia Artificial, (2018)