Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods

Research article (International Journal of Climatology, 2020) · cited 113× · AI/ML
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Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods

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Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods is a scholarly article[1].

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  • Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/statistical-downscaling-of-daily-temperature-and-precipitation-over-china-using-deep-learning-neural-models-localization
MLA “Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/statistical-downscaling-of-daily-temperature-and-precipitation-over-china-using-deep-learning-neural-models-localization.
BibTeX @misc{4ortxyz_statistical-downscaling-of-daily-temperature-and-precipitation-over-china-using-deep-learning-neural-models-localization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods}}, year = {2026}, url = {https://4ort.xyz/entity/statistical-downscaling-of-daily-temperature-and-precipitation-over-china-using-deep-learning-neural-models-localization}, note = {Accessed: 2026-05-24}}
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