Probabilistic post-processing of short to medium range temperature forecasts: Implications for heatwave prediction in India
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10661-024-12418-3.pdf
Reference86 articles.
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3. Bröcker, J., & Smith, L. A. (2008). From ensemble forecasts to predictive distribution functions. Tellus A, 60(4), 663–678. https://doi.org/10.1111/j.1600-0870.2008.00333.x
4. Chen, D., & Chen, H. W. (2013). Using the Köppen classification to quantify climate variation and change: An example for 1901–2010. Environmental Development, 6, 69–79. https://doi.org/10.1016/j.envdev.2013.03.007
5. Cho, D., Yoo, C., Son, B., Im, J., Yoon, D., & Cha, D.-H. (2022). A novel ensemble learning for post-processing of NWP model’s next-day maximum air temperature forecast in summer using deep learning and statistical approaches. Weather and Climate Extremes, 35, 100410. https://doi.org/10.1016/j.wace.2022.100410
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