An evaluation of decadal probability forecasts from state-of-the-art climate models
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Cited by:
- Beven, Keith, 2015. "What we see now: Event-persistence and the predictability of hydro-eco-geomorphological systems," Ecological Modelling, Elsevier, vol. 298(C), pages 4-15.
- Leonard Smith & Emma Suckling & Erica Thompson & Trevor Maynard & Hailiang Du, 2015. "Towards improving the framework for probabilistic forecast evaluation," Climatic Change, Springer, vol. 132(1), pages 31-45, September.
- Joel Katzav & Wendy Parker, 2015. "The future of climate modeling," Climatic Change, Springer, vol. 132(4), pages 475-487, October.
- Bett, Philip E & Thornton, Hazel E. & Troccoli, Alberto & De Felice, Matteo & Suckling, Emma & Dubus, Laurent & Saint-Drenan, Yves-Marie & Brayshaw, David J., 2019. "A simplified seasonal forecasting strategy, applied to wind and solar power in Europe," Earth Arxiv kzwqx, Center for Open Science.
- Graziani, Carlo & Rosner, Robert & Adams, Jennifer M. & Machete, Reason L., 2021. "Probabilistic recalibration of forecasts," International Journal of Forecasting, Elsevier, vol. 37(1), pages 1-27.
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Keywords
ensembles; forecast verification/skill; hindcasts; probability forecasts/models/distribution; statistical forecasting; time series;All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
Statistics
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