Review on Statistical Post-processing of Ensemble Forecasts
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3557-4_35
Reference32 articles.
1. Abaza M, Anctil F, Fortin V, Turcotte R (2014) Sequential streamflow assimilation for short-term hydrological ensemble forecasting. J Hydrol 519:2692–2706. https://doi.org/10.1016/j.jhydrol.2014.08.038
2. Bentzien S, Friederichs P (2012) Generating and calibrating probabilistic quantitative precipitation forecasts from the high-resolution NWP Model COSMO-DE. Weather Forecast 27(4):988–1002. https://doi.org/10.1175/WAF-D-11-00101.1
3. Bremnes JB (2004) Probabilistic forecasts of precipitation in terms of quantiles using NWP model output. Mon Weather Rev Am Meteorol Soc 132(1):338–347. https://doi.org/10.1175/1520-0493(2004)132%3c0338:pfopit%3e2.0.co;2
4. Buizza R (2018) Ensemble forecasting and the need for calibration. In: Statistical postprocessing of ensemble forecasts. Elsevier Inc. https://doi.org/10.1016/b978-0-12-812372-0.00002-9
5. Cloke HL, Schaake JC (2018) Handbook of hydrometeorological ensemble forecasting. https://doi.org/10.1007/978-3-642-40457-3
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