Extending a joint probability modelling approach for post-processing ensemble precipitation forecasts from numerical weather prediction models-Reference-Cited by-同舟云学术

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Extending a joint probability modelling approach for post-processing ensemble precipitation forecasts from numerical weather prediction models

Published:2022-02 Issue: Volume:605 Page:127285
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Zhao Pengcheng,Wang Quan J.,Wu Wenyan,Yang Qichun

Funder

Bureau of Meteorology, Australian Government

Australian Research Council

University of Melbourne

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference78 articles.

1. Verification of intense precipitation forecasts from single models and ensemble prediction systems;Atger;Nonlinear Processes Geophys.,2001

2. Log-normal distribution based Ensemble Model Output Statistics models for probabilistic wind-speed forecasting;Baran;Q. J. R. Meteorolog. Soc.,2015

3. The challenge of forecasting high streamflows 1–3 months in advance with lagged climate indices in southeast Australia;Bennett;Nat. Hazards Earth Syst. Sci.,2014

4. From ensemble forecasts to predictive distribution functions;Brocker;Tellus Series a-Dyn. Meteorol. Oceanogr.,2008

5. Chapter 2 - Ensemble Forecasting and the Need for Calibration;Buizza,2018

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