Statistical post‐processing of ensemble forecasts of temperature in Santiago de Chile-Reference-Cited by-同舟云学术

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Statistical post‐processing of ensemble forecasts of temperature in Santiago de Chile

Published:2019-07-17 Issue:1 Volume:27 Page:
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Meteorol Appl

Author:

Díaz Mailiu¹,Nicolis Orietta¹²,Marín Julio César³⁴,Baran Sándor⁵^ORCID

Affiliation:

1. Department of StatisticsUniversity of Valparaíso Valparaíso Chile

2. Department of Engineering ScienceFaculty of EngineeringAndres Bello University Viña del Mar Chile

3. Department of MeteorologyUniversity of Valparaíso Valparaíso Chile

4. Interdisciplinary Center for Atmospheric and Astro‐statistical Studies (CEAAS)University of Valparaíso Valparaíso Chile

5. Department of Applied Mathematics and Probability Theory, Faculty of InformaticsUniversity of Debrecen Debrecen Hungary

Funder

Comisión Nacional de Investigación Científica y Tecnológica

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/met.1818

Reference54 articles.

1. Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components

2. Probabilistic temperature forecasting with statistical calibration in Hungary

3. Log‐normal distribution based Ensemble Model Output Statistics models for probabilistic wind‐speed forecasting

4. Combining predictive distributions for the statistical post-processing of ensemble forecasts

5. Censored and shifted gamma distribution based EMOS model for probabilistic quantitative precipitation forecasting

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Models for Weather Prediction: Using Remote Sensing Data to Improve Forecast Accuracy;Lecture Notes in Networks and Systems;2024

2. Space-Time Prediction of PM2.5 Concentrations in Santiago de Chile Using LSTM Networks;Applied Sciences;2022-11-08

3. Using the Residual Network Module to Correct the Sub-Seasonal High Temperature Forecast;Frontiers in Earth Science;2022-01-12

4. Post-processing methods for calibrating the wind speed forecasts in central regions of Chile;Annales Mathematicae et Informaticae;2021

5. Comparison of the BMA and EMOS statistical methods for probabilistic quantitative precipitation forecasting;Meteorological Applications;2021-01

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