Bivariate ensemble model output statistics approach for joint forecasting of wind speed and temperature
Author:
Funder
Magyar Tudományos Akadémia (HU)
DAAD
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/content/pdf/10.1007/s00703-016-0467-8.pdf
Reference48 articles.
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3. Baran S, Lerch S (2015) Log-normal distribution based EMOS models for probabilistic wind speed forecasting. Q J R Meteorol Soc 141:2289–2299
4. Baran S, Möller A (2015) Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging. Environmetrics 26:120–132
5. Baran S, Horányi A, Nemoda D (2013) Statistical post-processing of probabilistic wind speed forecasting in Hungary. Meteorol Z 22:273–282
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