Short-Term Forecasting of Non-Stationary Time Series
Author:
Affiliation:
1. Faculty of Engineering, Free University of Bozen-Bolzano, 39100 Bolzano, Italy
2. Institute for Earth Observation, Eurac Research, 39100 Bolzano, Italy
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/68/1/34/pdf
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4. Status and prospects for drought forecasting: Opportunities in artificial intelligence and hybrid physical–statistical forecasting;AghaKouchak;Philos. Trans. R. Soc. A.,2022
5. An overview of CMIP5 and CMIP6 simulated cloud ice, radiation fields, surface wind stress, sea surface temperatures, and precipitation over tropical and subtropical oceans;Li;J. Geophys. Res. Atmos.,2020
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