Precipitation forecasting by large-scale climate indices and machine learning techniques-Reference-Cited by-同舟云学术

Precipitation forecasting by large-scale climate indices and machine learning techniques

Published:2020-09 Issue:5 Volume:12 Page:854-864
ISSN:1674-6767
Container-title:Journal of Arid Land
language:en
Short-container-title:J. Arid Land

Author:

Gholami Rostam Mehdi,Sadatinejad Seyyed Javad,Malekian Arash

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Earth-Surface Processes,Water Science and Technology

Link

http://link.springer.com/content/pdf/10.1007/s40333-020-0097-3.pdf

Reference52 articles.

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4. Araghinejad S, Meidani E. 2013. A review of climate signals as predictors of long-term hydro-climatic variability. Climate Variability. doi: https://doi.org/10.5772/56790.

5. Arvin A. 2015. Relationship between El-Nino-southern oscillation (ENSO) and total ozone variations in Iran. Geography and Development Iranian Journal, 12: 165–180. (In Farsi)

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