Teleconnections between oceanic–atmospheric indices and drought over Iran using quantile regressions

• Main Authors: Amini, Mohsen, Ghadami, Mohammad, Fathian, Farshad, Modarres, Reza
• Format: Text
• Language: unknown
• Published: Taylor & Francis 2020
• Subjects: 59999 Environmental Sciences not elsewhere classified; FOS Earth and related environmental sciences; Ecology; FOS Biological sciences; Science Policy; 69999 Biological Sciences not elsewhere classified; Inorganic Chemistry; FOS Chemical sciences; Soi; North Atlantic; North Atlantic oscillation
• Online Access: https://dx.doi.org/10.6084/m9.figshare.12854060.v1; https://tandf.figshare.com/articles/journal_contribution/Teleconnections_between_oceanic_atmospheric_indices_and_drought_over_Iran_using_quantile_regressions/12854060/1

In this research, the Bayesian quantile regression model is applied to investigate the teleconnections between large oceanic–atmospheric indices and drought standardized precipitation index (SPI) in Iran. The 12-month SPI time series from 138 synoptic stations for 1952–2014 were selected as the drou...