An ensemble forecast of semi-arid rainfall using large-scale climate predictors-Reference-Cited by-同舟云学术

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An ensemble forecast of semi-arid rainfall using large-scale climate predictors

Published:2017-04-17 Issue:3 Volume:24 Page:376-386
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Met. Apps

Author:

Choubin B.¹,Malekian A.²,Samadi S.³,Khalighi-Sigaroodi S.²,Sajedi-Hosseini F.¹

Affiliation:

1. Department of Watershed Management Engineering; Sari University of Agricultural Sciences and Natural Resources; Iran

2. Department of Reclamation of Arid and Mountainous Regions; University of Tehran; Karaj Iran

3. Department of Civil and Environmental Engineering; University of South Carolina; Columbia SC USA

Publisher

Wiley

Subject

Atmospheric Science

Reference40 articles.

1. Annual precipitation forecast for west, southwest, and south provinces of Iran using artificial neural networks;Azadi;Theor. Appl. Climatol.,2012

2. Prediction of ENSO episodes using canonical correlation analysis;Barnston;J. Clim.,1992

3. A multisite seasonal ensemble streamflow forecasting technique;Bracken;Water Resour. Res.,2010

4. Heat-waves in Europe: areas of homogeneous variability and links with the regional to large-scale atmospheric and SSTs anomalies;Carril;Clim. Dyn.,2007

5. Drought forecasting in a semi-arid watershed using climate signals: a neuro-fuzzy modeling approach;Choubin;J. Mt. Sci.,2014

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