Discussion of “Multivariate Drought Forecasting in Short- and Long-Term Horizons Using MSPI and Data-Driven Approaches” by Pouya Aghelpour, Ozgur Kisi, and Vahid Varshavian-Reference-Cited by-同舟云学术

Discussion of “Multivariate Drought Forecasting in Short- and Long-Term Horizons Using MSPI and Data-Driven Approaches” by Pouya Aghelpour, Ozgur Kisi, and Vahid Varshavian

Published:2022-11 Issue:11 Volume:27 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Ebtehaj Isa¹^ORCID,Bonakdari Hossein²^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Soils and Agri-Food Engineering, Université Laval, Québec, Canada G1V0A6. ORCID: .

2. Associate Professor, Dept. of Civil Engineering, Univ. of Ottawa, 161 Louis Pasteur Dr., Ottawa, Canada K1N 6N5 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0002216

Reference5 articles.

1. A new look at the statistical model identification

2. ANFIS-based model for predicting actual shear rate associated with wall slip phenomenon

3. Discussion of “Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran” by Afshin Ashrafzadeh, Ozgur Kişi, Pouya Aghelpour, Seyed Mostafa Biazar, and Mohammadreza Askarizad Masouleh

4. The group method of data handling in long-range forecasting

5. A reliable linear stochastic daily soil temperature forecast model

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