Abbot J and Marohasy J, 2014. Input selection and optimization for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks. Atmospheric Research 138: 166-178.
https://doi.org/10.1016/j.atmosres.2013.11.002.
Ahmadi Shali, Jafar and Wasfi, Mehdi (2016). Liquidity forecasting based on the point and interval criteria of Arima method and its comparison with the dual representation smoothing method, Financial Economy (Financial Economics and Development), 11 (40), 159-175.
https://civilica.com/doc/1570242 [in persian]
Al Balasmeh, O., Babbar, R., & Karmaker, T. (2019). Trend analysis and ARIMA modeling for forecasting precipitation pattern in Wadi Shueib catchment area in Jordan. Arab J Geosci, 12(27),1-19. DOI:
10.1007/s12517-018-4205-z.
Al Sayah, M.J., Abdallah, C., Khouri, M.,
Nedjai, R., &
Darwich,T. (2021). A framework for climate change assessment in Mediterranean data-sparse watersheds using remote sensing and ARIMA modeling. Theor Appl Climatol, 143, 639–658. DOI:
10.1007/s00704-020-03442-7
Borland, P., & Montana, A. (1996). Forecasting of storm rain full by combined use of rider, rain gages and linear models. Atmospheric research, 42(1),199-216. Doi: 10.1016/0169-8095(95)00063-1.
Brockwell P. J., Davis, R. A. (2009). Time series: theory and methods, Springer, 44-79. https://d-nb.info/949251941/04.
Ghafurian, Hadi; Sanainejad, Sayyed Hossein and Jabari Nougabi, Mehdi (2019). Evaluation of time series models in forecasting seasonal precipitation based on remote sensing data (case study: arid and semi-arid climates), Journal of Climatology Research, 11 (42), 77-94. https://clima.irimo.ir/article_125162. [in persian]
Imani, Rasoul; Qazawi, Reza and Esmaili Avari, Abazar (1400). The process of investigation, analysis, modeling and prediction of monthly rainfall using stochastic time series models (case study: Ardabil synoptic station), Geographical Studies of Dry Areas, No. 11(44), 84-98. https://civilica.com/doc/1405291. [in persian]
jadi, N., Ajadi, J., Damisa, S., Asiribo, O., & Dawodu, A. (2017). Modeling Monthly Average Temperature of Dhahran City of Saudi-Arabia Using Arima Models. International Journal of Data Science and Analysis, 3(5), 40-45. DOI:
10.11648/j.ijdsa.20170305.12.
Khodaparast Shirazi, Jalil and Sadeghi, Zahra (2013). Modeling and natural forecasting of marine aquatics in Iran using ARIMA and artificial neural networks, Quarterly of Quantitative Economics, 9(4), 111-132. magiran.com/p1629509. [in persian]
Marouphi, Safar; Khatar, Behnaz; Sadeghifar, Majid; Parsafar, Nasr-od-din and Ildurmi, Alireza (2013). Drought prediction using SARIMA time series and SPI index in the central region of Hamedan province. Water Research in Agriculture (Soil and Water Sciences), 28(1), 225-213. SID. https://sid.ir/paper/487191/fa. [in persian]
Mishra, A. K., & Desai, V. R. (2005). Drought forecasting using stochastic models. Int. J. Climat, 19(16), 585 – 599. DOI:
10.1007/s00477-005-0238-4.
Narayanan, P., Basistha, A., Sarkar,S., & Sachdeva,K.(2013). Trend analysis and ARIMA modelling of pre-monsoon rainfall data for western India. Comptes Rendus Geoscience,
345(1), 22-27.
https://doi.org/10.1016/j.crte.2012.12.001.
Nyatuame, M., Agodzo, S. K. (2018). Stochastic ARIMA model for annual rainfall and maximum temperature forecasting over Tordzie watershed in Ghana. J. Water Land Develop, 37(1), 127–140. DOI:
10.2478/jwld-2018-0032.
Papalaskaris, T., Panagiotidis, T., & Pantrakis, A. (2016). Stochastic monthly rainfall time series analysis modeling and forecasting in Kavala sity, Greece, north-eastern mediterranean basin. Procedia Engineering, 162, 254-263. DOI:
10.1016/j.proeng.2016.11.054.
Pourkarim Barabadi, Roya and Heydari Monfared, Zahra (2018). Evaluation of time series models for forecasting the average temperature in the southern part of Iran, Climate Change and Hazards, 1(2), 164-189. https://cccd.znu.ac.ir/article_44668. [in persian]
Rahimi, Dariush and Ghayor, Hassan Ali (2009). Discharge analysis of Karun River with Box-Cox transformation and time series, Geographical Research, 25(4), 151-135. https://sid.ir/paper/29726/fa [in persian]
saligheh, Mohammad; Asakere, Hossein; Naserzadeh, Mohammad Hossein and Belyani, Yadullah (2014). Analyzing trends and cycles of annual time series of Helleh and Mand watersheds, Applied Research of Geographical Sciences, 15(37), 272-245.
http://jgs.khu.ac.ir/article-1-2428-fa.[in persian]
Soltani Gardframarzi, Somaiyeh. Saberi, Aref and Qaisuri, Morteza (2016). The best time series model in forecasting the annual rainfall of selected stations of West Azarbaijan Province, Applied Research Journal of Geographical Sciences, 17(44), 105-87. https://sid.ir/paper/364559/fa. [in persian]
Tektaş, M. (2010). Weather Forecasting Using ANFIS and ARIMA MODELS: Case study for İstanbul.
Environmental Research Engineering and Management, 1(51), 5-10. DOI:
10.5755/j01.erem.51.1.58.
Younesi, Hojatul-lah; Torabi Podeh, Hassan; Arshiya, Azadeh and Mirzapour, Hafez (2017). Simulation of average monthly flow of Badavar-Noorabad River using time series models, 6th Scientific Research Conference on Soil Resources Management, Kerman. https://civilica.com/doc/869538.[in persian]
