Abdullah Nejad, K. (2015). Time series models for prediction of monthly precipitationl (Case study: Hashem Abad Station of Gorgan). Geospatial Space, 17: 15-25. (in Farsi)
Ahmadi, F. (2004). Estimation of annual precipitation of Khorasan province using time series. Master's thesis. 284 pages. (in Farsi)
Bashari, M. & Vafakhah, M. (2010). Comparison of different methods of time series analysis in predicting discharge of Karkhkh watershed. Irrigation and water engineering, 2: 65-77.
Box, G. E., Jenkins, G. M., Reinsel, G. C., & Ljung, G. M. (2015). Time series analysis: forecasting and control. John Wiley & Sons.Dodange, I., Abedi Kupai, J. and Gohari, A. (2011). Application of time series models to determine the process of future climate parameters in the direction of water resources management. Agricultural Sciences and Technology of Agriculture and Natural Resources, 59: 59-74.
Ghaderpour, E., Pagiatakis, S. D., and Hassan, Q. K. (2021). A survey on change detection and time series analysis with applications. Applied Sciences
(13), 6141. https://doi.org/10.3390/app11136141
Ghahraman, N. & Gharehkhani, A. (2011). Estimation of random time patterns of time series in estimating evaporation from a bath (Case study: Shiraz Station). Water Research in Agriculture, 1: 32-81. (in Farsi)
Ghane Ezabadi, N., Azhdar, S., & Jamali, A. A. (2021). Analysis of dust changes using satellite images in Giovanni NASA and Sentinel in Google Earth Engine in western Iran. Journal of Nature and Spatial Sciences (JONASS)
(1), 17-26. https://dx.doi.org/10.30495/jonass.2021.680327
Jamali, A. A., Kalkhajeh, R. G., Randhir, T. O., & He, S. (2022). Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni. Journal of Environmental Management
, 113970. https://doi.org/10.1016/j.jenvman.2021.113970
Jamali, A. A., Naeeni, M. A. M., & Zarei, G. (2020). Assessing the expansion of saline lands through vegetation and wetland loss using remote sensing and GIS. Remote Sensing Applications: Society and Environment
, 100428. https://doi.org/10.1016/j.rsase.2020.100428
Jamali, A. A., Tabatabaee, R., & Randhir, T. O. (2021). Ecotourism and socioeconomic strategies for Khansar River watershed of Iran. Environment, Development and Sustainability
(11), 17077-17093. https://doi.org/10.1007/s10668-021-01334-y
Kendall, M.G. (1975). Rank Correlation Methods, London, Charles Griffin.
Khalili, A. S., & Bazrafshan, C. (2004). An analysis of the changes in annual, seasonal, and monthly rainings in five Iranian old stations in the past one seventeen and sixteen years. Desert, 9(1), 25-25.Khazaei, M., & Mirzaei. M.R. (2014). Forecasting of climate variables by analyzing time series of Zohreh Watershed. Applied Geosciences Research, 34: 233-250. (in Farsi)
Khorrami, M., & Bozorgnia, A. (2017). Time series analysis with Minitab software Sokhan gostar press, 336 pages. (in Farsi)
Mishra, S., Swain, D. K., Mishra, D., & Santra, G. H. (2021). Time Series Analysis of Rainfall for Puri District of Odisha Using ARIMA Modelling. In Intelligent and Cloud Computing
(pp. 419-426). Springer, Singapore. https://doi.org/10.1007/978-981-15-6202-0_43
Momani, P. E. N. M., & Naill, P. E. (2009). Time series analysis model for rainfall data in Jordan: Case study for using time series analysis. American Journal of Environmental Sciences
(5), 599.. https://doi.org/10.3844/ajessp.2009.599.604
Niromand, H.A. (2012). Analysis of time series: one-dimensional and multivariate methods. Mashhad, Ferdowsi University Press, 602 pages. (in Farsi)
Ouma, Y. O., Cheruyot, R., & Wachera, A. N. (2022). Rainfall and runoff time-series trend analysis using LSTM recurrent neural network and wavelet neural network with satellite-based meteorological data: case study of Nzoia hydrologic basin. Complex & Intelligent Systems
(1), 213-236. https://doi.org/10.1007/s40747-021-00365-2
Pasquini, A. I., Lecomte, K. L., Piovano, E. L., & Depetris, P. J. (2006). Recent rainfall and runoff variability in central Argentina. Quaternary International
(1), 127-139. https://doi.org/10.1016/j.quaint.2006.05.021
Rhif, M., Ben Abbes, A., Farah, I. R., Martínez, B., & Sang, Y. (2019). Wavelet transform application for/in non-stationary time-series analysis: a review. Applied Sciences
(7), 1345. https://doi.org/10.3390/app9071345
Salas, (1996). Applied Time Series in Hydrology, Mc Grew Hill.
Shahid, S. (2010). Rainfall variability and the trends of wet and dry periods in Bangladesh. International Journal of climatology
(15), 2299-2313. https://doi.org/10.1002/joc.2053
Soltani Gordfaramarzi, S., Saberi, A. and Qeysouri, M. (2017). Determine the best time series model for predicting annual precipitation of selected stations in West Azarbaijan province. Applied Geosciences Research, 44: 105-87. (in Farsi)
Veisipour, H., Masoumpour, J., Sahne B. and Yousefi, Y. (2010). The prediction of precipitation and temperature trend using time series models (ARIMA). Geosciences Research, 12: 77-69.
Wang, D., Shannon, M. C., Grieve, C. M., & Yates, S. R. (2000). Soil water and temperature regimes in drip and sprinkler irrigation, and implications to soybean emergence. Agricultural Water Management
(1), 15-28. https://doi.org/10.1016/S0378-3774(99)00057-8