Abdelkareem, M., & Mansour, A. M. (2023). Risk assessment and management of vulnerable areas to flash flood hazards in arid regions using remote sensing and GIS-based knowledge-driven techniques.
Natural Hazards,
117(3), 2269-2295.
https://doi.org/10.1007/s11069-023-05942-x
Aghelpour, P., Bahrami-Pichaghchi, H., & Varshavian, V. (2021). Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran.
Stochastic Environmental Research and Risk Assessment,
35(8), 1615-1635.
https://doi.org/10.1007/s00477-020-01949-z
Ahmadi, F., Nazeri Tahroudi, M., Mirabbasi, R., & Kumar, R. (2022). Spatiotemporal analysis of precipitation and temperature concentration using PCI and TCI: a case study of Khuzestan Province, Iran.
Theoretical and Applied Climatology,
149(1), 743-760.
https://doi.org/10.1007/s00704-022-04077-6
Ahmadi, F., Nazeri Tahroudi, M., Mirabbasi, R., Khalili, K., & Jhajharia, D. (2018). Spatiotemporal trend and abrupt change analysis of temperature in Iran.
Meteorological Applications, 25(2): 314-321.
https://doi.org/10.1002/met.1694
Ali, R., Kuriqi, A., Abubaker, S., & Kisi, O. (2019). Long-term trends and seasonality detection of the observed flow in Yangtze River using Mann-Kendall and Sen’s innovative trend method.
Water,
11(9), 1855.
https://doi.org/10.3390/w11091855
Araya-Osses, D., Casanueva, A., Román-Figueroa, C., Uribe, J. M., & Paneque, M. (2020). Climate change projections of temperature and precipitation in Chile based on statistical downscaling.
Climate Dynamics,
54(9), 4309-4330.
https://doi.org/10.1007/s00382-020-05231-4
Ashraf Vaghefi, S., Mousavi, S. J., Abbaspour, K. C., Srinivasan, R., & Yang, H. (2014). Analyses of the impact of climate change on water resources components, drought and wheat yield in semiarid regions: Karkheh River Basin in Iran.
hydrological processes,
28(4), 2018-2032.
https://doi.org/10.1002/hyp.9747
Ashraf, M. S., Ahmad, I., Khan, N. M., Zhang, F., Bilal, A., & Guo, J. (2021). Streamflow variations in monthly, seasonal, annual and extreme values using Mann-Kendall, Spearmen’s Rho and innovative trend analysis.
Water Resources Management,
35(1), 243-261.
https://doi.org/10.1007/s11269-020-02723-0
Azarakhshi, M., & Farzadmehr, J. (2022). Assessment the relation of meteorological and hydrological drought in Khorasan Razavi province.
Journal of Range and Watershed Managment,
74(4), 689-702.
https://doi.org/10.22059/jrwm.2022.333753.1620
Box, J. E., Colgan, W. T., Christensen, T. R., Schmidt, N. M., Lund, M., Parmentier, F. J. W., Brown, Ross D.., Bhatt, U.., Euskirchen, E.., Romanovsky, V.., Walsh, J.., Overland, J.., Wang, Muyin., Corell, R.., Meier, W.., Wouters, B.., Mernild, S.., Mård, J.., Pawlak, J.., Olsen, M. S. (2019). Key indicators of Arctic climate change: 1971–2017.
Environmental Research Letters,
14(4), 045010.
https://doi.org/10.1088/1748-9326
Dissanayaka, K. D. C. R., & Rajapakse, R. L. H. L. (2019). Long-term precipitation trends and climate extremes in the Kelani River basin, Sri Lanka, and their impact on streamflow variability under climate change.
Paddy and Water Environment,
17(2), 281-289.
https://doi.org/10.1007/s10333-019-00721-6
Donat, M. G., Alexander, L. V., Herold, N., & Dittus, A. J. (2016). Temperature and precipitation extremes in century‐long gridded observations, reanalyses, and atmospheric model simulations.
Journal of Geophysical Research: Atmospheres,
121(19), 11-174.
https://doi.org/10.1002/2016JD025480
Feng, S., & Hu, Q. (2007). Changes in winter snowfall/precipitation ratio in the contiguous United States.
Journal of Geophysical Research: Atmospheres,
112(D15).
https://doi.org/10.1029/2007JD008397
IPCC. (2021). Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
https://cir.nii.ac.jp/crid/1371413280484207233
Khalili, K., Tahoudi, M. N., Mirabbasi, R., & Ahmadi, F. (2016). Investigation of spatial and temporal variability of precipitation in Iran over the last half century.
Stochastic Environmental Research and Risk Assessment, 30(4): 1205-1221.
https://doi.org/10.1007/s00477-015-1095-4
Khozeymehnezhad, H., Beyranvand, Z., & Nazeri Tahroudi, M. (2025). Monitoring and analysis of hydrological drought based on the SWSI and satellite maps (case study: Khorramabad Basin, Lorestan, Iran).
Acta Geophysica, 1-15.
https://doi.org/10.1007/s11600-025-01619-0
Kumar, S., Merwade, V., Kam, J., & Thurner, K. (2009). Streamflow trends in Indiana: effects of long term persistence, precipitation and subsurface drains.
Journal of Hydrology, 374(1-2): 171-183.
https://doi.org/10.1016/j.jhydrol.2009.06.012
Mann, H.B. (1945). Nonparametric tests against trend. Econometrica: Journal of the Econometric Society. 245-259.
Mekuria, E. T., Demissie, T. A., & Feyessa, F. F. (2025). Investigation of the spatial and temporal long-term hydro-climatic trends in Upper Omo Gibe Basin, Ethiopia.
Heliyon,
11(3).
https://doi.org/10.1016/j.heliyon.2025.e42265
Minaei, M., & Irannezhad, M. (2018). Spatio-temporal trend analysis of precipitation, temperature, and river discharge in the northeast of Iran in recent decades.
Theoretical and applied climatology,
131(1), 167-179.
https://doi.org/10.1007/s00704-016-1963-y
Modabber-Azizi, S., Salarijazi, M., & Ghorbani, K. (2023). A novel approach to recognize the long-term spatial-temporal pattern of dry and wet years over Iran.
Physics and Chemistry of the Earth, Parts A/B/C,
131, 103426.
https://doi.org/10.1016/j.pce.2024.103561
Mohammadi, M., Salarijazi, M., Ghorbani, K., & Dehghani, A. A. (2024). More reliable determination of daily evaporation from the pan in cold regions by limited meteorological factors.
Applied Water Science,
14(3), 52.
https://doi.org/10.1007/s13201-024-02100-x
Nazeri Tahroudi, M. (2025). Comprehensive global assessment of precipitation trend and pattern variability considering their distribution dynamics.
Scientific Reports,
15(1), 22458.
https://doi.org/10.1038/s41598-025-06050-5
Nazeri Tahroudi, M., Mirabbasi, R., Ramezani, Y., & Ahmadi, F. (2022). Probabilistic assessment of monthly river discharge using copula and OSVR approaches.
Water Resources Management,
36(6), 2027-2043.
https://doi.org/10.1007/s11269-022-03125-0
Parchami, N., Mostafazadeh, R., Esmali Ouri, A., & Imani, R. (2023). Spatial variations of hydrological drought in different time scales in rivers of Ardabil province.
Journal of Hydrogeomorphology,
9(33), 36-21.
https://doi.org/10.22034/hyd.2022.51550.1637
Sa’adi, Z., Yusop, Z., & Alias, N. E. (2023). Long-term homogeneity and trend analysis of seasonality and extreme rainfall under the influence of climate change in Johor River basin, Malaysia.
Natural Hazards,
117(2), 1813-1845.
https://doi.org/10.1007/s11069-023-05930-1
Salarijazi, M., Ghorbani, K., Mohammadi, M., Ahmadianfar, I., Mohammadrezapour, O., Naser, M. H., & Yaseen, Z. M. (2023). Spatial-temporal estimation of maximum temperature high returns periods for annual time series considering stationary/nonstationary approaches in Iran urban area.
Urban Climate,
49, 101504.
https://doi.org/10.1016/j.uclim.2023.101504
Shirvani, A., Arpe, K., & Jahandideh, M. (2020). Analysis of trends and change points in meteorological variables over the south of the Caspian Sea: A. Shirvani et al.
Theoretical and Applied Climatology,
141(3), 959-966.
https://doi.org/10.1007/s00704-020-03233-0
Smirnov, N. (1948). Table for estimating the goodness of fit of empirical distributions. The annals of mathematical statistics, 19(2): 279-281.
Soltani, M., Laux, P., Kunstmann, H., Stan, K., Sohrabi, M. M., Molanejad, M., ... & Martin, M. V. (2016). Assessment of climate variations in temperature and precipitation extreme events over Iran.
Theoretical and Applied Climatology,
126(3), 775-795.
https://doi.org/10.1007/s00704-015-1609-5
Tahroudi, M. N., Ahmadi, F., Ramezani, Y., Pourreza-Bilondi, M., & Mirabbasi, R. (2023). Investigating the Relationship between the Temporal Distribution of Precipitation and Flow Shortness Volume over Lake Urmia Basin, Iran. In
Integrated Drought Management, Volume 1 (pp. 151-168). CRC Press.
https://doi.org/10.1201/9781003276555-7
Tahroudi, M. N., Siuki, A. K., & Ramezani, Y. (2019). Redesigning and monitoring groundwater quality and quantity networks by using the entropy theory.
Environmental monitoring and assessment, 191(4): 250-261.
https://doi.org/10.1007/s10661-019-7370-y
Theil, H. (1950). A rank-invariant method of linear and polynomial regression analysis. Indagationes mathematicae, 12(85), 173.
Toride, K., Cawthorne, D. L., Ishida, K., Kavvas, M. L., & Anderson, M. L. (2018). Long-term trend analysis on total and extreme precipitation over Shasta Dam watershed.
Science of the Total Environment,
626, 244-254.
https://doi.org/10.1016/j.scitotenv.2018.01.004
Vani, P. C., Sahoo, B. C., Paul, J. C., Sahu, A. P., & Mohapatra, A. K. B. (2023). Trend analysis in gridded rainfall data using Mann-Kendall and Spearman’s Rho tests in Kesinga Catchment of Mahanadi River Basin, India.
Pure and Applied Geophysics,
180(12), 4339-4353.
https://doi.org/10.1007/s00024-023-03379-8
Zhang, X., Alexander, L., Hegerl, G. C., Jones, P., Tank, A. K., Peterson, T. C., ... & Zwiers, F. W. (2011). Indices for monitoring changes in extremes based on daily temperature and precipitation data.
Wiley Interdisciplinary Reviews: Climate Change,
2(6), 851-870.
https://doi.org/10.1002/wcc.147