1. Get persistent links for your reference list or bibliography.
Copy and paste the list, we’ll match with our metadata and return the links.
Members may also deposit reference lists here too.
29. Alizadeh-Choobari, O.; and M.S. Najafi. 2018. Extreme weather events in Iran under a changing climate. Climate dynamics, 50(1), 249-260. [
DOI:10.1007/s00382-017-3602-4]
2. Bahrami, M.; S, Bazrkar, and A.R. Zarei. 2021. Spatiotemporal investigation of drought pattern in Iran via statistical analysis and GIS technique. Theoretical and Applied Climatology, 143, 1113-1128. [
DOI:10.1007/s00704-020-03480-1]
3. Daneshmand, H.; and P. Mahmoudi. 2017. Estimation and assessment of temporal stability of periodicities of droughts in Iran. Water Resources Management, 31, .3413-3426. [
DOI:10.1007/s11269-017-1676-8]
4. Darand, M.; and F. Pazhoh. 2022. Spatiotemporal changes in precipitation concentration over Iran during 1962-2019. Climatic Change, 173(3), 25. [
DOI:10.1007/s10584-022-03421-z]
5. Diaz, V.; G.A. Corzo Perez, H.A. Van Lanen, and D. Solomatine. 2018, September. Intelligent drought tracking for its use in Machine Learning: implementation and first results. In HIC (Vol. 3, 601-606). DOI: 10.29007/klgg. [
DOI:10.29007/klgg]
6. Diaz, V.; G. Corzo, H.A. Van Lanen, and D.P Solomatine. 2019. Spatiotemporal drought analysis at country scale through the application of the STAND toolbox. In Spatiotemporal Analysis of Extreme Hydrological Events (77-93). Elsevier. [
DOI:10.1016/B978-0-12-811689-0.00004-5]
7. Emadodin, I.; T. Reinsch, and F. Taube, 2019. Drought and desertification in Iran. Hydrology, 6(3), 66. [
DOI:10.3390/hydrology6030066]
8. Fallah Ghalhari, G.A.; A.A. Dadashi Roudbari, and M. Asadi. 2016. Identifying the spatial and temporal distribution characteristics of precipitation in Iran. Arabian Journal of Geosciences, 9, 1-12. [
DOI:10.1007/s12517-016-2606-4]
9. Galton, F.; 1886. Regression towards mediocrity in hereditary stature. The Journal of the Anthropological Institute of Great Britain and Ireland, 15, 246-263. [
DOI:10.2307/2841583]
10. Ghaedi, S.; and A. Shojaian, 2020. Spatial and temporal variability of precipitation concentration in Iran. Geographica Pannonica, 24(4). [
DOI:10.5937/gp24-27361]
11. Ghajarnia, N.; M. Akbari, P. Saemian, M.R. Ehsani, S.M. Hosseini‐Moghari, A. Azizian, Z. Kalantari, A. Behrangi, M.J. Tourian, B. Klöve, and A.T. Haghighi, 2022. Evaluating the evolution of ECMWF precipitation products using observational data for Iran: From ERA40 to ERA5. Earth and Space Science, 9(10), p.e2022EA002352. [
DOI:10.1029/2022EA002352]
12. Ghamghami, M.; and P. Irannejad, 2019. An analysis of droughts in Iran during 1988-2017. SN Applied Sciences, 1, 1-21. [
DOI:10.1007/s42452-019-1258-x]
13. Hao, Z.; F. Hao, V.P. Singh, W. Ouyang, and H. Cheng, 2017. An integrated package for drought monitoring, prediction and analysis to aid drought modeling and assessment. Environmental modelling & software, 91, 199-209. [
DOI:10.1016/j.envsoft.2017.02.008]
14. Herrera‐Estrada, J.E.; Y. Satoh, and J. Sheffield, 2017. Spatiotemporal dynamics of global drought. Geophysical Research Letters, 44(5), 2254-2263. [
DOI:10.1002/2016GL071768]
15. Izadi, N.; E.G. Karakani, A.R. Saadatabadi, A. Shamsipour, E. Fattahi, and M. Habibi, 2021. Evaluation of ERA5 precipitation accuracy based on various time scales over Iran during 2000-2018. Water, 13(18), 2538. [
DOI:10.3390/w13182538]
16. Kallis, G.; 2008. Droughts. Annual review of environment and resources, 33(1), 85-118. [
DOI:10.1146/annurev.environ.33.081307.123117]
17. Kazemzadeh, M.; Z. Noori, H. Alipour, S. Jamali, J. Akbari, A. Ghorbanian, and Z. Duan, 2022. Detecting drought events over Iran during 1983-2017 using satellite and ground-based precipitation observations. Atmospheric Research, 269, 106052. [
DOI:10.1016/j.atmosres.2022.106052]
18. Kendall, M.G.; 1948. Rank correlation methods. 4th Edition Charles Griffin, London. 6 P
19. Lin, H.; J. Wang, F. Li, Y. Xie, C. Jiang, and L. Sun, 2020. Drought trends and the extreme drought frequency and characteristics under climate change based on SPI and HI in the upper and middle reaches of the Huai River Basin, China. Water, 12(4), 1100. [
DOI:10.3390/w12041100]
20. Lloyd-Hughes, B.; 2012. A spatio-temporal structure-based approach to drought characterisation. International Journal of Climatology, 32(3), 406-418. [
DOI:10.1002/joc.2280]
21. Luo, Y.; H. Yu, S. Liu, Y. Liang, and S. Liu, 2019. Spatial heterogeneity and coupling of economy and population gravity centres in the Hengduan mountains. Sustainability, 11(6), 1508. [
DOI:10.3390/su11061508]
22. Mahajan, D.R; and B.M. Dodamani, 2015. Trend analysis of drought events over upper Krishna basin in Maharashtra. Aquatic Procedia, 4, 1250-1257. [
DOI:10.1016/j.aqpro.2015.02.163]
23. Malayeri, A.K.; B. Saghafian, and T. Raziei, 2021. Performance evaluation of ERA5 precipitation estimates across Iran. Arabian Journal of Geosciences, 14, 1-18. [
DOI:10.1007/s12517-021-09079-8]
24. Mallick, J.; S. Talukdar, M. Alsubih, R. Salam, M. Ahmed, N.B. Kahla, and M. Shamimuzzaman, 2021. Analysing the trend of rainfall in Asir region of Saudi Arabia using the family of Mann-Kendall tests, innovative trend analysis, and detrended fluctuation analysis. Theoretical and Applied Climatology, 143, 823-841. [
DOI:10.1007/s00704-020-03448-1]
25. Mann, H.B.; 1945. Nonparametric tests against trend. Econometrica: Journal of the econometric society,13, 245-259. [
DOI:10.2307/1907187]
26. Mishra, A.K.; V.P. Singh, and V.R. Desai, 2009. Drought characterization: a probabilistic approach. Stochastic Environmental Research and Risk Assessment, 23, 41-55. DOI: 10.1007/s00477-007-0194-2 [
DOI:10.1007/s00477-007-0194-2]
27. Modarres, R.; A. Sarhadi, and D.H. Burn, 2016. Changes of extreme drought and flood events in Iran. Global and Planetary Change, 144, 67-81. [
DOI:10.1016/j.gloplacha.2016.07.008]
28. Modarres, R.; A. Sarhadi, and D.H. Burn, 2016. Changes of extreme drought and flood events in Iran. Global and Planetary Change, 144, 67-81. [
DOI:10.1002/met.1899]
29. Patel, N.R.; P. Chopra, and V.K. Dadhwal, 2007. Analyzing spatial patterns of meteorological drought using standardized precipitation index. Meteorological Applications: A journal of forecasting, practical applications, training techniques and modelling, 14(4), 329-336. [
DOI:10.1002/met.33]
30. Pour, S.H.; A.K.A. Wahab, and S. Shahid, 2020. Spatiotemporal changes in precipitation indicators related to bioclimate in Iran. Theoretical and Applied Climatology, 141, 99-115. [
DOI:10.1007/s00704-020-03192-6]
31. Raziei, T.; B. Saghafian, A.A. Paulo, L.S. Pereira, and I. Bordi, 2009. Spatial patterns and temporal variability of drought in western Iran. Water resources management, 23, 439-455. [
DOI:10.1007/s11269-008-9282-4]
32. Tabari, H.; and P. Willems, 2016. Daily precipitation extremes in Iran: decadal anomalies and possible drivers. JAWRA Journal of the American Water Resources Association, 52(2), 541-559. [
DOI:10.1111/1752-1688.12403]
33. Tech, T.; 2011. Statistical analysis for monotonic trends.
34. Van Rooy, M.P., 1965. A rainfall anomally index independent of time and space, Notos, 14, 43-48.
35. Wang, S.Y.; , J.S. Liu and T.B. Ma, 2010. Dynamics and changes in spatial patterns of land use in Yellow River Basin, China. Land Use Policy, 27(2), 313-323. [
DOI:10.1016/j.landusepol.2009.04.002]
36. Wilhite, D.A.; and M.H. Glantz, 1985. Understanding: the drought phenomenon: the role of definitions. Water International, 10(3), 111-120. [
DOI:10.1080/02508068508686328]
37. World Meteorological Organization (WMO), 2006. Drought monitoring and early warning: concepts, progress and future challenges. progress and future challenges. WMO-No, WMO-No. 1006. WMO, Geneva, Switzerland Retrieved from http://www. droughtmanagement.info/literature/WMO_drought_monitoring_early_ warning_ 2006.pdf
38. Zhou, H.; Y. Liu, and Y. Liu, 2019. An approach to tracking meteorological drought migration. Water Resources Research, 55(4), 3266-3284. [
DOI:10.1029/2018WR023311]
39. Zhu, J.; Y. Zou, D. Chen, W. Zhang, Y. Chen, and W. Cheng, 2024. Analyzing the Spatiotemporal Dynamics of Drought in Shaanxi Province. Atmosphere, 15(11), 1264. [
DOI:10.3390/atmos15111264]