1. Zwiers FW, Zhang X. Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation. Geneva, Switzerland: World Meteorological Organization; 2009. [
Link]
2. Gautam N, Arora M, Goel NK. Prediction of precipitation for considering climate change and gcm outputs: satluj river. Ecopersia. 2014;2(4):757-65. [
Link]
3. Peterson T. Report on the activities of the working group on climate change detection and related rapporteurs. Geneva, Switzerland: World Meteorological Organization; 2001. pp. 1-143. [
Link]
4. Hess JJ, Malilay JN, Parkinson AJ. Climate change: The importance of place. Am J Prev Med. 2008;35(5):468-78. [
Link] [
DOI:10.1016/j.amepre.2008.08.024]
5. Akbari M, Ownegh M, Asgari H, Sadoddin A, Khosravi H. Drought Monitoring Based on the SPI and RDI Indices under Climate Change Scenarios (Case Study: Semi-Arid Areas of West Golestan Province). ECOPERSIA. 2016;4(4):1585-602. [
Link] [
DOI:10.18869/modares.ecopersia.4.4.1585]
6. Goodarzi E, Dastorani M, Massah Bavani A, Talebi A. Evaluation of the change-factor and lars-wg methods of downscaling for simulation of climatic variables in the future (case study: Herat Azam Watershed, Yazd - Iran). ECOPERSIA. 2015;3(1):833-46. [
Link]
7. Ghazanfari MM, Alizadeh A, Mosavi BS, Faridhosseini A, Bannayan AM. Comparison the PERSIANN model with the interpolation method to estimate daily precipitation (a case study: North Khorasan). Iran J Water Soil. 2011;25(1):207-15. [
Link]
8. Sadras VO. Influence of size of rainfall events on water-driven processes. I. Water budget of wheat crops in south-eastern Australia. Crop Pasture Sci. 2003;54(4):341-51. [
Link] [
DOI:10.1071/AR02112]
9. Rosenzweig C, Jones JW, Hatfield JL, Ruane AC, Boote KJ, Thorburn P, et al. The agricultural model intercomparison and improvement project (AgMIP): Protocols and pilot studies. Agric For Meteorol. 2013;170:166-82. [
Link] [
DOI:10.1016/j.agrformet.2012.09.011]
10. Ruane AC, Goldberg R, Chryssanthacopoulos J. Climate forcing datasets for agricultural modeling: Merged products for gap-filling and historical climate series estimation. Agric For Meteorol. 2015;200:233-48. [
Link] [
DOI:10.1016/j.agrformet.2014.09.016]
11. Luo F, Wilcox L, Dong B, Su Q, Chen W, Dunstone N, et al. Projected near-term changes of temperature extremes in Europe and China under different aerosol emissions. Environ Res Lett. 2020;15(3):034013. [
Link] [
DOI:10.1088/1748-9326/ab6b34]
12. Niu Z, Wang L, Fang L, Li J, Yao R. Analysis of spatiotemporal variability in temperature extremes in the Yellow and Yangtze River basins during 1961-2014 based on high‐density gauge observations. Int J Climatol. 2020;40(1):1-21. [
Link] [
DOI:10.1002/joc.6188]
13. Tavakol A, Rahmani V, Harrington Jr J. Evaluation of hot temperature extremes and heat waves in the Mississippi River Basin. Atmos Res. 2020;239:104907. [
Link] [
DOI:10.1016/j.atmosres.2020.104907]
14. Parak F, Roshani A, Jamali JB. Trends and anomalies in daily climate extremes over Iran during 1961-2010. J Environ Agric Sci. 2015;2(11):1-17. [
Link]
15. Rahimzadeh F, Asgari A, Fattahi E. Variability of extreme temperature and precipitation in Iran during recent decades. Int J Climatol. 2009;29(3):329-43. [
Link] [
DOI:10.1002/joc.1739]
16. Abolverdi J, Ferdosifar G, Khalili D, Kamgar-Haghighi AA, Haghighi MA. Recent trends in regional air temperature and precipitation and links to global climate change in the Maharlo watershed, Southwestern Iran. Meteorol Atmos Phys. 2014;126(3-4):177-92. [
Link] [
DOI:10.1007/s00703-014-0341-5]
17. Ghiami-Shamami F, Sabziparvar AA, Shinoda S. Long-term comparison of the climate extremes variability in different climate types located in coastal and inland regions of Iran. Theoretic Appl Climatol. 2019;136(3-4):875-97. [
Link] [
DOI:10.1007/s00704-018-2523-4]
18. Alizadeh-Choobari O, Najafi M. Extreme weather events in Iran under a changing climate. Clim Dyn. 2018;50(1-2):249-60. [
Link] [
DOI:10.1007/s00382-017-3602-4]
19. Zampieri M, Ceglar A, Dentener F, Toreti A. Wheat yield loss attributable to heat waves, drought and water excess at the global, national and subnational scales. Environ Res Lett. 2017;12(6):064008. [
Link] [
DOI:10.1088/1748-9326/aa723b]
20. Joseph JE, Akinrotimi OO, Rao KP, Ramaraj A, Traore PS, Sujatha P, et al. The usefulness of gridded climate data products in characterizing climate variability and assessing crop production. 2020. [
Link]
21. Razavi A, Mahallati M, Koocheki A, Beheshti A. Applicability of AgMERRA for gap-filling of Afghanistan in-situ temperature and precipitation data. J Water Soil. 2018;32(3):601-11. [
Link]
22. Tesfaye K, Aggarwal PK, Mequanint F, Shirsath PB, Stirling CM, Khatri-Chhetri A, et al. Climate variability and change in Bihar, India: Challenges and opportunities for sustainable crop production. Sustainability. 2017;9(11):1998. [
Link] [
DOI:10.3390/su9111998]
23. Salehnia N, Alizadeh A, Sanaeinejad H, Bannayan M, Zarrin A, Hoogenboom G. Estimation of meteorological drought indices based on AgMERRA precipitation data and station-observed precipitation data. J Arid L. 2017;9(6):797-809. [
Link] [
DOI:10.1007/s40333-017-0070-y]
24. Bannayan M, Lashkari A, Zare H, Asadi S, Salehnia N, editors. Applicability of AgMERRA forcing dataset to fill the gaps in historical in-situ meteorological data, case study: Iran. AGU Fall Meeting San Francisco. San Francisco: American Geophysical :union:; 2015. [
Link]
25. Yaghoubi F, Bannayan Aval M, Asadi GA. Evaluation of grided AgMERRA weather data for simulation of water requirement and yield of rainfed wheat in Khorasan Razavi Province. J Water Soil. 2018;32(2):415-31. [
Link]
26. Lashkari A, Bannayan M, KoochekiI A, Alizadeh A, Choi Y, Park S. Applicability of AgMERRA forcing dataset forgap-filling of in-situ meteorological observation, Case Study: Mashhad Plain. J Water Soil. 2015;29(6):1749-58. [
Link]
27. Yaghoubi F, Bannayan M, Asadi G-A. Performance of predicted evapotranspiration and yield of rainfed wheat in the northeast Iran using gridded AgMERRA weather data. Int J Biometeorol. 2020;64:1519-37. [
Link] [
DOI:10.1007/s00484-020-01931-y]
28. Tabari H, Talaee PH. Analysis of trends in temperature data in arid and semi-arid regions of Iran. Glob Planet Chang. 2011;79(1-2):1-10. [
Link] [
DOI:10.1016/j.gloplacha.2011.07.008]
29. Tan ML, Samat N, Chan NW, Lee AJ, Li C. Analysis of precipitation and temperature extremes over the Muda River Basin, Malaysia. Water. 2019;11(2):283. [
Link] [
DOI:10.3390/w11020283]
30. Tong S, Li X, Zhang J, Bao Y, Bao Y, Na L, et al. Spatial and temporal variability in extreme temperature and precipitation events in Inner Mongolia (China) during 1960-2017. Sci Total Environ. 2019;649:75-89. [
Link] [
DOI:10.1016/j.scitotenv.2018.08.262]
31. Worku G, Teferi E, Bantider A, Dile YT. Observed changes in extremes of daily rainfall and temperature in Jemma Sub-Basin, Upper Blue Nile Basin, Ethiopia. Theor Appl Climatol. 2019;135(3-4):839-54. [
Link] [
DOI:10.1007/s00704-018-2412-x]
32. Zhang M, Chen Y, Shen Y, Li B. Tracking climate change in Central Asia through temperature and precipitation extremes. J Geogr Sci. 2019;29(1):3-28. [
Link] [
DOI:10.1007/s11442-019-1581-6]
33. DehghanSh KS, Eslamian S, Gandomkar A, Marani-Barzani M, Amoushahi-Khouzani M, Singh V, et al. Changes in temperature and precipitation with the analysis of geomorphic basin Chaos in Shiraz, Iran. Int J Constr Res Civ Eng. 2017;3(2):50-7. [
Link] [
DOI:10.20431/2454-8693.0302004]
34. Choubin B, Khalighi-Sigaroodi S, Malekian A, Ahmad S, Attarod P. Drought forecasting in a semi-arid watershed using climate signals: A neuro-fuzzy modeling approach. J Mt Sci. 2014;11(6):1593-605. [
Link] [
DOI:10.1007/s11629-014-3020-6]
35. Abbasi H, Delavar M, Bigdeli NR. Evaluation of the Effects of Climate Change on Water Resource Sustainability in Basins Using Water Footprint Scarcity Indicators. Iran Water Resour Res. 2020;15(4):259-72. [Persian] [
Link]
36. Tabouzadeh S, Zarei H, Bazrafshan O. Analysis of severity, duration, frequency and zoning map of meteorological drought of Bakhtegan river basin. Irri Sci Engin. 2016;38(4):109-23. [Persian] [
Link]
37. Choubin B, Malekian A, Golshan M. Application of several data-driven techniques to predict a standardized precipitation index. Atmósfera. 2016;29(2):121-8. [
Link] [
DOI:10.20937/ATM.2016.29.02.02]
38. Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Klein Tank A, et al. Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res Atmos. 2006;111(D5). [
Link] [
DOI:10.1029/2005JD006290]
39. Zhang X, Yang F. RClimDex (1.0) user manual. Canada: Climate Research Branch Environment Canada; 2004. [
Link]
40. Zhang X, Aguilar E, Sensoy S, Melkonyan H, Tagiyeva U, Ahmed N, et al. Trends in Middle East climate extreme indices from 1950 to 2003. J Geophys Res Atmos. 2005;110(D22). [
Link] [
DOI:10.1029/2005JD006181]
41. Williams MA, Balling Jr RC. Interactions of desertification and climate: Edward Arnold. London: Hodder Headline; 1996. P. 270. [
Link]
42. Darand M. Assessment and detection of climate change in Iran during recent decades. Iran J Watershed Manag Scie Engin. 2015;9(30):1-14. [Persian] [
Link]