Allen, M. R., & Ingram, W. J. (2002). Constraints on future changes in climate and the hydrologic cycle. 419(September).
Asati, S. R. (2012). Analysis of rainfall data for drought investigation at Agra U . P . International Journal of Life Sciences Biotechnology and Pharma Research, 1(4), 81–86.
Bickici Arikan, B., & Kahya, E. (2019). Homogeneity revisited: analysis of updated precipitation series in Turkey. Theoretical and Applied Climatology, 135(1–2), 211–220.
https://doi.org/10.1007/s00704-018-2368-x
Gardner, B. S., & Biswas, B. (2015). Enhancing merciless euthanasia of Yamuna- Role of Agra. Land & Water Renewable Energy for Sustainable Development, 150–157.
https://doi.org/10.5281/zenodo.8159584
Gardner, B. S., Biswas, B., & Majeed, A. (2016). Land use land cover of Agra tehsil: A comparative study from 2002 to 2015. In Scholars Research Library Archives of Applied Science Research (Vol. 8, Issue 12).
https://doi.org/10.5281/zenodo.8159898
Gaur, M. K., & Squires, V. R. (2018). Geographic Extent and Characteristics of the World’s Arid Zones and Their Peoples. In Climate Variability Impacts on Land Use and Livelihoods in Drylands (pp. 3–20). Springer International Publishing.
https://doi.org/10.1007/978-3-319-56681-8_1
Houghton, J. T., Jenkins, G. J., & Ephraums, J. J. (1990). Climate change: The IPCC scientific assessment: Vol. 80:6. Cambridge, MA (United States); Cambridge University Press.
https://www.osti.gov/biblio/6819363
IPCC , 2014: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. (2014). In T. E. B. Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, A. N. L. M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, & and L. L. W. (eds. ) S. MacCracken, P.R. Mastrandrea (Eds.), Cambridge University Press.
https://www.ipcc.ch/report/ar5/syr/
Kesava Rao, A. V. R., Wani, S. P., Singh, K. K., Irshad Ahmed, M., Srinivas, K., Bairagi, S. D., & Ramadevi, O. (2013). Increased arid and semi-arid areas in India with associated shifts during 1971-2004. Journal of Agrometeorology, 15(1), 11–18.
Mallakpour, I., & Villarini, G. (2016). A simulation study to examine the sensitivity of the Pettitt test to detect abrupt changes in mean. Hydrological Sciences Journal, 61(2), 245–254.
https://doi.org/10.1080/02626667.2015.1008482
Mohammed, R., & Scholz, M. (2023). Quality Control and Homogeneity Analysis of Precipitation Time Series in the Climatic Region of Iraq. Atmosphere, 14(2).
https://doi.org/10.3390/atmos14020197
Romero, R., Guijarro, J. A., Ramis, C., Alonso, S., Group, M., Mallorca, P. De, Meteorolo, C., & Mallorca, P. De. (1998). A 30-YEAR ( 1964 – 1993 ) DAILY RAINFALL DATA BASE FOR THE SPANISH MEDITERRANEAN REGIONS : FIRST EXPLORATORY. 560, 541–560.
Sánchez-Lavega, A., Pérez-Hoyos, S., & Hueso, R. (2004). Clouds in planetary atmospheres: A useful application of the Clausius–Clapeyron equation. American Journal of Physics, 72(6), 767–774.
https://doi.org/10.1119/1.1645279
Singh, P. K., & Chudasama, H. (2021). Pathways for climate resilient development: Human well-being within a safe and just space in the 21st century. Global Environmental Change, 68, 102277.
https://doi.org/10.1016/J.GLOENVCHA.2021.102277
Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B. (2003). The Changing Character of Precipitation. Bulletin of the American Meteorological Society, 84(9), 1205–1218.
https://doi.org/10.1175/BAMS-84-9-1205
Wang, T., Hamann, A., Spittlehouse, D., & Carroll, C. (2016). Locally downscaled and spatially customizable climate data for historical and future periods for North America. PLoS ONE, 11(6), 1–17.
https://doi.org/10.1371/journal.pone.0156720
Wijngaard, J. B., Klein Tank, A. M. G., & Können, G. P. (2003). Homogeneity of 20th century European daily temperature and precipitation series. International Journal of Climatology, 23(6), 679–692.
https://doi.org/10.1002/joc.906
Xie, H., Li, D., & Xiong, L. (2014). Exploring the ability of the Pettitt method for detecting change point by Monte Carlo simulation. Stochastic Environmental Research and Risk Assessment, 28(7), 1643–1655.
https://doi.org/10.1007/s00477-013-0814-y
Xu, L., Yu, G., Zhang, W., Tu, Z., & Tan, W. (2020). Change features of time-series climate variables from 1962 to 2016 in Inner Mongolia, China. Journal of Arid Land, 12(1), 58–72.
https://doi.org/10.1007/s40333-019-0124-4