Bai, H., Cheng, G., Minghuai W., Zhibo Z., & Tristan L., (2017), Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites, Atmospheric Chemistry and Physics Discussions,18(3): 1-36. 10.5194/acp-2017-887
Baum, B., Menzel W. P., Frey, R.. Tobin, D,. Holz, R., Ackerman, S.,( 2012), MODIS Cloud Top Property Refinements for Collection 6, Journal of Applied Meteorology and Climatology, 51: 1145-1163, doi: 10.1175/JAMC-D-11-0203.1
Bumrungklang, P. S.,( 2009), An Analysis of Seasonal Thunderstorm Cloud Distribution and Its Relation to Rainfall in Thaland using remotly sen data, Suranaree J.Sci. Technol., 5(1): 71-86.
Curry ,JA., Webster, PJ., (2011), Climate science and the uncertainty monster, Bull Am Meteorol Soc ,92(12):1667–1682. https://doi.org/10.1175/2011BAMS3139.1
Choobari A., Gharaylou M., (2017), Aerosol impacts on radiative and microphysical properties of clouds and precipitation formation, Atmospheric Research, 185(1):43-64
Filipiak, J., Mietus, M.,( 2009), Spatial and temporal variability of cloudiness in Poland, 1971-2000, Int. J. Climatol , 29: 1294-1311. DOI:10.1002/joc.1777
Finger, D., Vis, M., Huss, M. & Seibert, J., (2015),The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments, Water Resour Res, 51(4): 1939–1958, DOI: 10.1002/2014WR015712
Halimi M., Rezaei M., Mohammadi Ch. & Farajzadeh M.,( 2017), Association between cloudiness and rainfall over Fars province in Iran, Russian Meteorology and Hydrology, 42: 671–676, https://doi.org/10.3103/S1068373917100077
Her, Y., Yoo, SH., Cho, J. , Hwang S., Jeong J. & Seong C.,( 2019), Uncertainty in hydrological analysis of climate change: multi-parameter vs. multi-GCM ensemble predictions. Sci Rep, 9, 4974 https://doi.org/10.1038/s41598-019-41334-7
Huiling, Y., Hui, X., Yan-Chao, H., (2011), A numerical study of aerosol effects on cloud microphysical processes of hailstorm clouds, Atmospheric Research, 102(4): 432–443. 10.1016/j.atmosres.2011.09.007.
Intergovernmental Panel on Climate Change IPCC.,(2014), Climate change 2014: a synthesis report, Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. https://www.ipcc.ch/report/ar5/syr/. Accessed 19 January 2017
Jaswal, A K.,(2017), Variability Changes in Cloud Cover Over India During 1951–2010. In Observed ClimateVariability and Change over the Indian Region (pp. 107-127). Springer Singapore, 2017
Johansson, E. , Devasthale, A. , L'Ecuyer, T. , Ekman, A. M., Tjernström, M., (2015), The vertical structure of cloud radiative heating over the Indian subcontinent during summer monsoon. Atmospheric Chemistry and Physics, 15 (20): 11557-11570. https://doi.org/10.5194/acp-15-11557-2015
Kumar, K.N., Suzuki, K., (2019), Assessment of seasonal cloud properties in the United Arab Emirates and adjoining regions from geostationary satellite data. Remote Sens. Environ. , 228: 90–104. https://doi.org/10.1016/j.rse.2019.04.024
Mehta, L., Srivastava, S., Adam, H.N. Bose A.S., Ghosh U., Kumar V.,(2019), Climate change and uncertainty from ‘above’ and ‘below’: perspectives from India. Reg Environ Change ,19: 1533–1547. https://doi.org/10.1007/s10113-019-01479-7
Mourad, L., Ameur, S., Jean, B., Testud, J., Bachir, H., Hameg, S., Fethi, O., Yacine, M.,(2013),Identification of raining clouds using a method based on optical and microphysical cloud properties from Meteosat second generation daytime and nighttime data, Applied Water Science, 3:1-11 10.1007/s13201-013-0079-0.
Nazaryan, H.,McCormick, M.P., Menzel, W.P.,(2008), Global characterization of cirrus clouds using CALIPSO data, J. Geophys. Res. Atmos,113: 1–12. https://doi.org/10.1029/2007JD009481
Norris, J. R., (2000), What can cloud observations tell us about climate variability? Space Science Reviews, 94(1-2): 375-380. https://doi.org/10.1023/A:1026704314326
Pan, B., Liu, D. , Kuma,r K., Wang, M., & LathaDevi, N.,(2021), Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007–2016, Atmospheric Environment, 246(1): https://doi.org/10.1016/j.atmosenv.2020.118082
Platnick, S., Meyer, K., King, M. D., Wind, G., Amarasinghe, N., Marchant, B., Arnold, G. T., Zhang, Z., Hubanks, P. A., Holz, R. E., Yang, P., Ridgway, W. L., & Riedi, J.,(2017), The MODIS cloud optical and microphysical products: Collection 6 updates and examples from Terra and Aqua. IEEE Trans. Geosci. Remote Sens, 55: 502-525, doi:10.1109/TGRS.2016.2610522.
Punay, J., Perez, G.J.P., (2014), Evaluation of MODIS Cloud Product-derived rainfall estimates. 35th Asian Conference on Remote Sensing 2014, ACRS 2014: Sensing for Reintegration of Societies.
Naira S., Resmi, E.A., Kulkarni G., Malap N., Patade S., Thara V., (2015), Thermodynamical and cloud microphysical response during the transition from southwest to northeast monsoon. Atmospheric Research, 166(1): 182-194. https://doi.org/10.1016/j.atmosres.2015.06.018
Stephens, G., (2005), Cloud feedbacks in the climate system: a critical review. J. Climate, 18: 237–273. DOI: https://doi.org/10.1175/JCLI-3243.1
Sarangi Ch., Tripathi S., KanawadeV., Koren I., and Sivanand D.,( 2017), Investigation of the aerosol–cloud–rainfall association over the Indian summer monsoon region, Atmos. Chem. Phys., 17(1): 5185–5204 doi:10.5194/acp-17-5185-2017
Chakraborty S., Maitra, A., (2013), Interrelation between microphysical and optical properties of cloud and rainfall in the Indian region. Indian Journal of Radio & Space Physics, 42:105-112. http://hdl.handle.net/123456789/17096
Warren, S. G., Eastman, R. M., & Hahn, C. J., (2007), A survey of changes in cloud cover and cloud tpes over land from surface observations, 1971-96. Journal of Climate, 20(4): 717-738. DOI: https://doi.org/10.1175/JCLI4031.1
Wenjing, Z., Ning, Z., & Jianning, S., (2014), Spatiotemporal Variations of Cloud Amount over the Yangtze River Delta, China. Journal of Meteorological Research, 28(3): 371-380. DOI:10.1007/s13351-014-3064-0
Yi Wang, X. S.,(2010), Microphysical and radiative effects of ice clouds on responses of rainfall to the largescale forcing during pre-summer heavy rainfall over southern China. Atmospheric Research, 97(1-2): 35-46. DOI 10.1016/j.atmosres.2010.03.005
Zeng, X.,(1999), The Relationship among Precipitation, Cloud-Top Temperature, and Precipitable Water over the Tropics. journal of climate, 12: 2503-2514. DOI: https://doi.org/10.1175/1520-0442(1999)0122.0.CO;2.