Ahmadi, M., Ahmadi, H., Dadashiroudbari, A.A., 2018. Analyzing the trend of changes and the spatial pattern of annual and seasonal clouds in Iran. Nat. Environ. Hazards 7(15), 239-256 (in Persian).
Akbari, M., Sayad, V., 2021. Analysis of climate change studies in Iran. Nat. Geograph. Res. 53(1), 37-74 (in Persian).
Ceppi, P., Nowack, P., 2021. Observational evidence that cloud feedback amplifies global warming. Proc. Natl. Acad. Sci. U.S.A.118 (30) e2026290118.
Collow, A.B.M., Miller, M.A., 2016. The seasonal cycle of the radiation budget and cloud radiative effect in the Amazon rain forest of Brazil. J. Climate 29(21), 7703-7722.
Demir, U.S., Koc, A.C., 2021. Investigation of the North Atlantic Oscillation and Indian Ocean Dipole influence on precipitation in Turkey with cross-spectral analysis. Atmosphere 12(1), 99.
Dostan, R., Alijani, B., 2016. Climate change in Iran with a synoptic approach. Region. Geograph. Develop. 13(2), 89-113 (in Persian).
Efron, B., Tibshirani, R.J., 1993. An Introduction to the Bootstrap. Chapman & Hall/CRC.
Fattahi, E., Rahimzadeh, F., 2009. The relationship between ENSO and Iran's winter atmospheric circulation patterns. Geograph. Develop. 7(15), 21-44 (in Persian).
Frnda, J., Durica, M., Rozhon, J., Vojtekova, M., Nedoma, J., Martinek, R., 2022. ECMWF short-term prediction accuracy improvement by deep learning. Scientific Reports.
Gettelman, A., Sherwood, S.C., 2016. Processes responsible for cloud feedback. Current climate change reports. 2, 179-189.
Ghaedamini, H.A., Nazemosadat, M.J., Morid, S., Mehr Aver, S., 2024. Comparing the S2S hindcast skills to forecast Iran’s precipitation and capturing climate drivers signals over the Middle East. Theoreti. Applied Climatol. 155, 4941-4962.
Ghasemifar, E., Farajzade, M., Ghavidel Rahimi, Y., Akbari Bidokhti, A.A., 2018. Investigating spatio-temporal changes of cloudiness based on geographical features and remote sensing data in Iran. Earth Space Physi. 44(1), 103-124 (in Persian).
Hadi, M., Hashemkhani, M., Iravani, E., 2022. Analysis of the scientific research process in the field of climate change in Iran. Health Environ. 15(2), 361-378 (in Persian).
Hang, Y., 2016. The effect of cloud type on earth’s energy balance. Doctoral dissertation, University of Wisconsin Madison.
Hatami Bahmanbeiglou, K., Movahedi, S., 2017. Evaluating the percentage of cloud cover in Iran using MODIS Terra sensor data (case study: year 2007). Nat. Geograph. Res. 49(4), 631-643 (in Persian).
Hejazizadeh, Z., Darand, M., Alijani, B., Nasserzadeh, M., Mirzaei, N., 2024. Investigation into variation in atmospheric circulation affecting the time delay of widespread and effective autumn’s precipitation. Climate Change Climatic Disasters 3(5), 27-64 (in Persian).
Intergovernmental Panel on Climate Change., 2001. IPCC: Climate Change 2001a: Impacts, Adaptation & Vulnerability, from https://www.ippc.ch.
Intergovernmental Panel on Climate Change., 2001. IPCC: Climate Change 2001b: The Scientific Basis, from https://www.ippc.ch.
Karbakhsh Ravari, M., 2019. Transient Period of Autumn and Spring Seasons in Fars Province Using Synoptic Maps. Msc. Thesis Shiraz University.
Kejna, M., Uscka-Kowalkowska, J., Kejna, P., 2021. The influence of cloudiness and atmospheric circulation on radiation balance and its components. Theoreti. Applied Climatol. 144, 823-838.
Koshiro, T., Kawai, H., Noda, A.T., 2022. Estimated cloud-top entrainment index explains positive low-cloud-cover feedback. Proceedings of the National Academy of Sciences. 119(29), e2200635119.
Mann, H.B., Whitney, D.R., 1947. On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics. 50-60.
Masoudian, S.A., Kaviani, M.R., 2007. Climatology of Iran. Isfahan University Publications. First edition.
Mieslinger, T., Stevens, B., Kölling, T., Brath, M., Wirth, M., Buehler, S.A., 2022. Optically thin clouds in the trades. Atmosph. Chemistry Physics. 22(11), 6879-6898.
Moradi, H., 2004. Possible influences of North Atlantic Oscillation on winter reference climate of Iran. Global Planet. Change. 42(1-4), 1–10.
Mokhtari, R., Fakouriyan, S., Ghasempour, R., 2021. Investigating the effect of cloud cover on radiative cooling potential with artificial neural network modeling. Front. Energy Res. 8, 658338.
Nazemosadat, M.J., Shahgholian, K., Ghaedamini, H.A., 2023. The wet and dry spells within the MJO-phase 8 and the role of ENSO and IOD on the modulation of these spells: A regional to continental-scales analysis. Atmosph. Res. 285, 106631.
Park, J., Lee, T., Shin, H., 2024. Impact of Indian Ocean Dipole on climate variability in Southeast Asia. J. Climate Dynamics. 48(4), 1123-1140.
Pourasghar, F., Tozuka, T., Ghaemi, H., Oettli, P., Jahanbakhsh, S., Yamagata, T., 2014. Influences of the MJO on intraseasonal rainfall variability over southern Iran. Atmosph. Sci. Letters 16(2), 110-118.
Pourasghar, F., Oliver, E.C.J., Holbrook, N.J., 2019. Modulation of wet-season rainfall over Iran by the Madden–Julian Oscillation, Indian Ocean Dipole and El Niño–Southern Oscillation. Int. J. Climatol. 39(10), 4029-4040.
Rashedi, S., Sorooshian, A., Tajbar, S., Bobakran O.S., 2024. On the characteristics and long-term trend of total cloud cover in Iran. Acta. Geophys. 72, 4633-4648.
Rosenfeld, D., Lensky, I.M., 1998. Satellite-based insights into precipitation formation processes. Bullet. America. Meteorol. Soci. 79(11), 2457-2476.
Sepadeh, D., Salahi, B., Alijani, B., Zeynali, B., 2020. The status of the polar front in relation to the cold season over Iran. J. Geograph. Nat. Hazards. 13(49), 55-66 (in Persian).
Stephens, G.L., 2005. Cloud feedbacks in the climate system: A critical review. J. Climate. 18(2), 237-273.
World Meteorological Organization., 2008. WMO: International Cloud Atlas, Volume I, from https://public.wmo.int/en.
Yang, P., Baum, B.A., Hu, Y.X., Feng, Q., 2020. Global impact of cloud longwave scattering in an atmosphere. J. Geophy. Res.: Atmospheres 125(20), e2020JD033968.
Zarei, N., Behzadi, F., Vasheghani Farahani, E., Massah Bavani, A., 2024. Assessing the Influence of the El Niño–Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) on Precipitation in Iran Using Kendall and Pearson Correlations. Proceedings of the 8th International Electronic Conference on Water Sciences. 14-16 October 2024. MDPI.
Zhao, G., Di Girolamo, L., 2006. Cloud optical thickness variations with temperature. J. Geophy. Res.: Atmospheres 111(D19).
Zelinka, M.D., Klein, S.A., Qin, Y., Myers, T.A., 2022. Evaluating climate models’ cloud feedbacks against expert judgment. J. Geophy. Res.: Atmospheres 127(2), e2021JD035198.
Zhu, J., Poulsen, C. J., 2020. On the increase of climate sensitivity and cloud feedback with warming in the community atmosphere models. Geophysical Research Letters. 47, e2020GL089143.