Spatiotemporal Variations of Total Cloud Cover and Cloud Optical Thickness in Iran

نویسندگان

1 Associate Professor, Department of physical geography, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran

2 Ph.D. Student, Department of physical geography, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran

3 Ph.D. Student, Department of physical geography, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Iran

چکیده

A knowledge of cloud properties and spatiotemporal variations of clouds is especially crucial to understand the radiative forcing of climate. This research aims to study cloudiness in Iran using the most recent satellite data, powerful databases, and regional and seasonal analyses. In this study, three data series were used for the spatiotemporal variations of cloudiness in the country: A) Cloudiness data of 42 synoptic stations in the country during the statistical period from 1970 to 2005, B) Cloud Optical Thickness (COT) of Terra and Aqua MODIS sensors for 2003-2015, and C) Total Cloud Cover (TCC) of ECMWF Database, ERA-Interim version, for 1979-2015. The values obtained in the country were located via the kriging geostatistical method by RMSE. The results showed that the highest TCC occurs during the winter months. At this time of the year, the cloud cover is reduced from North to South and from West to East. Besides, COT showed that in the cold months of the year, the highest COT is observed in January and the lowest in March. The west and central Zagros highlands have the highest COT. Incorporating COT and TCC results showed that the two factors of height and approximation and access to moisture sources contribute significantly to the regional differences of cloudiness in Iran.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Spatiotemporal Variations of Total Cloud Cover and Cloud Optical Thickness in Iran

نویسندگان [English]

  • Mahmoud Ahmadi 1
  • Abbasali Dadashiroudbari 2
  • Hamzeh Ahmadi 3
1 Associate Professor, Department of physical geography, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
2 Ph.D. Student, Department of physical geography, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
3 Ph.D. Student, Department of physical geography, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Iran
چکیده [English]

A knowledge of cloud properties and spatiotemporal variations of clouds is especially crucial to understand the radiative forcing of climate. This research aims to study cloudiness in Iran using the most recent satellite data, powerful databases, and regional and seasonal analyses. In this study, three data series were used for the spatiotemporal variations of cloudiness in the country: A) Cloudiness data of 42 synoptic stations in the country during the statistical period from 1970 to 2005, B) Cloud Optical Thickness (COT) of Terra and Aqua MODIS sensors for 2003-2015, and C) Total Cloud Cover (TCC) of ECMWF Database, ERA-Interim version, for 1979-2015. The values obtained in the country were located via the kriging geostatistical method by RMSE. The results showed that the highest TCC occurs during the winter months. At this time of the year, the cloud cover is reduced from North to South and from West to East. Besides, COT showed that in the cold months of the year, the highest COT is observed in January and the lowest in March. The west and central Zagros highlands have the highest COT. Incorporating COT and TCC results showed that the two factors of height and approximation and access to moisture sources contribute significantly to the regional differences of cloudiness in Iran.

کلیدواژه‌ها [English]

  • COT
  • TCC
  • ECMWF database
  • MODIS Sensor
  • Iran

مراجع

Ackerman, S., 2015, MODIS atmosphere L2 cloud mask product. NASA MODIS adaptive processing system, Goddard Space Flight Center, USA.
Ackerman, S. A., Holz, R. E., Frey, R., Eloranta, E. W., Maddux, B. C. and McGill, M., 2008, Cloud detection with MODIS. Part II: validation. Journal of Atmospheric and Oceanic Technology, 25(7), 1073-1086.
Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A., Moeller, C. C. and Gumley, L. E., 1998, Discriminating clear sky from clouds with MODIS. Journal of Geophysical Research, 103(D24), 32-141.
Ahmadi, M., Ahmadi, H. and Dadashiroudbari, A., 2018, Assessment of trends and spatial pattern seasonal and annual cloudiness in Iran. Natural Environmental Hazards, 7(15), 239-256. doi: 10.22111/jneh.2017.3200
Alijani, B., 2006, Iran climate, Payame Noor University Press, p. 221 (in Persian).
Barnes, M. L., Miura, T. and Giambelluca, T. W., 2016, An Assessment of Diurnal and Seasonal Cloud Cover Changes over the Hawaiian Islands Using Terra and Aqua MODIS. Journal of Climate, 29(1), 77-90.
Chang, F. L. and Coakley Jr, J. A., 2007, Relationships between marine stratus cloud optical depth and temperature: Inferences from AVHRR observations. Journal of climate, 20(10), 2022-2036.
Chernokulsky, A. V., Bulygina, O. N. and Mokhov, I. I., 2011, Recent variations of cloudiness over Russia from surface daytime observations. Environmental Research Letters, 6(3), 035202.
Dai, A., Karl, T. R., Sun, B. and Trenberth, K. E., 2006, Recent trends in cloudiness over the United States: A tale of monitoring inadequacies. Bulletin of the American Meteorological Society, 87(5), 597.
Darand, M. and Zand Karimi, S., 2015, Analyzing the measurement of spatiotemporal precision of precipitation of ECMWF on Iran. Natural Geography Research, 47(43), 651-657 (in Persian).
Eftekhari, D., 2013, Evaluation of some physical properties of the cloud in southern Iran by using the satellite data during the period of 2008-2012. Master's thesis for meteorology, Yazd University, directed by Dr. Seyed Majid Mirrokni and Dr. Seyed Mohammad Jafar Nazem Sadat, Yazd (in Persian).
Frey, R. A., Ackerman, S. A., Liu, Y., Strabala, K. I., Zhang, H., Key, J. R. and Wang, X., 2008, Cloud detection with MODIS. Part I: Improvements in the MODIS cloud mask for collection 5. Journal of Atmospheric and Oceanic Technology, 25(7), 1057-1072.
Ghasemifar, E., Farajzadeh, M., Ghavidel Rahimi, Y. and Ali-Akbari Bidokhti, A., 2018, Analysis of spatiotemporal variations of cloud fraction based on Geographic characteristics in Iran. Journal of the Earth and Space Physics, 44(1), 103-124. doi: 10.22059/jesphys.2017.60302
Ghasemifar, E., Farajzadeh, M., Perry, M. C., Rahimi, Y. G. and Bidokhti, A.A., 2017, Analysis of spatiotemporal variations of cloud fraction based on geographic characteristics over Iran. Theoretical and Applied Climatology, 1-17.
Holz, R. E., Platnick, S., Meyer, K., Vaughan, M., Heidinger, A., Yang, P. and Nagle, F., 2015, Resolving ice cloud optical thickness biases between CALIOP and MODIS using infrared retrievals. Atmospheric Chemistry & Physics Discussions, 15(20).
IPCC, 2007, Summary for Policymakers of Climate change 2007: the physical science basis. In Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press: Cambridge, UK.
Jakob, C., 1999, Cloud cover in the ECMWF reanalysis. Journal of climate, 12(4), 947-959.
Jovanovic, B., Collins, D., Braganza, K., Jakob, D. and Jones, D. A., 2011, A high-quality monthly total cloud amount dataset for Australia. Climatic change, 108(3), 485-517.
Kimura, F. and Kuwagata, T., 1995, Horizontal heat fluxes over complex terrain computed using a simple mixed-layer model and a numerical model. Journal of Applied Meteorology, 34(2), 549-558.
King, M. D., Kaufman, Y. J., Menzel, W. P. and Tanre, D., 1992, Remote sensing of cloud, aerosol, and water vapor properties from the Moderate Resolution Imaging Spectrometer (MODIS). IEEE Transactions on Geoscience and Remote Sensing, 30(1), 2-27.
King, M. D., Menzel, W. P., Kaufman, Y. J., Tanré, D., Gao, B. C., Platnick, S., Ackerman, S. A., Remer, L. A., Pincus, R. and Hubanks, P. A., 2003, Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS. IEEE Transactions on Geoscience and Remote Sensing, 41(2), 442-458.
King, M. D., Platnick, S., Hubanks, P. A., Arnold, G. T., Moody, E. G., Wind, G. and Wind, B., 2006, Collection 005 change summary for the MODIS cloud optical property (06_OD) algorithm. MODIS Atmosphere, 8.
Masoudian, S. A., 2011, Iran Climate, Sharia Toos Press, Mashhad; First Edition; Mashhad; p. 288 (in Persian).
Meyer, K. and Platnick, S., 2010, Utilizing the MODIS 1.38 μm channel for cirrus cloud optical thickness retrievals: Algorithm and retrieval uncertainties. Journal of Geophysical Research: Atmospheres, 115(D24).
Mitchell, J. F., 1989, Climate sensitivity: model dependence of results. In Climate and Geo-Sciences (pp. 417-433). Springer, Dordrecht.
Mofidi, A. and Zarrin, A., 2005, Synoptic Analysis of the nature of Sudan Low Pressure Systems, Geographical Quarterly of the country, 6, 26-48 (in Persian).
Pincus, R., Platnick, S., Ackerman, S. A., Hemler, R. S. and Patrick Hofmann, R. J., 2012, Reconciling simulated and observed views of clouds: MODIS, ISCCP, and the limits of instrument simulators. Journal of Climate, 25(13), 4699-4720.
Platnick, S., King, M. D., Ackerman, S. A., Menzel, W. P., Baum, B. A., Riédi, J.C. and Frey, R. A., 2003, The MODIS cloud products: Algorithms and examples from Terra. IEEE Transactions on Geoscience and Remote Sensing, 41(2), 459-473.
Rasooli, A. A., Jahanbakhsh, S. and Ghasemi, A. R., 2013, Investigation of Spatial and Temporal Variations of Cloud Cover in Iran. Geores, 28(3), 87-104.
Rasouli, A., Jahanbakhsh, S. and Ghasemi, A., 2013, Investigation of temporal and spatial variations of cloud cover in Iran. Geographical Survey Quarterly, 3, 85-102.
Sanchez-Lorenzo, A., Calbó, J. and Wild, M., 2012, Increasing cloud cover in the 20th century: review and new findings in Spain. Climate of the Past, 8(4), 1199-1212.
Sato, T. and Kimura, F., 2005, Diurnal cycle of convective instability around the central mountains in Japan during the warm season. Journal of the Atmospheric Sciences, 62(5), 1626-1636.
Sato, T., Kimura, F. and Hasegawa, A. S., 2007, Vegetation and topographic control of cloud activity over arid/semiarid Asia. Journal of Geophysical Research: Atmospheres, 112(D24).
Warren, S. G., Eastman, R. M. and Hahn, C. J., 2007, A survey of changes in cloud cover and cloud types over land from surface observations, 1971-96. Journal of Climate, 20(4), 717-738.
Wild, M., Ohmura, A., Gilgen, H. and Rosenfeld, D., 2004, On the consistency of trends in radiation and temperature records and implications for the global hydrological cycle. Geophysical Research Letters, 31(11).
Yadav, R. K., 2016, On the relationship between Iran surface temperature and northwest India summer monsoon rainfall. International Journal of Climatology, 36(13), 4425-4438.
You, Q., Jiao, Y., Lin, H., Min, J., Kang, S., Ren, G. and Meng, X., 2014, Comparison of NCEP/NCAR and ERA‐40 total cloud cover with surface observations over the Tibetan Plateau. International Journal of Climatology, 34(8), 2529-2537.
Zeng, S., Cornet, C., Parol, F., Riedi, J. and Thieuleux, F., 2012, A better understanding of cloud optical thickness derived from the passive sensors MODIS/AQUA and POLDER/PARASOL in the A-Train constellation. Atmospheric Chemistry and Physics, 12(23), 11245-11259.
فیزیک زمین و فضا
دوره 44، شماره 4
دی 1397
صفحه 145-164

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