Diurnal variations of convective cloudiness in tropical Africa observed with Meteosat ISCCP B2 data |
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| Institution: | 1. Department of Chemistry, Jamia Millia Islamia, New Delhi 110025, India;2. Indian Institute of Technology Kanpur, Kanpur, India;3. Infection & Immunity Lab, Department of Biotechnology, Jamia Millia Islamia, New Delhi 110025, India;4. Department of Physics, Jamia Millia Islamia, New Delhi 110025, India;1. Environmental BioTechnology Group (EBiTG), Department of Civil Engineering, Indian Institute of Technology, Roorkee, Roorkee, 247667, India;2. Department of Life Sciences, Central University of Tamil Nadu, Thiruvarur 610005, Tamil Nadu, India;3. Gujarat Pollution Control Board, Gandhinagar, 382 010, Gujarat, India;1. Dept. of Nutrition, Dietetics, & Hospitality Management, College of Human Sciences, Auburn University, 328 Spidle Hall, Auburn, AL 36849-5605, United States;2. The Lester E. Kabacoff School of Hotel, Restaurant and Tourism Administration, University of New Orleans, Kirschman Hall, Room 462C, 2000 Lakeshore Drive, New Orleans, LA 70148, United States;1. School of Power and Mechanical Engineering, Wuhan University, Wuhan, Hubei Province, PR China;2. College of Pipeline and Civil Engineering, China University of Petroleum, Qingdao, PR China;3. School of Civil Engineering, Hunan University of Technology, Zhuzhou, Hunan Province, PR China;4. Energy and Electricity Research Center, Jinan University, Zhuhai, Guangdong Province, PR China |
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| Abstract: | Monthly composite images have been constructed from 8 times of the day from the ISCCP B2 Meteosat data set. Average and standard deviation images in IR and WV channels have been constructed at first. These images allow to describe the mean diurnal cycle of convection over Africa, and show that this cycle is strongly influenced by the orography. Comparisons between two very different rainy seasons in West Africa, 1983 and 1985, show some differences in the diurnal cycles. |
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