Thesis (Ph.D.) - Cairo University - Faculty of Science - Department of Astronomy and Meteorology

Surface solar irradiance components and parameters are usually required for different utilization of solar energy. Moreover, most weather and climate models require not only ordinary input data, which could be provided through observations or even by remote sensing satellites, but it has to be quality controlled and assured data; of course, in addition to its availability at any time at any location.The probity of Surface Solar Irradiance (SSI) in Egypt monthly averages are evaluated by investigating the impact of data gaps due to missing or invalid data on computing the monthly mean diurnal cycle based on the hourly means. The monthly statistics, especially means, are deemed to be essential and useful values for climate research, numerical models validations and for evaluating the quality of satellite data products. In this work a focus on the procedures of quality control is implemented to SUSIE database.The interaction of mineral dust with incoming solar radiation is still one of the largest uncertainties in modern climate projection and weather forecast. Depending on their chemical composition and size, atmospheric aerosol particles absorb, scatter, or reflect the solar radiation over short and long bands.As a consequence, aerosol particles have an impact on the radiation budget balance of the earth atmosphere system, thus inducing various feedback processes influencing precipitation, radiation, and the state of the atmosphere. This study is conducted using data analysis of surface solar irradiance (SSI) measurements made from 2004 to 2010 for the Egyptian territory. trends. Data summary of SUSIE database is presented in this thesis

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