VALIDATION OF THE CALIPSO SATELLITE DATA FOR THE PETROLINA-PE REGION USING AN AERONET SOLAR PHOTOMETER
Aerosol Optical Depth, Satellite data callibration, CALIPSO/CALIOP, CIMEL solar photometer.
To better understand the complexity of the influence of aerosols on climate change, it is necessary an accurate comprehension about the interaction of these particles with the sunlight, analysing their different effects on the scattering and absorption of radiation. Directly, the aerosols interfere in the radioactive balance of the planet, and, indirectly, they can act like nuclei of condensation of clouds. The proposal of this research is, as a main objective, the validation of the data of the CALIPSO satellite, in a region centered in Petrolina/PE. CALIPSO was developed by NASA in cooperation with CNES, and it has on board a LIDAR instrument, the CALIOP. The system probes the vertical structure and the properties of thin clouds and aerosols over the globe, during satellite passes. The purpose of validation is to more accurately estimate the climate change processes that are related to aerosols in the Petrolina-PE region. Ensuring a high quality control of the LIDAR CALIOP system products is important, since measurements made by satellites, although very comprehensive, still has a lack of precision because of the intricate data acquisition and processing algorithms that ultimately need to be calibrated by measurements obtained on ground. Therefore, methodologies will be used to validate the Aerosol Optical Depth (AOD) of CALIPSO using on ground data collected by a CIMEL solar photometer from the Aerosol Robotic Network – AERONET (NASA), installed in Petrolina/Pe, located in the Northeast Region of Brazil. At first, days of measurements of the photometer were chosen in correspondence to the days of passage of the satellite in the region of study, to determine the better collection of both sets improving the establishment of the data validation. After validation, a statistical analysis will be carried out to verify possible correlations of local meteorological variables (p. e., water precipitation) with the observed levels of OAD for the region.