Abstract
We conducted sensitivity tests for parameters in the process of analysis by SKYRAD.pack to investigate the error causes in aerosol single scattering albedo (SSA) for SKYNET, and we found that ground surface albedo (Ag), instrument solid view angle (SVA) and calibration constant (F0), which are input values in analysis, are the error causes in SSA, and F0 is also an error cause in AOT. Testing the inversion methods used in SKYNET, we found advantages and disadvantages in present (Phillips-Twomey) and MAP method in the cases that there are large particles in the atmosphere, e.g. large dusts or cirrus contaminations. The results suggest a new data screening or quality control method to select high quality data to be used for aerosol retrievals. We applied this screening method for real data at the Pune site in India, and found a large number of data, for which the values of SSA are close to unity, were removed as cirrus contamination data, and the variability of SSA was reduced.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
