Comparison was performed by correlating the logarithm of the cloud optical thickness (COT) with radar reflectance in dBZ (radar reflectance – Z in logarithmic form). To validate the parallax correction, procedure data from on-ground radars and the Meteosat Second Generation (MSG) satellite, which describes stormy events, was compared before and after correction. Therefore, the chosen method will be important when the resolution of geostationary EO satellites reaches 50 m. The pixel sizes of these satellites are much greater than for maximal error of the least precise method presented in this paper. Currently, operating geostationary Earth Observation (EO) satellite resolutions vary from 0.5 km up to 8 km. The results of an experiment are described and contrasted with current technology. Also, a simulation experiment that evaluates the proposed methods is described in the paper. A sample numerical solution procedure with application of the Newton method is presented. It is described as a set of equations that are solved with the numerical method, and its error can be driven to near zero by adjusting the count of iterations. The third method, also proposed by the author, incorporates geodetic coordinates. With this augmentation, the error can be reduced to centimeters. The second method, which is proposed by the author, is an augmented version of the Vicente et al./Koenig approach. The error values of this method reach up to 50 meters. It approximates a cloud position using an ellipsoid with semi-axes increased by the cloud height. The analytical method that could be found in literature, namely the Vicente et al./Koenig method, is presented at the beginning. This study demonstrates new methods of parallax effect correction for clouds observed by geostationary satellites. The effect of cloud parallax shift occurs in satellite imaging, particularly for high angles of satellite observations. Even at lesser angles, parallax displacement is an important consideration for many meteorological and other applications. Newer satellite instruments with finer spatial resolutions and improved georeferencing will maximize data usability at more extreme angles and require users to account for the accompanying enhanced parallax shift. The discussion of these cases will show how parallax is an apparent displacement that will vary depending on what satellites are used for observation, where the phenomenon is with respect to the satellite, and the height of the phenomenon being analyzed. Vincent from the differing perspectives of GOES16 and -17. The second case, on 9 April 2021, examines an eruption of the La Soufrière volcano on St. The first case is from 7 September 2021, in which northern Illinois hailstorms are examined using ground-based Level II NEXRAD radar data, GOES-16 ABI imagery, and Geostationary Lightning Mapper data. Parallax shift will be shown using two case studies. This article explores parallax displacement for both uniform and computed cloud-top heights. However, it can be challenging, especially at spatial resolutions around the cloud/storm scale. Users should understand the degree of this shift when combining GOES Advanced Baseline Imager (ABI) imagery with other data, such as radar and lightning. For Geostationary Operational Environmental Satellite (GOES) imagery, this shift is especially apparent away from the satellite subpoint. A parallax shift is a displacement in the apparent navigated position of a feature that arises because of its perspective from the viewing platform and is also a function of the feature height.
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