Parallax Shift in GOES ABI Data

Author:

Bernal Ayala Anthony C.1,Gerth Jordan J.2,Schmit Timothy J.3,Lindstrom Scott S.4,Nelson James P.4

Affiliation:

1. Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin National Weather Service Office of Observations, Silver Spring, Maryland

2. National Weather Service Office of Observations, Silver Spring, Maryland

3. NOAA/NESDIS Center for Satellite Applications and Research, Advanced Satellite Products Branch, Madison, Wisconsin

4. Cooperative Institute for Meteorological Satellite Studies (CIMSS), University of Wisconsin-Madison, Madison, Wisconsin

Abstract

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. For Geostationary Operational Environmental Satellite (GOES) imagery, this shift is especially apparent away from the satellite subpoint. Users should understand the degree of this shift when combining GOES Advanced Baseline Imager (ABI) imagery with other data, such as radar and lightning. However, it can be challenging, especially at spatial resolutions around the cloud/storm scale. This article explores parallax displacement for both uniform and computed cloud-top heights. Parallax shift will be shown using two case studies. 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. The second case, on 9 April 2021, examines an eruption of the La Soufrière volcano on St. Vincent from the differing perspectives of GOES16 and -17. 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. 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. Even at lesser angles, parallax displacement is an important consideration for many meteorological and other applications.

Publisher

National Weather Association

Subject

Management Science and Operations Research,Atmospheric Science,Computers in Earth Sciences

Reference16 articles.

1. American Meteorological Society (AMS), 2019: Glossary of Meteorology: Parallax. [Available online at glossary. ametsoc.org/wiki/Parallax.]

2. Bah, M. K., M. M. Gunshor, and T. J. Schmit, 2018: Generation of GOES-16 true color imagery without a green band. Earth Space Sci., 5, 549–558, CrossRef.

3. Bieliński, T., 2020: A parallax shift effect correction based on cloud height for geostationary satellites and radar observations. Remote Sens., 12, 365, CrossRef.

4. EWP Blog, 2015: Combining SRSO and radar data. [Available online at inside.nssl.noaa.gov/ewp/ 2015/06/11/combining-srso-and-radar-data/.]

5. Heidinger, A., and Li, Y., 2017: AWG cloud height algorithm (ACHA). NOAA NESDIS STAR Center for Satellite Applications and Research [Available online at www. sta r.nesdis.noaa.gov/goes r/documents/ATBDs/ Enterprise/ATBD_Enterprise_Cloud_Height_v3.1_ Mar2017.pdf.]

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