Articles | Volume 12, issue 9
Atmos. Meas. Tech., 12, 4983–4992, 2019
Atmos. Meas. Tech., 12, 4983–4992, 2019

Research article 16 Sep 2019

Research article | 16 Sep 2019

A study of a two-dimensional scanned lunar image for Advanced Technology Microwave Sounder (ATMS) geometric calibration

Jun Zhou and Hu Yang

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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
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Cited articles

Baker, N.: Joint Polar Satellite System (JPPS) VIIRS Geolocation Algorithm Theoretical Basis Document (ATBD), document, Goddard Space Flight Center, Greenbelt, MD, USA, July, 2011. a
Bennartz, R.: On the use of SSM/I measurements in coastal regions, J. Atmos. Ocean. Tech., 16, 417–432, 1999. a
Bonsignori, R.: In-orbit verification of microwave humidity sounder spectral channels coregistration using the moon, Applied Remote Sensing, 12, 025013,, 2018. a, b
Burgdorf, M., Buehler, S. A., Lang, T., Michel, S., and Hans, I.: The Moon as a photometric calibration standard for microwave sensors, Atmos. Meas. Tech., 9, 3467–3475,, 2016. a
Currey, J. C.: Geolocation assessment algorithm for CALIPSO using coastline detection, Nat. Aeronaut. Space Admin. (NASA) Langley Res. Center, Hampton, VA, USA, Tech. Rep. NASA/TP-2002-211956, 1–27, 2002. a
Short summary
Evaluating the on-orbit geolocation accuracy of the ATMS is of great importance. The widely used Earth-target-dependent methods are crippled by the strong atmospheric absorption at sounding channels and cloud contamination at window channels. To solve these issues, this study developed a geolocation evaluation algorithm based on a unique 2-D lunar scan dataset captured by the ATMS during a NOAA-20 pitch-over maneuver operation. The results are validated by the coastline inflection point method.