Correcting Calibration Drifts Using Solar and Lunar Intrusions for Miniaturized Microwave Radiometers
Name
FINAL VERSION.pdf
Description
Accepted version
Size
1.2 MB
Format
Adobe PDF
Checksum (MD5)
a4f4a6333066d087a0370510614a2438
Author(s)
Crews, Angela
Blackwell, William J
Leslie, Robert Vincent
Grant, Michael
Yang, Hu
Cahoy, Kerri
Date Issued
February 2021
Journal
IEEE Transactions on Geoscience and Remote Sensing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Crews, Angela et al. "Correcting Calibration Drifts Using Solar and Lunar Intrusions for Miniaturized Microwave Radiometers." IEEE Transactions on Geoscience and Remote Sensing (February 2021): 1-14.
Version
Author's final manuscript
Abstract
IEEE CubeSats with miniaturized microwave radiometers are now demonstrating the potential to provide science-quality weather measurements. For example, the Micro-Sized Microwave Atmospheric Satellite-2A (MicroMAS-2A) and Temporal Experiment for Storms and Tropical Systems-Demonstration (TEMPEST-D) CubeSats are both launched in 2018 and have demonstrated microwave atmospheric sounder data from orbit. The NASA Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) mission is a follow-on constellation of six 3U CubeSats based on the MicroMAS-2 design that is scheduled for launch no sooner than 2021. The TROPICS sensors use internal noise diodes (NDs) for calibration. Although the NDs on TROPICS are similar to technology flown on GMI, they have not been tested on-orbit at TROPICS frequencies. In order to track and correct ND drift, we develop a novel method of calibration for CubeSat constellations, such as TROPICS, by incorporating periodic solar and lunar intrusions as an additional source of information to counter ND drift. These lunar intrusions also occur for existing satellites hosting microwave radiometers in sun-synchronous polar orbits but are much more infrequent than for the TROPICS constellation's scanning payload. In this work, we develop a solar/lunar calibration correction algorithm and test it using advanced technology microwave sounder (ATMS) lunar intrusion data. The mean bias and standard deviation between the solar/lunar calibration correction algorithm and actual ATMS data fall within the expected ATMS error budget of 0.6-3.9 K, validating our model.
MIT Department
Lincoln Laboratory
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/tgrs.2021.3059698
