Cross Validation of TEMPEST-D and RainCube Observations Over Precipitation Systems Article Swipe
Chandrasekar Radhakrishnan
,
V. Chandrasekar
,
Steven C. Reising
,
Wesley Berg
,
Shannon Brown
,
Simone Tanelli
,
Ousmane O. Sy
,
Gian Franco Sacco
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2022.3199402
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2022.3199402
This article presents cross validation of nearly simultaneous observations between the Temporal Experiment for Storms and Tropical Systems-Demonstration (TEMPEST-D) and Radar in a CubeSat (RainCube) satellite microwave sensors over precipitation systems. RainCube senses the atmosphere using a Ka-band nadir-pointing radar, and TEMPEST-D senses using multifrequency millimeter-wave radiometers. Nine precipitation systems were used in this cross-validation study. Occurring over nearly a two-year period, these storms were scattered over many regions of the world from the Tropics to the midlatitudes. A shift correction algorithm was developed to remove the uncertainty between the two sensors’ observations due to the time difference and the storm motion between the two instrument overpasses. Correlation coefficients were calculated between self-normalized, inverted RainCube cumulative reflectivity and self-normalized TEMPEST-D brightness’ temperatures. As expected, these correlation coefficients are consistently higher for the four TEMPEST-D high-frequency channels than for the single low-frequency channel. The shift correction algorithm improved the average correlation coefficient by 19% for the four high-frequency channels and by 58% for the single low-frequency channel. The average correlation coefficient after shift correction is 0.76 for TEMPEST-Ds four high-frequency channels and 0.54 for the single low-frequency channel. The comparisons demonstrated high consistency between the TEMPEST-D and RainCube observations, even though the two microwave sensors’ fundamental physics is different; one is passive, and the other is active.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jstars.2022.3199402
- https://ieeexplore.ieee.org/ielx7/4609443/4609444/09860038.pdf
- OA Status
- gold
- Cited By
- 8
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4292259217
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4292259217Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/jstars.2022.3199402Digital Object Identifier
- Title
-
Cross Validation of TEMPEST-D and RainCube Observations Over Precipitation SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Chandrasekar Radhakrishnan, V. Chandrasekar, Steven C. Reising, Wesley Berg, Shannon Brown, Simone Tanelli, Ousmane O. Sy, Gian Franco SaccoList of authors in order
- Landing page
-
https://doi.org/10.1109/jstars.2022.3199402Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/4609443/4609444/09860038.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/4609443/4609444/09860038.pdfDirect OA link when available
- Concepts
-
Tempest, Correlation coefficient, Radiometer, Remote sensing, Nadir, Microwave, Physics, Radar, Brightness temperature, Meteorology, Environmental science, Optics, Satellite, Brightness, Geology, Computer science, Telecommunications, Mathematics, Statistics, Quantum mechanics, Astronomy, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2, 2023: 5Per-year citation counts (last 5 years)
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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