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Article

A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing

1
School of Natural Resources, University of Missouri, Columbia, MO 65211, USA
2
Environmental Science and Technology Center, George Mason University, Fairfax, VA 22030, USA
3
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
4
NOAA Center for Satellite Applications and Research, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(6), 1036; https://doi.org/10.3390/rs17061036
Submission received: 31 December 2024 / Revised: 5 March 2025 / Accepted: 12 March 2025 / Published: 15 March 2025
(This article belongs to the Special Issue Satellite-Based Climate Change and Sustainability Studies)

Abstract

The Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite has been continuously providing global environmental data records (EDRs) for more than one decade since its launch in 2011. Recently, the VIIRS EDRs of cloud features have been reprocessed using unified and consistent algorithm for selected periods to minimize or remove the inconsistencies due to different versions of retrieval algorithms as well as input VIIRS sensor data records (SDRs) adopted by different periods of operational EDRs. This study conducts the first simultaneous quality and accuracy assessment of reprocessed Cloud Top Height (CTH) and Cloud Base Height (CBH) products against both the operational VIIRS EDRs and corresponding cloud height measurements from the active sensors of NASA’s CloudSat-CALIPSO system. In general, the reprocessed CTH and CBH EDRs show strong similarities and correlations with CloudSat-CALIPSOs, with coefficients of determination (R2) reaching 0.82 and 0.77, respectively. Additionally, the reprocessed VIIRS cloud height products demonstrate significant improvements in retrieving high-altitude clouds and in sensitivity to cloud height dynamics. It outperforms the operational product in capturing very high CTHs exceeding 15 km and exhibits CBH probability patterns more closely aligned with CloudSat-CALIPSO measurements. This preliminary assessment enhances data applicability of remote sensing products for atmospheric and climate research, allowing for more accurate cloud measurements and advancing environmental monitoring efforts.
Keywords: reprocessing; VIIRS; environmental data record; cloud top height; cloud base height reprocessing; VIIRS; environmental data record; cloud top height; cloud base height

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MDPI and ACS Style

Liu, Q.; Hao, X.; Zou, C.-Z.; Wang, L.; Qu, J.J.; Yan, B. A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing. Remote Sens. 2025, 17, 1036. https://doi.org/10.3390/rs17061036

AMA Style

Liu Q, Hao X, Zou C-Z, Wang L, Qu JJ, Yan B. A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing. Remote Sensing. 2025; 17(6):1036. https://doi.org/10.3390/rs17061036

Chicago/Turabian Style

Liu, Qian, Xianjun Hao, Cheng-Zhi Zou, Likun Wang, John J. Qu, and Banghua Yan. 2025. "A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing" Remote Sensing 17, no. 6: 1036. https://doi.org/10.3390/rs17061036

APA Style

Liu, Q., Hao, X., Zou, C.-Z., Wang, L., Qu, J. J., & Yan, B. (2025). A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing. Remote Sensing, 17(6), 1036. https://doi.org/10.3390/rs17061036

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