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Article

New Reprocessing towards Life-Time Quality-Consistent Suomi NPP OMPS Nadir Sensor Data Records (SDR): Calibration Improvements and Impact Assessments on Long-Term Quality Stability of OMPS SDR Data Sets

1
Center for Satellite Applications and Research, NOAA/NESDIS, College Park, MD 20740, USA
2
ESSIC/CISESS, University of Maryland, College Park, MD 20740, USA
3
Global Science and Technology, College Park, MD 20740, USA
4
Science Systems and Applications, Inc., Lanham, MD 20706, USA
5
Joint Polar Satellite System, NOAA/NESDIS, Lanham, MD 20706, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Panagiotis Kosmopoulos
Remote Sens. 2022, 14(13), 3125; https://doi.org/10.3390/rs14133125
Received: 25 April 2022 / Revised: 19 June 2022 / Accepted: 20 June 2022 / Published: 29 June 2022
(This article belongs to the Section Satellite Missions for Earth and Planetary Exploration)
The Nadir Mapper (NM) and Nadir Profiler (NP) within the Ozone Mapping and Profiler Suites (OMPS) are ultraviolet spectrometers to measure Earth radiance and Solar irradiance spectra from 300–380 nm and 250–310 nm, respectively. The OMPS NM and NP instruments flying on the Suomi-NPP (SNPP) satellite have provided over ten years of operational Sensor Data Records (SDRs) data sets to support a variety of OMPS Environmental Data Record (EDR) applications. However, the discrepancies of quality remain in the operational OMPS SDR data prior to 28 June 2021 due to changes in calibration algorithms associated with the calibration coefficient look-up tables (LUTs) during this period. In this study, we present results for the newly (v2) reprocessed SNPP OMPS NM and NP SDR data prior to 30 June 2021, which uses consistent calibration tables with improved accuracy. Compared with a previous (v1) reprocessing, this new reprocessing includes the improvements associated with the following updated tables or error correction: an updated stray light correction table for the NM, an off-nadir geolocation error correction for the NM, an artificial offset error correction in the NM dark processing code, and biweekly solar wavelength LUTs for the NP. This study further analyzes the impact of each improvement on the quality of the OMPS SDR data by taking advantage of the existing OMPS SDR calibration/validation studies. Finally, this study compares the v2 reprocessed OMPS data sets with the operational and the v1 reprocessed data sets. The results demonstrate that the new reprocessing significantly improves the accuracy and consistency of the life-time SNPP OMPS NM and NP SDR data sets. It also advances the uniformity of the data over the dichroic range from 300 to 310 nm between the NM and NP. The normalized radiance differences at the same wavelength between the NM and NP observations are reduced from 0.001 order (v1 reprocessing) or 0.01 order (operational processing) to 0.001 order or smaller. The v2 reprocessed data are archived in the NOAA CLASS data center with the same format as the operational data. View Full-Text
Keywords: Suomi NPP Satellite; OMPS Nadir; Sensor Data Record (SDR); reprocessing; radiometric calibration; wavelength stability; geolocation; solar flux Suomi NPP Satellite; OMPS Nadir; Sensor Data Record (SDR); reprocessing; radiometric calibration; wavelength stability; geolocation; solar flux
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MDPI and ACS Style

Yan, B.; Pan, C.; Beck, T.; Jin, X.; Wang, L.; Liang, D.; Flynn, L.; Chen, J.; Huang, J.; Buckner, S.; Zou, C.-Z.; Sun, N.; Lin, L.; Young, A.; Zhou, L.; Hao, W. New Reprocessing towards Life-Time Quality-Consistent Suomi NPP OMPS Nadir Sensor Data Records (SDR): Calibration Improvements and Impact Assessments on Long-Term Quality Stability of OMPS SDR Data Sets. Remote Sens. 2022, 14, 3125. https://doi.org/10.3390/rs14133125

AMA Style

Yan B, Pan C, Beck T, Jin X, Wang L, Liang D, Flynn L, Chen J, Huang J, Buckner S, Zou C-Z, Sun N, Lin L, Young A, Zhou L, Hao W. New Reprocessing towards Life-Time Quality-Consistent Suomi NPP OMPS Nadir Sensor Data Records (SDR): Calibration Improvements and Impact Assessments on Long-Term Quality Stability of OMPS SDR Data Sets. Remote Sensing. 2022; 14(13):3125. https://doi.org/10.3390/rs14133125

Chicago/Turabian Style

Yan, Banghua, Chunhui Pan, Trevor Beck, Xin Jin, Likun Wang, Ding Liang, Lawrence Flynn, Junye Chen, Jingfeng Huang, Steven Buckner, Cheng-Zhi Zou, Ninghai Sun, Lin Lin, Alisa Young, Lihang Zhou, and Wei Hao. 2022. "New Reprocessing towards Life-Time Quality-Consistent Suomi NPP OMPS Nadir Sensor Data Records (SDR): Calibration Improvements and Impact Assessments on Long-Term Quality Stability of OMPS SDR Data Sets" Remote Sensing 14, no. 13: 3125. https://doi.org/10.3390/rs14133125

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