A New 32-Day Average-Difference Method for Calculating Inter-Sensor Calibration Radiometric Biases between SNPP and NOAA-20 Instruments within ICVS Framework

Yan, Banghua; Goldberg, Mitch; Jin, Xin; Liang, Ding; Huang, Jingfeng; Porter, Warren; Sun, Ninghai; Zhou, Lihang; Pan, Chunhui; Iturbide-Sanchez, Flavio; Liu, Quanhua; Zhang, Kun

doi:10.3390/rs13163079

i

A New 32-Day Average-Difference Method for Calculating Inter-Sensor Calibration Radiometric Biases between SNPP and NOAA-20 Instruments within ICVS Framework

2021
By Yan, Banghua ; Goldberg, Mitch ; Jin, Xin ; ...

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Journal Title:

Remote Sensing
Personal Author:

Yan, Banghua ; Goldberg, Mitch ; Jin, Xin ; Liang, Ding ; Huang, Jingfeng ; Porter, Warren ; Sun, Ninghai ; Zhou, Lihang ; Pan, Chunhui ; Iturbide-Sanchez, Flavio ; Liu, Quanhua ; Zhang, Kun
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; JPSS (Joint Polar Satellite System Program Office)
Description:

Two existing double-difference (DD) methods, using either a 3rdSensor or Radiative Transfer Modeling (RTM) as a transfer, are applicable primarily for limited regions and channels, and, thus critical in capturing inter-sensor calibration radiometric bias features. A supplementary method is also desirable for estimating inter-sensor calibration biases at the window and lower sounding channels where the DD methods have non-negligible errors. In this study, using the Suomi National Polar-orbiting Partnership (SNPP) and Joint Polar Satellite System (JPSS)-1 (alias NOAA-20) as an example, we present a new inter-sensor bias statistical method by calculating 32-day averaged differences (32D-AD) of radiometric measurements between the same instrument onboard two satellites.
Keywords:

32-day-averaged Differences ATMS CrIS Globally-averaged Inter-sensor Calibration Radiometric Biases OMPS NP Instruments Polar Operational Environmental Satellites (POES) Solar Intrusion Anomaly VIIRS Zonally-averaged Inter-sensor Calibration Radiometric Biases
Source:

Remote Sens. 2021, 13(16), 3079
DOI:

https://doi.org/10.3390/rs13163079
Document Type:

Journal Article
Rights Information:

CC BY
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Submitted
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