Cross-calibration of S-NPP VIIRS moderate-resolution reflective solar bands against MODIS Aqua over dark water scenes
The Visible Infrared Imaging Radiometer Suite (VIIRS) is being used to continue the record of Earth Science observations and data products produced routinely from National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) measurements. However, the abs...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2017-04-01
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Series: | Atmospheric Measurement Techniques |
Online Access: | http://www.atmos-meas-tech.net/10/1425/2017/amt-10-1425-2017.pdf |
Summary: | The Visible Infrared Imaging Radiometer Suite (VIIRS) is being used to
continue the record of Earth Science observations and data products produced
routinely from National Aeronautics and Space Administration (NASA) Moderate
Resolution Imaging Spectroradiometer (MODIS) measurements. However, the
absolute calibration of VIIRS's reflected solar bands is thought to be
biased, leading to offsets in derived data products such as aerosol optical
depth (AOD) as compared to when similar algorithms are applied to different
sensors. This study presents a cross-calibration of these VIIRS bands against
MODIS Aqua over dark water scenes, finding corrections to the NASA VIIRS
Level 1 (version 2) reflectances between approximately +1 and −7 %
(dependent on band) are needed to bring the two into alignment (after
accounting for expected differences resulting from different band spectral
response functions), and indications of relative trending of up to
∼ 0.35 % per year in some bands. The derived calibration gain
corrections are also applied to the VIIRS reflectance and then used in an AOD
retrieval, and they are shown to decrease the bias and total error in AOD across
the mid-visible spectral region compared to the standard VIIRS NASA
reflectance calibration. The resulting AOD bias characteristics are similar
to those of NASA MODIS AOD data products, which is encouraging in terms of
multi-sensor data continuity. |
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ISSN: | 1867-1381 1867-8548 |