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Cited by 26Atmospheric aerosols and cloudsAtmospheric chemistry and aerosolsCalibration and Measurement Techniques

An infrared desert dust index for the Along-Track Scanning Radiometers

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Good, E.J., Kong, X., Embury, O., Merchant, C.J., Remedios, J.J.·2012·Remote Sensing of Environment
DOI 10.1016/j.rse.2010.06.016
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Abstract

A new aerosol index for the Along-Track Scanning Radiometers (ATSRs) is presented that provides a means to detect desert dust contamination in infrared SST retrievals. The ATSR Saharan dust index (ASDI) utilises only the thermal infrared channels and may therefore be applied consistently to the entire ATSR data record (1991 to present), for both day time and night time observations. The derivation of the ASDI is based on a principal component (PC) analysis (PCA) of two unique pairs of channel brightness temperature differences (BTDs). In 2-D space (i.e. BTD vs BTD), it is found that the loci of data unaffected by aerosol are confined to a single axis of variability. In contrast, the loci of aerosol-contaminated data fall off-axis, shifting in a direction that is approximately orthogonal to the clear-sky axis. The ASDI is therefore defined to be the second PC, where the first PC accounts for the clear-sky variability. The primary ASDI utilises the ATSR nadir and forward-view observations at 11 and 12 μm (ASDI2). A secondary, three-channel nadir-only ASDI (ASDI3) is also defined for situations where data from the forward view are not available. Empirical and theoretical analyses suggest that ASDI is well correlated with aerosol optical depth (AOD: correlation r is typically > 0.7) and provides an effective tool for detecting desert mineral dust. Overall, ASDI2 is found to be more effective than ASDI3, with the latter being sensitive only to very high dust loading. In addition, use of ASDI3 is confined to night time observations as it relies on data from the 3.7 μm channel, which is sensitive to reflected solar radiation. This highlights the benefits of having data from both a nadir- and a forward-view for this particular approach to aerosol detection.

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  • Quality level 5 is attributed only for high clear-sky probability and for conditions of low aerosol (assessed by a desert dust index) or where steps to adjust for aerosol are taken.

    “therefore the quality level 5 is attributed only for high clear-sky probability and for conditions of low aerosol (assessed by a desert dust index42,43) or where steps to adjust for aerosol are taken (the case for the volcanic stratospheric aerosol events).”

    From Satellite-based time-series of sea-surface temperature since 1981 for climate applications (2019) · cites this paper as [43]

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Cited by

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Authors
Good, E. J., Kong, X., Embury, O., Merchant, C. J., & Remedios, J. J.
Affiliations
  • University of Leicester (GB)
  • University of Edinburgh (GB)
Corresponding author
Good, E.J.
ORCID
Venue
Remote Sensing of Environment
Publisher
Elsevier BV
Published
2012-01
Volume
116
Pages
159-176
ISSN
0034-4257 (ISSN-L)
DOI
10.1016/j.rse.2010.06.016
OpenAlex
W1991271304
Cited by
26
References
0
Citations by year
2024: 3 · 2023: 1 · 2020: 3 · 2019: 4 · 2018: 1 · 2017: 2 · 2015: 1 · 2014: 3 · 2013: 3 · 2012: 2
FWCI
3.01
Type
journal article
Language
en
Open access
Licence
Locations
  • Remote Sensing of Environment (publishedVersion, cc-by)
  • Leicester Research Archive (University of Leicester) (submittedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
  • University of Hertfordshire Research Archive (University of Hertfordshire) (submittedVersion, cc-by)
Funders
  • UK's Natural Environment Research Council (NERC)
  • Ministry of Defence
  • Department of Environment, Food and Rural Affairs/Department of Energy and Climate Change (DECC)
  • Joint DECC, Defra and MoD Integrated Climate Programme (GA01101, CBC/2B/0417_Annex C5)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
Keywords
ATSR, aerosol contamination, brightness temperature difference, principal component analysis, aerosol optical depth, thermal infrared channels

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