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  • 1
    Publication Date: 2023-01-30
    Description: The AR "dust score" characterizes the dustiness of the environment associated with ARs that made landfall along the west coast of the U.S. between 2001 and 2018 using satellite-based observations. The AR dust score is calculated from the average of dust aerosol optical depth within the horizontal boundaries of the landfalling AR, as defined by the Rutz AR catalogue. This dataset has been used to investigate how often dust is present in the surroundings of ARs along the U.S. west coast, as dust can impact cloud microphysics and precipitation from these storms. Further information describing the calculation of an AR dust score can be found in Voss et al. (2020) (doi:10.1175/JCLI-D-20-0059.1).
    Keywords: aerosol; atmospheric river; DATE/TIME; Defined by the Rutz AR catalogue; dust; dust score; Dust score; Pixels within atmospheric rivers feature
    Type: Dataset
    Format: text/tab-separated-values, 13140 data points
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  • 2
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    PANGAEA
    In:  Supplement to: Voss, Kara K; Evan, Amato T (2019): A new satellite-based global climatology of dust aerosol optical depth. Journal of Applied Meteorology and Climatology, https://doi.org/10.1175/JAMC-D-19-0194.1
    Publication Date: 2023-01-30
    Description: Dust Aerosol Optical Depth deprived from the MODIS sensor on the Terra satellite platform at 1 degree latitude x 1 degree longitude spatial resolution between 45 south and 50 north.
    Keywords: aerosol; dust; Dust Aerosol Optical Depth; File format; File name; File size; satellite; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 140 data points
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  • 3
    Publication Date: 2020-05-15
    Description: Atmospheric Rivers (AR) are narrow bands of strong horizontal transport of water vapor in the mid-latitudes that can cause extreme precipitation, which contributes to beneficial water supply and sometimes flooding. The precipitation productivity of an AR is affected by microphysical processes, including the influence of aerosols. Earlier case studies have shown that some ARs over the North Pacific contain dust from Africa and Asia that can strongly influence precipitation by acting as ice nuclei. This paper explores how commonly dust and ARs occur together, or in close proximity. A “dust score” is introduced to characterize the dustiness of the environment associated with ARs using satellite-based observations. This method is applied to days on which one or more ARs made landfall along the west coast of the U.S. between 2001 and 2018. The dust score is used to describe the seasonality and year-to-year variability of dusty-environment ARs. Dusty ARs occur primarily in the early spring (March-April) and dust is preferentially found within the cold sector of AR-associated extra-tropical cyclones. Year-to-year variability in dust score is dependent more on year-to-year variability in dust than on the frequency of AR days. This year-to-year variability is also strongly related to correlations between the frequency of ARs and the dustiness of the northeastern Pacific, motivating additional investigation into potential dynamical association between dust and ARs.
    Print ISSN: 0894-8755
    Electronic ISSN: 1520-0442
    Topics: Geography , Geosciences , Physics
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  • 4
    Publication Date: 2020-06-29
    Electronic ISSN: 2398-9629
    Topics: Biology
    Published by Springer Nature
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  • 5
    Publication Date: 2020-01-01
    Description: By mass, dust is the largest contributor to global aerosol burden, yet long-term observational records of dust, particularly over the ocean, are limited. Here, two nearly global observational datasets of dust aerosol optical depth τd are created primarily on the basis of optical measurements of the aerosol column from 1) the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra satellite spanning from 2001 to 2018 and 2) the Advanced Very High Resolution Radiometer (AVHRR) from 1981 to 2018. The quality of the new data is assessed by comparison with existing dust datasets that are spatially more limited. Between 2001 and 2018, τd decreased over Asia and increased significantly over the Sahara, Middle East, and parts of eastern Europe, with the largest increase found over the Aral Sea where emissive playa surfaces have been exposed. These daily, observational, and nearly global records of dust will allow for improvement in understanding the role of dust in climate variability.
    Print ISSN: 1558-8424
    Electronic ISSN: 1558-8432
    Topics: Geography , Physics
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