Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis data sets

Spatial and temporal variations in the level of dust activity can provide valuable information for policymaking and climate research. Recently, Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products have been successfully used for retrieving dust aerosol optical depth (DAOD), especia...

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Main Authors: Che, Yahui, Yu, Bofu, Bracco, Katherine
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-1710
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1710/
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spelling ftcopernicus:oai:publications.copernicus.org:egusphere113510 2024-06-23T07:45:00+00:00 Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis data sets Che, Yahui Yu, Bofu Bracco, Katherine 2024-04-08 application/pdf https://doi.org/10.5194/egusphere-2023-1710 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1710/ eng eng doi:10.5194/egusphere-2023-1710 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1710/ eISSN: Text 2024 ftcopernicus https://doi.org/10.5194/egusphere-2023-1710 2024-06-13T01:23:50Z Spatial and temporal variations in the level of dust activity can provide valuable information for policymaking and climate research. Recently, Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products have been successfully used for retrieving dust aerosol optical depth (DAOD), especially over bright dust source areas, and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) aerosol reanalysis provides DAOD and additionally other dust-aerosol-related parameters. In this study, spatial and temporal variations in dust activity in Australia were analyzed using MODIS and MERRA-2 combined (M&amp;M) DAOD and MERRA-2 near-surface dust concentrations and estimated PM 10 for the period 1980–2020. Validation results show that M&amp;M DAOD has an expected error of ± ( 0.016 + 0.15 τ ) <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="83pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="2538cbe72e568c427dc10f21f8db66bc"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-24-4105-2024-ie00001.svg" width="83pt" height="12pt" src="acp-24-4105-2024-ie00001.png"/> </svg:svg> compared to the ground observations at the AErosol RObotic NETwork (AERONET) dust storms on populated areas sites. MERRA-2 near-surface dust concentrations show a power-law relationship with visibility data collected at meteorological stations with an r 2 value from 0.18 to 0.44, and the estimated MERRA-2 PM 10 shows similar temporal variations and correlates with ground-based PM 10 data with an r 2 value from 0.14 to 0.44 at six selected stations in Australia. Moreover, MERRA-2 horizontal dust flux shows the same major dust pathways as those in previous studies and similar dust emissions and deposition areas identified using ground-based observations. Dust events based on DAOD over eastern Australia are concentrated in the north in December, are concentrated in the south in February, and can occur anywhere in January. Near-surface dust concentration ... Text Aerosol Robotic Network Copernicus Publications: E-Journals Merra ENVELOPE(12.615,12.615,65.816,65.816)
institution Open Polar
collection Copernicus Publications: E-Journals
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language English
description Spatial and temporal variations in the level of dust activity can provide valuable information for policymaking and climate research. Recently, Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products have been successfully used for retrieving dust aerosol optical depth (DAOD), especially over bright dust source areas, and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) aerosol reanalysis provides DAOD and additionally other dust-aerosol-related parameters. In this study, spatial and temporal variations in dust activity in Australia were analyzed using MODIS and MERRA-2 combined (M&amp;M) DAOD and MERRA-2 near-surface dust concentrations and estimated PM 10 for the period 1980–2020. Validation results show that M&amp;M DAOD has an expected error of ± ( 0.016 + 0.15 τ ) <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="83pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="2538cbe72e568c427dc10f21f8db66bc"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-24-4105-2024-ie00001.svg" width="83pt" height="12pt" src="acp-24-4105-2024-ie00001.png"/> </svg:svg> compared to the ground observations at the AErosol RObotic NETwork (AERONET) dust storms on populated areas sites. MERRA-2 near-surface dust concentrations show a power-law relationship with visibility data collected at meteorological stations with an r 2 value from 0.18 to 0.44, and the estimated MERRA-2 PM 10 shows similar temporal variations and correlates with ground-based PM 10 data with an r 2 value from 0.14 to 0.44 at six selected stations in Australia. Moreover, MERRA-2 horizontal dust flux shows the same major dust pathways as those in previous studies and similar dust emissions and deposition areas identified using ground-based observations. Dust events based on DAOD over eastern Australia are concentrated in the north in December, are concentrated in the south in February, and can occur anywhere in January. Near-surface dust concentration ...
format Text
author Che, Yahui
Yu, Bofu
Bracco, Katherine
spellingShingle Che, Yahui
Yu, Bofu
Bracco, Katherine
Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis data sets
author_facet Che, Yahui
Yu, Bofu
Bracco, Katherine
author_sort Che, Yahui
title Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis data sets
title_short Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis data sets
title_full Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis data sets
title_fullStr Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis data sets
title_full_unstemmed Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis data sets
title_sort temporal and spatial variations in dust activity in australia based on remote sensing and reanalysis data sets
publishDate 2024
url https://doi.org/10.5194/egusphere-2023-1710
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1710/
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
geographic Merra
geographic_facet Merra
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source eISSN:
op_relation doi:10.5194/egusphere-2023-1710
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1710/
op_doi https://doi.org/10.5194/egusphere-2023-1710
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