Assessment of atmospheric aerosols from two reanalysis products over Australia
Assessments of atmospheric aerosols from reanalysis are important for understanding uncertainty in model simulations, and ultimately predictions, such as for solar power or air quality forecasts and assessments. This study intercompares total aerosol optical depth (AOD) and dust AOD (DAOD) from two...
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ftunswworks:oai:unsworks.library.unsw.edu.au:1959.4/unsworks_52194 2024-05-19T07:27:34+00:00 Assessment of atmospheric aerosols from two reanalysis products over Australia Mukkavilli, SK Prasad, AA Taylor, RA Huang, J Mitchell, RM Troccoli, A Kay, MJ 2018-09-05 application/pdf http://hdl.handle.net/1959.4/unsworks_52194 https://unsworks.unsw.edu.au/bitstreams/60b65ff5-cfde-4332-a6fe-43feb0bd9299/download https://doi.org/10.1016/j.atmosres.2018.08.026 unknown Elsevier http://hdl.handle.net/1959.4/unsworks_52194 https://unsworks.unsw.edu.au/bitstreams/60b65ff5-cfde-4332-a6fe-43feb0bd9299/download https://doi.org/10.1016/j.atmosres.2018.08.026 open access https://purl.org/coar/access_right/c_abf2 CC-BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/ free_to_read urn:ISSN:0169-8095 urn:ISSN:1873-2895 Atmospheric Research, 215, 149-164 13 Climate Action anzsrc-for: 0299 Other Physical Sciences anzsrc-for: 0401 Atmospheric Sciences journal article http://purl.org/coar/resource_type/c_6501 2018 ftunswworks https://doi.org/10.1016/j.atmosres.2018.08.026 2024-05-01T00:11:20Z Assessments of atmospheric aerosols from reanalysis are important for understanding uncertainty in model simulations, and ultimately predictions, such as for solar power or air quality forecasts and assessments. This study intercompares total aerosol optical depth (AOD) and dust AOD (DAOD) from two global reanalyses datasets, the European Centre for Medium-Range Weather Forecasts (ECMWF) Monitoring Atmospheric Composition and Climate (MACC) and the NASA Modern-Era Retrospective Analysis for Research-2 (MERRA-2). These are evaluated against AeroSpan (Aerosol characterisation via Sun photometry: Australian Network) ground observations which forms part of the Aerosol Robotic Network (AERONET) over the Australian continent for the 2002–2012 period. During dust storms, AeroSpan/AERONET AOD measurements were missing due to cloud screening. To overcome validation limitations in sun photometry for dust events, a nephelometer's scattering coefficient is qualitatively compared against reanalysis of DAOD at a key dust storm activation site, Tinga Tingana in South Australia (~200 km east of Lake Eyre). A specific extreme event that occurred in 2009 originating from the Lake Eyre basin, a major dust source covering one-sixth of Australia, was studied. The results show that MERRA-2 reanalysis overestimates monthly total AOD twice as much compared to AeroSpan/AERONET ground observations but seems better correlated against AeroSpan/AERONET than ECMWF/MACC. Mean data of MERRA-2 time series over 10 years provide lower DAOD values and lower dust aerosol estimates than ECMWF/MACC reanalysis (over the Lake Eyre basin with spatial averaging). Specifically at Tinga Tingana, the correlation from MERRA-2 (0.45 correlation) and ECMWF/MACC (0.43 correlation) against AeroSpan/AERONET's AOD were similar. Between MERRA-2 and ECMWF/MACC decade long daily gridded DAOD, the correlation coefficient was high at 0.73, again indicating similarity between the datasets. MERRA-2 total AOD correlation is significantly higher (by 0.26) against ... Article in Journal/Newspaper Aerosol Robotic Network UNSW Sydney (The University of New South Wales): UNSWorks Atmospheric Research 215 149 164 |
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Open Polar |
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UNSW Sydney (The University of New South Wales): UNSWorks |
op_collection_id |
ftunswworks |
language |
unknown |
topic |
13 Climate Action anzsrc-for: 0299 Other Physical Sciences anzsrc-for: 0401 Atmospheric Sciences |
spellingShingle |
13 Climate Action anzsrc-for: 0299 Other Physical Sciences anzsrc-for: 0401 Atmospheric Sciences Mukkavilli, SK Prasad, AA Taylor, RA Huang, J Mitchell, RM Troccoli, A Kay, MJ Assessment of atmospheric aerosols from two reanalysis products over Australia |
topic_facet |
13 Climate Action anzsrc-for: 0299 Other Physical Sciences anzsrc-for: 0401 Atmospheric Sciences |
description |
Assessments of atmospheric aerosols from reanalysis are important for understanding uncertainty in model simulations, and ultimately predictions, such as for solar power or air quality forecasts and assessments. This study intercompares total aerosol optical depth (AOD) and dust AOD (DAOD) from two global reanalyses datasets, the European Centre for Medium-Range Weather Forecasts (ECMWF) Monitoring Atmospheric Composition and Climate (MACC) and the NASA Modern-Era Retrospective Analysis for Research-2 (MERRA-2). These are evaluated against AeroSpan (Aerosol characterisation via Sun photometry: Australian Network) ground observations which forms part of the Aerosol Robotic Network (AERONET) over the Australian continent for the 2002–2012 period. During dust storms, AeroSpan/AERONET AOD measurements were missing due to cloud screening. To overcome validation limitations in sun photometry for dust events, a nephelometer's scattering coefficient is qualitatively compared against reanalysis of DAOD at a key dust storm activation site, Tinga Tingana in South Australia (~200 km east of Lake Eyre). A specific extreme event that occurred in 2009 originating from the Lake Eyre basin, a major dust source covering one-sixth of Australia, was studied. The results show that MERRA-2 reanalysis overestimates monthly total AOD twice as much compared to AeroSpan/AERONET ground observations but seems better correlated against AeroSpan/AERONET than ECMWF/MACC. Mean data of MERRA-2 time series over 10 years provide lower DAOD values and lower dust aerosol estimates than ECMWF/MACC reanalysis (over the Lake Eyre basin with spatial averaging). Specifically at Tinga Tingana, the correlation from MERRA-2 (0.45 correlation) and ECMWF/MACC (0.43 correlation) against AeroSpan/AERONET's AOD were similar. Between MERRA-2 and ECMWF/MACC decade long daily gridded DAOD, the correlation coefficient was high at 0.73, again indicating similarity between the datasets. MERRA-2 total AOD correlation is significantly higher (by 0.26) against ... |
format |
Article in Journal/Newspaper |
author |
Mukkavilli, SK Prasad, AA Taylor, RA Huang, J Mitchell, RM Troccoli, A Kay, MJ |
author_facet |
Mukkavilli, SK Prasad, AA Taylor, RA Huang, J Mitchell, RM Troccoli, A Kay, MJ |
author_sort |
Mukkavilli, SK |
title |
Assessment of atmospheric aerosols from two reanalysis products over Australia |
title_short |
Assessment of atmospheric aerosols from two reanalysis products over Australia |
title_full |
Assessment of atmospheric aerosols from two reanalysis products over Australia |
title_fullStr |
Assessment of atmospheric aerosols from two reanalysis products over Australia |
title_full_unstemmed |
Assessment of atmospheric aerosols from two reanalysis products over Australia |
title_sort |
assessment of atmospheric aerosols from two reanalysis products over australia |
publisher |
Elsevier |
publishDate |
2018 |
url |
http://hdl.handle.net/1959.4/unsworks_52194 https://unsworks.unsw.edu.au/bitstreams/60b65ff5-cfde-4332-a6fe-43feb0bd9299/download https://doi.org/10.1016/j.atmosres.2018.08.026 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
urn:ISSN:0169-8095 urn:ISSN:1873-2895 Atmospheric Research, 215, 149-164 |
op_relation |
http://hdl.handle.net/1959.4/unsworks_52194 https://unsworks.unsw.edu.au/bitstreams/60b65ff5-cfde-4332-a6fe-43feb0bd9299/download https://doi.org/10.1016/j.atmosres.2018.08.026 |
op_rights |
open access https://purl.org/coar/access_right/c_abf2 CC-BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/ free_to_read |
op_doi |
https://doi.org/10.1016/j.atmosres.2018.08.026 |
container_title |
Atmospheric Research |
container_volume |
215 |
container_start_page |
149 |
op_container_end_page |
164 |
_version_ |
1799481397896806400 |