Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey
This study validated MODIS (Moderate Resolution Imaging Spectroradiometer) of the National Aeronautics and Space Agency, USA, Aqua and Terra Collection 6.1, and MERRA-2 (Modern-ERA Retrospective Analysis for Research and Application) Version 2 of aerosol optical depth (AOD) at 550 nm against AERONET...
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ftdoajarticles:oai:doaj.org/article:45fbb5540296425daa9d8ba848a18c31 2023-05-15T13:06:13+02:00 Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey Midyan Aldabash Filiz Bektas Balcik Paul Glantz 2020-08-01T00:00:00Z https://doi.org/10.3390/atmos11090905 https://doaj.org/article/45fbb5540296425daa9d8ba848a18c31 EN eng MDPI AG https://www.mdpi.com/2073-4433/11/9/905 https://doaj.org/toc/2073-4433 doi:10.3390/atmos11090905 2073-4433 https://doaj.org/article/45fbb5540296425daa9d8ba848a18c31 Atmosphere, Vol 11, Iss 905, p 905 (2020) aerosol optical depth MODIS Terra-Aqua MERRA-2 RH% AERONET validation Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.3390/atmos11090905 2022-12-31T01:56:30Z This study validated MODIS (Moderate Resolution Imaging Spectroradiometer) of the National Aeronautics and Space Agency, USA, Aqua and Terra Collection 6.1, and MERRA-2 (Modern-ERA Retrospective Analysis for Research and Application) Version 2 of aerosol optical depth (AOD) at 550 nm against AERONET (Aerosol Robotic Network) ground-based sunphotometer observations over Turkey. AERONET AOD data were collected from three sites during the period between 2013 and 2017. Regression analysis showed that overall, seasonally and daily statistics of MODIS are better than MERRA-2 by the mean of coefficient of determination (R 2 ), mean absolute error (MAE), and relative root mean square deviation (RMSD rel ). MODIS combined Terra/Aqua AOD and MERRA-2 AOD corresponding to morning and noon hours resulted in better results than individual sub datasets. A clear annual cycle in AOD was detected by the three platforms. However, overall, MODIS and MERRA-2 tend to overestimate and underestimate AOD, respectively, in comparison with AERONET. MODIS showed higher efficiency in detecting extreme events than MERRA-2. There was no clear relation found between the accuracy in MODIS/MERRA-2 AOD and surface relative humidity (RH). Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Merra ENVELOPE(12.615,12.615,65.816,65.816) Atmosphere 11 9 905 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
aerosol optical depth MODIS Terra-Aqua MERRA-2 RH% AERONET validation Meteorology. Climatology QC851-999 |
spellingShingle |
aerosol optical depth MODIS Terra-Aqua MERRA-2 RH% AERONET validation Meteorology. Climatology QC851-999 Midyan Aldabash Filiz Bektas Balcik Paul Glantz Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey |
topic_facet |
aerosol optical depth MODIS Terra-Aqua MERRA-2 RH% AERONET validation Meteorology. Climatology QC851-999 |
description |
This study validated MODIS (Moderate Resolution Imaging Spectroradiometer) of the National Aeronautics and Space Agency, USA, Aqua and Terra Collection 6.1, and MERRA-2 (Modern-ERA Retrospective Analysis for Research and Application) Version 2 of aerosol optical depth (AOD) at 550 nm against AERONET (Aerosol Robotic Network) ground-based sunphotometer observations over Turkey. AERONET AOD data were collected from three sites during the period between 2013 and 2017. Regression analysis showed that overall, seasonally and daily statistics of MODIS are better than MERRA-2 by the mean of coefficient of determination (R 2 ), mean absolute error (MAE), and relative root mean square deviation (RMSD rel ). MODIS combined Terra/Aqua AOD and MERRA-2 AOD corresponding to morning and noon hours resulted in better results than individual sub datasets. A clear annual cycle in AOD was detected by the three platforms. However, overall, MODIS and MERRA-2 tend to overestimate and underestimate AOD, respectively, in comparison with AERONET. MODIS showed higher efficiency in detecting extreme events than MERRA-2. There was no clear relation found between the accuracy in MODIS/MERRA-2 AOD and surface relative humidity (RH). |
format |
Article in Journal/Newspaper |
author |
Midyan Aldabash Filiz Bektas Balcik Paul Glantz |
author_facet |
Midyan Aldabash Filiz Bektas Balcik Paul Glantz |
author_sort |
Midyan Aldabash |
title |
Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey |
title_short |
Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey |
title_full |
Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey |
title_fullStr |
Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey |
title_full_unstemmed |
Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey |
title_sort |
validation of modis c6.1 and merra-2 aod using aeronet observations: a comparative study over turkey |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/atmos11090905 https://doaj.org/article/45fbb5540296425daa9d8ba848a18c31 |
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 |
Atmosphere, Vol 11, Iss 905, p 905 (2020) |
op_relation |
https://www.mdpi.com/2073-4433/11/9/905 https://doaj.org/toc/2073-4433 doi:10.3390/atmos11090905 2073-4433 https://doaj.org/article/45fbb5540296425daa9d8ba848a18c31 |
op_doi |
https://doi.org/10.3390/atmos11090905 |
container_title |
Atmosphere |
container_volume |
11 |
container_issue |
9 |
container_start_page |
905 |
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1765996742779600896 |