Accuracy assessment of Terra-MODIS aerosol optical depth retrievals
Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products have been widely used to address environment and climate change subjects with daily global coverage. Aerosol optical depth (AOD) is retrieved by different algorithms based on the pixel surface, determining between land and ocean....
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| Published in | IOP conference series. Earth and environmental science Vol. 20; no. 1; pp. 12059 - 8 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Bristol
IOP Publishing
01.01.2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1755-1315 1755-1307 1755-1315 |
| DOI | 10.1088/1755-1315/20/1/012059 |
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| Abstract | Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products have been widely used to address environment and climate change subjects with daily global coverage. Aerosol optical depth (AOD) is retrieved by different algorithms based on the pixel surface, determining between land and ocean. Using data collected from 83 coastal stations worldwide from AERONET from 2000-2010, accuracy assessments are made for coastal aerosol optical depth (AOD) retrieved from MODIS aboard the Terra satellite. AOD retrieved from MODIS at 0.55 mu m wavelength has been compared With the AERONET derived AOD, because it is reliable with the major wavelength used by many chemistry transport and climate models as well as previous MODIS validation studies. The reasons of the retrieval error in AOD are found to be the various underlying surface reflectance. Therefore, the aerosol models and underlying surface reflectance are the dominant factors which influence tire accuracy of MODIS retrieval performance. Generally the MODIS Land algorithm implements better than the Ocean algorithm for coastal sites. |
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| AbstractList | Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products have been widely used to address environment and climate change subjects with daily global coverage. Aerosol optical depth (AOD) is retrieved by different algorithms based on the pixel surface, determining between land and ocean. MODIS-Terra and Global Aerosol Robotic Network (AERONET) products can be obtained from the Multi-sensor Aerosol Products Sampling System (MAPSS) for coastal regions during 2000-2010. Using data collected from 83 coastal stations worldwide from AERONET from 2000-2010, accuracy assessments are made for coastal aerosol optical depth (AOD) retrieved from MODIS aboard the Terra satellite. AOD retrieved from MODIS at 0.55 mu m wavelength has been compared With the AERONET derived AOD, because it is reliable with the major wavelength used by many chemistry transport and climate models as well as previous MODIS validation studies. After removing retrievals with quality flags below1 for Ocean algorithm and below 3 for Land algorithm, The accuracy of AOD retrieved from MODIS Dark Target Ocean algorithms (correlation coefficient R super(2) is 0.844 and a regression equation of tau sub(M) = 0.91. tau sub(A) + 0.02 (where subscripts M and A represent MODIS and AERONET respectively), is the greater than the MODIS Dark Target Land algorithms (correlation coefficient R super(2) is 0.764 and tau sub(M) = 0.95. tau sub(A) + 0.03) and the Deep Blue algorithm (correlation coefficient R super(2) is 0.652 and tau sub(M) = 0.81. tau sub(A) + 0.04). The reasons of the retrieval error in AOD are found to be the various underlying surface reflectance. Therefore, the aerosol models and underlying surface reflectance are the dominant factors which influence the accuracy of MODIS retrieval performance. Generally the MODIS Land algorithm implements better than the Ocean algorithm for coastal sites. Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products have been widely used to address environment and climate change subjects with daily global coverage. Aerosol optical depth (AOD) is retrieved by different algorithms based on the pixel surface, determining between land and ocean. Using data collected from 83 coastal stations worldwide from AERONET from 2000-2010, accuracy assessments are made for coastal aerosol optical depth (AOD) retrieved from MODIS aboard the Terra satellite. AOD retrieved from MODIS at 0.55 mu m wavelength has been compared With the AERONET derived AOD, because it is reliable with the major wavelength used by many chemistry transport and climate models as well as previous MODIS validation studies. The reasons of the retrieval error in AOD are found to be the various underlying surface reflectance. Therefore, the aerosol models and underlying surface reflectance are the dominant factors which influence tire accuracy of MODIS retrieval performance. Generally the MODIS Land algorithm implements better than the Ocean algorithm for coastal sites. Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products have been widely used to address environment and climate change subjects with daily global coverage. Aerosol optical depth (AOD) is retrieved by different algorithms based on the pixel surface, determining between land and ocean. MODIS-Terra and Global Aerosol Robotic Network (AERONET) products can be obtained from the Multi-sensor Aerosol Products Sampling System (MAPSS) for coastal regions during 2000-2010. Using data collected from 83 coastal stations worldwide from AERONET from 2000-2010, accuracy assessments are made for coastal aerosol optical depth (AOD) retrieved from MODIS aboard the Terra satellite. AOD retrieved from MODIS at 0.55μm wavelength has been compared With the AERONET derived AOD, because it is reliable with the major wavelength used by many chemistry transport and climate models as well as previous MODIS validation studies. After removing retrievals with quality flags below1 for Ocean algorithm and below 3 for Land algorithm, The accuracy of AOD retrieved from MODIS Dark Target Ocean algorithms (correlation coefficient R2 is 0.844 and a regression equation of τM 0.91·τA + 0.02 (where subscripts M and A represent MODIS and AERONET respectively), is the greater than the MODIS Dark Target Land algorithms (correlation coefficient R2 is 0.764 and τM 0.95·τA + 0.03) and the Deep Blue algorithm (correlation coefficient R2 is 0.652 and τM 0.81·τA + 0.04). The reasons of the retrieval error in AOD are found to be the various underlying surface reflectance. Therefore, the aerosol models and underlying surface reflectance are the dominant factors which influence the accuracy of MODIS retrieval performance. Generally the MODIS Land algorithm implements better than the Ocean algorithm for coastal sites. |
| Author | Safarpour, Sahabeh Lim, Hwee San Abdullah, Khiruddin Dadras, Mohsen |
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| CitedBy_id | crossref_primary_10_3389_feart_2019_00178 crossref_primary_10_3390_rs14132967 crossref_primary_10_1016_j_jenvman_2021_112510 crossref_primary_10_1109_TGRS_2025_3538164 crossref_primary_10_1007_s11356_023_26481_9 |
| Cites_doi | 10.1016/j.jqsrt.2010.11.001 10.1016/S0034-4257(00)00109-7 10.1029/1999JD900923 10.1029/2001JD001253 10.5194/acp-10-10399-2010 10.1029/96JD03437 10.1029/2006JE002852 10.1073/pnas.1101777108 10.1029/2007JD009661 10.1001/jama.287.9.1132 10.1109/TGRS.2004.824067 10.1109/36.20292 10.1029/96JD03988 10.1289/ehp.110-a674 10.1016/S0034-4257(98)00031-5 10.5194/amt-5-913-2012 10.1175/JAS3385.1 |
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| SubjectTerms | Accuracy Aerosol Robotic Network Aerosols Algorithms Argon oxygen decarburizing Assessments Climate change Climate models Coastal Coastal zone Correlation coefficient Correlation coefficients Meteorological satellites MODIS Optical analysis Optical thickness Reflectance Retrieval Spectroradiometers Wavelength |
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| Title | Accuracy assessment of Terra-MODIS aerosol optical depth retrievals |
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