Validation of aerosol optical depth using AERONET ground stations in marine areas (Case Study: Persian Gulf)
Dust prediction such as prediction of wind and rain needs to synoptic information to the earth's surface, upper layers of the atmosphere, the prediction maps of land surface and upper levels as well as using radar and satellites. In the meantime, radar and satellite observations included remote sensing can be useful in prediction accuracy. The purpose of this study, use of remote sensing technology and MODIS images to estimate dust optical depth on the Persian Gulf surface and estimating the linear correlation relationship between the dust measurements in ground and atmospheric. The dust optical depth calculated using the code developed in MATLAB software. Evaluation of extracted data conducted using Pearson correlation coefficient, RMSE and RMSD index. In this study, optical depth obtained from image processing compared with the optical depths obtained from AERONET network. The evaluation results showed a high and significant correlation between the obtained optical depth and optical depths obtained from AERONET network (R 2 =0.99). The best and most suitable mode demonstrated for 1.243 and 1.632 bonds. At all stations, AOD value obtained from satellite image is bigger than AOD amount corresponding to the AERONET station and the algorithm used has overestimated. The cause of this more estimate can be use of limited particle's effective radius, because the scope of this effective radius is limited at the distribution of particle size in log-normal. Error resources at the retrieving particulate matter was defined such as sensor calibration error, pollution on the radiation angle, or poor predictor of water reflection.
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Format: | Journal Contribution biblioteca |
Language: | Persian |
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2018
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Subjects: | Effective Radius, AERONET, Dust, Optical Depth, Marine, Area, |
Online Access: | http://hdl.handle.net/1834/13421 |
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dig-aquadocs-1834-134212021-05-19T06:53:37Z Validation of aerosol optical depth using AERONET ground stations in marine areas (Case Study: Persian Gulf) Farhadi, Saeid Asgari, Hossein Mohammad Dadollahi Sohrab, Ali Jafar Nazemosadat, Seyed Mohammad Khazaei, Sayyed Hossein Effective Radius AERONET Dust Optical Depth Marine Area Dust prediction such as prediction of wind and rain needs to synoptic information to the earth's surface, upper layers of the atmosphere, the prediction maps of land surface and upper levels as well as using radar and satellites. In the meantime, radar and satellite observations included remote sensing can be useful in prediction accuracy. The purpose of this study, use of remote sensing technology and MODIS images to estimate dust optical depth on the Persian Gulf surface and estimating the linear correlation relationship between the dust measurements in ground and atmospheric. The dust optical depth calculated using the code developed in MATLAB software. Evaluation of extracted data conducted using Pearson correlation coefficient, RMSE and RMSD index. In this study, optical depth obtained from image processing compared with the optical depths obtained from AERONET network. The evaluation results showed a high and significant correlation between the obtained optical depth and optical depths obtained from AERONET network (R 2 =0.99). The best and most suitable mode demonstrated for 1.243 and 1.632 bonds. At all stations, AOD value obtained from satellite image is bigger than AOD amount corresponding to the AERONET station and the algorithm used has overestimated. The cause of this more estimate can be use of limited particle's effective radius, because the scope of this effective radius is limited at the distribution of particle size in log-normal. Error resources at the retrieving particulate matter was defined such as sensor calibration error, pollution on the radiation angle, or poor predictor of water reflection. Published 2018-08-01T05:13:44Z 2018-08-01T05:13:44Z 2018 Journal Contribution Refereed 2008-8965 http://hdl.handle.net/1834/13421 fa pp.10-27 Iran Persian Gulf |
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Effective Radius AERONET Dust Optical Depth Marine Area Effective Radius AERONET Dust Optical Depth Marine Area |
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Effective Radius AERONET Dust Optical Depth Marine Area Effective Radius AERONET Dust Optical Depth Marine Area Farhadi, Saeid Asgari, Hossein Mohammad Dadollahi Sohrab, Ali Jafar Nazemosadat, Seyed Mohammad Khazaei, Sayyed Hossein Validation of aerosol optical depth using AERONET ground stations in marine areas (Case Study: Persian Gulf) |
description |
Dust prediction such as prediction of wind and rain needs to synoptic information to the
earth's surface, upper layers of the atmosphere, the prediction maps of land surface and upper
levels as well as using radar and satellites. In the meantime, radar and satellite observations
included remote sensing can be useful in prediction accuracy. The purpose of this study, use
of remote sensing technology and MODIS images to estimate dust optical depth on the
Persian Gulf surface and estimating the linear correlation relationship between the dust
measurements in ground and atmospheric. The dust optical depth calculated using the code
developed in MATLAB software. Evaluation of extracted data conducted using Pearson
correlation coefficient, RMSE and RMSD index. In this study, optical depth obtained from
image processing compared with the optical depths obtained from AERONET network. The
evaluation results showed a high and significant correlation between the obtained optical
depth and optical depths obtained from AERONET network (R
2
=0.99). The best and most
suitable mode demonstrated for 1.243 and 1.632 bonds. At all stations, AOD value obtained
from satellite image is bigger than AOD amount corresponding to the AERONET station and
the algorithm used has overestimated. The cause of this more estimate can be use of limited
particle's effective radius, because the scope of this effective radius is limited at the
distribution of particle size in log-normal. Error resources at the retrieving particulate matter
was defined such as sensor calibration error, pollution on the radiation angle, or poor
predictor of water reflection. |
format |
Journal Contribution |
topic_facet |
Effective Radius AERONET Dust Optical Depth Marine Area |
author |
Farhadi, Saeid Asgari, Hossein Mohammad Dadollahi Sohrab, Ali Jafar Nazemosadat, Seyed Mohammad Khazaei, Sayyed Hossein |
author_facet |
Farhadi, Saeid Asgari, Hossein Mohammad Dadollahi Sohrab, Ali Jafar Nazemosadat, Seyed Mohammad Khazaei, Sayyed Hossein |
author_sort |
Farhadi, Saeid |
title |
Validation of aerosol optical depth using AERONET ground stations in marine areas (Case Study: Persian Gulf) |
title_short |
Validation of aerosol optical depth using AERONET ground stations in marine areas (Case Study: Persian Gulf) |
title_full |
Validation of aerosol optical depth using AERONET ground stations in marine areas (Case Study: Persian Gulf) |
title_fullStr |
Validation of aerosol optical depth using AERONET ground stations in marine areas (Case Study: Persian Gulf) |
title_full_unstemmed |
Validation of aerosol optical depth using AERONET ground stations in marine areas (Case Study: Persian Gulf) |
title_sort |
validation of aerosol optical depth using aeronet ground stations in marine areas (case study: persian gulf) |
publishDate |
2018 |
url |
http://hdl.handle.net/1834/13421 |
work_keys_str_mv |
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_version_ |
1756076591875620864 |