A modeling approach for aerosol optical depth analysis during forest fire events

2004 ◽  
Author(s):  
Martin P. Aube ◽  
Normand T. O'Neill ◽  
Alain Royer ◽  
David Lavoue
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Forest Fire ◽  
Modeling Approach ◽  
Depth Analysis

scholarly journals An Automated Method of MFRSR Calibration for Aerosol Optical Depth Analysis with Application to an Asian Dust Outbreak over the United States

2003 ◽  
Vol 42 (2) ◽  
pp. 266-278 ◽  
Author(s):  
John A. Augustine ◽  
Christopher R. Cornwall ◽  
Gary B. Hodges ◽  
Charles N. Long ◽  
Carlos I. Medina ◽  
...  
Keyword(s):  
United States ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
The United States ◽  
Asian Dust ◽  
Automated Method ◽  
Depth Analysis

scholarly journals Relationship Between MODIS-based Aerosol Optical Depth and PM10 over Sumatra to Overcome the Limitations of Air Quality Monitoring Data Availability

2018 ◽  
Vol 34 (4) ◽  
pp. 2163-2169 ◽  
Author(s):  
Syafrijon Syafrijon ◽  
Marzuki Marzuki ◽  
Emriadi Emriadi ◽  
Ridho Pratama
Keyword(s):  
Air Quality ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Forest Fire ◽  
Correlation Coefficients ◽  
Data Availability ◽  
Near Surface ◽  
Modis Aod ◽  
Moderate Resolution ◽  
Moderate Resolution Imaging Spectroradiometer

The present study uses the aerosol optical depth (AOD) obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite as a proxy to estimate the surface particulate matter (PM) concentrations over Sumatra. The daily average PM10 data collected during 2015 from three air quality stations across Sumatra, i.e., Kototabang, Jambi and Pekanbaru, were analyzed. The 2015 Indonesian forest fire significantly increased the PM10 concentrations and MODIS AOD values. The ratios of the mean PM10 concentrations and AOD values during the peak forest fire period to those during the period of normal conditions varied from 6 to 9. MODIS AOD may be a good indicator of the near-surface PM10 concentrations over Sumatra, as the correlation coefficients of the linear regressions were 0.86 (Kototabang), 0.80 (Jambi), and 0.81 (Pekanbaru). The linear regression functions of PM10 and satellite-observed AOD can be used to estimate the surface PM10 concentrations, and the correlation coefficient is 0.84.

The Impact of Dust Storms on Aerosol Optical Depth and Radiative Forcing

2020 ◽  
Vol 16 (1) ◽  
pp. 1-14
Author(s):  
Monim Jiboori ◽  
Nadia Abed ◽  
Mohamed Abdel Wahab
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Radiative Forcing ◽  
Dust Storms ◽  
The Impact

Aerosol optical depth at ALOMAR Observatory (Andøya, Norway) in summer 2002 and 2003

Tellus B ◽  
2006 ◽  
Vol 58 (3) ◽  
Author(s):  
Carlos Toledano ◽  
Victoria Cachorro ◽  
Alberto Berjón ◽  
Mar Sorribas ◽  
Ricardo Vergaz ◽  
...  
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth

Impact of aerosol on air temperature in Baghdad

2017 ◽  
Vol 2 (6) ◽  
Author(s):  
Yaseen Kadhim Abbas Al-Timimi ◽  
Ali Challob Khraibet
Keyword(s):  
Temperature Variation ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Air Temperature ◽  
Strong Correlation ◽  
Imaging Spectrometer ◽  
Moderate Resolution ◽  
Resolution Imaging

Aerosol Optical Depth (AOD) is the measure of aerosol distributed with a Column of air from earth’s surface to the top of atmosphere, in this study, temperature variation of aerosol optical depth (AOD) in Baghdad was analyzed Moderate Resolution Imaging Spectrometer (MODIS) from Terra and its relationship with temperature for the period 2003 – 2015 were examined. The highest values for mean seasonal AOD were observed in spring and summer and the maximum AOD values ranged from 0.50 to 0.58 by contrast minimum AOD values ranging from 0.30 to 0.41 were found in winter and autumn. Results of study also showed that the temperature (max., min., mean air temperature and DTR) have a strong correlation with AOD (0.82, 0.83, 0.82 and 0.65) respectively.

Sign in / Sign up

Export Citation Format

Share Document