PMID- 28800483
OWN - NLM
STAT- MEDLINE
DCOM- 20180216
LR  - 20181202
IS  - 1873-6424 (Electronic)
IS  - 0269-7491 (Linking)
VI  - 231
IP  - Pt 1
DP  - 2017 Dec
TI  - Assessment of AOD variability over Saudi Arabia using MODIS Deep Blue products.
PG  - 143-153
LID - S0269-7491(17)30577-8 [pii]
LID - 10.1016/j.envpol.2017.07.104 [doi]
AB  - The aim of this study is to investigate the variability of aerosol over The 
      Kingdom of Saudi Arabia. For this analysis, Moderate Resolution Imaging 
      Spectroradiometer (MODIS) Deep Blue (DB) Aerosol Optical Depth (AOD) product from 
      Terra and Aqua satellites for the years 2000-2013 is used. The product is 
      validated using AERONET data from ground stations, which are situated at Solar 
      Village Riyadh and King Abdullah University of Science and Technology (KAUST) 
      Jeddah. The results show that both Terra and Aqua satellites exhibit a tendency 
      to show the spatial variation of AOD with Aqua being better than Terra to 
      represent the ground based AOD measurements over the study region. The results 
      also show that the eastern, central, and southern regions of the country have a 
      high concentration of AOD during the study period. The validation results show 
      the highest correlation coefficient between Aqua and KAUST data with a value of 
      0.79, whilst the Aqua and Solar Village based AOD indicates the lowest Root Mean 
      Square Error (RMSE) and Mean Absolute Error (MAE) values which are, 0.17 and 0.12 
      respectively. Furthermore, the Relative Mean Bias (RMB) based analysis show that 
      the DB algorithm overestimates the AOD when using Terra and Solar Village data, 
      while it underestimates the AOD when using Aqua with Solar Village and KAUST 
      data. The RMB value for Aqua and Solar Village data indicates that the DB 
      algorithm is close to normal in the study region.
CI  - Copyright (c) 2017 Elsevier Ltd. All rights reserved.
FAU - Butt, Mohsin Jamil
AU  - Butt MJ
AD  - Department of Meteorology, Faculty of Meteorology, Environment and Arid Land 
      Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: 
      mbutt@kau.edu.sa.
FAU - Assiri, Mazen Ebraheem
AU  - Assiri ME
AD  - Department of Meteorology, Faculty of Meteorology, Environment and Arid Land 
      Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia.
FAU - Ali, Md Arfan
AU  - Ali MA
AD  - Department of Meteorology, Faculty of Meteorology, Environment and Arid Land 
      Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia.
LA  - eng
PT  - Journal Article
DEP - 20170808
PL  - England
TA  - Environ Pollut
JT  - Environmental pollution (Barking, Essex : 1987)
JID - 8804476
RN  - 0 (Aerosols)
RN  - 0 (Air Pollutants)
RN  - 0 (Particulate Matter)
SB  - IM
MH  - Aerosols/analysis
MH  - Air Pollutants/*analysis
MH  - Air Pollution/statistics & numerical data
MH  - Algorithms
MH  - Environmental Monitoring/*methods
MH  - Particulate Matter/*analysis
MH  - *Satellite Imagery
MH  - Saudi Arabia
OTO - NOTNLM
OT  - AERONET
OT  - AOD
OT  - Aerosol
OT  - DB
OT  - MODIS
EDAT- 2017/08/12 06:00
MHDA- 2018/02/17 06:00
CRDT- 2017/08/12 06:00
PHST- 2017/02/13 00:00 [received]
PHST- 2017/07/15 00:00 [revised]
PHST- 2017/07/31 00:00 [accepted]
PHST- 2017/08/12 06:00 [pubmed]
PHST- 2018/02/17 06:00 [medline]
PHST- 2017/08/12 06:00 [entrez]
AID - S0269-7491(17)30577-8 [pii]
AID - 10.1016/j.envpol.2017.07.104 [doi]
PST - ppublish
SO  - Environ Pollut. 2017 Dec;231(Pt 1):143-153. doi: 10.1016/j.envpol.2017.07.104. 
      Epub 2017 Aug 8.