Next Article in Journal
Estimating Processing Tomato Water Consumption, Leaf Area Index, and Height Using Sentinel-2 and VENµS Imagery
Next Article in Special Issue
WRF-Chem Simulation for Modeling Seasonal Variations and Distributions of Aerosol Pollutants over the Middle East
Previous Article in Journal
Examining Relationships between Heat Requirement of Remotely Sensed Green-Up Date and Meteorological Indicators in the Hulun Buir Grassland
Previous Article in Special Issue
Validation of GOSAT and OCO-2 against In Situ Aircraft Measurements and Comparison with CarbonTracker and GEOS-Chem over Qinhuangdao, China
 
 
Article

Aerosol Trends during the Dusty Season over Iran

1
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China
3
Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany
4
Climate and Atmosphere Research Center, The Cyprus Institute, P.O. Box 27456, 1645 Nicosia, Cyprus
5
Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
6
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Academic Editor: Muhammad Bilal
Remote Sens. 2021, 13(6), 1045; https://doi.org/10.3390/rs13061045
Received: 30 January 2021 / Revised: 8 March 2021 / Accepted: 8 March 2021 / Published: 10 March 2021
This study assessed the aerosol climatology over Iran, based on the monthly data of aerosol optical depth (AOD) derived from the reanalysis-based Modern Era Retrospective Analysis for Research and Applications (MERRA-2) and the satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS). In addition, sea level pressure, wind speed, temperature, relative humidity, precipitation, and soil moisture from the ERA5 reanalysis dataset were applied to investigate the climate-related effects on temporal AOD changes. Our analysis identified positive and negative AOD trends during 2000–2010 and 2010–2018, respectively, which are likely linked to aeolian dust changes. The dust-driven AOD trends were supported by changes in the Ångström exponent (AE) and fine mode fraction (FMF) of aerosols over Iran. During the early period (2000–2010), results of AOD-meteorology correlation analyses suggest reduced soil moisture, leading to increased dust emissions, whereas our results suggest that during the later period (2010–2018) an increase of soil moisture led to decreased AOD levels. Soil moisture appears to be a key factor in dust mobilization in the region, notably in southwestern Iran, being influenced by adjacent mineral dust sources. These phenomena were affected by large-scale sea level pressure transformations and the associated meteorology in the preceding winter seasons. Using a multiple linear regression model, AOD variability was linked to various meteorological factors in different regions. Our results suggest that climatic variations strongly affect the dust cycle, with a strong dependence on wintertime conditions in the region. View Full-Text
Keywords: AOD trends; MERRA-2; MODIS; dust changes; meteorology; Iran AOD trends; MERRA-2; MODIS; dust changes; meteorology; Iran
Show Figures

Graphical abstract

MDPI and ACS Style

Yousefi, R.; Wang, F.; Ge, Q.; Lelieveld, J.; Shaheen, A. Aerosol Trends during the Dusty Season over Iran. Remote Sens. 2021, 13, 1045. https://doi.org/10.3390/rs13061045

AMA Style

Yousefi R, Wang F, Ge Q, Lelieveld J, Shaheen A. Aerosol Trends during the Dusty Season over Iran. Remote Sensing. 2021; 13(6):1045. https://doi.org/10.3390/rs13061045

Chicago/Turabian Style

Yousefi, Robabeh, Fang Wang, Quansheng Ge, Jos Lelieveld, and Abdallah Shaheen. 2021. "Aerosol Trends during the Dusty Season over Iran" Remote Sensing 13, no. 6: 1045. https://doi.org/10.3390/rs13061045

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop