Characteristics of atmospheric aerosol optical depth variation in China during 1993–2012

Xu, Xiangde; Qiu, Jian; Xia, Xuezhi; Sun, Lin; Min, M.

doi:10.1016/j.atmosenv.2015.08.042

Cited by 40 publications

(36 citation statements)

References 59 publications

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“…Therefore, the seasonal influence of the Northern Pacific aerosol plume appears more significant than northern Atlantic aerosols. Eastern China is known for its industrial emission (Eck et al, ; Xia et al, ; Ruiz‐Arias et al, ; Xia et al, ; Che et al, ), occasional intense biomass burning and dust episodes (Sun et al, ; Eck et al, ; Xia et al, ; Xia et al, ; Che et al, ; Xu et al, ), which are well captured by MOZART simulations.…”

Section: Resultsmentioning

confidence: 99%

Global and regional evaluation of a global model simulated AODs with AERONET and MODIS observations

Sheel

Guleria

Ramachandran

2017

Intl Journal of Climatology

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Aerosol optical properties vary widely globally due to their short residence time and the large variability in their composition and size resulting from varying sources. In this study, we make use of the three‐dimensional global atmospheric chemistry transport model MOZART (Model for OZone And Related chemical Tracers), to simulate Aerosol Optical Depths (AODs) and compare with observations from MODIS (Moderate Resolution Imaging Spectroradiometer, level‐3) on board the Terra satellite and AERONET (AErosol RObotic NETwork level‐2), at regional and global scale for the period 2000–2007. The AOD values at a reference wavelength 550 nm are reported for all the data sets. Model and observations show intense aerosol burden over the parts of the world where developing countries are located. On a regional scale, varying features are noted for different regions depending upon topography, regional emissions and weather conditions. MOZART captures the general features observed in AERONET and MODIS fairly well; however, in biomass burning dominated regions (Central South America, South Africa, and North Australia) it underestimates the observed AOD. In industrial regions (North Europe and Mediterranean) MOZART overestimates the observations and over dust dominant regions (Saharan Africa, Middle East, and East Asia), the model AODs are comparable to AERONET and MODIS observations. In general, MOZART simulated AOD show similar seasonal and regional variability as observed in AERONET and MODIS. Our results are similar to the most commonly used models, i.e. GOCART (the GOddard Chemistry, Aerosol, Radiation, and Transport) and GEOS‐4 (Goddard Earth Observing System‐version 4).

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Section: Resultsmentioning

confidence: 99%

Global and regional evaluation of a global model simulated AODs with AERONET and MODIS observations

Sheel

Guleria

Ramachandran

2017

Intl Journal of Climatology

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“…The smallest AOD of 0.51 occurred in 2009, and the largest AODs of 0.63 were noted in 1993 and 1996. Because the AOD value decreased with the increase in monitoring channels, the OBEM retrieval datasets were lower than those of Che et al(2015) and higher than those of Xu et al(2015). As is shown in Fig.…”

Section: Model Application--long-term Variation Of Aod At 500 Nm Overmentioning

confidence: 75%

“…7 shows that the MAM peak is obviously higher than the SON peak and the aerosol loading in SON is lower, hence cloud extinction effect in SON is very significant as well. Xu et al (2015) retrieved the 750 nm AOD in the period 1993-2012 using the traditional broadband extinction method and found that the AOD exhibited a downward trend for the past 20 years in Beijing. Two peaks existed in 2003 and 2006, among which the AOD in 2006 was relatively high, with a value of approximately 0.60.…”

Section: Model Application--long-term Variation Of Aod At 500 Nm Overmentioning

confidence: 99%

Optimized Broadband Extinction Method for Retrieving 500 nm AOD with Long-Term Direct Solar Radiation: Model Test and Application

Xin

Liu

et al. 2017

Aerosol Air Qual. Res.

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A traditional broadband extinction method is improved by introducing the cloud-screening module and aerosol modal adjustment module, and the new approach is known as optimized broadband extinction method (OBEM). Based on OBEM, it could retrieve 500 nm aerosol optical depth (AOD) database with the use of direct solar radiation. Comparison of the monthly average AOD from OBEM and Chinese Sun Hazemeter Network (CSHNET) for 2006-2010 over Beijing site shows that the retrievals and observations display a high degree of consistency. The correlation equation is Y = 1.00X -0.01 with a correlation coefficient R 2 of 0.83 and root-mean-square error (RMSE) of 0.08. The largest relative error for the yearly average value is only 3.85%. So it is clear that the OBEM could serve as an effective tool to retrieve highly accurate historical 500 nm AOD data and implement homogenization with the current observational 500 nm AOD monitored by satellites and sun-photometers. The yearly average AOD of Beijing in 1993-2010 is 0.58 ± 0.03, and the seasonal AODs in MAM (March-April-May) and JJA (June-July-August) are obviously higher than SON (SeptemberOctober-November) and DJF (December-January-February), with values of 0.70 ± 0.14 and 0.64 ± 0.16, respectively. The long-term 500 nm AOD reveal significant periodic inter-annual characteristics with a slight downward trend, and the irradiance also decreased due to the extinction of increasing total-cloud amount.

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“…In this study we use both ground-based reference data, from AERONET (Holben et al, 1988) and from CARSNET (Che et al, 2009(Che et al, , 2015, and MODIS C6.1 AOD data for comparison and evaluation. Reference data and MODIS/Terra data for inter-comparison are not available for the period before 2000 and therefore we also use radiancederived AOD data (Xu et al, 2015, Guo et al, 2016b. Data sets and methods used are presented in section 2.…”

Section: Introductionmentioning

confidence: 99%

Investigations into the Development of a Satellite-Based Aerosol Climate Data Record using ATSR-2, AATSR and AVHRR data

Che

Jin

Leeuw

et al. 2019

Preprint

Self Cite

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Satellites provide information on the temporal and spatial distributions of aerosols on regional and global scales.With the same method applied to a single sensor all over the world, a consistent data set is to be expected. However, the application of different retrieval algorithms to the same sensor, and the use of a series of different sensors may lead to substantial differences and no single sensor or algorithm is better than any others everywhere and at any time. For the production of long-term climate data records, the use of multiple sensors cannot be avoided. The Along Track Scanning 20Radiometer (ATSR-2) and the advanced ATSR (AATSR) Aerosol Optical Depth (AOD) data sets have been used to provide a global AOD data record over land and ocean of 17-years (1995-2012), which is planned to be extended with AOD retrieved from a similar sensor, i.e. the Sea and Land Surface Temperature Radiometer (SLSTR) which flies on Sentinel-3A launched in early 2016. However, this leaves a gap of about 4 years between the end of the AATSR and the start of the SLSTR data records. To fill this gap, and to investigate the possibility to extend the ATSR data record to earlier years, the 25 use of an AOD data set from the Advanced Very High Resolution Radiometer (AVHRR) is investigated. AOD data sets used in this study were retrieved from the ATSR sensors using the ATSR Dual View algorithm ADV v2.31 developed by Finnish Meteorological Institute (FMI), and from the AVHRR sensors using the ADL algorithm developed by RADI/CAR. Together these data sets cover a multi-decadal period . The study area includes two contrasting areas, both as regards aerosol content and composition and surface properties, i.e. a region over North-East (NE) China encompassing a highly 30 populated urban/industrialized area (Beijing-Tianjin-Hebei) and a sparsely populated mountainous area.Ground-based AOD observations available from ground-based sunphotometer AOD data in AERONET and CARSNET are used as reference, together with radiation-derived showing the qualification of MODIS for comparison with ATSR and AVHRR. The comparison with MODIS shows that AVHRR performs better that ATSR in the north of the study area (40°N), whereas further south ATSR provides better results. The validation versus sunphotometer AOD shows that both AVHRR and ATSR underestimate the AOD, with ATSR failing to provide reliable results in the winter time. This is likely due to the highly reflecting surface in the dry season, when AVHRR-retrieved AOD traces both MODIS and reference AOD data well. However, AVHRR does not provide AOD larger 5 than about 0.6 and hence is not reliable in the summer season when high AOD values have been observed over the last decade. In these cases, ATSR performs much better, for AOD up to about 1.3. AVHRR-retrieved AOD compares favourably with radiance-derived AOD, except for AOD higher than about 0.6. These comparisons lead to the conclusion that AVHRR and ATSR AOD data records each have their strengths and weaknesses which need to be accounted for when co...

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Characteristics of atmospheric aerosol optical depth variation in China during 1993–2012

Cited by 40 publications

References 59 publications

Global and regional evaluation of a global model simulated AODs with AERONET and MODIS observations

Global and regional evaluation of a global model simulated AODs with AERONET and MODIS observations

Optimized Broadband Extinction Method for Retrieving 500 nm AOD with Long-Term Direct Solar Radiation: Model Test and Application

Investigations into the Development of a Satellite-Based Aerosol Climate Data Record using ATSR-2, AATSR and AVHRR data

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