Validation of MODIS aerosol products by CSHNET over China

Wang, Lili; Xin, Jinyuan; Wang, Yuesi; Li, Zhanqing; Wang, Pucai; Liu, Guangren; Wen, Tian

doi:10.1007/s11434-007-0222-0

Cited by 39 publications

(23 citation statements)

References 36 publications

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“…What's more, AODs derived from MODIS data are somewhat more accurate than that derived from MISR and OMI in desert area [30]. It has been reported that MODIS products are highly applicable to Shaanxi Province [31][32][33]. Fine mode AOD (AODf) from MODIS data compare well with that observed by AERONET and can be used to quantitatively describe the AOD for fine aerosol particles.…”

Section: Datamentioning

confidence: 99%

See 1 more Smart Citation

Analysis of variation trends and causes of aerosol optical depth in Shaanxi Province using MODIS data

Dong

et al. 2013

Chin. Sci. Bull.

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Section: Datamentioning

confidence: 99%

“…Province from 2002 to 2010 [31][32][33]. There were 59% to 75% of MODIS products fell within the retrieval error envelope.…”

Section: Modis Is Capable Of Retrieving Aods With a Great Accuracy Onmentioning

confidence: 99%

Analysis of variation trends and causes of aerosol optical depth in Shaanxi Province using MODIS data

Dong

et al. 2013

Chin. Sci. Bull.

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“…The differences in AOD between MODIS and AERONET can vary significantly with region and season over China. Generally, they are smaller in the south and east of China than in the north and west, and smaller in dry seasons than in wet seasons [15,16]. At the Beijing site, MODIS-retrieved AOD correlates well with AERONET observations.…”

mentioning

confidence: 91%

Spatial and temporal distribution of MODIS and MISR aerosol optical depth over northern China and comparison with AERONET

Huang

2013

Chin. Sci. Bull.

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Aerosol optical depths (AODs) from MODIS and MISR onboard the Terra satellite are assessed by comparison with measurements from four AERONET sites located in northern China for the period [2006][2007][2008][2009]. The results show that MISR performs better than MODIS at the SACOL and Beijing sites. For the Xianghe and Xinglong sites, MODIS AOD retrievals are better than those of MISR. Overall, the relative error of the Angstrom exponent from MISR compared with AERONET is about 14%, but the MODIS error can reach 30%. Thus, it may be better to use the MISR Angstrom exponent to derive wavelength-dependent AOD values when calculating the aerosol radiative forcing in a radiative transfer model. Seasonal analysis of AOD over most of China shows two main areas with high aerosol loading: the Taklimakan Desert region and the southern part of North China and northern part of East China. The locations of these two areas of high aerosol loading do not change with season, but the AOD values have significant seasonal variation. The largest AOD value in the Taklimakan appears in spring when the Angstrom exponents are the lowest, which means the particle radii are relatively large. Over North and East China, the highest aerosol loading appears in summer. The aerosol particles are smallest in summer over both high-AOD areas. MODIS, MISR, AERONET, AOD, aerosol optical depth Citation:Qi Y L, Ge J M, Huang J P. Spatial and temporal distribution of MODIS and MISR aerosol optical depth over northern China and comparison with AERONET. Chin Sci Bull, 2013Bull, , 58: 24972506, doi: 10.1007 Aerosol, consisting of a variety of liquid and solid particles suspended in the atmosphere, is an important component of the earth-ocean-atmosphere system. Aerosol may directly impact the earth's energy budget by scattering and absorbing solar radiation, altering the radiative balance of the earth-atmosphere system, and indirectly by acting as cloud condensation nuclei and ice nuclei, thus modifying the microphysical properties and lifetime of clouds [1], and hence their radiative characteristics [2][3][4][5]. Aerosol life time can be just a few weeks or even shorter [6], and aerosol sources are distributed very unevenly, so that the spatial and temporal distribution of atmospheric aerosol is far from homogeneous [7]. Aerosol is an important component of climate models and contributes a large uncertainty to the radiative forcing of the earthatmosphere system [8], because of the lack of accurate longterm observations of aerosol optical characteristics and their spatial and temporal distribution.Aerosol optical depth (AOD), which is a key measure of aerosol optical properties, is a vertical integral of the extinction coefficient, representing the attenuation of solar radiation by aerosol scattering and absorption. It can also indicate air turbidity to a certain extent, and is an important parameter in the quantitative calculation of aerosol radiative forcing. The AOD is usually obtained from ground-based and space-based observations. Ground-based obse...

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“…The data are widely used to study aerosol properties, radiative forcing, and validation of satellite products (Lee et al, 2007; Li et al, 2007a; Xia et al, 2007a). Overall validation of MODIS aerosol products have been carried out in China, and comparisons indicate that substantial improvement is found in the Collection 5 AOD product relative to the Collection 4 AOD product, with the correlation coefficient of regression with ground measurements increasing from 0.66 to 0.84 and the slope improving from 0.74 to 0.98 for all data points (Li et al, 2007a; Wang et al, 2007). Similar validation of MISR data is still limited.…”

Section: Introductionmentioning

confidence: 99%

Validation of multi-angle imaging spectroradiometer aerosol products in China

Liu¹,

Xia²,

Li³

et al. 2010

Tellus B: Chemical and Physical Meteorology

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Based on AErosol RObotic NETwork and Chinese Sun Hazemeter Network data, the Multi‐angle Imaging SpectroRadiometer (MISR) level 2 aerosol optical depth (AOD) products are evaluated in China. The MISR retrievals depict well the temporal aerosol trend in China with correlation coefficients exceeding 0.8 except for stations located in northeast China and at the Lanzhou site. In general, the MISR AOD retrievals agree well with ground‐based observations for AOD < 0.5. The retrievals are systematically underestimated for AOD > 0.5 in the east, southwest and northeast regions of China. Concerning surface types, the greatest underestimations occur in farmland and forest ecosystems. The largest and smallest biases are seen in spring and in summer, respectively. The systematic underestimation seems to stem from the use of too high single scattering albedos ∼0.96 which is significantly higher than those estimated from ground‐based observations. Further improvements to the MISR aerosol algorithm, especially in the aerosol model, are recommended.

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Validation of MODIS aerosol products by CSHNET over China

Cited by 39 publications

References 36 publications

Analysis of variation trends and causes of aerosol optical depth in Shaanxi Province using MODIS data

Analysis of variation trends and causes of aerosol optical depth in Shaanxi Province using MODIS data

Spatial and temporal distribution of MODIS and MISR aerosol optical depth over northern China and comparison with AERONET

Validation of multi-angle imaging spectroradiometer aerosol products in China

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