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In this paper, 3 km Moderate resolution Imaging Spectroradiometer (MODIS) aerosol products over Xuzhou and the surrounding area, including Jiangsu, Anhui, Henan and Shandong provinces in China, from July, 2002 to December, 2015 are collected and validated by the ground-based measured data from Xuzhou-CUMT site of Aerosol Robotic Network (AERONET). The validation result shows that the correlation coefficient...
A new algorithm for Land Aerosol property and Bidirectional reflectance Inversion by Time Series technique (LABITS) is presented and applied to National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA AVHRR) data over China. Based on the assumptions that the surface bidirectional reflective property are not varying during one day and aerosol characteristics are...
Atmospheric aerosols play an important role in climate change research. It was found that different algorithms and instruments produce somewhat different results for aerosol optical depth (AOD) even if the same location at the same time is observed. Therefore, it is critical to integrate data from multiple platforms and techniques to derive a consistent AOD product. This paper introduced an approach...
In recent years the satellite monitoring capabilities in particular to derive maps of aerosol optical depth (AOD) have increased tremendously. There are many aerosol retrieval algorithms for different satellites and sensors. In 2005, a new algorithm for AOD retrieval by synergetic use of of Terra and Aqua MODIS data (SYNTAM) was proposed by Tang et al. With this algorithm, surface reflectance and...
In this paper, an advanced synergetic algorithm for aerosol retrieval from small satellite data is presented and applied on MODerate resolution Imaging Spectroradiometer (MODIS) and the Hyper-Spectral Imager (HSI) data from China HJ-1A satellite of the Environment and Disasters Monitoring Microsatellite Constellation. Using this algorithm, 500m MODIS data are downscaled to 100m based on maximal mutual...
As a result of increasing attention paid to aerosols in climate studies, numerous global satellite aerosol products have been generated. There exists, however, an outstanding problem that these satellite products have substantial discrepancies, that must be lowered substantially for narrowing the range of the estimates of aerosol's climate effects. In this paper, three different data assimilation...
In addition to climate-related processes, aerosol effects are also enormous in regional/local atmospheric phenomena. Fine resolution satellite data can be used to provide a macro-view of extreme aerosol events. The Aerosol Optical Thickness (AOT) for two extreme aerosol events were retrieved with spatial resolution 500m over East of China and Washington state, USA, respectively. Validation confirms...
On Oct. 28th, 2009, a heavy fog hit East China. From the MODIS RGB composite image, it can be seen clearly that, much of land of the area (110°-123°E, 30°-42°N) was covered by the heavy fog or cloud. Using MODIS multi-satellite algorithm for aerosol optical depth (AOD) retrieval, we get the AOD Map at 470, 550 and 660 nm from MODIS data at 1km × 1km resolution. By Validating with the AERONET data,...
This paper describes a case study of satellite data integrated with HYSPLIT forward-trajectory model to forecast air quality in regional scale. During mid-October 2009, a severe haze event occurs in eastern China. With the help of HYSPLIT Trajectory Model, a 24-hr, 48-hr and 72-hr forward trajectory from three regions with high aerosol optical depth (AOD) values were created. Forward trajectories...
Aerosol Optical Depth (AOD) is a vitally important physical parameter of aerosol which can be retrieved from satellite remote sensing data. The traditional algorithm such as MODIS aerosol algorithm is only appropriate for the dark pixels which have low reflectance. If the surface reflectance is high, the algorithm is ineffective. In this paper we proposed an advanced quantitative retrieval algorithm...
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