Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison
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Bing Xu | Bin Chen | Tingting Jiang | Bin Chen | Bing Xu | Karen Kie Yan Chan | Bin Chen | K. K. Chan | Tingting Jiang | Tingting Jiang | Bing Xu
[1] A. Okuyama,et al. An Introduction to Himawari-8/9— Japan’s New-Generation Geostationary Meteorological Satellites , 2016 .
[2] Wei Gong,et al. Estimating hourly PM1 concentrations from Himawari-8 aerosol optical depth in China. , 2018, Environmental pollution.
[3] S. Twomey,et al. Aerosols, clouds and radiation , 1991 .
[4] Lorraine A. Remer,et al. Validation of MODIS 3 km land aerosol optical depth from NASA's EOS Terra and Aqua missions , 2018, Atmospheric Measurement Techniques.
[5] Zhengqiang Li,et al. Multiyear satellite and surface observations of cloud fraction over China , 2014 .
[6] Kathleen A. Crean,et al. Regional aerosol retrieval results from MISR , 2002, IEEE Trans. Geosci. Remote. Sens..
[7] Ying Li,et al. Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation , 2018, Remote. Sens..
[8] Oleg Dubovik,et al. Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land , 2007 .
[9] B. Brunekreef,et al. Air pollution and health , 2002, The Lancet.
[10] Hiroshi Murakami,et al. Data Assimilation of Himawari-8 Aerosol Observations: Asian Dust Forecast in June 2015 , 2016 .
[11] Michael D. King,et al. Deep Blue Retrievals of Asian Aerosol Properties During ACE-Asia , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[12] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[13] Christopher A. Cantrell,et al. Technical Note: Review of methods for linear least-squares fitting of data and application to atmospheric chemistry problems , 2008 .
[14] A. Lacis,et al. Application of spectral analysis techniques in the intercomparison of aerosol data. Part II: Using maximum covariance analysis to effectively compare spatiotemporal variability of satellite and AERONET measured aerosol optical depth , 2014 .
[15] S. Twomey. The Influence of Pollution on the Shortwave Albedo of Clouds , 1977 .
[16] Lorraine A. Remer,et al. MODIS 3 km aerosol product: algorithm and global perspective , 2013 .
[17] M. Fay,et al. Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. , 2010, Statistics surveys.
[18] T. Eck,et al. Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements , 2000 .
[19] B. Holben,et al. Validation of MODIS aerosol optical depth retrieval over land , 2002 .
[20] Liangfu Chen,et al. Comparison and evaluation of the MODIS Collection 6 aerosol data in China , 2015 .
[21] Andrew M. Sayer,et al. Validation and uncertainty estimates for MODIS Collection 6 “Deep Blue” aerosol data , 2013 .
[22] Alexander Smirnov,et al. Cloud-Screening and Quality Control Algorithms for the AERONET Database , 2000 .
[23] T. Eck,et al. Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .
[24] J. Coakley,et al. Climate Forcing by Anthropogenic Aerosols , 1992, Science.
[25] F. Dominici,et al. Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. , 2006, JAMA.
[26] Fanghua Wu,et al. Analysis of influential factors for the relationship between PM 2.5 and AOD in Beijing , 2017 .
[27] D. Tanré,et al. Remote Sensing of Tropospheric Aerosols from Space: Past, Present, and Future. , 1999 .
[28] Chuanfeng Zhao,et al. Wintertime cooling and a potential connection with transported aerosols in Hong Kong during recent decades , 2018, Atmospheric Research.
[29] Chuanfeng Zhao,et al. Spatial Representativeness of PM2.5 Concentrations Obtained Using Observations From Network Stations , 2018 .
[30] Zhongfeng Qiu,et al. Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces , 2018, Remote. Sens..
[31] Kohei Arai,et al. Aerosol data assimilation using data from Himawari‐8, a next‐generation geostationary meteorological satellite , 2016 .
[32] B. Holben,et al. A spatio‐temporal approach for global validation and analysis of MODIS aerosol products , 2002 .
[33] Jian Li,et al. The Cloud Top Distribution and Diurnal Variation of Clouds Over East Asia: Preliminary Results From Advanced Himawari Imager , 2018 .
[34] Kimberly A. Prather,et al. Our current understanding of the impact of aerosols on climate change. , 2009, ChemSusChem.
[35] Lorraine A. Remer,et al. A surface reflectance scheme for retrieving aerosol optical depth over urbansurfaces in MODIS Dark Target retrieval algorithm , 2016 .
[36] M. Brauer,et al. Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors. , 2016, Environmental science & technology.
[37] W. Collins,et al. An AeroCom Initial Assessment - Optical Properties in Aerosol Component Modules of Global Models , 2005 .
[38] Hiroshi Murakami,et al. Improved Hourly Estimates of Aerosol Optical Thickness Using Spatiotemporal Variability Derived From Himawari-8 Geostationary Satellite , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[39] Jin Huang,et al. Enhanced Deep Blue aerosol retrieval algorithm: The second generation , 2013 .
[40] Chuanfeng Zhao,et al. Can MODIS cloud fraction fully represent the diurnal and seasonal variations at DOE ARM SGP and Manus sites? , 2017 .
[41] Yang Wang,et al. Distinct impact of different types of aerosols on surface solar radiation in China , 2016 .
[42] Hiroshi Murakami,et al. Common Retrieval of Aerosol Properties for Imaging Satellite Sensors , 2018 .
[43] Lorraine Remer,et al. The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol , 1997, IEEE Trans. Geosci. Remote. Sens..
[44] Cardona Alzate,et al. Predicción y selección de variables con bosques aleatorios en presencia de variables correlacionadas , 2020 .
[45] Ute Mueller,et al. Review of surface particulate monitoring of dust events using geostationary satellite remote sensing , 2018, Atmospheric Environment.
[46] Quanhua Liu,et al. Three‐dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia , 2011 .
[47] A. Kokhanovsky,et al. Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments , 2007, Atmospheric Research.
[48] T. Eck,et al. Global evaluation of the Collection 5 MODIS dark-target aerosol products over land , 2010 .
[49] Yafang Cheng,et al. Assimilation of next generation geostationary aerosol optical depth retrievals to improve air quality simulations , 2014 .
[50] Muhammad Bilal,et al. Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters , 2017 .
[51] Yiran Peng,et al. MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison , 2019, Atmospheric Environment.
[52] Bin Chen,et al. Real-Time Estimation of Population Exposure to PM2.5 Using Mobile- and Station-Based Big Data , 2018, International journal of environmental research and public health.
[53] Yang Wang,et al. Intensification of aerosol pollution associated with its feedback with surface solar radiation and winds in Beijing , 2016 .
[54] Chi Li,et al. Diurnal Patterns in Global Fine Particulate Matter Concentration , 2018, Environmental Science & Technology Letters.
[55] Yuan Wang,et al. Evaluation and comparison of MODIS Collection 6.1 aerosol optical depth against AERONET over regions in China with multifarious underlying surfaces , 2018, Atmospheric Environment.
[56] Chuanfeng Zhao,et al. Increased Arctic cloud longwave emissivity associated with pollution from mid-latitudes , 2006, Nature.
[57] Matthew L. Thomas,et al. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015 , 2017, The Lancet.
[58] A. Smirnov,et al. AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .