Synergistic Retrieval of Multitemporal Aerosol Optical Depth Over North China Plain Using Geostationary Satellite Data of Himawari‐8

[1]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[2]  Yoram J. Kaufman,et al.  Effect of Amazon smoke on cloud microphysics and albedo - analysis from satellite imagery , 1993 .

[3]  Philip Watts,et al.  Joint retrieval of surface reflectance and aerosol optical depth from MSG/SEVIRI observations with an optimal estimation approach: 1. Theory , 2010 .

[4]  Teruyuki Nakajima,et al.  Detection of aerosol types over the East China Sea near Japan from four‐channel satellite data , 2002 .

[5]  Arata Okuyama,et al.  Preliminary validation of Himawari-8/AHI navigation and calibration , 2015, SPIE Optical Engineering + Applications.

[6]  Y. Lee,et al.  Uncertainties in global aerosols and climate effects due to biofuel emissions , 2015 .

[7]  Min Min,et al.  Multi-sensor quantification of aerosol-induced variability in warm clouds over eastern China , 2015 .

[8]  Teruyuki Nakajima,et al.  Development of a Two-Channel Aerosol Retrieval Algorithm on a Global Scale Using NOAA AVHRR , 1999 .

[9]  Sundar A. Christopher,et al.  GOES-8 Retrieval of Dust Aerosol Optical Thickness over the Atlantic , 2003 .

[10]  B. Stevens.  Rethinking the Lower Bound on Aerosol Radiative Forcing , 2015 .

[11]  J. Kiehl,et al.  The Relative Roles of Sulfate Aerosols and Greenhouse Gases in Climate Forcing , 1993, Science.

[12]  W. Menzel,et al.  Introducing GOES-I: The First of a New Generation of Geostationary Operational Environmental Satellites , 1994 .

[13]  E. Vermote,et al.  The MODIS Aerosol Algorithm, Products, and Validation , 2005 .

[14]  Alan H. Strahler,et al.  An algorithm for the retrieval of albedo from space using semiempirical BRDF models , 2000, IEEE Trans. Geosci. Remote. Sens..

[15]  Xingfa Gu,et al.  Synergy of MODIS and AATSR for better retrieval of aerosol optical depth and land surface directional reflectance , 2017 .

[16]  Yoshiaki Matsumae,et al.  Method for validating cloud mask obtained from satellite measurements using ground-based sky camera. , 2014, Applied optics.

[17]  Gerrit de Leeuw,et al.  The ADV/ASV AATSR aerosol retrieval algorithm: current status and presentation of a full-mission AOD dataset , 2016, Int. J. Digit. Earth.

[18]  A. Lacis,et al.  How well do satellite AOD observations represent the spatial and temporal variability of PM2.5 concentration for the United States , 2015 .

[19]  A. Okuyama,et al.  An Introduction to Himawari-8/9— Japan’s New-Generation Geostationary Meteorological Satellites , 2016 .

[20]  Christopher Justice,et al.  Towards a Generalized Approach for Correction of the BRDF Effect in MODIS Directional Reflectances , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[21]  Eleni Marinou,et al.  Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP , 2017 .

[22]  T. L. Wolfe,et al.  An assessment of the impact of pollution on global cloud albedo , 1984 .

[23]  Gabriele Curci,et al.  Analysis of the WRF-Chem contributions to AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and pollutant distributions , 2015 .

[24]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[25]  Peter R. J. North,et al.  Retrieval of land surface bidirectional reflectance and aerosol opacity from ATSR-2 multiangle imagery , 1999, IEEE Trans. Geosci. Remote. Sens..

[26]  Xingfa Gu,et al.  The inter-comparison of MODIS, MISR and GOCART aerosol products against AERONET data over China , 2012 .

[27]  José A. Sobrino,et al.  Analysis of directional effects on atmospheric correction , 2013 .

[28]  Gerrit de Leeuw,et al.  Retrieval of aerosol optical depth over land using two‐angle view satellite radiometry during TARFOX , 1998 .

[29]  Liangfu Chen,et al.  Development of a daytime cloud and haze detection algorithm for Himawari‐8 satellite measurements over central and eastern China , 2017 .

[30]  Bundit Limmeechokchai,et al.  Scenario Based Assessment of CO2 Mitigation Pathways: A Case Study in Thai Transport Sector , 2015 .

[31]  D. Lowe,et al.  Aerosol–radiation–cloud interactions in a regional coupled model: the effects of convective parameterisation and resolution , 2015 .

[32]  Edith Rodriguez,et al.  Determination of land surface reflectance using the AATSR dual-view capability , 2014 .

[33]  Dimitris G. Kaskaoutis,et al.  Seasonal variation of columnar aerosol optical properties over Athens, Greece, based on MODIS data , 2008 .

[34]  Chen Hongbin,et al.  Identification of Aerosol Types and Their Optical Properties in the North China Plain Based on Long-Term AERONET Data , 2013 .

[35]  Yi Qin,et al.  Characterizing the Aerosol and Surface Reflectance Over Australia Using AATSR , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[36]  Yong Xue,et al.  Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data , 2012 .

[37]  P. Deschamps,et al.  Influence of the atmosphere on space measurements of directional properties. , 1983, Applied optics.

[38]  O. Boucher,et al.  A satellite view of aerosols in the climate system , 2002, Nature.

[39]  J. Schmetz,et al.  Supplement to An Introduction to Meteosat Second Generation (MSG) , 2002 .

[40]  Xiaowen Li,et al.  Evaluation of BRDF Archetypes for Representing Surface Reflectance Anisotropy Using MODIS BRDF Data , 2015, Remote. Sens..

[41]  Alan H. Strahler,et al.  Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: effect of crown shape and mutual shadowing , 1992, IEEE Trans. Geosci. Remote. Sens..

[42]  J. Roujean,et al.  A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data , 1992 .

[43]  R. J. Flowerdew,et al.  An approximation to improve accuracy in the derivation of surface reflectances from multi‐look satellite radiometers , 1995 .

[44]  J. Coakley,et al.  Climate Forcing by Anthropogenic Aerosols , 1992, Science.