An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation
暂无分享,去创建一个
G. de Leeuw | Yujie Wang | O. Torres | P. North | A. Lyapustin | R. Levy | A. Sayer | M. Schulz | P. Stier | S. Kinne | C. Hsu | G. Thomas | N. Schutgens | A. Lipponen | C. Poulsen | H. Jethva | P. Leonard | L. Sogacheva | T. Popp | A. Heckel | V. Sawyer | C. Poulson | P. North
[1] N. Schutgens. Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations , 2020, Atmospheric Chemistry and Physics.
[2] Alexei Lyapustin,et al. Merging regional and global aerosol optical depth records from major available satellite products , 2020 .
[3] Yiran Peng,et al. Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products , 2019, Atmospheric Chemistry and Physics.
[4] N. Christina Hsu,et al. Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land , 2019, Journal of Geophysical Research: Atmospheres.
[5] N. C. Hsu,et al. VIIRS Deep Blue Aerosol Products Over Land: Extending the EOS Long‐Term Aerosol Data Records , 2019, Journal of Geophysical Research: Atmospheres.
[6] Jasper R. Lewis,et al. Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements , 2019, Atmospheric Measurement Techniques.
[7] Alexei Lyapustin,et al. MODIS Collection 6 MAIAC algorithm , 2018, Atmospheric Measurement Techniques.
[8] Yujie Wang,et al. Exploring systematic offsets between aerosol products from the two MODIS sensors. , 2018, Atmospheric measurement techniques.
[9] V. Kolehmainen,et al. Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land , 2018 .
[10] Edith Rodriguez,et al. Collocation mismatch uncertainties in satellite aerosol retrieval validation , 2017 .
[11] Brent N. Holben,et al. Retrieving near‐global aerosol loading over land and ocean from AVHRR , 2017 .
[12] N. C. Hsu,et al. Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements , 2017, Journal of geophysical research. Atmospheres : JGR.
[13] M. Schulz,et al. On the spatio-temporal representativeness of observations , 2017 .
[14] G. Leeuw,et al. Post-processing to remove residual clouds from aerosol optical depth retrieved using the Advanced Along Track Scanning Radiometer , 2016 .
[15] Michael Schulz,et al. Will a perfect model agree with perfect observations? The impact of spatial sampling , 2016 .
[16] Antti Arola,et al. Artificial bias typically neglected in comparisons of uncertain atmospheric data , 2016 .
[17] Duncan Watson-Parris,et al. Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations , 2016 .
[18] N. C. Hsu,et al. Implications of MODIS bow-tie distortion on aerosol optical depth retrievals, and techniques for mitigation , 2015 .
[19] Philip Stier,et al. The importance of temporal collocation for the evaluation of aerosol models with observations , 2015 .
[20] Didier Tanré,et al. Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis , 2015 .
[21] Hiren Jethva,et al. Global assessment of OMI aerosol single‐scattering albedo using ground‐based AERONET inversion , 2014 .
[22] David G. Streets,et al. Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model , 2014 .
[23] Hiren Jethva,et al. Assessment of OMI near‐UV aerosol optical depth over land , 2014 .
[24] Anu W. Turunen,et al. Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project , 2014, The Lancet.
[25] Kai Zhang,et al. MAC‐v1: A new global aerosol climatology for climate studies , 2013 .
[26] Lorraine A. Remer,et al. Impact of satellite viewing-swath width on global and regional aerosol optical thickness statistics and trends , 2013 .
[27] Jin Huang,et al. Enhanced Deep Blue aerosol retrieval algorithm: The second generation , 2013 .
[28] Didier Tanré,et al. Aerosol retrieval experiments in the ESA Aerosol_cci project , 2013 .
[29] C. Ichoku,et al. Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors , 2013 .
[30] D. Cayan,et al. Kawasaki disease and ENSO‐driven wind circulation , 2013 .
[31] Andrew K. Heidinger,et al. A global survey of the effect of cloud contamination on the aerosol optical thickness and its long‐term trend derived from operational AVHRR satellite observations , 2013 .
[32] Brent N. Holben,et al. Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS , 2012 .
[33] S. Conil,et al. Impacts of Aeolian dust deposition on European forest sustainability: A review , 2012 .
[34] Alexander Smirnov,et al. SeaWiFS Ocean Aerosol Retrieval (SOAR): Algorithm, validation, and comparison with other data sets , 2012 .
[35] Sietse O. Los,et al. A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR , 2012 .
[36] F. Bréon,et al. An evaluation of satellite aerosol products against sunphotometer measurements , 2011 .
[37] Alexander Smirnov,et al. Maritime aerosol network as a component of AERONET - first results and comparison with global aerosol models and satellite retrievals , 2011 .
[38] D. L. Nelson,et al. Response to "Toward unified satellite climatology of aerosol properties. 3. MODIS versus MISR versus AERONET" , 2011 .
[39] Roy G. Grainger,et al. Some implications of sampling choices on comparisons between satellite and model aerosol optical depth fields , 2010 .
[40] Joseph M. Prospero,et al. Global connections between aeolian dust, climate and ocean biogeochemistry at the present day and at the last glacial maximum , 2010 .
[41] Brian Cairns,et al. Toward unified satellite climatology of aerosol properties.: 3. MODIS versus MISR versus AERONET , 2010 .
[42] Daniel Krewski,et al. Public health benefits of strategies to reduce greenhouse-gas emissions: health implications of short-lived greenhouse pollutants , 2009, The Lancet.
[43] A. Kokhanovsky,et al. Satellite Aerosol Remote Sensing Over Land , 2009 .
[44] Richard Siddans,et al. Oxford-RAL Aerosol and Cloud (ORAC): aerosol retrievals from satellite radiometers , 2009 .
[45] S. Kinne. Remote sensing data combinations: superior global maps for aerosol optical depth , 2009 .
[46] Brian Cairns,et al. Toward unified satellite climatology of aerosol properties : What do fully compatible MODIS and MISR aerosol pixels tell us? , 2008 .
[47] Michael I. Mishchenko,et al. Toward unified satellite climatology of aerosol properties: Direct comparisons of advanced level 2 aerosol products , 2008 .
[48] David Hinkley,et al. Bootstrap Methods: Another Look at the Jackknife , 2008 .
[49] Michael R Chernick,et al. Bootstrap Methods: A Guide for Practitioners and Researchers , 2007 .
[50] Grant Harvey McTainsh,et al. The role of aeolian dust in ecosystems , 2007 .
[51] E. Vermote,et al. The MODIS Aerosol Algorithm, Products, and Validation , 2005 .
[52] Yoram J. Kaufman,et al. Intercomparison of satellite retrieved aerosol optical depth over ocean during the period September 1997 to December 2000 , 2004 .
[53] U. Lohmann,et al. Global indirect aerosol effects: a review , 2004 .
[54] Alexander Ignatov,et al. Intercomparison of Satellite Retrieved Aerosol Optical Depth over the Ocean , 2004 .
[55] Majid Ezzati,et al. For Personal Use. Only Reproduce with Permission from the Lancet Publishing Group , 2022 .
[56] Peter R. J. North,et al. Estimation of aerosol opacity and land surface bidirectional reflectance from ATSR‐2 dual‐angle imagery: Operational method and validation , 2002 .
[57] K. Taylor. Summarizing multiple aspects of model performance in a single diagram , 2001 .
[58] S. Vink,et al. The role of dust deposition in determining surface water distributions of Al and Fe in the South West Atlantic , 2001 .
[59] Alexander Smirnov,et al. Cloud-Screening and Quality Control Algorithms for the AERONET Database , 2000 .
[60] T. Eck,et al. Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .
[61] Alexander Smirnov,et al. Comparison of aerosol optical depth from four solar radiometers during the fall 1997 ARM intensive observation period , 1999 .
[62] 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..
[63] A. Smirnov,et al. AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .
[64] U. Lohmann,et al. Impact of sulfate aerosols on albedo and lifetime of clouds: A sensitivity study with the ECHAM4 GCM , 1997 .
[65] J. Hansen,et al. Radiative forcing and climate response , 1997 .
[66] M. Green. Air pollution and health , 1995 .
[67] D. Dockery,et al. An association between air pollution and mortality in six U.S. cities. , 1993, The New England journal of medicine.
[68] Michael Garstang,et al. Saharan dust in the Amazon Basin , 1992 .
[69] B. Albrecht. Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.
[70] S. Twomey. Pollution and the Planetary Albedo , 1974 .
[71] A. Ångström. Atmospheric turbidity, global illumination and planetary albedo of the earth , 1962 .