Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations

By Ralph A. Kahn, Barbara J. Gaitley, John V. Martonchik, David J. Diner, Kathleen A. Crean, Brent N. Holben. 2005

551 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/715812306dcf1f5c377f8e0d67ba0ce6d511eb23

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Citations in the corpus

Polarimetric remote sensing of aerosols over land (2009, methodology): “Moreover, these radiance-based methods provide very limited capability to determine the aerosol size and composition that is present, with discrepancies in the retrieved AOT and sunphotometer measured AOT frequently being ascribed to erroneous aerosol model assumptions [Chu et al., 2002; Kahn et al.”
Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter (2014, background): “05 or 20%) of ground truth observations (Kahn et al. 2005), and has reliable trend”
Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results (2012, methodology): “[Kahn et al., 2005] have been used to evaluate the twodimensional (2D) distribution of atmospheric particles (MODIS, MISR), or plume heights (MISR) [e.”
Decadal-scale trends in regional aerosol particle properties and their linkage to emission changes (2017, background): “The errors anticipated over land and ocean in MISR AOD data are on the order of ±0.05 or ± (0.20 AOD), whichever is higher (Kahn et al 2005, Kahn et al 2010).”
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). (2017, methodology): “d AOD retrievals from MISR [2000–14, bright, desert regions only (Kahn et al. 2005)], and”
Online simulations of global aerosol distributions in the NASA GEOS‐4 model and comparisons to satellite and ground‐based aerosol optical depth (2010, background): “2t relative to collocated AERONET measurements [Kahn et al., 2005].”
Increase of cloud droplet size with aerosol optical depth: An observation and modeling study (2008, methodology): “The MISR AOD has been validated against AERONET ground observations [Kahn et al., 2005] and proves to be of high quality over land.”
The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces (2005, methodology): “…(AERONET) ground stations (Dubovik et al., 2000; Holben et al., 1998) and with intensive field campaign operations are being used to test aerosol optical depth (Abdou et al., 2004; Diner et al., 2001; Kahn et al., 2005; Martonchik et al., 2004) as well as particle property sensitivity predictions.”
CALIOP and AERONET aerosol optical depth comparisons: One size fits none (2013, background): “Multi-angle Imaging SpectroRadiometer (MISR) and AERONET AOD (ta) are generally in agreement with 70% to 75% of MISR AOD within 0.05ta [Kahn et al., 2005, 2010].”
Mineral dust aerosols in the NASA Goddard Institute for Space Sciences ModelE atmospheric general circulation model (2006, background): “Satellites provide more complete spatial coverage, but in general retrieve only column integrals of dust properties like optical thickness [Herman et al., 1997; Mishchenko et al., 1999; Chu et al., 2002; Kahn et al., 2005].”
Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations (2010, background): “Indeed, the spectral angular measurements of total reflectance are shown to provide valuable aerosol information even over land surfaces (e.g. Martonchik et al., 2004; Liu et al., 2004; Kahn et al., 2005; Diner et al., 2005; etc.).”
Solar radiation budget and radiative forcing due to aerosols and clouds (2008, methodology): “There have been validation efforts by comparing coincident MISR AODs with those obtained from AERONET [e.g., Martonchik et al., 2004; Kahn et al., 2005].”
Aerosol source plume physical characteristics from space-based multiangle imaging (2007, background): “…and spherical versus nonspherical, making possible the separation of about a dozen aerosol air mass types based on particle properties, and allowing us to distinguish plume and background aerosols [Kahn et al., 2001, 2005; Kalashnikova and Kahn, 2006; Chen et al., submitted manuscript, 2006].”