Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sun photometer measurements

By Mian Chin, Paul Ginoux, S. Kinne, Omar Torres, Brent N. Holben, B. Duncan, Randall V. Martin, J. Logan, A. Higurashi, Teruyuki Nakajima. 2002

1,494 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/fae8628d7773d24f2b8b7dd8a3b25da8e3f81b0c

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Citations in the corpus

The aerosol-climate model ECHAM5-HAM (2004, background): “…nm. Note that for dust the derivation ofni from AERONET measurements (Kinne et al., 2003) results in a significantly reduced absorption compared to earlier estimates (e.g.Moulin et al.(1997): ni=1.0×10−2 i atλ=550 nm) and used in most previous studies (e.g.Schulz et al., 1998; Chin et al., 2002).”
Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm (2018, methodology): “The MERRA aerosol field is driven by the Georgia Tech/Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model (Chin et al., 2002), and modified by assimilating aerosol optical depth from the MODIS instruments onboard the Terra and Aqua satellites (Colarco et al., 2010).”
A method to derive smoke emission rates from MODIS fire radiative energy measurements (2005, background): “chemical transport models use values of that are at least 50% higher than this [2], [37].”
The global 3-D distribution of tropospheric aerosols as characterized by CALIOP (2012, methodology): “(2010) compared seasonal variations of the vertical distributions of aerosol extinction in selected regions derived from CALIOP observations in clear skies with aerosol estimates from the GOCART model (Chin et al., 2002).”
Export efficiency of black carbon aerosol in continental outflow: Global implications (2005, background): “Most global models assume that it takes place on a timescale of 1 day [Cooke and Wilson, 1996; Cooke et al., 1999; Chin et al., 2002; Chung and Seinfeld, 2002; Park et al., 2003].”
Sulfur, sea salt, and radionuclide aerosols in GISS ModelE (2006, background): “A low sulfate wintertime bias is common among models [e.g., Chin et al., 2002b; Barrie et al., 2001; Rotstayn and Lohmann, 2002].”
Tropospheric Ozone Determined from Aura OMI and MLS: Evaluation of Measurements and Comparison with the Global Modeling Initiative's Chemical Transport Model (2006, methodology): “The three-dimensional aerosol surface area distributions were obtained from the Goddard Chemistry Aerosol Radiation and Transport (GOCART) model [Chin et al., 2002], taking into account swelling of aerosols in humid environments.”
Enhanced surface warming and accelerated snow melt in the Himalayas and Tibetan Plateau induced by absorbing aerosols (2010, neutral): “…from monthly climatologies (interpolated to daily values) of four-dimensional distributions of each of the five aerosol species (dust, black carbon, organic carbon, sulfate, and sea salt) derived from the Goddard Chemistry Aerosol Radiation Transport (GOCART) model (Chin et al 2002, 2004).”
Asian summer monsoon anomalies induced by aerosol direct forcing: the role of the Tibetan Plateau (2006, background): “and sun photometer measurements globally and regionally ( Chin et al. 2002; Chin et al.”
Direct radiative effect of aerosols as determined from a combination of MODIS retrievals and GOCART simulations (2004, methodology): “…used to simulate major atmospheric aerosol components using the assimilated meteorological fields [Chin et al., 2000a, 2000b; Ginoux et al., 2001; Chin et al., 2002] and to interpret, complement, and extend both ground-based measurements and MODIS retrievals [e.g., Chin et al., 2002; Kaufman et…”
Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models (2011, methodology): “shell/core ratio used for hydrophilic particles was 1.9 for BC [ Chin et al., 2002 ] and 1.27 for dust [Yamazaki et al., 2007].”
Ozone profile and tropospheric ozone retrievals from the Global Ozone Monitoring Experiment: Algorithm description and validation (2005, methodology): “…on retrieval, we use monthly mean SAGE-II stratospheric background aerosols [Bauman et al., 2003] and tropospheric aerosols based on monthly-mean mass fields from the Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model [Chin et al., 2002] as described in Martin et al. [2003].”
Global observations of aerosol‐cloud‐precipitation‐climate interactions (2014, background): “” Wet removal is considered to be the major loss mechanism for removing aerosols (especially submicron size particles) from the atmosphere, thus determining their lifetime [e.g., Liu et al., 2001; Chin et al., 2002].”
Online simulations of global aerosol distributions in the NASA GEOS‐4 model and comparisons to satellite and ground‐based aerosol optical depth (2010, background): “Chin, and T. Diehl (2010), Online simulations of global aerosol distributions in the NASA”
Long-term simulation of global dust distribution with the GOCART model: correlation with North Atlantic Oscillation (2004, methodology): “The values of Qk (380 nm) are calculated using Mie theory and using the real and imaginary parts of the refractive index derived by Colarco et al. (2002).”