Articles | Volume 12, issue 1
https://doi.org/10.5194/acp-12-527-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-12-527-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Jan 2012
Research article |
| 10 Jan 2012
ANISORROPIA: the adjoint of the aerosol thermodynamic model ISORROPIA
S. L. Capps
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
D. K. Henze
Deparment of Mechanical Engineering, University of Colorado, Boulder, CO, USA
A. Hakami
Department of Civil and Environmental Engineering, Carleton University, Ottawa, ON, Canada
A. G. Russell
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
A. Nenes
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
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Cited
27 citations as recorded by crossref.
- Modeling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon J. Ma et al. 10.5194/acp-19-11587-2019
- Adjoint sensitivity of global cloud droplet number to aerosol and dynamical parameters V. Karydis et al. 10.5194/acp-12-9041-2012
- ISORROPIA‐MCX: Enabling Sensitivity Analysis With Multicomplex Variables in the Aerosol Thermodynamic Model, ISORROPIA B. Berman et al. 10.1029/2022EA002729
- Simulating indoor inorganic aerosols of outdoor origin with the inorganic aerosol thermodynamic equilibrium model ISORROPIA B. Berman et al. 10.1111/ina.13075
- Development of the adjoint of the unified tropospheric–stratospheric chemistry extension (UCX) in GEOS-Chem adjoint v36 I. Dedoussi et al. 10.5194/gmd-17-5689-2024
- Quantifying sensitivities of ice crystal number and sources of ice crystal number variability in CAM 5.1 using the adjoint of a physically based cirrus formation parameterization B. Sheyko et al. 10.1002/2014JD022457
- The acidity of atmospheric particles and clouds H. Pye et al. 10.5194/acp-20-4809-2020
- Mid‐21st century chemical forcing of climate by the civil aviation sector N. Unger et al. 10.1002/grl.50161
- Detailed Analysis of Estimated pH, Activity Coefficients, and Ion Concentrations between the Three Aerosol Thermodynamic Models X. Peng et al. 10.1021/acs.est.9b00181
- Fine-particle water and pH in the southeastern United States H. Guo et al. 10.5194/acp-15-5211-2015
- Source attribution of particulate matter pollution over North China with the adjoint method L. Zhang et al. 10.1088/1748-9326/10/8/084011
- A multiphase CMAQ version 5.0 adjoint S. Zhao et al. 10.5194/gmd-13-2925-2020
- Application of the complex step method to chemistry-transport modeling B. Constantin & S. Barrett 10.1016/j.atmosenv.2014.10.017
- Modeling Indoor Inorganic Aerosol Concentrations During the ATHLETIC Campaign with IMAGES B. Berman et al. 10.1021/acsestair.4c00060
- Investigating the sensitivity of surface-level nitrate seasonality in Antarctica to primary sources using a global model H. Lee et al. 10.1016/j.atmosenv.2014.03.003
- Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign J. Choi et al. 10.1016/j.atmosenv.2019.02.008
- Multi-component atmospheric aerosols prediction by a multi-functional MC-HDMR approach K. Fu et al. 10.1016/j.atmosres.2012.04.014
- Atmospheric nitrogen deposition to the northwestern Pacific: seasonal variation and source attribution Y. Zhao et al. 10.5194/acp-15-10905-2015
- Assessing the Iterative Finite Difference Mass Balance and 4D‐Var Methods to Derive Ammonia Emissions Over North America Using Synthetic Observations C. Li et al. 10.1029/2018JD030183
- Global impact of mineral dust on cloud droplet number concentration V. Karydis et al. 10.5194/acp-17-5601-2017
- Influence of aerosol copper on HO<sub>2</sub> uptake: a novel parameterized equation H. Song et al. 10.5194/acp-20-15835-2020
- HETerogeneous vectorized or Parallel (HETPv1.0): an updated inorganic heterogeneous chemistry solver for the metastable-state NH4+–Na+–Ca2+–K+–Mg2+–SO42−–NO3−–Cl−–H2O system based on ISORROPIA II S. Miller et al. 10.5194/gmd-17-2197-2024
- Composition and sources of winter haze in the Bakken oil and gas extraction region A. Evanoski-Cole et al. 10.1016/j.atmosenv.2017.02.019
- Development of the high-order decoupled direct method in three dimensions for particulate matter: enabling advanced sensitivity analysis in air quality models W. Zhang et al. 10.5194/gmd-5-355-2012
- Contrasting regional versus global radiative forcing by megacity pollution emissions H. Dang & N. Unger 10.1016/j.atmosenv.2015.08.055
- Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. 10.5194/acp-16-2611-2016
- PM2.5 source attribution for Seoul in May from 2009 to 2013 using GEOS-Chem and its adjoint model H. Lee et al. 10.1016/j.envpol.2016.11.088
27 citations as recorded by crossref.
- Modeling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon J. Ma et al. 10.5194/acp-19-11587-2019
- Adjoint sensitivity of global cloud droplet number to aerosol and dynamical parameters V. Karydis et al. 10.5194/acp-12-9041-2012
- ISORROPIA‐MCX: Enabling Sensitivity Analysis With Multicomplex Variables in the Aerosol Thermodynamic Model, ISORROPIA B. Berman et al. 10.1029/2022EA002729
- Simulating indoor inorganic aerosols of outdoor origin with the inorganic aerosol thermodynamic equilibrium model ISORROPIA B. Berman et al. 10.1111/ina.13075
- Development of the adjoint of the unified tropospheric–stratospheric chemistry extension (UCX) in GEOS-Chem adjoint v36 I. Dedoussi et al. 10.5194/gmd-17-5689-2024
- Quantifying sensitivities of ice crystal number and sources of ice crystal number variability in CAM 5.1 using the adjoint of a physically based cirrus formation parameterization B. Sheyko et al. 10.1002/2014JD022457
- The acidity of atmospheric particles and clouds H. Pye et al. 10.5194/acp-20-4809-2020
- Mid‐21st century chemical forcing of climate by the civil aviation sector N. Unger et al. 10.1002/grl.50161
- Detailed Analysis of Estimated pH, Activity Coefficients, and Ion Concentrations between the Three Aerosol Thermodynamic Models X. Peng et al. 10.1021/acs.est.9b00181
- Fine-particle water and pH in the southeastern United States H. Guo et al. 10.5194/acp-15-5211-2015
- Source attribution of particulate matter pollution over North China with the adjoint method L. Zhang et al. 10.1088/1748-9326/10/8/084011
- A multiphase CMAQ version 5.0 adjoint S. Zhao et al. 10.5194/gmd-13-2925-2020
- Application of the complex step method to chemistry-transport modeling B. Constantin & S. Barrett 10.1016/j.atmosenv.2014.10.017
- Modeling Indoor Inorganic Aerosol Concentrations During the ATHLETIC Campaign with IMAGES B. Berman et al. 10.1021/acsestair.4c00060
- Investigating the sensitivity of surface-level nitrate seasonality in Antarctica to primary sources using a global model H. Lee et al. 10.1016/j.atmosenv.2014.03.003
- Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign J. Choi et al. 10.1016/j.atmosenv.2019.02.008
- Multi-component atmospheric aerosols prediction by a multi-functional MC-HDMR approach K. Fu et al. 10.1016/j.atmosres.2012.04.014
- Atmospheric nitrogen deposition to the northwestern Pacific: seasonal variation and source attribution Y. Zhao et al. 10.5194/acp-15-10905-2015
- Assessing the Iterative Finite Difference Mass Balance and 4D‐Var Methods to Derive Ammonia Emissions Over North America Using Synthetic Observations C. Li et al. 10.1029/2018JD030183
- Global impact of mineral dust on cloud droplet number concentration V. Karydis et al. 10.5194/acp-17-5601-2017
- Influence of aerosol copper on HO<sub>2</sub> uptake: a novel parameterized equation H. Song et al. 10.5194/acp-20-15835-2020
- HETerogeneous vectorized or Parallel (HETPv1.0): an updated inorganic heterogeneous chemistry solver for the metastable-state NH4+–Na+–Ca2+–K+–Mg2+–SO42−–NO3−–Cl−–H2O system based on ISORROPIA II S. Miller et al. 10.5194/gmd-17-2197-2024
- Composition and sources of winter haze in the Bakken oil and gas extraction region A. Evanoski-Cole et al. 10.1016/j.atmosenv.2017.02.019
- Development of the high-order decoupled direct method in three dimensions for particulate matter: enabling advanced sensitivity analysis in air quality models W. Zhang et al. 10.5194/gmd-5-355-2012
- Contrasting regional versus global radiative forcing by megacity pollution emissions H. Dang & N. Unger 10.1016/j.atmosenv.2015.08.055
- Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. 10.5194/acp-16-2611-2016
- PM2.5 source attribution for Seoul in May from 2009 to 2013 using GEOS-Chem and its adjoint model H. Lee et al. 10.1016/j.envpol.2016.11.088
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