Articles | Volume 12, issue 19
https://doi.org/10.5194/acp-12-9041-2012
© 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-12-9041-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Oct 2012
Research article |
| 04 Oct 2012
Adjoint sensitivity of global cloud droplet number to aerosol and dynamical parameters
V. A. Karydis
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
S. L. Capps
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
A. G. Russell
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
A. Nenes
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
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37 citations as recorded by crossref.
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- 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
36 citations as recorded by crossref.
- Uncertainty in malaria simulations in the highlands of Kenya: Relative contributions of model parameter setting, driving climate and initial condition errors A. Tompkins et al. 10.1371/journal.pone.0200638
- Long-term variation of cloud droplet number concentrations from space-based Lidar J. Li et al. 10.1016/j.rse.2018.05.011
- Atmospheric Aerosols: Clouds, Chemistry, and Climate V. McNeill 10.1146/annurev-chembioeng-060816-101538
- A multiphase CMAQ version 5.0 adjoint S. Zhao et al. 10.5194/gmd-13-2925-2020
- Instrument artifacts lead to uncertainties in parameterizations of cloud condensation nucleation J. Mirrielees & S. Brooks 10.5194/amt-11-6389-2018
- Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation G. Fanourgakis et al. 10.5194/acp-19-8591-2019
- A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges A. Prein et al. 10.1002/2014RG000475
- Mixing state and compositional effects on CCN activity and droplet growth kinetics of size-resolved CCN in an urban environment L. Padró et al. 10.5194/acp-12-10239-2012
- High sensitivity of cloud formation to aerosol changes A. Virtanen et al. 10.1038/s41561-025-01662-y
- Technical note: Frenkel, Halsey and Hill analysis of water on clay minerals: toward closure between cloud condensation nuclei activity and water adsorption C. Hatch et al. 10.5194/acp-19-13581-2019
- Global reduction in ship-tracks from sulfur regulations for shipping fuel T. Yuan et al. 10.1126/sciadv.abn7988
- Global impact of mineral dust on cloud droplet number concentration V. Karydis et al. 10.5194/acp-17-5601-2017
- Understanding the contributions of aerosol properties and parameterization discrepancies to droplet number variability in a global climate model R. Morales Betancourt & A. Nenes 10.5194/acp-14-4809-2014
- 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
- Deposition freezing, pore condensation freezing and adsorption: three processes, one description? M. Lbadaoui-Darvas et al. 10.5194/acp-23-10057-2023
- Ice‐nucleating particle emissions from photochemically aged diesel and biodiesel exhaust G. Schill et al. 10.1002/2016GL069529
- Sensitivities of Amazonian clouds to aerosols and updraft speed M. Cecchini et al. 10.5194/acp-17-10037-2017
- A novel approach for determining source–receptor relationships in model simulations: a case study of black carbon transport in northern hemisphere winter P. Ma et al. 10.1088/1748-9326/8/2/024042
- A physically based framework for modeling the organic fractionation of sea spray aerosol from bubble film Langmuir equilibria S. Burrows et al. 10.5194/acp-14-13601-2014
- Multiyear applications of WRF/Chem over continental U.S.: Model evaluation, variation trend, and impacts of boundary conditions K. Yahya et al. 10.1002/2015JD023819
- Atmospheric new particle formation as a source of CCN in the eastern Mediterranean marine boundary layer N. Kalivitis et al. 10.5194/acp-15-9203-2015
- Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. 10.5194/acp-16-2611-2016
- Surfactants from the gas phase may promote cloud droplet formation N. Sareen et al. 10.1073/pnas.1204838110
- Metamodeling of Droplet Activation for Global Climate Models D. Rothenberg & C. Wang 10.1175/JAS-D-15-0223.1
- New particle formation in the southern Aegean Sea during the Etesians: importance for CCN production and cloud droplet number P. Kalkavouras et al. 10.5194/acp-17-175-2017
- Comprehensive mapping and characteristic regimes of aerosol effects on the formation and evolution of pyro-convective clouds D. Chang et al. 10.5194/acp-15-10325-2015
- Global climate impacts of country-level primary carbonaceous aerosol from solid-fuel cookstove emissions F. Lacey & D. Henze 10.1088/1748-9326/10/11/114003
- An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: development and offline assessment for use in an aerosol–climate model D. Rothenberg & C. Wang 10.5194/gmd-10-1817-2017
- OCEANFILMS (Organic Compounds from Ecosystems to Aerosols: Natural Films and Interfaces via Langmuir Molecular Surfactants) sea spray organic aerosol emissions – implementation in a global climate model and impacts on clouds S. Burrows et al. 10.5194/acp-22-5223-2022
- Droplet number uncertainties associated with CCN: an assessment using observations and a global model adjoint R. Moore et al. 10.5194/acp-13-4235-2013
- E3SMv0‐HiLAT: A Modified Climate System Model Targeted for the Study of High‐Latitude Processes M. Hecht et al. 10.1029/2018MS001524
- Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. 10.5194/gmd-14-7659-2021
- Primary marine aerosol‐cloud interactions off the coast of California R. Modini et al. 10.1002/2014JD022963
- Quantifying the aerosol effect on droplet size distribution at cloud top L. Hernández Pardo et al. 10.5194/acp-19-7839-2019
- Bioaerosols in the Earth system: Climate, health, and ecosystem interactions J. Fröhlich-Nowoisky et al. 10.1016/j.atmosres.2016.07.018
- Water adsorption constrained Frenkel–Halsey–Hill adsorption activation theory: Montmorillonite and illite C. Hatch et al. 10.1016/j.atmosenv.2013.12.040
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