Articles | Volume 13, issue 21
https://doi.org/10.5194/acp-13-10969-2013
© Author(s) 2013. 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-13-10969-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Nov 2013
Research article |
| 08 Nov 2013
A sensitivity study of radiative fluxes at the top of atmosphere to cloud-microphysics and aerosol parameters in the community atmosphere model CAM5
C. Zhao
Pacific Northwest National Laboratory, Richland, WA, USA
X. Liu
Pacific Northwest National Laboratory, Richland, WA, USA
now at: Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA
Y. Qian
Pacific Northwest National Laboratory, Richland, WA, USA
Pacific Northwest National Laboratory, Richland, WA, USA
Z. Hou
Pacific Northwest National Laboratory, Richland, WA, USA
G. Lin
Pacific Northwest National Laboratory, Richland, WA, USA
S. McFarlane
Pacific Northwest National Laboratory, Richland, WA, USA
now at: US Department of Energy, Washington, DC, USA
Pacific Northwest National Laboratory, Richland, WA, USA
B. Yang
Pacific Northwest National Laboratory, Richland, WA, USA
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Pacific Northwest National Laboratory, Richland, WA, USA
H. Yan
Pacific Northwest National Laboratory, Richland, WA, USA
J. Bao
Pacific Northwest National Laboratory, Richland, WA, USA
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- Application of Multivariate Sensitivity Analysis Techniques to AGCM-Simulated Tropical Cyclones F. He et al. https://doi.org/10.1175/MWR-D-17-0265.1
- Region and cloud regime dependence of parametric sensitivity in E3SM atmosphere model Y. Qian et al. https://doi.org/10.1007/s00382-023-06977-3
- Quantifying the local and remote impacts of sub‐grid physical processes on the Southeast Pacific sea surface fluxes in the Community Atmosphere Model version 5 by a limited‐area parameter perturbation approach S. Liu et al. https://doi.org/10.1002/joc.7308
- The impact of modified rate of precipitation conversion parameter in the convective parameterization scheme of operational weather forecast model (GFS T1534) over Indian summer monsoon region M. Ganai et al. https://doi.org/10.1016/j.atmosres.2020.105185
- Simulating black carbon and dust and their radiative forcing in seasonal snow: a case study over North China with field campaign measurements C. Zhao et al. https://doi.org/10.5194/acp-14-11475-2014
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- Sensitivities of the interannual variability of the East Asian winter monsoon for the physical parameters in CAS-FGOALS-g3 Q. Wang et al. https://doi.org/10.1007/s00382-025-07675-y
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- How does increasing horizontal resolution in a global climate model improve the simulation of aerosol‐cloud interactions? P. Ma et al. https://doi.org/10.1002/2015GL064183
- Automatic tuning of the Community Atmospheric Model (CAM5) by using short-term hindcasts with an improved downhill simplex optimization method T. Zhang et al. https://doi.org/10.5194/gmd-11-5189-2018
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- Parametric sensitivity analysis of precipitation at global and local scales in the Community Atmosphere Model CAM5 Y. Qian et al. https://doi.org/10.1002/2014MS000354
- 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. https://doi.org/10.1002/2014JD022457
- Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations Y. Qian et al. https://doi.org/10.1029/2018JD028927
- Quantifying Parametric Uncertainty Effects on Tropical Cloud Fraction in an AGCM F. Xie et al. https://doi.org/10.1029/2022MS003221
- Sensitivity experiments on the response of Vb cyclones to sea surface temperature and soil moisture changes M. Messmer et al. https://doi.org/10.5194/esd-8-477-2017
- Uncertainty quantification based cloud parameterization sensitivity analysis in the NCAR community atmosphere model R. Pathak et al. https://doi.org/10.1038/s41598-020-74441-x
- Combined impacts of convection and microphysics parameterizations on the simulations of precipitation and cloud properties over Asia D. Liu et al. https://doi.org/10.1016/j.atmosres.2018.05.017
- An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3) L. Wu et al. https://doi.org/10.5194/gmd-13-41-2020
- Sensitivity analysis of simulated SOA loadings using a variance‐based statistical approach M. Shrivastava et al. https://doi.org/10.1002/2015MS000554
- Parametric behaviors of CLUBB in simulations of low clouds in the Community Atmosphere Model (CAM) Z. Guo et al. https://doi.org/10.1002/2014MS000405
- An overview of mineral dust modeling over East Asia S. Chen et al. https://doi.org/10.1007/s13351-017-6142-2
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53 citations as recorded by crossref.
- The Essential Role of Cloud‐Radiation Interaction in Nonrotating Convective Self‐Aggregation Y. Fan et al. https://doi.org/10.1029/2021GL095102
- Impacts of Saharan Dust on Atlantic Regional Climate and Implications for Tropical Cyclones B. Pan et al. https://doi.org/10.1175/JCLI-D-16-0776.1
- Aerosol and physical atmosphere model parameters are both important sources of uncertainty in aerosol ERF L. Regayre et al. https://doi.org/10.5194/acp-18-9975-2018
- Sensitivity of solar irradiance to model parameters in cloud and aerosol treatments of WRF-solar Y. Liu et al. https://doi.org/10.1016/j.solener.2022.01.061
- Emergent Relationships Among Sea Ice, Longwave Radiation, and the Beaufort High Circulation Exposed Through Parameter Uncertainty Analysis J. Urrego‐Blanco et al. https://doi.org/10.1029/2019JC014979
- Short ensembles: an efficient method for discerning climate-relevant sensitivities in atmospheric general circulation models H. Wan et al. https://doi.org/10.5194/gmd-7-1961-2014
- Assessing the impacts of seasonal and vertical atmospheric conditions on air quality over the Pearl River Delta region C. Tong et al. https://doi.org/10.1016/j.atmosenv.2018.02.039
- Impact of atmospheric circulations on aerosol distributions in autumn over eastern China: observational evidence X. Zheng et al. https://doi.org/10.5194/acp-15-12115-2015
- Three-dimensional distribution of dust aerosols over the Tarim Basin and the Tibet Plateau during 2007–2021 derived from CALIPSO lidar observations J. Li et al. https://doi.org/10.1016/j.jclepro.2023.136746
- Impact of cloud radiative forcing on tropical cyclone frequency and intensity through tuning the cloud ice-to-snow diameter threshold L. Zhang et al. https://doi.org/10.1088/1748-9326/ad9b3c
- Parametric Sensitivity Analysis for the Asian Summer Monsoon Precipitation Simulation in the Beijing Climate Center AGCM, Version 2.1 B. Yang et al. https://doi.org/10.1175/JCLI-D-14-00655.1
- Comparison of ice cloud properties simulated by the Community Atmosphere Model (CAM5) with in-situ observations T. Eidhammer et al. https://doi.org/10.5194/acp-14-10103-2014
- Quantification of black carbon mixing state from traffic: implications for aerosol optical properties M. Willis et al. https://doi.org/10.5194/acp-16-4693-2016
- Sensitivity of Turbine-Height Wind Speeds to Parameters in Planetary Boundary-Layer and Surface-Layer Schemes in the Weather Research and Forecasting Model B. Yang et al. https://doi.org/10.1007/s10546-016-0185-2
- Direct Radiative Effect by Multicomponent Aerosol over China* X. Huang et al. https://doi.org/10.1175/JCLI-D-14-00365.1
- Uncertainty Quantification and Bayesian Inference of Cloud Parameterization in the NCAR Single Column Community Atmosphere Model (SCAM6) R. Pathak et al. https://doi.org/10.3389/fclim.2021.670740
- Parametric Sensitivity Analysis of ENSO‐Related Shortwave Feedback Simulations by PPE Experiments in CAM6 Y. Zhu et al. https://doi.org/10.1002/joc.70210
- Characterizing the radiative impacts of precipitating snow in the ECMWF Integrated Forecast System global model J. Li et al. https://doi.org/10.1002/2014JD021450
- The impact of changes in parameterizations of surface drag and vertical diffusion on the large-scale circulation in the Community Atmosphere Model (CAM5) J. Lindvall et al. https://doi.org/10.1007/s00382-016-3299-9
- Emerging trends in photodegradation of petrochemical wastes: a review P. Singh et al. https://doi.org/10.1007/s11356-016-7373-y
- Visualization of Time-Varying Weather Ensembles across Multiple Resolutions A. Biswas et al. https://doi.org/10.1109/TVCG.2016.2598869
- Parametric and Structural Sensitivities of Turbine‐Height Wind Speeds in the Boundary Layer Parameterizations in the Weather Research and Forecasting Model B. Yang et al. https://doi.org/10.1029/2018JD029691
- Application of Multivariate Sensitivity Analysis Techniques to AGCM-Simulated Tropical Cyclones F. He et al. https://doi.org/10.1175/MWR-D-17-0265.1
- Region and cloud regime dependence of parametric sensitivity in E3SM atmosphere model Y. Qian et al. https://doi.org/10.1007/s00382-023-06977-3
- Quantifying the local and remote impacts of sub‐grid physical processes on the Southeast Pacific sea surface fluxes in the Community Atmosphere Model version 5 by a limited‐area parameter perturbation approach S. Liu et al. https://doi.org/10.1002/joc.7308
- The impact of modified rate of precipitation conversion parameter in the convective parameterization scheme of operational weather forecast model (GFS T1534) over Indian summer monsoon region M. Ganai et al. https://doi.org/10.1016/j.atmosres.2020.105185
- Simulating black carbon and dust and their radiative forcing in seasonal snow: a case study over North China with field campaign measurements C. Zhao et al. https://doi.org/10.5194/acp-14-11475-2014
- Evaluating and constraining ice cloud parameterizations in CAM5 using aircraft measurements from the SPARTICUS campaign K. Zhang et al. https://doi.org/10.5194/acp-13-4963-2013
- Sensitivities of the interannual variability of the East Asian winter monsoon for the physical parameters in CAS-FGOALS-g3 Q. Wang et al. https://doi.org/10.1007/s00382-025-07675-y
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- Investigating the linkage between simulated precipitation climatology and ENSO-related precipitation anomaly based on multi-model and perturbed parameter ensembles B. Yang et al. https://doi.org/10.1007/s00704-019-02990-x
- How does increasing horizontal resolution in a global climate model improve the simulation of aerosol‐cloud interactions? P. Ma et al. https://doi.org/10.1002/2015GL064183
- Automatic tuning of the Community Atmospheric Model (CAM5) by using short-term hindcasts with an improved downhill simplex optimization method T. Zhang et al. https://doi.org/10.5194/gmd-11-5189-2018
- Understanding the contributions of aerosol properties and parameterization discrepancies to droplet number variability in a global climate model R. Morales Betancourt & A. Nenes https://doi.org/10.5194/acp-14-4809-2014
- A single ice approach using varying ice particle properties in global climate model microphysics X. Zhao et al. https://doi.org/10.1002/2017MS000952
- Global Sensitivity Analysis Using the Ultra‐Low Resolution Energy Exascale Earth System Model I. Tezaur et al. https://doi.org/10.1029/2021MS002831
- Putting the clouds back in aerosol–cloud interactions A. Gettelman https://doi.org/10.5194/acp-15-12397-2015
- A new approach to modeling aerosol effects on East Asian climate: Parametric uncertainties associated with emissions, cloud microphysics, and their interactions H. Yan et al. https://doi.org/10.1002/2015JD023442
- Quantitative Sensitivity Analysis of Physical Parameterizations for Cases of Deep Convection in the NASA GEOS-5 D. Posselt et al. https://doi.org/10.1175/JCLI-D-15-0250.1
- Assessing the sensitivity of aerosol mass budget and effective radiative forcing to horizontal grid spacing in E3SMv1 using a regional refinement approach J. Li et al. https://doi.org/10.5194/gmd-17-1327-2024
- Aerosol-radiation interaction in atmospheric models: Idealized sensitivity study of simulated short-wave direct radiative effects to particle microphysical properties V. Obiso & O. Jorba https://doi.org/10.1016/j.jaerosci.2017.10.004
- Parametric sensitivity analysis of precipitation at global and local scales in the Community Atmosphere Model CAM5 Y. Qian et al. https://doi.org/10.1002/2014MS000354
- 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. https://doi.org/10.1002/2014JD022457
- Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations Y. Qian et al. https://doi.org/10.1029/2018JD028927
- Quantifying Parametric Uncertainty Effects on Tropical Cloud Fraction in an AGCM F. Xie et al. https://doi.org/10.1029/2022MS003221
- Sensitivity experiments on the response of Vb cyclones to sea surface temperature and soil moisture changes M. Messmer et al. https://doi.org/10.5194/esd-8-477-2017
- Uncertainty quantification based cloud parameterization sensitivity analysis in the NCAR community atmosphere model R. Pathak et al. https://doi.org/10.1038/s41598-020-74441-x
- Combined impacts of convection and microphysics parameterizations on the simulations of precipitation and cloud properties over Asia D. Liu et al. https://doi.org/10.1016/j.atmosres.2018.05.017
- An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3) L. Wu et al. https://doi.org/10.5194/gmd-13-41-2020
- Sensitivity analysis of simulated SOA loadings using a variance‐based statistical approach M. Shrivastava et al. https://doi.org/10.1002/2015MS000554
- Parametric behaviors of CLUBB in simulations of low clouds in the Community Atmosphere Model (CAM) Z. Guo et al. https://doi.org/10.1002/2014MS000405
- An overview of mineral dust modeling over East Asia S. Chen et al. https://doi.org/10.1007/s13351-017-6142-2
- Grid-cell aerosol direct shortwave radiative forcing calculated using the SBDART model with MODIS and AERONET observations: An application in winter and summer in eastern China Y. Fu et al. https://doi.org/10.1007/s00376-017-6226-z
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