Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-2765-2016
© Author(s) 2016. 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-16-2765-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Mar 2016
Research article |
| 04 Mar 2016
On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models
Shipeng Zhang
Institute for Climate and Global Change Research and School of
Atmospheric Sciences, Nanjing University, Nanjing, China
Collaborative Innovation Center of Climate Change, Jiangsu
Province, China
Atmospheric Science and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Institute for Climate and Global Change Research and School of
Atmospheric Sciences, Nanjing University, Nanjing, China
Collaborative Innovation Center of Climate Change, Jiangsu
Province, China
Atmospheric Science and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Steven J. Ghan
Atmospheric Science and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Aijun Ding
Institute for Climate and Global Change Research and School of
Atmospheric Sciences, Nanjing University, Nanjing, China
Collaborative Innovation Center of Climate Change, Jiangsu
Province, China
Hailong Wang
Atmospheric Science and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Kai Zhang
Atmospheric Science and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
David Neubauer
ETH Zurich, Institute for Atmospheric and Climate Science, Zurich,
Switzerland
Ulrike Lohmann
ETH Zurich, Institute for Atmospheric and Climate Science, Zurich,
Switzerland
Sylvaine Ferrachat
ETH Zurich, Institute for Atmospheric and Climate Science, Zurich,
Switzerland
Toshihiko Takeamura
Research Institute for Applied Mechanic, Kyushu University, Fukuoka,
Japan
Andrew Gettelman
National Center for Atmospheric Research, Boulder, Colorado, USA
Hugh Morrison
National Center for Atmospheric Research, Boulder, Colorado, USA
Yunha Lee
Earth and Ocean Sciences, Nicholas School of the Environment, Duke
University, Durham, North Carolina, USA
Drew T. Shindell
Earth and Ocean Sciences, Nicholas School of the Environment, Duke
University, Durham, North Carolina, USA
Daniel G. Partridge
Atmospheric, Oceanic and Planetary Physics, Department of Physics,
University of Oxford, Oxford, UK
Department of Environmental Science and Analytical Chemistry,
Stockholm University, Stockholm, Sweden
Bert Bolin Centre for Climate Research, Stockholm University,
Stockholm, Sweden
Philip Stier
Atmospheric, Oceanic and Planetary Physics, Department of Physics,
University of Oxford, Oxford, UK
Zak Kipling
Atmospheric, Oceanic and Planetary Physics, Department of Physics,
University of Oxford, Oxford, UK
Congbin Fu
Institute for Climate and Global Change Research and School of
Atmospheric Sciences, Nanjing University, Nanjing, China
Collaborative Innovation Center of Climate Change, Jiangsu
Province, China
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46 citations as recorded by crossref.
- An Overview of the Atmospheric Component of the Energy Exascale Earth System Model P. Rasch et al. 10.1029/2019MS001629
- First surface-based estimation of the aerosol indirect effect over a site in southeastern China J. Liu & Z. Li 10.1007/s00376-017-7106-2
- Envisioning an Integrated Assessment System and Observation Network for the North Atlantic Ocean L. Coleman et al. 10.3390/atmos12080955
- The global aerosol‐cloud first indirect effect estimated using MODIS, MERRA, and AeroCom D. McCoy et al. 10.1002/2016JD026141
- Meteorological Conditions Favorable for Strong Anthropogenic Aerosol Impacts on Clouds H. Trofimov et al. 10.1029/2021JD035871
- Investigating the Linear Dependence of Direct and Indirect Radiative Forcing on Emission of Carbonaceous Aerosols in a Global Climate Model Y. Chen et al. 10.1002/2017JD027244
- Uncertainty from the choice of microphysics scheme in convection-permitting models significantly exceeds aerosol effects B. White et al. 10.5194/acp-17-12145-2017
- The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing, and climate sensitivity D. Neubauer et al. 10.5194/gmd-12-3609-2019
- The Impact of Resolving Subkilometer Processes on Aerosol‐Cloud Interactions of Low‐Level Clouds in Global Model Simulations C. Terai et al. 10.1029/2020MS002274
- Significant Climate Impact of Highly Hygroscopic Atmospheric Aerosols in Delhi, India Y. Wang & Y. Chen 10.1029/2019GL082339
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
- Anthropogenic Aerosols Modulated 20th‐Century Sahel Rainfall Variability Via Their Impacts on North Atlantic Sea Surface Temperature S. Zhang et al. 10.1029/2021GL095629
- Volcano and Ship Tracks Indicate Excessive Aerosol‐Induced Cloud Water Increases in a Climate Model V. Toll et al. 10.1002/2017GL075280
- Revising the hygroscopicity of inorganic sea salt particles P. Zieger et al. 10.1038/ncomms15883
- Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites H. Bai et al. 10.5194/acp-18-1763-2018
- The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing J. Johnson et al. 10.5194/acp-18-13031-2018
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Aerosol and physical atmosphere model parameters are both important sources of uncertainty in aerosol ERF L. Regayre et al. 10.5194/acp-18-9975-2018
- Air Pollution, Climate Change, and Human Health in Indian Cities: A Brief Review R. Kaur & P. Pandey 10.3389/frsc.2021.705131
- Relative role of black carbon and sea-salt aerosols as cloud condensation nuclei over a high altitude urban atmosphere in eastern Himalaya A. Chatterjee et al. 10.1016/j.scitotenv.2020.140468
- Aerosol–cloud interactions in mixed-phase convective clouds – Part 2: Meteorological ensemble A. Miltenberger et al. 10.5194/acp-18-10593-2018
- Are atmospheric updrafts a key to unlocking climate forcing and sensitivity? L. Donner et al. 10.5194/acp-16-12983-2016
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- Exploring Aerosols Near Clouds With High‐Spatial‐Resolution Aircraft Remote Sensing During SEAC 4 RS R. Spencer et al. 10.1029/2018JD028989
- Analysis of polarimetric satellite measurements suggests stronger cooling due to aerosol-cloud interactions O. Hasekamp et al. 10.1038/s41467-019-13372-2
- Combining airborne in situ and ground-based lidar measurements for attribution of aerosol layers A. Nikandrova et al. 10.5194/acp-18-10575-2018
- On the contribution of fast and slow responses to precipitation changes caused by aerosol perturbations S. Zhang et al. 10.5194/acp-21-10179-2021
- The source of discrepancies in aerosol–cloud–precipitation interactions between GCM and A-Train retrievals T. Michibata et al. 10.5194/acp-16-15413-2016
- Comparison of Aerosol Optical Depth from MODIS Product Collection 6.1 and AERONET in the Western United States I. Eibedingil et al. 10.3390/rs13122316
- Strong constraints on aerosol–cloud interactions from volcanic eruptions F. Malavelle et al. 10.1038/nature22974
- The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0 M. Schultz et al. 10.5194/gmd-11-1695-2018
- Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds D. Rosenfeld et al. 10.1126/science.aav0566
- Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis F. Bender et al. 10.1007/s00382-018-4384-z
- Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation T. Michibata et al. 10.5194/gmd-12-4297-2019
- Advancing global aerosol simulations with size-segregated anthropogenic particle number emissions F. Xausa et al. 10.5194/acp-18-10039-2018
- On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect D. Rothenberg et al. 10.5194/acp-18-7961-2018
- Constraining the instantaneous aerosol influence on cloud albedo E. Gryspeerdt et al. 10.1073/pnas.1617765114
- Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al. 10.1029/2019MS001851
- Aquaplanets as a Framework for Examination of Aerosol Effects B. Medeiros 10.1029/2019MS001874
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- Origins of a Relatively Tight Lower Bound on Anthropogenic Aerosol Radiative Forcing from Bayesian Analysis of Historical Observations A. Albright et al. 10.1175/JCLI-D-21-0167.1
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- Spatial heterogeneity of aerosol induced rapid adjustments on precipitation response over India: a general circulation model study with ECHAM6-HAM2 K. Muduchuru & C. Venkataraman 10.1007/s00382-021-05908-4
- Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model Y. Sato et al. 10.1038/s41467-018-03379-6
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Saved (preprint)
Latest update: 02 Jun 2023
Short summary
The variation of aerosol indirect effects (AIE) in several climate models is investigated across different dynamical regimes. Regimes with strong large-scale ascent are shown to be as important as stratocumulus regimes in studying AIE. AIE over regions with high monthly large-scale surface precipitation rate contributes the most to the total aerosol indirect forcing. These results point to the need to reduce the uncertainty in AIE in different dynamical regimes.
The variation of aerosol indirect effects (AIE) in several climate models is investigated across...
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