Articles | Volume 25, issue 6
https://doi.org/10.5194/acp-25-3413-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-3413-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Co-variability drives the inverted-V sensitivity between liquid water path and droplet concentrations
Department of Environment, Planning and Sustainability, Bar-Ilan University, Ramat Gan, Israel
Goutam Choudhury
Department of Environment, Planning and Sustainability, Bar-Ilan University, Ramat Gan, Israel
Jan Kretzschmar
Institute for Meteorology, Leipzig University, Leipzig, Germany
Isabel McCoy
Cooperative Institute for Research in Environmental Sciences, Boulder, CO, USA
NOAA Chemical Sciences Laboratory, Boulder, CO, USA
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Cited
14 citations as recorded by crossref.
- Beyond discrete stratocumulus regimes: a ternary continuum of morphology reveals within-regime variability in cloud susceptibilities T. Goren et al. https://doi.org/10.5194/acp-26-7193-2026
- Evaluating simulations of ship tracks in a km-scale model A. Tippett et al. https://doi.org/10.5194/acp-26-4251-2026
- Estimating Twomey forcing sensitivity to aerosol plume spreading rates L. McMichael et al. https://doi.org/10.5194/acp-26-14111-2026
- Advancing the quantification of aerosol-cloud interactions with the CALIPSO-CloudSat-Aqua/MODIS record Z. Li et al. https://doi.org/10.5194/acp-26-7705-2026
- Fine and coarse aerosols control of cloud water by evaporation-precipitation dynamics F. Liu et al. https://doi.org/10.1038/s41612-025-01193-8
- Regime-based aerosol–cloud interactions from CALIPSO-MODIS and the Energy Exascale Earth System Model version 2 (E3SMv2) over the Eastern North Atlantic X. Zheng et al. https://doi.org/10.5194/acp-25-17473-2025
- Sampling Bias From Satellite Retrieval Failures of Cloud Properties and Its Implications for Aerosol‐Cloud Interactions G. Choudhury & T. Goren https://doi.org/10.1029/2025GL115429
- Opinion: Inferring process from snapshots of cloud systems G. Feingold et al. https://doi.org/10.5194/acp-25-10869-2025
- Sensitivity of bi-spectral retrievals to the fixed effective variance assumption in ship tracks I. Boyce et al. https://doi.org/10.5194/amt-19-5475-2026
- A robust aerosol impact on clouds along the subtropical to tropical transition N. Yeheskel et al. https://doi.org/10.5194/acp-26-8765-2026
- Exploring the processes of liquid water path sensitivity to aerosol-cloud interactions using output from a high-resolution large-eddy simulation S. Dipu et al. https://doi.org/10.5194/acp-26-7917-2026
- On the processes determining the slope of cloud water adjustments in weakly and non-precipitating stratocumulus F. Hoffmann et al. https://doi.org/10.5194/acp-25-8657-2025
- Strong aerosol indirect radiative effect from dynamic-driven diurnal variations of cloud water adjustments J. Li et al. https://doi.org/10.5194/acp-25-17455-2025
- Machine learning reveals strong grid-scale dependence in the satellite Nd–LWP relationship M. Christensen et al. https://doi.org/10.5194/acp-26-59-2026
14 citations as recorded by crossref.
- Beyond discrete stratocumulus regimes: a ternary continuum of morphology reveals within-regime variability in cloud susceptibilities T. Goren et al. https://doi.org/10.5194/acp-26-7193-2026
- Evaluating simulations of ship tracks in a km-scale model A. Tippett et al. https://doi.org/10.5194/acp-26-4251-2026
- Estimating Twomey forcing sensitivity to aerosol plume spreading rates L. McMichael et al. https://doi.org/10.5194/acp-26-14111-2026
- Advancing the quantification of aerosol-cloud interactions with the CALIPSO-CloudSat-Aqua/MODIS record Z. Li et al. https://doi.org/10.5194/acp-26-7705-2026
- Fine and coarse aerosols control of cloud water by evaporation-precipitation dynamics F. Liu et al. https://doi.org/10.1038/s41612-025-01193-8
- Regime-based aerosol–cloud interactions from CALIPSO-MODIS and the Energy Exascale Earth System Model version 2 (E3SMv2) over the Eastern North Atlantic X. Zheng et al. https://doi.org/10.5194/acp-25-17473-2025
- Sampling Bias From Satellite Retrieval Failures of Cloud Properties and Its Implications for Aerosol‐Cloud Interactions G. Choudhury & T. Goren https://doi.org/10.1029/2025GL115429
- Opinion: Inferring process from snapshots of cloud systems G. Feingold et al. https://doi.org/10.5194/acp-25-10869-2025
- Sensitivity of bi-spectral retrievals to the fixed effective variance assumption in ship tracks I. Boyce et al. https://doi.org/10.5194/amt-19-5475-2026
- A robust aerosol impact on clouds along the subtropical to tropical transition N. Yeheskel et al. https://doi.org/10.5194/acp-26-8765-2026
- Exploring the processes of liquid water path sensitivity to aerosol-cloud interactions using output from a high-resolution large-eddy simulation S. Dipu et al. https://doi.org/10.5194/acp-26-7917-2026
- On the processes determining the slope of cloud water adjustments in weakly and non-precipitating stratocumulus F. Hoffmann et al. https://doi.org/10.5194/acp-25-8657-2025
- Strong aerosol indirect radiative effect from dynamic-driven diurnal variations of cloud water adjustments J. Li et al. https://doi.org/10.5194/acp-25-17455-2025
- Machine learning reveals strong grid-scale dependence in the satellite Nd–LWP relationship M. Christensen et al. https://doi.org/10.5194/acp-26-59-2026
Saved (final revised paper)
Latest update: 15 Oct 2026
Short summary
Many studies have identified an inverted-V relationship between the liquid water path (LWP) and droplet concentration (Nd), where LWP increases and then decreases with Nd. Using satellite observations and meteorological data, we demonstrate that the inverted V primarily reflects co-variability between LWP and Nd. We suggest taking a holistic approach that considers this co-variability when assessing the climatological sensitivity of LWP to anthropogenic aerosols.
Many studies have identified an inverted-V relationship between the liquid water path (LWP) and...
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