New airborne research facility observes sensitivity of cumulus cloud microphysical properties to aerosol regime over the great barrier reef
Open accessAbstract
The new research aircraft, Cessna 337, is equipped with a meteorological, aerosol, and cloud microphysical instrumentation. A case study from its first campaign is presented showing the sensitivity of cumulus cloud microphysical properties to the aerosol regime over the Great Barrier Reef.
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The GBR and UoW studies faced non-linear perturbations in wind shear and evaporative cooling dynamics, introducing systematic biases into plume dispersion simulations.
“The GBR and UoW studies faced non-linear perturbations in wind shear and evaporative cooling dynamics, introducing systematic biases into plume dispersion simulations (Hernandez-Jaramillo et al., 2024; Wood et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Introduction reports that GBR field measurements found evaporative cooling did not affect near-field plume dispersion, contrary to earlier modelling suggestions. The paper does not report the claimed wind-shear perturbations or systematic biases in plume-dispersion simulations; the contrary finding on evaporative cooling is decisive for the GBR portion of the claim. (LLM, conf=0.78)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe GBR trials revealed potential operational uncertainties, such as the fidelity of NOAA's HYSPLIT back-trajectories in tracing aerosol sources and the ecological risks of altered rainfall patterns due to seeding.
“the GBR trials revealed potential operational uncertainties, such as the fidelity of NOAA's HYSPLIT back-trajectories in tracing aerosol sources and the ecological risks of altered rainfall patterns due to seeding (Hernandez-Jaramillo et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Summary (Fig. 4; page unavailable) shows that the GBR flights used NOAA HYSPLIT back-trajectories, but does not question their fidelity. The Summary reports suppressed rain from warm clouds associated with continentally sourced pollution aerosols, not ecological risks from rainfall changes caused by seeding. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe GBR trials reported droplet sizing uncertainties (±8%-15%) due to calibration errors in particle sizing spectrometers, alongside interpretation challenges arising from probe geometry and sampling limitations under cloud conditions.
“The GBR trials reported droplet sizing uncertainties ( ± 8%-15%) due to calibration errors in particle sizing spectrometers, alongside interpretation challenges arising from probe geometry and sampling limitations under cloud conditions (Hernandez-Jaramillo et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Cloud microphysics instrumentation section (page unavailable) reports particle-sizing uncertainty below 10% during the GBR campaign and describes calibration checks. It does not report a ±8%–15% droplet-sizing range or attribute the uncertainty to calibration errors. The Aerosol instrumentation system section describes measures to limit sampling losses and handle high humidity during in-cloud measurements, but does not identify probe geometry and sampling as interpretation challenges. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe GBR trials integrated aerosol production stability and plume detection, pausing operations during low wind speed (<10 knots) to optimize plume development or when mechanical failures affected sprayer systems.
“The GBR trials integrated aerosol production stability and plume detection, pausing operations during low wind speed ( < 10 knots) to optimize plume development or when mechanical failures affected sprayer systems (Hernandez-Jaramillo et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
Table 2 (Summary; page unavailable) describes plume mapping to track MCB plume dispersion, supporting the plume-detection part of the claim. Neither it nor the retrieved Field campaign and instrumentation passages reports pauses below 10 knots, pauses caused by sprayer failures, or monitoring aerosol production stability. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe GBR trials have concentrated on demonstrating aerosol delivery to cloud base and characterizing cloud microphysical responses, without attempting to measure ecological or climatic effects.
“The GBR trials have concentrated on demonstrating aerosol delivery to cloud base and characterizing cloud microphysical responses, without attempting to measure ecological or climatic effects (Hernandez-Jaramillo et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Field campaign section describes measurements of aerosol–cloud interactions and cloud microstructure, and the flight summary lists plume-mapping missions. But the cloud case studies sampled background conditions outside spraying operations; this paper does not demonstrate delivery of sprayed aerosol to cloud base or measure a resulting cloud response. It reports no ecological or climatic effect measurements, although the campaign also aimed to test the viability of shading corals with sea-spray fog. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Following a 9-year pause in MCB research, experiments resumed with Australia-based trials beginning in 2020 and continuing to the present.
“Following a 9-year pause in MCB research, experiments resumed with Australia-based trials beginning in 2020 and continuing to the present”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Field campaign section describes an Australian MCB-related campaign near Heron Reef in March–April 2023, and the Summary lists flights assigned to MCB missions. The paper does not establish a nine-year pause, say that trials began in 2020, or document their continuation beyond the reported campaign (searched: 2020 and nine-year pause). (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe primary focus of the Great Barrier Reef MCB trials was not climate intervention but mitigating coral bleaching by evaluating whether the MCB technique could locally enhance cloud reflectivity and reduce solar irradiance over the coral reef.
“The primary focus of these experiments was not climate intervention but mitigating coral bleaching by evaluating whether the MCB technique could locally enhance cloud reflectivity and reduce solar irradiance over the coral reef (Hernandez-Jaramillo et al., 2024, 2025).”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredThe CDP quantified droplet concentrations (3-50 μm diameter), while the CIP8 imaged precipitation-sized particles (15-960 μm).
“The CDP quantified droplet concentrations (3-50 μm diameter), while the CIP8 imaged precipitation-sized particles (15-960 μm).”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Cloud microphysics instrumentation section (page not available) gives the CDP detection range as 3–50 and says the imaging probe detects particles from 15–960 using 2D shadow images; the copy renders the unit as “mm.” It names that probe CIPg, not CIP8, so the instrument designation in the claim is not supported. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe GBR trials employed a Cloud Combination Probe (CCP), integrating a Cloud Droplet Probe (CDP), Cloud Imaging Probe (CIP8), and a hotwire liquid water sensor (LWC) to measure cloud microphysical properties.
“The GBR trials employed a Cloud Combination Probe (CCP), integrating a Cloud Droplet Probe (CDP), Cloud Imaging Probe (CIP8), and a hotwire liquid water sensor (LWC) to measure cloud microphysical properties.”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Cloud microphysics instrumentation section confirms that the GBR aircraft carried a CCP combining a Cloud Droplet Probe and a hotwire liquid water sensor to measure cloud properties. It identifies the imaging component as a grayscale Cloud Imaging Probe (CIPg), however, not the claimed CIP8. (LLM, conf=0.91)
Experimental — accuracy not yet measuredDrizzle thresholds (DWC > 0.05 g m^-3) were derived from CIP8 data to assess warm rain suppression.
“Drizzle thresholds (DWC > 0.05 g m -3 ) were derived from CIP8 data to assess warm rain suppression.”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
In “Clean and polluted warm clouds over the GBR” (page unavailable), the paper uses DWC > 0.05 g m⁻³ to identify rain initiation and says CIP images confirmed drizzle at the associated droplet-size threshold. It also reports a higher rain-initiation height in more polluted clouds. The copy does not identify the instrument as “CIP8” or say the DWC threshold was derived from CIP data; it describes the images as confirmation. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe GBR trials used a classification of clean (~200 cm^-3) versus polluted regimes (~1,500 cm^-3).
“GBR trials used a classification of clean ( ∼ 200 cm -3 ) versus polluted regimes ( ∼ 1,500 cm -3 ) (Hernandez-Jaramillo et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The “Clean and polluted warm clouds over the GBR” section describes clean and polluted case studies and reports about 200 cm^-3 cloud droplets at the clean cloud base. It reports aerosol particle concentrations up to about 1,500 cm^-3 in polluted boundary-layer air. These are different measurements, not a clean-versus-polluted classification using two comparable concentration values; no page number is available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredThe GBR pre-flight calibration ensured that any instrument drift or failure would be identified and corrected in advance, thereby maintaining data integrity through built-in technical redundancies.
“With this, they ensured that any instrument drift or failure would be identified and corrected in advance, thereby maintaining data integrity through built-in technical redundancies (Hernandez-Jaramillo et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Aerosol instrumentation system and Cloud microphysics instrumentation sections (pages unavailable) report recalibration immediately before the campaign and daily or regular calibration checks during it. They do not say that pre-flight checks ensured any drift or failure would be identified and corrected in advance, or that built-in redundancies maintained data integrity. (LLM, conf=0.86)
Experimental — accuracy not yet measuredAll three experiments also employed remote sensing tools, such as satellite imagery (MODIS, GOES) or lidar (miniMPL), to contextualize aerosol plumes within larger atmospheric structures, enabling multi-scale analysis of perturbations.
“All three experiments also employed remote sensing tools, such as satellite imagery (MODIS, GOES) or lidar (miniMPL), to contextualize aerosol plumes within larger atmospheric structures, enabling multi-scale analysis of perturbations as described in the integration of lidar, aircraft, and modeling tools (Hernandez-Jaramillo et al., 2024; Russell et al., 2013; Wood et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The “Clean and polluted warm clouds over the GBR” section (page unavailable) says satellite remote-sensing data provided context for the clouds sampled by aircraft, and that HYSPLIT modeling was used to investigate aerosol sources. This supports combining satellite, aircraft, and modeling information, but the paper does not identify MODIS, GOES, or miniMPL, or say that those tools contextualized aerosol plumes within larger atmospheric structures. It cannot establish what the other two cited experiments employed. (LLM, conf=0.85)
Experimental — accuracy not yet measuredAustralia-based MCB trials assess MCB's potential to mitigate coral bleaching on the Great Barrier Reef.
“assessing MCB's potential to mitigate coral bleaching on the Great Barrier Reef”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
Subsequent GBR research (2023) observed that higher aerosol concentrations, such as those from anthropogenic sources, increased cloud droplet numbers while reducing droplet size, thereby delaying warm rain initiation-a phenomenon consistent with the Twomey effect.
“They observed that higher aerosol concentrations, such as those from anthropogenic sources, increased cloud droplet numbers while reducing droplet size, thereby delaying warm rain initiation-a phenomenon consistent with the Twomey effect, where aerosols enhance cloud reflectivity (Hernandez-Jaramillo et al., 2024).”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
These measurements directly informed how aerosol perturbations alter cloud processes over the GBR.
“These measurements directly informed how aerosol perturbations alter cloud processes over the GBR (Hernandez-Jaramillo et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The LWC sensor validated liquid water content against droplet size distributions.
“The LWC sensor validated liquid water content against droplet size distributions.”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The GBR and UoW trials identified gaps in model representation of near-field turbulence, hygroscopicity variations, and aerosol transport.
“The GBR and UoW trials identified gaps in model representation of near-field turbulence, hygroscopicity variations, and aerosol transport (Hernandez-Jaramillo et al., 2024; Wood et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Field campaign section describes GBR flights measuring aerosol–cloud interactions, and the Introduction discusses the need to characterize plume dispersion. Neither identifies gaps in model representation. Searches for near-field turbulence, hygroscopicity, aerosol transport, and model limitations found no passage attributing those gaps to the trials; this verdict concerns only Hernandez-Jaramillo et al., not the separately cited Wood et al. (LLM, conf=0.76)
Experimental — accuracy not yet measuredBoth the GBR and the UoW trials emphasized the transient nature of sea-salt aerosols, which dissipate rapidly within hours through atmospheric mixing or deposition, enabling natural aerosol regimes to re-establish once spraying is halted.
“Both the GBR and the UoW trials emphasized the transient nature of sea-salt aerosols, which dissipate rapidly within hours through atmospheric mixing or deposition, enabling natural aerosol regimes to re-establish once spraying is halted (Hernandez-Jaramillo et al., 2024; Wood et al., 2024)”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Introduction describes spraying sea-salt aerosols, and the Field campaign section describes sampling background conditions outside spraying influence. The flight summary mentions tracking plume dispersion, but our copy does not say the aerosols dissipate within hours through mixing or deposition, or that natural aerosol conditions return after spraying stops. Searched for aerosol lifetime, dissipation, and post-spraying recovery; no page numbers were provided. (LLM, conf=0.74)
Experimental — accuracy not yet measuredAll three experiments incorporated real-time aerosol or cloud property thresholds, such as plume overconcentration (>50,000 cm^-3 in GBR), an excessive fraction of GCCN (>0.2%) in UoW trials, or the PCASP-based detection criteria implemented on E-PEACE, to trigger protocol adjustments.
“All three experiments incorporated real-time aerosol or cloud property thresholds, such as plume overconcentration (particle densities exceeding natural marine levels due to poor dispersion or excessive emissions), to trigger protocol adjustments ( > 50,000 cm -3 in GBR) (Hernandez-Jaramillo et al., 2024); an excessive fraction of GCCN ( > 0.2%) in UoW trials (Wood et al., 2024), or the PCAS”
From Past Field Experiments of Solar Radiation Modification: A Review of the Scientific and Technical Aspects for Governance (2026) · cites this paper as Hernandez-Jaramillo et al., 2024
The Aerosol instrumentation system section gives 0–50,000 cm^-3 as the measurement range of an optical particle counter, not a plume-overconcentration threshold. The Summary describes plume mapping, but our copy does not say that concentrations above 50,000 cm^-3 triggered real-time protocol adjustments; searches for the threshold and adjustment criteria found no such passage. No page numbers were provided for these passages. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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Cites
NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System
Stein, A., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M., & Ngan, F. (2015) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-14-00110.1 · Cited by 6,639 · see citing works
Global indirect aerosol effects: a review
Lohmann, U., & Feichter, J. (2005) · Atmospheric chemistry and physics · doi:10.5194/acp-5-715-2005 · Cited by 2,632 · see citing works
Pollution and the planetary albedo
Twomey, S. A. (1974) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(74)90004-3 · Cited by 2,332 · see citing works
Real-time Environmental Applications and Display sYstem: READY
Rolph, G. D., Stein, A., & Stunder, B. J. B. (2017) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2017.06.025 · Cited by 2,226 · see citing works
Flood or Drought: How Do Aerosols Affect Precipitation?
Rosenfeld, D., Lohmann, U., de Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi, S., Reissell, A., & Andreae, M. O. (2008) · Science · doi:10.1126/science.1160606 · Cited by 2,193 · see citing works
Self-citationBounding Global Aerosol Radiative Forcing of Climate Change
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson‐Parris, D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A. ‐., et al. (2020) · Reviews of Geophysics · doi:10.1029/2019rg000660 · Cited by 1,116 · see citing works
The Geoengineering Model Intercomparison Project (GeoMIP)
Kravitz, B., Robock, A. D., Boucher, O., Schmidt, H., Taylor, K. E., Stenchikov, G. L., & Schulz, M. (2011) · Atmospheric Science Letters · doi:10.1002/asl.316 · Cited by 468 · see citing works
The cloud, aerosol and precipitation spectrometer: a new instrument for cloud investigations
Baumgardner, D., Jonsson, H., Dawson, W., O'Connor, D., & Newton, R. (2001) · Atmospheric Research · doi:10.1016/s0169-8095(01)00119-3 · Cited by 334 · see citing works
Wood, R., Mechoso, C. R., Bretherton, C. S., Weller, R. A., Huebert, B. J., Straneo, F., Albrecht, B. A., Coe, H., Allen, G., Vaughan, G., et al. (2011) · Atmospheric chemistry and physics · doi:10.5194/acp-11-627-2011 · Cited by 304 · see citing works
Extreme coastal erosion enhanced by anomalous extratropical storm wave direction
Harley, M. D., Turner, I. L., Kinsela, M. A., Middleton, J. H., Mumford, P. J., Splinter, K. D., Phillips, M. S., Simmons, J. A., Hanslow, D. J., & Short, A. D. (2017) · Scientific Reports · doi:10.1038/s41598-017-05792-1 · Cited by 283 · see citing works
Latham, J. (1990) · Nature · doi:10.1038/347339b0 · Cited by 263 · see citing works
Ghan, S. J., & Schwartz, S. E. (2007) · Bulletin of the American Meteorological Society · doi:10.1175/bams-88-7-1059 · Cited by 246 · see citing works
Global temperature stabilization via controlled albedo enhancement of low-level maritime clouds
Latham, J., Rasch, P. J., Chen, C., Kettles, L., Gadian, A. M., Gettelman, A., Morrison, H., Bower, K. N., & Choularton, T. W. (2008) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2008.0137 · Cited by 241 · see citing works
Latham, J., Bower, K., Choularton, T., Coe, H., Connolly, P., Cooper, G., Craft, T., Foster, J., Gadian, A., Galbraith, L., et al. (2012) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2012.0086 · Cited by 232 · see citing works
Quantifying components of aerosol-cloud-radiation interactions in climate models
Zelinka, M. D., Andrews, T., Forster, P. M. D. F., & Taylor, K. E. (2014) · Journal of Geophysical Research Atmospheres · doi:10.1002/2014jd021710 · Cited by 203 · see citing works
Wendisch, M., Pöschl, U., Andreae, M. O., Machado, L. A. T., Albrecht, R. I., Schlager, H., Rosenfeld, D., Martin, S. T., Abdelmonem, A., Afchine, A., et al. (2016) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-14-00255.1 · Cited by 186 · see citing works
Self-citationCai, Y., Montague, D. C., Mooiweer-Bryan, W., & Deshler, T. (2008) · Journal of Aerosol Science · doi:10.1016/j.jaerosci.2008.04.007 · Cited by 176 · see citing works
Heymsfield, A. J., & Parrish, J. L. (1978) · Journal of applied meteorology · doi:10.1175/1520-0450(1978)017 · Cited by 160 · see citing works
Wang, Z., French, J. R., Vali, G., Wechsler, P. J., Haimov, S. J., Rodi, A. R., Deng, M., Leon, D., Snider, J. R., Peng, L., et al. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00044.1 · Cited by 139 · see citing works
Geoengineering by cloud seeding: influence on sea ice and climate system
Rasch, P. J., Latham, J., & Chen, C. (2009) · Environmental Research Letters · doi:10.1088/1748-9326/4/4/045112 · Cited by 134 · see citing works
A High-Altitude Long-Range Aircraft Configured as a Cloud Observatory: The NARVAL Expeditions
Stevens, B., Ament, F., Bony, S., Crewell, S., Ewald, F., Groß, S., Hansen, A., Hirsch, L., Jacob, M., Kölling, T., et al. (2019) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-18-0198.1 · Cited by 129 · see citing works
Moore, R. H., Wiggins, E. B., Ahern, A. T., Zimmerman, S., Montgomery, L., Campuzano‐Jost, P., Robinson, C. E., Ziemba, L. D., Winstead, E. L., Anderson, B. E., et al. (2021) · Atmospheric measurement techniques · doi:10.5194/amt-14-4517-2021 · Cited by 122 · see citing works
Eastern Pacific Emitted Aerosol Cloud Experiment
Russell, L. M., Sorooshian, A., Seinfeld, J. H., Albrecht, B. A., Nenes, A., Ahlm, L., Chen, Y.-C., Coggon, M., Craven, J. S., Flagan, R. C., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-12-00015.1 · Cited by 121 · see citing works
‘Oceanographic processes of coral reefs. Physical and biological links in the Great Barrier Reef’
Crossland, C. J. (2002) · Continental Shelf Research · doi:10.1016/s0278-4343(01)00081-4 · Cited by 120 · see citing works
Bates, T. S., Quinn, P. K., Johnson, J. E., Corless, A., Brechtel, F. J., Stalin, S. E., Meinig, C., & Burkhart, J. F. (2013) · Atmospheric Measurement Techniques · doi:10.5194/amt-6-2115-2013 · Cited by 119 · see citing works
Marine cloud brightening – as effective without clouds
Ahlm, L., Jones, A., Stjern, C. W., Muri, H., Kravitz, B., & Kristjánsson, J. E. (2017) · Atmospheric chemistry and physics · doi:10.5194/acp-17-13071-2017 · Cited by 108 · see citing works
Wood, R. (2021) · Atmospheric chemistry and physics · doi:10.5194/acp-21-14507-2021 · Cited by 99 · see citing works
Braga, R. C., Rosenfeld, D., Weigel, R., Jurkat, T., Andreae, M. O., Wendisch, M., Pöschl, U., Voigt, C., Mahnke, C., Borrmann, S., et al. (2017) · Atmospheric chemistry and physics · doi:10.5194/acp-17-14433-2017 · Cited by 95 · see citing works
Self-citationLarge-scale interventions may delay decline of the Great Barrier Reef
Condie, S. A., Anthony, K. R. N., Babcock, R. C., Baird, M. E., Beeden, R., Fletcher, C. S., Gorton, R., Harrison, D. P., Hobday, A. J., Plagányi, É. E., et al. (2021) · Royal Society Open Science · doi:10.1098/rsos.201296 · Cited by 93 · see citing works
Self-citationLaing, J. R., Jaffe, D. A., & Sedlacek, A. J. (2019) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2019.06.0298 · Cited by 83 · see citing works
Marine cloud brightening: regional applications
Latham, J., Gadian, A. M., Fournier, J., Parkes, B., Wadhams, P., & Chen, C. (2014) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2014.0053 · Cited by 80 · see citing works
Response to marine cloud brightening in a multi-model ensemble
Stjern, C. W., Muri, H., Ahlm, L., Boucher, O., Cole, J. N. S., Ji, D., Jones, A., Haywood, J., Kravitz, B., Lenton, A. A., et al. (2018) · Atmospheric chemistry and physics · doi:10.5194/acp-18-621-2018 · Cited by 77 · see citing works
Diamond, M., Gettelman, A., Lebsock, M., McComiskey, A. C., Russell, L. M., Wood, R., & Feingold, G. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2118379119 · Cited by 60 · see citing works
Alterskjær, K., & Kristjánsson, J. E. (2013) · Geophysical Research Letters · doi:10.1029/2012gl054286 · Cited by 57 · see citing works
Latham, J. (2002) · Atmospheric Science Letters · doi:10.1006/asle.2002.0099 · Cited by 49 · see citing works
Can marine cloud brightening reduce coral bleaching?
Latham, J., Kleypas, J. A., Hauser, R., Parkes, B., & Gadian, A. M. (2013) · Atmospheric Science Letters · doi:10.1002/asl2.442 · Cited by 45 · see citing works
HIAPER: THE NEXT GENERATION NSF/NCAR RESEARCH AIRCRAFT
Laursen, K. K., Jorgensen, D. P., Brasseur, G. P., Ustin, S. L., & Huning, J. R. (2006) · Bulletin of the American Meteorological Society · doi:10.1175/bams-87-7-896 · Cited by 45 · see citing works
Resolution and Accuracy of an Airborne Scanning Laser System for Beach Surveys
Middleton, J. H., Cooke, C. G., Kearney, E. T., Mumford, P. J., Mole, M. A., Nippard, G. J., Rizos, C., Splinter, K. D., & Turner, I. L. (2013) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/jtech-d-12-00174.1 · Cited by 41 · see citing works
Using airborne technology to quantify and apportion emissions of CH4 and NH3 from feedlots
Hacker, J., Chen, D., Bai, M., Ewenz, C. M., Junkermann, W., Lieff, W., McManus, J. B., Neininger, B., Sun, J., Coates, T., et al. (2016) · Animal Production Science · doi:10.1071/an15513 · Cited by 40 · see citing works
Cooper, G., Foster, J. D., Galbraith, L., Jain, S., Neukermans, A. P., & Ormond, B. (2014) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2014.0055 · Cited by 28 · see citing works
Defining success and limits of field experiments to test geoengineering by marine cloud brightening
Wood, R., & Ackerman, T. P. (2013) · Climatic Change · doi:10.1007/s10584-013-0932-z · Cited by 26 · see citing works
Ultrafine particles over Eastern Australia: an airborne survey
Junkermann, W., & Hacker, J. (2015) · Tellus B · doi:10.3402/tellusb.v67.25308 · Cited by 26 · see citing works
Braga, R. C., Rosenfeld, D., Krüger, O. O., Ervens, B., Holanda, B. A., Wendisch, M., Krisna, T. C., Pöschl, U., Andreae, M. O., Voigt, C., et al. (2021) · Atmospheric chemistry and physics · doi:10.5194/acp-21-14079-2021 · Cited by 23 · see citing works
Self-citationA Review of Some Experimental Spray Methods for Marine Cloud Brightening
Cooper, G., Johnston, D. M., Foster, J. D., Galbraith, L., Neukermans, A. P., Ormond, R., Rush, J., & Wang, Q. (2013) · International Journal of Geosciences · doi:10.4236/ijg.2013.41009 · Cited by 22 · see citing works
Supervised Vicarious Calibration (SVC) of Multi-Source Hyperspectral Remote-Sensing Data
Brook, A., & Ben‐Dor, E. (2015) · Remote Sensing · doi:10.3390/rs70506196 · Cited by 22 · see citing works
Hernandez-Jaramillo, D. C., Harrison, L., Kelaher, B., Ristovski, Z., & Harrison, D. P. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c04793 · Cited by 19 · see citing works
Self-citationJenkins, A. K. L., & Forster, P. M. D. F. (2013) · Atmospheric Science Letters · doi:10.1002/asl2.434 · Cited by 16 · see citing works
Comparison of aerosol measurement systems during the 2016 airborne ARISTO campaign
Ortega, J., Snider, J. R., SMITH, J. N. M., & Reeves, J. M. (2019) · Aerosol Science and Technology · doi:10.1080/02786826.2019.1610554 · Cited by 13 · see citing works
Sub-micrometer salt aerosol production intended for marine cloud brightening
Neukermans, A. P., Cooper, G., Foster, J. D., Gadian, A. M., Galbraith, L., Jain, S., Latham, J., & Ormond, B. (2013) · Atmospheric Research · doi:10.1016/j.atmosres.2013.10.025 · Cited by 12 · see citing works
Modelling artificial sea salt emission in large eddy simulations
Maalick, Z., Korhonen, H., Kokkola, H., Kühn, T., & Romakkaniemi, S. (2014) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2014.0051 · Cited by 11 · see citing works
Satellite‐Based Detection of Secondary Droplet Activation in Convective Clouds
Efraim, A., Lauer, O., Rosenfeld, D., Braga, R. C., Franco, M. A., Kremper, L. A., Zhu, Y., Pöschl, U., Pöhlker, C., Andreae, M. O., et al. (2022) · Journal of Geophysical Research Atmospheres · doi:10.1029/2022jd036519 · Cited by 10 · see citing works
Self-citationFoster, J. D., Cooper, G., Galbrath, L., Jain, S., Ormond, R., & Neukermans, A. P. (2020) · International Journal of Geosciences · doi:10.4236/ijg.2020.119030 · Cited by 8 · see citing works
Pendall, E. G., Hewitt, A. C., Boer, M. M., Carrillo, Y., Glenn, N. F., Griebel, A., Middleton, J. H., Mumford, P. J., Ridgeway, P., Rymer, P. D., et al. (2022) · Climate · doi:10.3390/cli10060086 · Cited by 8 · see citing works
Plume analysis from field evaluations of a portable air quality monitoring system
Marto, J. P., Zhang, J., & Schwab, J. J. (2020) · Journal of the Air & Waste Management Association · doi:10.1080/10962247.2020.1834010 · Cited by 6 · see citing works
Spady, B. L., Skirving, W., Liu, G., Cour, J. L. D. L., McDonald, C. J., & Manzello, D. P. (2022) · F1000Research · doi:10.12688/f1000research.108724.3 · Cited by 6 · see citing works
Final Project Report - ARM CLASIC CIRPAS Twin Otter Aerosol
OGREN, J. A. (2010) · doi:10.2172/974574 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 9
- Stocker T. F., Qin D., Plattner G.-K., Tignor M., Allen S. K., Doschung J., et al., Cambridge University Press, 2014. pp. 571-658.
- B. Kravitz, P. M. Forster, A. Jones, A. Robock, K. Alterskjær, O. Boucher, et al., Sea spray geoengineering experiments in the Geoengineering Model Intercomparison Project (GeoMIP): experimental design and preliminary results, J. Geophys. Res., 2013, 118, 11175-11186.
- A. Jones, J. Haywood and O. Boucher, Climate impacts of geoengineering marine stratocumulus clouds, J. Geophys. Res.: Atmos., 2009, 114, D10106.
- K. Alterskjær, J. E. Kristjansson and Ø. Seland, Sensitivity to deliberate sea salt seeding of marine clouds -observations and model simulations, Atmos. Chem. Phys. Discuss., 2011, 11, 29527-29559.
- Wolanski E. and Kingsford M. J., Boca Raton, Fla, CRC Press, 2nd edn, 2024.
- O. Hoegh-Guldberg, Climate change, coral bleaching and the future of the world's coral reefs, Mar. Freshwater Res., 1999, 50, 839-866.
- K. K. Laursen, D. P. Jorgensen, G. P. Brasseur, S. L. Ustin and A. J. R. Huning, HIAPER: The new generation NSF/NCAR research aircra, Bull. Am. Meteorol. Soc., 2006, 87(7), 896-910.
- D. Rosenfeld, W. L. Woodley, D. Axisa, E. Freud, J. G. Hudson and A. Givati, Aircra measurements of the impacts of pollution aerosols on clouds and precipitation over the Sierra Nevada, J. Geophys. Res., 2008, 113, D15203.
- W. D. King, D. A. Parkin and R. J. Handsworth, A Hot-Wire Liquid Water Device Having Fully Calculable Response Characteristics, J. Appl. Meteorol. Climatol., 1978, 17(12), 1809-1813.
Cited by
Sorted by citations
Potential Impacts of Climate Interventions on Marine Ecosystems
Roberts, K. D., Rohr, T. W., Raven, M. R., Diamond, M., Visioni, D., Kravitz, B., Heneghan, R., Petrik, C. M., Bianchi, D., Ortega‐Cisneros, K., et al. (2026) · Reviews of Geophysics · doi:10.1029/2024rg000876 · Cited by 19 · see citing works
Chun, J.-Y., Wood, R., Blossey, P. N., & Doherty, S. J. (2025) · Atmospheric chemistry and physics · doi:10.5194/acp-25-5251-2025 · Cited by 7 · see citing works
Braga, R. C., Rosenfeld, D., Hernandez, D., Medcraft, C., Efraim, A., Moser, M., Lucke, J., Doss, A., & Harrison, D. P. (2025) · Atmospheric Research · doi:10.1016/j.atmosres.2025.107928 · Cited by 7 · see citing works
Self-citationRyan, R. G., Eckert, C., Kelaher, B. P., Harrison, D. P., & Schofield, R. (2024) · Journal of Southern Hemisphere Earth System Science · doi:10.1071/es24008 · Cited by 4 · see citing works
Self-citationHernandez‐Galindo, I., Määttänen, A., Redmond Roche, B. H., Boucher, O., Irvine, P. J., & Moore, J. C. (2026) · Earth's Future · doi:10.1029/2025ef007254 · Cited by 2 · see citing works
“The GBR trials uniquely focused on the practical challenges of modifying aircraft for sustained in‐ cloud sampling (Hernandez‐Jaramillo et al., 2024, 2025).”
InfluentialHirasawa, H., Henry, M., Rasch, P. J., Wood, R., Doherty, S. J., Haywood, J., Wong, A., Lamarque, J., Brody, E., & Wang, H. (2026) · Geoscientific model development · doi:10.5194/gmd-19-3257-2026 · Cited by 2 · see citing works
Roche, B. H. R., Hernandez‐Galindo, I., Määttänen, A., Moore, J. C., Boucher, O., Dollner, M., Duffey, A., Gasparini, B., Henneberger, J., Koyun, A. N., et al. (2026) · Earth s Future · doi:10.1029/2025ef007303 · Cited by 3 · see citing works
Horchler, E. J., Alroe, J., Harrison, L. P., Cravigan, L. T., Harrison, D. P., & Ristovski, Z. (2025) · Atmospheric chemistry and physics · doi:10.5194/acp-25-10075-2025 · Cited by 2 · see citing works
Self-citationZhang, M., Zhang, Y., Wang, Y., Liang, J., Yue, Z., Song, W., & Han, G. (2025) · Atmosphere · doi:10.3390/atmos16070793 · Cited by 1 · see citing works
Ryan, R. G., Toms-Hardman, L. D., Smirnov, A., Harrison, D. P., & Schofield, R. (2025) · Atmospheric chemistry and physics · doi:10.5194/acp-25-11183-2025 · Cited by 1 · see citing works
Self-citationVisioni, D., Narenpitak, P., & Honegger, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-96026-7.00170-3
Visioni, D., Narenpitak, P., & Honegger, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-15748-6.00003-4
Coral reef exposure increases aerosol and cloud condensation nuclei over the Great Barrier Reef
Sulo, J., Okuljar, M., Alroe, J., Li, Z., Horchler, E. J., Cravigan, L. T., Miljevic, B., Harrison, L. P., Harrison, D. P., & Ristovski, Z. (2026) · Aerosol Research · doi:10.5194/ar-4-413-2026
Self-citation
- Authors
- Hernandez-Jaramillo, D. C., Medcraft, C., Braga, R. C., Butcherine, P., Doss, A., Kelaher, B., Rosenfeld, D., & Harrison, D. P.
- Affiliations
- Southern Cross University (AU)
- Hebrew University of Jerusalem (IL)
- Corresponding author
- Hernandez-Jaramillo, Diana C.
- ORCID
- Venue
- Environmental Science: Atmospheres
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2024
- Volume
- 4
- Issue
- 8
- Pages
- 861-871
- ISSN
- 2634-3606 (ISSN-L)
- OpenAlex
- W4400059161
- Cited by
- 13
- References
- 58
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 2
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Environmental Science Atmospheres (publishedVersion, cc-by-nc)
- Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion)
- Funders
- Great Barrier Reef Foundation
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Keywords
- cumulus clouds, cloud microphysical properties, aerosol-cloud interactions, Great Barrier Reef
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