ヒューストンの発電所が雲形成エアロゾルの主要発生源であることを特定(Scientists Identify Houston Power Plant as Dominant Source of Cloud-Forming Aerosols)

2026-06-29 カリフォルニア大学サンディエゴ校(UCSD)

カリフォルニア大学サンディエゴ校のスクリップス海洋研究所の研究チームは、米国テキサス州ヒューストン上空で雲形成を促進するエアロゾルの主要発生源が、石炭火力発電所「W.A. Parish発電所」であることを航空機観測により特定した。研究では2022年5~6月に24回の飛行観測を実施し、雲凝結核(CCN)となる粒子の濃度を高精度機器で測定したほか、地上のエアロゾル観測施設やレーダーデータを組み合わせて解析した。その結果、発電所から放出された粒子はヒューストン中心部を通過し、110km以上風下まで広がり、都市交通や製油所など他の発生源よりも雲形成や地域の大気質に大きな影響を与えていることが判明した。また、これらの粒子は肺の深部まで到達しやすい大きさであり、公衆衛生上の懸念も示唆された。本研究は、大気汚染と雲形成、夏季の対流性降雨を結び付ける重要な知見を提供し、気象予測モデルや大気環境評価の高度化に貢献すると期待される。

<関連情報>

海洋エアロゾルから製油所排出物へ:ヒューストン都市圏における雲凝結核(CCN)の輸送と変化、および雲形成への影響 Marine Aerosol to Refinery Emissions: Transport and Evolution of CCN in the Houston Metropolitan Area and Their Impact on Cloud Formation

G. C. Roberts, K. Ranjbar, L. Nichman, M. Wolde, C. S. McCluskey, A. Takeishi, R. Patnaude, S. Patil, G. M. McFarquhar, P. Kollias
Journal of Geophysical Research: Atmospheres  Published: 28 June 2026
DOI:https://doi.org/10.1029/2025JD044628

ヒューストンの発電所が雲形成エアロゾルの主要発生源であることを特定(Scientists Identify Houston Power Plant as Dominant Source of Cloud-Forming Aerosols)

Abstract

The Experiment of Sea Breeze Convection, Aerosols, Precipitation and Environment (ESCAPE) campaign aimed to untangle the impacts of contrasting aerosol sources on cloud microphysical properties within deep convective cells using airborne observations with the National Research Council Canada (NRC) Convair CV-580 research aircraft. Horizontal and vertical gradients of aerosol number size distributions, total aerosol concentrations and cloud condensation nuclei (CCN) spectra were measured in the lower troposphere to quantify the impact of different aerosol sources on aerosol-cloud interactions. This study focuses on a research flight dedicated to characterizing the aerosol and CCN properties in the Houston Metropolitan region and identifies five main categories of aerosols based on characteristics of aerosol number size distributions, their CCN properties and meteorological conditions. These categories encompassed more than two orders of magnitude differences in aerosol and CCN concentrations, yet their hygroscopic properties remained similar. Aerosol number size distributions and effective hygroscopicity parameters are used to generate continuous CCN spectra to represent the major aerosol types. The different CCN spectra are then incorporated into a 1-D aerosol-cloud parcel model using a large range of updrafts selected in the range of those observed during the ESCAPE campaign to assess the impact of the major aerosol sources in Houston on deep convective cloud microphysical properties.

Plain Language Summary

The ESCAPE (Experiment of Sea Breeze Convection, Aerosols, Precipitation, and Environment) campaign identified the different sources of air pollution in and around Houston and how these sources impact cloud formation and rain. Scientists used an instrumented research aircraft to fly over the metropolitan area and identified five main categories of polluted air, which varied widely in concentration and cloud-forming ability. Using these findings, we show how a simple cloud model predicts the impact of aerosols on cloud growth in deep convection. These findings contrast how clean marine and polluted air impacts weather and climate.

 

準定常状態の過飽和度:ESCAPEから得られた高い値は、実際の高い過飽和度と凝縮活性化の可能性を表しているのだろうか? Quasi-Steady State Supersaturation: Do High Values Derived From ESCAPE Represent Real High Supersaturations and the Potential for Condensational Invigoration?

Saurabh Patil, Greg McFarquhar, Yongjie Huang, Gregory Roberts, Mengistu Wolde, Leonid Nichman, Cuong M Nguyen, Keyvan Ranjbar, Natalia Bliankinshtein, Amanda Richter, Pavlos Kollias, and Daniel Rosenfeld
Journal of Geophysical Research: Atmospheres  Published: 10 June 2026
DOI:https://doi.org/10.1029/2025JD045547

Abstract

Deep convective clouds were intensively sampled during the Experiment of Sea Breeze Convection, Aerosols, Precipitation, and Environment (ESCAPE) with coordinated flights of the NRC Convair-580 and SPEC Learjet. A total of 219 updraft core segments were sampled over coastal Texas and Louisiana under diverse meteorological conditions. Median updraft properties included widths of ∼1 km, velocities of 4.8 m s−1, droplet number concentrations of ∼400 cm−3, and liquid water contents of 0.9 g m−3. The limitations of using the quasi-steady state approximation to derive supersaturations were explored. Supersaturation (SQSS) estimated from in situ observations under a quasi-steady state assumption averaged 0.4% but occasionally exceeded 2%, with values >1% (high supersaturations) identified as statistical outliers. Two case studies illustrated the conditions linked to high supersaturations. In a storm over the Gulf, median core SQSS reached 2.46% in the developing stage compared to 2.17% in the mature stage under similar thermodynamic conditions. In a storm over coastal Louisiana, SQSS peaked near 11% within a 13.7-m s−1 updraft, accompanied by predominantly supercooled liquid droplets at −13°C and exceptionally low diameter concentrations of 0.29 mm cm−3. Bootstrap analysis of all sampled cores showed that high supersaturations are most probable in cold and mixed-phase regimes with moderate to strong updrafts and are strongly influenced by vertical velocity and droplet number concentrations. While extreme supersaturations (∼10%) were rare, their occurrence underscores the need for targeted multiplatform observations to resolve their spatiotemporal variability and assess their potential role in deep convective invigoration.

Plain Language Summary

Scientists studied thunderstorms along the Texas and Louisiana coasts using research aircraft. They found that most of the rising air currents, or updrafts, were about a kilometer wide and carried large amounts of water upward at average speeds near 5 m per second. Most updrafts showed only slightly higher humidity than saturation, known as supersaturation, but a few cases revealed much higher excesses. In one Gulf storm, a developing cell contained higher supersaturation than a nearby mature cell. In a Louisiana storm, supersaturation briefly reached 11 percent within a strong updraft, allowing liquid water to persist at very low temperatures. Although rare, these brief but extreme conditions may play an important role in storm intensification in polluted environments. Because they are short-lived and difficult to measure, more coordinated aircraft and instrument observations are needed to better understand their impact on extreme weather.

 

雲における乾燥空気の巻き込みによって生じる不均一混合の支配的な特徴の解釈 Interpreting the dominant signature of inhomogeneous mixing resulting from dry-air entrainment in clouds

Nithin Allwayin, Gregory Roberts, Elise Rosky, Kenny Bala, […] , and Raymond A. Shaw
Science Advances  Published:20 May 2026
DOI:https://doi.org/10.1126/sciadv.aeb6751

Abstract

How cloud droplets evaporate when mixed with the dry surrounding air is fundamental to cloud optical properties and lifetime. We find from observations in cumulus clouds made during the ESCAPE field campaign that this mixing process appears strongly inhomogeneous-like, where a subset of droplets evaporate completely as mixing proceeds, rather than all droplets partially evaporating. We visualize the microphysical properties in a two-dimensional evaporation-phase-relaxation space and find that a diffusive turbulent-evaporation model is able to capture the dynamic evolution of the entrainment process. The results indicate that the first evaporating droplets humidify the region around the cloud so that the unmixed dry air rarely reaches the core, explaining why most mixing events appear inhomogeneous. A mixing slope parameter also confirms the nature of the mixing process. On the basis of the inhomogeneous mixing model, we propose a simple parameterization of cloud optical properties suitable for coarse-resolution models.

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