8-Year ground-based observational analysis about the seasonal variation of the aerosol-cloud droplet effective radius relationship at SGP site

Qiu, Yanmei; Zhao, Chuanfeng; Guo, Jianping; Li, Jiming

doi:10.1016/j.atmosenv.2017.06.002

Cited by 63 publications

(41 citation statements)

References 55 publications

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“…Note that the altitude has been normalized by setting cloud bases as 0 and cloud tops as 1. Similar to the findings over various locations by previous studies (Qiu et al, 2017; Yang et al, 2019; Zhao et al, 2018; Zhao, Zhao, et al, 2019), both cloud LWC and r e increase with height within clouds due to the adiabatic or near‐adiabatic cooling. Moreover, cloud droplet N d varies little with heights within clouds.…”

Section: Evaluation Analysis Of Satellite Retrievalssupporting

confidence: 89%

Evaluation of Cloud Microphysical Properties Derived From MODIS and Himawari‐8 Using In Situ Aircraft Measurements Over the Southern Ocean

Zhao

Wang

et al. 2020

Earth and Space Science

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Cloud microphysical properties from aircraft measurements during the Southern Ocean Clouds, Radiation, Aerosol Transport Experimental Study are used to evaluate the cloud products from the geostationary satellite Himawari-8 (H-8) and the polar-orbiting satellite the Moderate Resolution Imaging Spectroradiometer (MODIS). Compared to the in situ aircraft observations when aircraft flew horizontally near cloud tops, the cloud droplet effective radius (r e ) and number concentration (N d ) from H-8 (MODIS) are 33% (26%-31%) and 2% (9-13%) larger. Both the H-8 and MODIS retrievals behave similarly for liquid-only and mixed-phase low-level clouds, indicating the weak sensitivity of the satellite cloud retrieval performance to cloud phase. The r e and N d of the cloud profiles from aircraft measurements were also used to compare with the satellite product. It shows that H-8 r e and N d agree better with aircraft measurements when considering only the in situ data acquired in the upper portions (highest 20%) of the clouds. Roughly, the r e overestimation by H-8 decreases from 18% to 3% when considering the upper portions of clouds compared to all cloud layer averages, except for one case with drizzles appeared. In addition, the performance of MODIS r e and N d is highly dependent on the wavelengths the retrieval method uses. The droplet r e retrievals using wavelength of 1.6 μm have much larger biases than that using the other two channels. The potential effects of the cloud vertical variation and the photon penetration depth, the cloud heterogeneity, the cloud droplet size spectra, and the drizzle on satellite retrievals have also been discussed. is a co-corresponding author with Chuanfeng Zhao Key Points:• Himawari-8 (MODIS) cloud product overestimates r e near cloud top by 33% (26-31%) over Southern Ocean • Himawari8 r e and N d agree better with aircraft measurements when considering only the in situ data acquired in the upper portions of clouds • The performance of MODIS retrievals depends on the wavelength, with larger biases at 1.6 μm than 2.1 and 3.7 μm

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Section: Evaluation Analysis Of Satellite Retrievalssupporting

confidence: 89%

Evaluation of Cloud Microphysical Properties Derived From MODIS and Himawari‐8 Using In Situ Aircraft Measurements Over the Southern Ocean

Zhao

Wang

et al. 2020

Earth and Space Science

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“…However, aerosol–cloud interactions are highly uncertain due to various influencing factors, such as aerosol microphysics (Dusek et al, ; Nenes et al, ), vertical velocity (Koren et al, ; Yang et al, ), lower tropospheric stability (Ma et al, ; Jia, Ma, Quass, et al, ), wind shear (Fan et al, ), and precipitable water vapor (Qiu et al, ; Yuan et al, ). Recent satellite‐based studies showed that cloud droplet number concentration N d (cloud droplets effective radius R e ) tends to decrease (increase) with elevated aerosol loading (Yuan et al, ; Wang et al, ; Ma et al, ; Jia, Ma, Quass, et al, ).…”

Section: Introductionmentioning

confidence: 99%

Distinct Impacts of Increased Aerosols on Cloud Droplet Number Concentration of Stratus/Stratocumulus and Cumulus

Jia

et al. 2019

Geophysical Research Letters

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In situ aircraft measurements obtained during the RACORO field campaign are analyzed to study the aerosol effects on different cloud regimes. The results show that with increasing cloud condensation nuclei (CCN), cloud droplet number concentration (Nd) significantly increases in stratocumulus (Sc) while remains almost unchanged in cumulus (Cu). By using a new approach to strictly constrain the dynamics in Cu, we found that neither simultaneously changing cloud dynamics nor dilution of cloud water induced by entrainment‐mixing can explain the observed insensitivity of Nd. The different degree of reduction in cloud supersaturation caused by increasing aerosols might be responsible for the observed different aerosol indirect effect between Sc and Cu.

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“…Many studies have shown that aerosol can change the cloud microphysical properties (Berg et al, ; Feingold et al, ; Garrett & Zhao, ; Garrett et al, ; Jiang et al, ; Twomey, ; Kim et al, ; Pandithurai et al, ; Qiu et al, ; Wang et al, ; Zhao, Klein, et al, ). In general, aerosol loading can increase the cloud droplet number concentration and decrease cloud droplet effective radius ( r e ) when cloud liquid water content (LWC) is fixed, which is defined as aerosol first indirect effect, cloud albedo effect, or Twomey effect (Twomey, ).…”

Section: Introductionmentioning

confidence: 99%

“…Quantification of aerosol‐cloud droplet r e relationship is very uncertain due to various influential factors, including the cloud types (Jung et al, ; Zhao, Klein, et al, ), the aerosol properties such as the mixing state (Chen & Penner, ; Nenes et al, ; Wang et al, ), and the meteorology conditions such as the precipitable water vapor (Qiu et al, ; Yuan et al, ), vertical wind shear (Jiang et al, ; Kim et al, ), and lower tropospheric stability (Wang et al, ). Actually, the quantification of aerosol‐cloud r e relationship even varies with the observational platforms such as satellite (Grandey & Stier, ; Li et al, ; Nakajima et al, ; Quaas et al, ; Shao & Liu, , ; Wang et al, ) and ground surface or aircraft (Feingold et al, ; Heymsfield & McFarquhar, ; McComiskey et al, ).…”

Section: Introductionmentioning

confidence: 99%

Negative Aerosol‐Cloud r_e Relationship From Aircraft Observations Over Hebei, China

Zhao

Qiu

Dong

et al. 2018

Earth and Space Science

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105

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Using six flights observations in September 2015 over Hebei, China, this study shows a robust negative aerosol‐cloud droplet effective radius (re) relationship for liquid clouds, which is different from previous studies that found positive aerosol‐cloud re relationship over East China using satellite observations. A total of 27 cloud samples was analyzed with the classification of clean and polluted conditions using lower and upper 1/3 aerosol concentration at 200 m below the cloud bases. By normalizing the profiles of cloud droplet re, we found significant smaller values under polluted than under clean condition at most heights. Moreover, the averaged profiles of cloud liquid water content (LWC) show larger values under polluted than clean conditions, indicating even stronger negative aerosol‐cloud re relationship if LWC is kept constant. The droplet size distributions further demonstrate that more droplets concentrate within smaller size ranges under polluted conditions. Quantitatively, the aerosol‐cloud interaction is found around 0.10–0.19 for the study region.

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8-Year ground-based observational analysis about the seasonal variation of the aerosol-cloud droplet effective radius relationship at SGP site

Cited by 63 publications

References 55 publications

Evaluation of Cloud Microphysical Properties Derived From MODIS and Himawari‐8 Using In Situ Aircraft Measurements Over the Southern Ocean

Evaluation of Cloud Microphysical Properties Derived From MODIS and Himawari‐8 Using In Situ Aircraft Measurements Over the Southern Ocean

Distinct Impacts of Increased Aerosols on Cloud Droplet Number Concentration of Stratus/Stratocumulus and Cumulus

Negative Aerosol‐Cloud r_e Relationship From Aircraft Observations Over Hebei, China

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8-Year ground-based observational analysis about the seasonal variation of the aerosol-cloud droplet effective radius relationship at SGP site

Cited by 63 publications

References 55 publications

Evaluation of Cloud Microphysical Properties Derived From MODIS and Himawari‐8 Using In Situ Aircraft Measurements Over the Southern Ocean

Evaluation of Cloud Microphysical Properties Derived From MODIS and Himawari‐8 Using In Situ Aircraft Measurements Over the Southern Ocean

Distinct Impacts of Increased Aerosols on Cloud Droplet Number Concentration of Stratus/Stratocumulus and Cumulus

Negative Aerosol‐Cloud re Relationship From Aircraft Observations Over Hebei, China

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Negative Aerosol‐Cloud r_e Relationship From Aircraft Observations Over Hebei, China