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Title: Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations: NE Pacific Aerosol-Cloud Interactions

Abstract

Ship measurements collected over the northeast Pacific along transects between the port of Los Angeles (33.7°N, 118.2°W) and Honolulu (21.3°N, 157.8°W) during May to August 2013 were utilized to investigate the covariability between marine low cloud microphysical and aerosol properties. Ship-based retrievals of cloud optical depth (τ) from a Sun photometer and liquid water path (LWP) from a microwave radiometer were combined to derive cloud droplet number concentration Nd and compute a cloud-aerosol interaction (ACI) metric defined as ACICCN = ∂ ln(Nd)/∂ ln(CCN), with CCN denoting the cloud condensation nuclei concentration measured at 0.4% (CCN0.4) and 0.3% (CCN0.3) supersaturation. Analysis of CCN0.4, accumulation mode aerosol concentration (Na), and extinction coefficient (σext) indicates that Na and σext can be used as CCN0.4 proxies for estimating ACI. ACICCN derived from 10 min averaged Nd and CCN0.4 and CCN0.3, and CCN0.4 regressions using Na and σext, produce high ACICCN: near 1.0, that is, a fractional change in aerosols is associated with an equivalent fractional change in Nd. ACICCN computed in deep boundary layers was small (ACICCN = 0.60), indicating that surface aerosol measurements inadequately represent the aerosol variability below clouds. Satellite cloud retrievals from MODerate-resolution Imaging Spectroradiometer and GOES-15 data were compared againstmore » ship-based retrievals and further analyzed to compute a satellite-based ACICCN. Satellite data correlated well with their ship-based counterparts with linear correlation coefficients equal to or greater than 0.78. Combined satellite Nd and ship-based CCN0.4 and Na yielded a maximum ACICCN = 0.88–0.92, a value slightly less than the ship-based ACICCN, but still consistent with aircraft-based studies in the eastern Pacific.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [6]; ORCiD logo [7]; ORCiD logo [8]; ORCiD logo [3]; ORCiD logo [9]
  1. Science Systems and Applications, Inc., Hampton Virginia USA; NASA Langley Research Center, Hampton Virginia USA
  2. Department of Meteorology, University of Reading, Reading UK
  3. NASA Langley Research Center, Hampton Virginia USA
  4. Science Systems and Applications, Inc., Hampton Virginia USA
  5. Department of Atmospheric and Oceanic Sciences, McGill University, Montreal Quebec Canada
  6. Environmental Science Division, Argonne National Laboratory, Lemont Illinois USA
  7. Space Science and Engineering Center, University of Wisconsin-Madison, Madison Wisconsin USA
  8. Brookhaven National Laboratory, Upton New York USA
  9. School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook New York USA
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science - Office of Biological and Environmental Research - Atmospheric Radiation Measurement (ARM) Program; National Aeronautic and Space Administration (NASA)
OSTI Identifier:
1376888
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 122; Journal Issue: 4; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English

Citation Formats

Painemal, David, Chiu, J. -Y. Christine, Minnis, Patrick, Yost, Christopher, Zhou, Xiaoli, Cadeddu, Maria, Eloranta, Edwin, Lewis, Ernie R., Ferrare, Richard, and Kollias, Pavlos. Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations: NE Pacific Aerosol-Cloud Interactions. United States: N. p., 2017. Web. doi:10.1002/2016JD025771.
Painemal, David, Chiu, J. -Y. Christine, Minnis, Patrick, Yost, Christopher, Zhou, Xiaoli, Cadeddu, Maria, Eloranta, Edwin, Lewis, Ernie R., Ferrare, Richard, & Kollias, Pavlos. Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations: NE Pacific Aerosol-Cloud Interactions. United States. https://doi.org/10.1002/2016JD025771
Painemal, David, Chiu, J. -Y. Christine, Minnis, Patrick, Yost, Christopher, Zhou, Xiaoli, Cadeddu, Maria, Eloranta, Edwin, Lewis, Ernie R., Ferrare, Richard, and Kollias, Pavlos. Mon . "Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations: NE Pacific Aerosol-Cloud Interactions". United States. https://doi.org/10.1002/2016JD025771.
@article{osti_1376888,
title = {Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations: NE Pacific Aerosol-Cloud Interactions},
author = {Painemal, David and Chiu, J. -Y. Christine and Minnis, Patrick and Yost, Christopher and Zhou, Xiaoli and Cadeddu, Maria and Eloranta, Edwin and Lewis, Ernie R. and Ferrare, Richard and Kollias, Pavlos},
abstractNote = {Ship measurements collected over the northeast Pacific along transects between the port of Los Angeles (33.7°N, 118.2°W) and Honolulu (21.3°N, 157.8°W) during May to August 2013 were utilized to investigate the covariability between marine low cloud microphysical and aerosol properties. Ship-based retrievals of cloud optical depth (τ) from a Sun photometer and liquid water path (LWP) from a microwave radiometer were combined to derive cloud droplet number concentration Nd and compute a cloud-aerosol interaction (ACI) metric defined as ACICCN = ∂ ln(Nd)/∂ ln(CCN), with CCN denoting the cloud condensation nuclei concentration measured at 0.4% (CCN0.4) and 0.3% (CCN0.3) supersaturation. Analysis of CCN0.4, accumulation mode aerosol concentration (Na), and extinction coefficient (σext) indicates that Na and σext can be used as CCN0.4 proxies for estimating ACI. ACICCN derived from 10 min averaged Nd and CCN0.4 and CCN0.3, and CCN0.4 regressions using Na and σext, produce high ACICCN: near 1.0, that is, a fractional change in aerosols is associated with an equivalent fractional change in Nd. ACICCN computed in deep boundary layers was small (ACICCN = 0.60), indicating that surface aerosol measurements inadequately represent the aerosol variability below clouds. Satellite cloud retrievals from MODerate-resolution Imaging Spectroradiometer and GOES-15 data were compared against ship-based retrievals and further analyzed to compute a satellite-based ACICCN. Satellite data correlated well with their ship-based counterparts with linear correlation coefficients equal to or greater than 0.78. Combined satellite Nd and ship-based CCN0.4 and Na yielded a maximum ACICCN = 0.88–0.92, a value slightly less than the ship-based ACICCN, but still consistent with aircraft-based studies in the eastern Pacific.},
doi = {10.1002/2016JD025771},
url = {https://www.osti.gov/biblio/1376888}, journal = {Journal of Geophysical Research: Atmospheres},
issn = {2169-897X},
number = 4,
volume = 122,
place = {United States},
year = {2017},
month = {2}
}

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    Works referencing / citing this record:

    Spatio-temporal variability of warm rain events over southern West Africa from geostationary satellite observations for climate monitoring and model evaluation
    journal, October 2018

    • Young, Matthew P.; Chiu, J. Christine; Williams, Charles J. R.
    • Quarterly Journal of the Royal Meteorological Society, Vol. 144, Issue 716
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    Marine liquid cloud geometric thickness retrieved from OCO-2's oxygen A-band spectrometer
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    The impact of neglecting ice phase on cloud optical depth retrievals from AERONET cloud mode observations
    journal, January 2019