skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

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. 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, 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. doi: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},
journal = {Journal of Geophysical Research: Atmospheres},
issn = {2169-897X},
number = 4,
volume = 122,
place = {United States},
year = {2017},
month = {2}
}

Works referenced in this record:

Stratus cloud supersaturations: STRATUS CLOUD SUPERSATURATIONS
journal, November 2010

  • Hudson, James G.; Noble, Stephen; Jha, Vandana
  • Geophysical Research Letters, Vol. 37, Issue 21
  • DOI: 10.1029/2010GL045197

Large contribution of natural aerosols to uncertainty in indirect forcing
journal, November 2013

  • Carslaw, K. S.; Lee, L. A.; Reddington, C. L.
  • Nature, Vol. 503, Issue 7474
  • DOI: 10.1038/nature12674

Microphysical variability in southeast Pacific Stratocumulus clouds: synoptic conditions and radiative response
journal, January 2010


Influence of humidity on the aerosol scattering coefficient and its effect on the upwelling radiance during ACE-2
journal, January 2000

  • Gassó, S.; Hegg, D. A.; Covert, D. S.
  • Tellus B: Chemical and Physical Meteorology, Vol. 52, Issue 2
  • DOI: 10.3402/tellusb.v52i2.16657

GOES-10 microphysical retrievals in marine warm clouds: Multi-instrument validation and daytime cycle over the southeast Pacific: MARINE CLOUDS MICROPHYSICS FROM GOES-10
journal, October 2012

  • Painemal, David; Minnis, Patrick; Ayers, J. Kirk
  • Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D19
  • DOI: 10.1029/2012JD017822

Assessment of MODIS cloud effective radius and optical thickness retrievals over the Southeast Pacific with VOCALS-REx in situ measurements: MODIS VALIDATION DURING VOCALS-REx
journal, December 2011

  • Painemal, David; Zuidema, Paquita
  • Journal of Geophysical Research: Atmospheres, Vol. 116, Issue D24
  • DOI: 10.1029/2011JD016155

The first aerosol indirect effect quantified through airborne remote sensing during VOCALS-REx
journal, January 2013


Technical Note: Review of methods for linear least-squares fitting of data and application to atmospheric chemistry problems
journal, January 2008


The ARM Mobile Facilities
journal, April 2016


The optical constants of several atmospheric aerosol species: Ammonium sulfate, aluminum oxide, and sodium chloride
journal, November 1976

  • Toon, Owen B.; Pollack, James B.; Khare, Bishun N.
  • Journal of Geophysical Research, Vol. 81, Issue 33
  • DOI: 10.1029/JC081i033p05733

An assessment of aerosol‐cloud interactions in marine stratus clouds based on surface remote sensing
journal, January 2009

  • McComiskey, Allison; Feingold, Graham; Frisch, A. Shelby
  • Journal of Geophysical Research, Vol. 114, Issue D9
  • DOI: 10.1029/2008JD011006

Cloud optical depth retrievals from the Aerosol Robotic Network (AERONET) cloud mode observations
journal, January 2010

  • Chiu, J. Christine; Huang, Chiung-Huei; Marshak, Alexander
  • Journal of Geophysical Research, Vol. 115, Issue D14
  • DOI: 10.1029/2009JD013121

A Note on Computing Robust Regression Estimates Via Iteratively Reweighted Least Squares
journal, May 1988

  • Street, James O.; Carroll, Raymond J.; Ruppert, David
  • The American Statistician, Vol. 42, Issue 2
  • DOI: 10.2307/2684491

Aerosol variability, synoptic-scale processes, and their link to the cloud microphysics over the northeast Pacific during MAGIC: NE PACIFIC CCN AND CLOUD MICROPHYSICS
journal, May 2015

  • Painemal, David; Minnis, Patrick; Nordeen, Michele
  • Journal of Geophysical Research: Atmospheres, Vol. 120, Issue 10
  • DOI: 10.1002/2015JD023175

Observations of marine stratocumulus microphysics and implications for processes controlling droplet spectra: Results from the Marine Stratus/Stratocumulus Experiment
journal, January 2009

  • Wang, Jian; Daum, Peter H.; Yum, Seong Soo
  • Journal of Geophysical Research, Vol. 114, Issue D18
  • DOI: 10.1029/2008JD011035

Correlation between cloud condensation nuclei concentration and aerosol optical thickness in remote and polluted regions
journal, January 2009


Size-resolved CCN distributions and activation kinetics of aged continental and marine aerosol
journal, January 2011

  • Bougiatioti, A.; Nenes, A.; Fountoukis, C.
  • Atmospheric Chemistry and Physics, Vol. 11, Issue 16
  • DOI: 10.5194/acp-11-8791-2011

Quantifying error in the radiative forcing of the first aerosol indirect effect
journal, January 2008

  • McComiskey, Allison; Feingold, Graham
  • Geophysical Research Letters, Vol. 35, Issue 2
  • DOI: 10.1029/2007GL032667

A Continuous-Flow Streamwise Thermal-Gradient CCN Chamber for Atmospheric Measurements
journal, March 2005


Objective Determination of the Noise Level in Doppler Spectra
journal, October 1974


Climate Effects of Aerosol-Cloud Interactions
journal, January 2014


Use of In Situ Data to Test a Raman Lidar–Based Cloud Condensation Nuclei Remote Sensing Method
journal, February 2004


The scale problem in quantifying aerosol indirect effects
journal, January 2012


A simple relationship between cloud drop number concentration and precursor aerosol concentration for the regions of Earth's large marine stratocumulus decks
journal, January 2012

  • Hegg, D. A.; Covert, D. S.; Jonsson, H. H.
  • Atmospheric Chemistry and Physics, Vol. 12, Issue 3
  • DOI: 10.5194/acp-12-1229-2012

The Marine Stratus/Stratocumulus Experiment (MASE): Aerosol-cloud relationships in marine stratocumulus: MASE-AEROSOL-CLOUD RELATIONSHIPS
journal, May 2007

  • Lu, Miao-Ling; Conant, William C.; Jonsson, Haflidi H.
  • Journal of Geophysical Research: Atmospheres, Vol. 112, Issue D10
  • DOI: 10.1029/2006JD007985

Surface-based remote sensing of the observed and the Adiabatic liquid water content of stratocumulus clouds
journal, January 1990

  • Albrecht, Bruce A.; Fairall, Christopher W.; Thomson, Dennis W.
  • Geophysical Research Letters, Vol. 17, Issue 1
  • DOI: 10.1029/GL017i001p00089

Dispelling Clouds of Uncertainty
journal, June 2015


Aircraft millimeter-wave passive sensing of cloud liquid water and water vapor during VOCALS-REx
journal, January 2012

  • Zuidema, P.; Leon, D.; Pazmany, A.
  • Atmospheric Chemistry and Physics, Vol. 12, Issue 1
  • DOI: 10.5194/acp-12-355-2012

Clouds, Precipitation, and Marine Boundary Layer Structure during the MAGIC Field Campaign
journal, March 2015


Aerosol classification using airborne High Spectral Resolution Lidar measurements – methodology and examples
journal, January 2012

  • Burton, S. P.; Ferrare, R. A.; Hostetler, C. A.
  • Atmospheric Measurement Techniques, Vol. 5, Issue 1
  • DOI: 10.5194/amt-5-73-2012

The Atmospheric radiation measurement (ARM) program network of microwave radiometers: instrumentation, data, and retrievals
journal, January 2013

  • Cadeddu, M. P.; Liljegren, J. C.; Turner, D. D.
  • Atmospheric Measurement Techniques, Vol. 6, Issue 9
  • DOI: 10.5194/amt-6-2359-2013

Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances
journal, January 2015

  • Fielding, M. D.; Chiu, J. C.; Hogan, R. J.
  • Atmospheric Measurement Techniques, Vol. 8, Issue 7
  • DOI: 10.5194/amt-8-2663-2015

Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data
journal, January 2009


Observations of the boundary layer, cloud, and aerosol variability in the southeast Pacific near-coastal marine stratocumulus during VOCALS-REx
journal, January 2011

  • Zheng, X.; Albrecht, B.; Jonsson, H. H.
  • Atmospheric Chemistry and Physics, Vol. 11, Issue 18
  • DOI: 10.5194/acp-11-9943-2011

Development and Applications of ARM Millimeter-Wavelength Cloud Radars
journal, April 2016


Calibration and Intercomparison of Filter-Based Measurements of Visible Light Absorption by Aerosols
journal, June 1999

  • Bond, Tami C.; Anderson, Theodore L.; Campbell, Dave
  • Aerosol Science and Technology, Vol. 30, Issue 6
  • DOI: 10.1080/027868299304435

Performance Characteristics of a High-Sensitivity, Three-Wavelength, Total Scatter/Backscatter Nephelometer
journal, October 1996


Unified equations for the slope, intercept, and standard errors of the best straight line
journal, March 2004

  • York, Derek; Evensen, Norman M.; Martı́nez, Margarita López
  • American Journal of Physics, Vol. 72, Issue 3
  • DOI: 10.1119/1.1632486

Evaluation of long-term surface-retrieved cloud droplet number concentration with in situ aircraft observations: ARM Cloud Droplet Number Concentration
journal, March 2016

  • Lim, Kyo-Sun Sunny; Riihimaki, Laura; Comstock, Jennifer M.
  • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 5
  • DOI: 10.1002/2015JD024082

Performance characteristics of the ultra high sensitivity aerosol spectrometer for particles between 55 and 800nm: Laboratory and field studies
journal, September 2008


First extended validation of satellite microwave liquid water path with ship-based observations of marine low clouds: SATELLITE MW MARINE CLOUD VALIDATION
journal, June 2016

  • Painemal, David; Greenwald, Thomas; Cadeddu, Maria
  • Geophysical Research Letters, Vol. 43, Issue 12
  • DOI: 10.1002/2016GL069061

CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data—Part I: Algorithms
journal, November 2011

  • Minnis, Patrick; Sun-Mack, Szedung; Young, David F.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, Issue 11
  • DOI: 10.1109/TGRS.2011.2144601