Aerosol and cloudmicrophysics covariability in the northeast Paci fi c boundary layer estimated with ship-based and satellite remote sensing observations

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 10min 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.

[1]  E. Clothiaux,et al.  Development and Applications of ARM Millimeter-Wavelength Cloud Radars , 2016 .

[2]  Patrick Minnis,et al.  First extended validation of satellite microwave liquid water path with ship‐based observations of marine low clouds , 2016 .

[3]  Mark D. Ivey,et al.  The ARM Mobile Facilities , 2016 .

[4]  L. Riihimaki,et al.  Evaluation of long‐term surface‐retrieved cloud droplet number concentration with in situ aircraft observations , 2016 .

[5]  Jack J. Lin,et al.  The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellite-based CCN estimates , 2015 .

[6]  Maria P. Cadeddu,et al.  Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances , 2015 .

[7]  J. Teixeira,et al.  Dispelling Clouds of Uncertainty , 2015 .

[8]  P. Minnis,et al.  Aerosol variability, synoptic‐scale processes, and their link to the cloud microphysics over the northeast Pacific during MAGIC , 2015 .

[9]  Pavlos Kollias,et al.  Clouds, Precipitation, and Marine Boundary Layer Structure during the MAGIC Field Campaign , 2015 .

[10]  S. Sherwood,et al.  Climate Effects of Aerosol-Cloud Interactions , 2014, Science.

[11]  G. Mann,et al.  Large contribution of natural aerosols to uncertainty in indirect forcing , 2013, Nature.

[12]  David D. Turner,et al.  The Atmospheric radiation measurement (ARM) program network of microwave radiometers: instrumentation, data, and retrievals , 2013 .

[13]  Y. Knyazikhin,et al.  Cloud droplet size and liquid water path retrievals from zenith radiance measurements: examples from the Atmospheric Radiation Measurement Program and the Aerosol Robotic Network , 2012 .

[14]  J. K. Ayers,et al.  GOES‐10 microphysical retrievals in marine warm clouds: Multi‐instrument validation and daytime cycle over the southeast Pacific , 2012 .

[15]  P. Zuidema,et al.  The first aerosol indirect effect quantified through airborne remote sensing during VOCALS-REx , 2012 .

[16]  P. Zuidema,et al.  Aircraft millimeter-wave passive sensing of cloud liquid water and water vapor during VOCALS-REx , 2012 .

[17]  Paquita Zuidema,et al.  Assessment of MODIS cloud effective radius and optical thickness retrievals over the Southeast Pacific with VOCALS‐REx in situ measurements , 2011 .

[18]  H. Jonsson,et al.  A simple relationship between cloud drop number concentration and precursor aerosol concentration for the regions of Earth's large marine stratocumulus decks , 2011 .

[19]  G. Feingold,et al.  The scale problem in quantifying aerosol indirect effects , 2011 .

[20]  Patrick Minnis,et al.  Observations of the boundary layer, cloud, and aerosol variability in the southeast Pacific near-coastal marine stratocumulus during VOCALS-REx , 2011 .

[21]  R. Ferrare,et al.  Aerosol classification using airborne High Spectral Resolution Lidar measurements – methodology and examples , 2011 .

[22]  A. Nenes,et al.  Size-resolved CCN distributions and activation kinetics of aged continental and marine aerosol , 2011 .

[23]  Sunny Sun-Mack,et al.  CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data—Part I: Algorithms , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[24]  J. Hudson,et al.  Stratus cloud supersaturations , 2010 .

[25]  Yuri Knyazikhin,et al.  Cloud optical depth retrievals from the Aerosol Robotic Network (AERONET) cloud mode observations , 2010 .

[26]  P. Zuidema,et al.  Microphysical variability in southeast Pacific Stratocumulus clouds: synoptic conditions and radiative response , 2010 .

[27]  Patrick Minnis,et al.  CERES Edition 3 Cloud Retrievals , 2010 .

[28]  J. Lamarque,et al.  Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data , 2009 .

[29]  J. Seinfeld,et al.  Observations of marine stratocumulus microphysics and implications for processes controlling droplet spectra: Results from the Marine Stratus/Stratocumulus Experiment , 2009 .

[30]  Q. Min,et al.  An assessment of aerosol-cloud interactions in marine stratus clouds based on surface remote sensing , 2009 .

[31]  Patrick Minnis,et al.  Near-real time cloud retrievals from operational and research meteorological satellites , 2008, Remote Sensing.

[32]  Christopher A. Cantrell,et al.  Technical Note: Review of methods for linear least-squares fitting of data and application to atmospheric chemistry problems , 2008 .

[33]  Yong Cai,et al.  Performance characteristics of the ultra high sensitivity aerosol spectrometer for particles between 55 and 800 nm: Laboratory and field studies , 2008 .

[34]  M. Andreae Correlation between cloud condensation nuclei concentration and aerosol optical thickness in remote and polluted regions , 2008 .

[35]  G. Feingold,et al.  Quantifying error in the radiative forcing of the first aerosol indirect effect , 2008 .

[36]  John H. Seinfeld,et al.  The Marine Stratus/Stratocumulus Experiment (MASE): Aerosol‐cloud relationships in marine stratocumulus , 2007 .

[37]  C. Flynn,et al.  Use of in situ cloud condensation nuclei, extinction, and aerosol size distribution measurements to test a method for retrieving cloud condensation nuclei profiles from surface measurements , 2006 .

[38]  Melanie A. Wetzel,et al.  Evaluation of the aerosol indirect effect in marine stratocumulus clouds : droplet number, size, liquid water path, and radiative impact , 2005 .

[39]  A. Nenes,et al.  A Continuous-Flow Streamwise Thermal-Gradient CCN Chamber for Atmospheric Measurements , 2005 .

[40]  Margarita López Martínez,et al.  Unified equations for the slope, intercept, and standard errors of the best straight line , 2004 .

[41]  S. Ghan,et al.  Use of In Situ Data to Test a Raman Lidar Based Cloud Condensation Nuclei Remote Sensing Method , 2004 .

[42]  H. Jonsson,et al.  Influence of humidity on the aerosol scattering coefficient and its effect on the upwelling radiance during ACE-2 , 2000 .

[43]  Tami C. Bond,et al.  Calibration and Intercomparison of Filter-Based Measurements of Visible Light Absorption by Aerosols , 1999 .

[44]  J. Seinfeld,et al.  Atmospheric Chemistry and Physics: From Air Pollution to Climate Change , 1998 .

[45]  Robert J. Charlson,et al.  Performance Characteristics of a High-Sensitivity, Three-Wavelength, Total Scatter/Backscatter Nephelometer , 1996 .

[46]  D. Ruppert,et al.  A Note on Computing Robust Regression Estimates via Iteratively Reweighted Least Squares , 1988 .

[47]  P. Hildebrand,et al.  Objective Determination of the Noise Level in Doppler Spectra , 1974 .

[48]  R. Wagener,et al.  MAGIC Cloud Properties from Zenith Radiance Data Final Campaign Summary , 2016 .

[49]  B. Albrecht,et al.  Surface‐based remote sensing of the observed and the Adiabatic liquid water content of stratocumulus clouds , 1990 .