A High-Altitude Long-Range Aircraft Configured as a Cloud Observatory: The NARVAL Expeditions

A configuration of the High-Altitude Long-Range Research Aircraft (HALO) as a remote sensing cloud observatory is described, and its use is illustrated with results from the first and second Next-Generation Aircraft Remote Sensing for Validation (NARVAL) field studies. Measurements from the second NARVAL (NARVAL2) are used to highlight the ability of HALO, when configured in this fashion, to characterize not only the distribution of water condensate in the atmosphere, but also its impact on radiant energy transfer and the covarying large-scale meteorological conditions—including the large-scale velocity field and its vertical component. The NARVAL campaigns with HALO demonstrate the potential of airborne cloud observatories to address long-standing riddles in studies of the coupling between clouds and circulation and are helping to motivate a new generation of field studies.

[1]  Joseph B. Anderson OBSERVATIONS FROM AIRPLANES OF CLOUD AND FOG CONDITIONS ALONG THE SOUTHERN CALIFORNIA COAST , 1931 .

[2]  J. Malkus,et al.  CLOUD PATTERNS IN HURRICANE DAISY, 1958 , 1961 .

[3]  L. Summers,et al.  Scientific Justification and Development Plan for a Mid-sized Jet Research Aircraft , 1989 .

[4]  M. King,et al.  Determination of the optical thickness and effective particle radius of clouds from reflected solar , 1990 .

[5]  M. King,et al.  Determination of the Optical Thickness and Effective Particle Radius of Clouds from Reflected Solar Radiation Measurements. Part II: Marine Stratocumulus Observations , 1991 .

[6]  R. M. Mitchell,et al.  Absorption feedback in stratocumulus clouds Influence on cloud top albedo , 1994 .

[7]  Brian E. Mapes,et al.  Diabatic Divergence Profiles in Western Pacific Mesoscale Convective Systems , 1995 .

[8]  James L. Franklin,et al.  The NCAR GPS Dropwindsonde , 1999 .

[9]  B. Stevens,et al.  Observations, experiments, and large eddy simulation , 2001 .

[10]  Manfred Wendisch,et al.  An Airborne Spectral Albedometer with Active Horizontal Stabilization , 2001 .

[11]  E. O'connor,et al.  The CloudSat mission and the A-train: a new dimension of space-based observations of clouds and precipitation , 2002 .

[12]  Gerald M. Stokes,et al.  The Atmospheric Radiation Measurement Program , 2003 .

[13]  D. Lilly,et al.  Dynamics and chemistry of marine stratocumulus - DYCOMS II , 2003 .

[14]  D. Lilly,et al.  Supplement to Dynamics and Chemistry of Marine Stratocumulus—DYCOMS-II , 2003 .

[15]  C. Bretherton,et al.  Evaluation of Large-Eddy Simulations via Observations of Nocturnal Marine Stratocumulus , 2005 .

[16]  Guy P. Brasseur,et al.  HIAPER: The Next Generation NSF/NCAR Research Aircraft , 2006 .

[17]  Oleg A. Krasnov,et al.  Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations , 2007 .

[18]  Yoram J. Kaufman,et al.  On the twilight zone between clouds and aerosols , 2007 .

[19]  Robin J. Hogan,et al.  A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer , 2008 .

[20]  Ákos Horváth,et al.  Global assessment of AMSR-E and MODIS cloud liquid water path retrievals in warm oceanic clouds , 2009 .

[21]  B. Mayer Radiative transfer in the cloudy atmosphere , 2009 .

[22]  Gerhard Ehret,et al.  The airborne multi-wavelength water vapor differential absorption lidar WALES: system design and performance , 2009 .

[23]  A. P. Siebesma,et al.  Controls on precipitation and cloudiness in simulations of trade‐wind cumulus as observed during RICO , 2011 .

[24]  S. Wofsy,et al.  HIAPER Pole-to-Pole Observations (HIPPO): fine-grained, global-scale measurements of climatically important atmospheric gases and aerosols , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[25]  B. Stevens,et al.  Marine Boundary Layer Cloud Feedbacks in a Constant Relative Humidity Atmosphere , 2012 .

[26]  Frank Werner,et al.  New airborne retrieval approach for trade wind cumulus properties under overlying cirrus , 2013 .

[27]  Manfred Wendisch,et al.  The fine-scale structure of the trade wind cumuli over Barbados – An introduction to the CARRIBA project , 2013 .

[28]  H. Yashiro,et al.  Deep moist atmospheric convection in a subkilometer global simulation , 2013 .

[29]  Susanne Crewell,et al.  HAMP – the microwave package on the High Altitude and LOng range research aircraft (HALO) , 2014 .

[30]  Felix Ament,et al.  The NARVAL Campaign Report , 2014 .

[31]  Tobias Kölling,et al.  Design and characterization of specMACS, a multipurpose hyperspectral cloud and sky imager , 2015 .

[32]  Riko Oki,et al.  The EarthCARE Satellite: The Next Step Forward in Global Measurements of Clouds, Aerosols, Precipitation, and Radiation , 2015 .

[33]  G. Zängl,et al.  The ICON (ICOsahedral Non‐hydrostatic) modelling framework of DWD and MPI‐M: Description of the non‐hydrostatic dynamical core , 2015 .

[34]  B. Stevens,et al.  The Signature of Aerosols and Meteorology in Long-Term Cloud Radar Observations of Trade Wind Cumuli , 2015 .

[35]  D. Behringer,et al.  A Long-Term, High-Quality, High-Vertical-Resolution GPS Dropsonde Dataset for Hurricane and Other Studies , 2015 .

[36]  Günther Zängl,et al.  Large eddy simulation using the general circulation model ICON , 2015 .

[37]  Klaus Pfeilsticker,et al.  ACRIDICON–CHUVA Campaign: Studying Tropical Deep Convective Clouds and Precipitation over Amazonia Using the New German Research Aircraft HALO , 2016 .

[38]  B. Stevens,et al.  The Barbados Cloud Observatory: Anchoring Investigations of Clouds and Circulation on the Edge of the ITCZ , 2016 .

[39]  Daniel Klocke,et al.  Rediscovery of the doldrums in storm-resolving simulations over the tropical Atlantic , 2017, Nature Geoscience.

[40]  K. Emanuel,et al.  EUREC4A: A Field Campaign to Elucidate the Couplings Between Clouds, Convection and Circulation , 2017, Surveys in Geophysics.

[41]  Susanne Crewell,et al.  Understanding Causes and Effects of Rapid Warming in the Arctic , 2017 .

[42]  Hartwig Deneke,et al.  Large‐eddy simulations over Germany using ICON: a comprehensive evaluation , 2017 .

[43]  Christopher W. O'Dell,et al.  The Multi-Sensor Advanced Climatology of Liquid Water Path (MAC-LWP). , 2017, Journal of climate.

[44]  Susanne Crewell,et al.  Characterization of Water Vapor and Clouds During the Next-Generation Aircraft Remote Sensing for Validation (NARVAL) South Studies , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[45]  Ralf Bennartz,et al.  An Uncertainty Data Set for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path , 2018, Journal of geophysical research. Atmospheres : JGR.

[46]  Hartwig Deneke,et al.  Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives , 2018, Reviews of geophysics.

[47]  Martin Wirth,et al.  The North Atlantic Waveguide and Downstream Impact Experiment , 2018, Bulletin of the American Meteorological Society.

[48]  S. Bony,et al.  Measuring Area-Averaged Vertical Motions with Dropsondes , 2019, Journal of the Atmospheric Sciences.

[49]  J. Delanoë,et al.  Calibration of a 35-GHz Airborne Cloud Radar: Lessons Learned and Intercomparisons with 94-GHz Cloud Radars , 2018 .

[50]  M. Wendisch,et al.  Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach , 2018, Atmospheric Measurement Techniques.