Laboratory and in-flight evaluation of measurement uncertainties from a commercial Cloud Droplet Probe (CDP)

Abstract. Laboratory and in-flight evaluations of uncertainties of measurements from a Cloud Droplet Probe (CDP) are presented. A description of a water-droplet-generating device, similar to those used in previous studies, is provided along with validation of droplet sizing and positioning. Seven experiments with droplet diameters of 9, 17, 24, 29, 34, 38, and 46 µm tested sizing and counting performance across a 10 µm resolution grid throughout the sample area of a CDP. Results indicate errors in sizing that depend on both droplet diameter and position within the sample area through which a droplet transited. The CDP undersized 9µm droplets by 1–4 µm. Droplets with diameters of 17 and 24 µm were sized to within 2 µm, which is the nominal CDP bin width for droplets of that size. The majority of droplets larger than 17 µm were oversized by 2–4 µm, while a small percentage were severely undersized, by as much as 30 µm. This combination led to an artificial broadening and skewing of the spectra such that mean diameters from a near-monodisperse distribution compared well (within a few percent), while the median diameters were oversized by 5–15 %. This has implications on how users should calibrate their probes. Errors in higher-order moments were generally less than 10 %. Comparisons of liquid water content (LWC) calculated from the CDP and that measured from a Nevzorov hot-wire probe were conducted for 17 917 1 Hz in-cloud points. Although some differences were noted based on volume-weighted mean diameter and total droplet concentration, the CDP-estimated LWC exceeded that measured by the Nevzorov by approximately 20 %, more than twice the expected difference based on results of the laboratory tests and considerations of Nevzorov collection efficiency.

[1]  Jean-Louis Brenguier,et al.  Improvements of Droplet Size Distribution Measurements with the Fast-FSSP (Forward Scattering Spectrometer Probe) , 1998 .

[2]  M. Freer,et al.  Importance of small ice crystals to cirrus properties: Observations from the Tropical Warm Pool International Cloud Experiment (TWP‐ICE) , 2007 .

[3]  M. Wendisch,et al.  Minimizing Instrumental Broadening of the Drop Size Distribution with the M-Fast-FSSP , 2004 .

[4]  James E. Dye,et al.  Evaluation of the forward scattering spectrometer probe. Part II: Corrections for coincidence and dead-time losses , 1985 .

[5]  Joshua A. Gordon,et al.  Water droplet calibration of the Cloud Droplet Probe (CDP) and in-flight performance in liquid, ice and mixed-phase clouds during ARCPAC , 2010 .

[6]  George A. Isaac,et al.  Shattering during Sampling by OAPs and HVPS. Part I: Snow Particles , 2005 .

[7]  James E. Dye,et al.  Evaluation of the Forward Scattering Spectrometer Probe. Part I: Electronic and Optical Studies , 1984 .

[8]  John Hallett,et al.  Degradation of In-Cloud Forward Scattering Spectrometer Probe Measurements in the Presence of Ice Particles , 1985 .

[9]  S. Lance,et al.  Coincidence Errors in a Cloud Droplet Probe (CDP) and a Cloud and Aerosol Spectrometer (CAS), and the Improved Performance of a Modified CDP , 2012 .

[10]  Advancements in Techniques for Calibration and Characterization of In Situ Optical Particle Measuring Probes, and Applications to the FSSP-100 Probe , 2007 .

[11]  D. Baumgardner,et al.  Evaluation of the Forward Scattering Spectrometer Probe. Part III: Time Response and Laser Inhomogeneity Limitations , 1990 .

[12]  A. V. Korolev,et al.  Evaluation of Measurements of Particle Size and Sample Area from Optical Array Probes , 1991 .

[13]  A. Minikin,et al.  Particle sizing calibration with refractive index correction for light scattering optical particle counters and impacts upon PCASP and CDP data collected during the Fennec campaign , 2012 .

[14]  Richard Cotton,et al.  Processing of Ice Cloud In Situ Data Collected by Bulk Water, Scattering, and Imaging Probes: Fundamentals, Uncertainties, and Efforts toward Consistency , 2017 .

[15]  A. Heymsfield On measurements of small ice particles in clouds , 2007 .

[16]  Andrew L. Pazmany,et al.  Single Aircraft Integration of Remote Sensing and In Situ Sampling for the Study of Cloud Microphysics and Dynamics , 2012 .

[17]  A. Herber,et al.  Response of the Nevzorov hot wire probe in clouds dominated by droplet conditions in the drizzle size range , 2009 .

[18]  W. Cooper,et al.  Effects of Coincidence on Measurements with a Forward Scattering Spectrometer Probe , 1988 .

[19]  R. Cotton,et al.  A comparison of ice water content measurement techniques on the FAAM BAe-146 aircraft , 2014 .

[20]  E. Emery,et al.  Wind Tunnel Measurements of the Response of Hot-Wire Liquid Water Content Instruments to Large Droplets , 2003 .

[21]  R. G. Pinnick,et al.  Calibration of Knollenberg FSSP Light-Scattering Counters for Measurement of Cloud Droplets , 1981 .

[22]  R. Handsworth,et al.  A Hot-Wire Liquid Water Device Having Fully Calculable Response Characteristics. , 1978 .

[23]  J. Brenguier,et al.  A Review and Discussion of Processing Algorithms for FSSP Concentration Measurements , 1994 .

[24]  A. Korolev,et al.  Improved Airborne Hot-Wire Measurements of Ice Water Content in Clouds , 2013 .

[25]  A. Korolev,et al.  The Nevzorov Airborne Hot-Wire LWC-TWC Probe: Principle of Operation and Performance Characteristics , 1998 .

[26]  Robert Wood,et al.  Ice Particle Interarrival Times Measured with a Fast FSSP , 2003 .

[27]  G. McFarquhar,et al.  Cloud Ice Properties: In Situ Measurement Challenges , 2017 .

[28]  Manfred Wendisch,et al.  Airborne measurements for environmental research : methods and instruments , 2013 .

[29]  R. Rauber,et al.  Precipitation formation from orographic cloud seeding , 2018, Proceedings of the National Academy of Sciences.

[30]  M. Wendisch,et al.  FSSP Characterization with Monodisperse Water Droplets , 1996 .