[Dataset Title] CPI particle images collected from NRC Convair580 flights during the ICICLE project out of Rockford Illinois [Dataset Author(s)] Data quality and processing. Lead: Alexei Korolev, Environment and Climate Change Canada alexei.korolev@canada.ca Ivan Heckman, Environment and Climate Change Canada ivan.heckman@canada.ca [Custodianship] ECCC CPI: Environment and Climate Change Canada (Flights 3-19) NASA CPI: National Aeronautics and Space Administration (Flights 25-29) [Acknowledgements] ECCC CPI data collection was performed by Mike Harwood (ECCC) and Jason Iwachow (ECCC) [Calibrations] n/a [Funding] The ICICLE project was funded by the Federal Aviation Administration (FAA). Principal Investigator Stephanie DiVito. [Time of Interest] 2019-01-28 20:08:36 - 2019-03-07 21:06:54 UTC [Area of Interest] 39.3290 to 43.3550 N -91.9840 to -84.5950 E [Data Frequency] continuous [Data Spatial Type] none, particle images over time [General Dataset Description] SPEC Cloud Particle Imager (CPI) The name of a png file contains the date and the time of the last image printed in this file. Each CPI image on the page in the top left corner has a time step recorded by the CPI DAS. The CPI DAS time may not be synchronized with the reference NRC Convair580 time. During the ICICLE project, the CPI time bias usually does not exceed 2-3 seconds. The maximum image size is indicated in the bottom left corner of each CPI particle image. The size scale (200um) is shown in the top right corner of each page. Out-of-focused blurred images smaller 500um were excluded and they are not shown in the *png files. The CPI measurements are known to be contaminated by shattering artifacts. Usually shattered fragments appear in the CPI imagery as several isolated images in the same image frame (2.3mm X 2.3mm). Therefore, the particle images from the image frames with more than 2 images were filtered out from imaging in the *png files. Disclaimer: Filtering shattering artifacts does not guarantee 100% exclusion of all shattered fragments. Shattered fragments may appear among the images of intact ice particles. The number of CPI shattering artifacts is a strong function of particle size, and in some cases, the number of CPI images with shattering artifacts may reach tens of percent. Typically such a situation may occur in cases when the ensemble of ice particles is dominated by particles exceeding several mm in size. Processing Software: SPEC CPIview with ECCC modifications on image recognition and filtering of artifacts. [File Names] ICICLE_Convair_v0191217.zip Includes: FXX_YYYY-MM-DD_HHZ/_CPI__YYMMDD_hhmmss_SSS_.png [Data restrictions] Restricted Password requested Preliminary data restricted to ICICLE participants [Digital Object Identifier (DOI)] no DOI [GCMD Keywords] EARTH SCIENCE ATMOSPHERE CLOUDS CLOUD MICROPHYSICS CLOUD LIQUID WATER/ICE 05ac9d3e-bc44-41fa-ace0-c41bf3ebee97