NRC Convair 580 AECL Lidar Data

AECL (Airborne Elastic Cloud Lidar) data from two AECL instruments onboard the NRC Convair 580 during the ICICLE (In-Cloud ICing and Large-drop Experiment) field campaign based out of Rockford, Illinois (USA) from 18 January - 8 March 2019. The AECL is a compact single wavelength airborne elastic lidar operating at 355nm used for the retrieval of vertical profiles of atmospheric properties, such as scattering and extinction properties of clouds and aerosols.

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Temporal Range

  • Begin:  2019-01-18T00:00:00Z
    End:  2019-03-08T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2019-01-18T00:00:00Z
Temporal Range End 2019-03-08T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 45.58440
Bounding Box South Lat 36.91700
Bounding Box West Long -93.92140
Bounding Box East Long -75.27880
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Documentation #1 : AECL_netcdf_structure.txt

Documentation #2 : ICICLE_lidar_data_delivery_readme_L0_v1.pdf
Additional Information N/A
Resource Format PNG: Portable Network Graphics (PNG) (image/png)
NetCDF: Network Common Data Form (application/x-netcdf)
Standardized Resource Format Image
NetCDF
Asset Size 63839 MB
Legal Constraints

none
Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email datahelp@eol.ucar.edu
Resource Support Organization N/A
Distributor N/A
Metadata Contact Name EOL Data Support
Metadata Contact Email datahelp@eol.ucar.edu
Metadata Contact Organization N/A

Author Mengistu Wolde
Konstantin Baibakov
Publisher N/A
Publication Date 2020-10-29T15:23:13
Digital Object Identifier (DOI) https://doi.org/10.26023/X3JA-PZSK-ME0F
Alternate Identifier 570.044
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-08-01T18:05:16Z
Metadata Record Identifier edu.ucar.eol::570.044
Metadata Language eng; USA
Suggested Citation Mengistu Wolde, Konstantin Baibakov. (2020). NRC Convair 580 AECL Lidar Data. 1.0. https://doi.org/10.26023/X3JA-PZSK-ME0F. Accessed 05 August 2025.

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