Replication Data for: The relationship between clouds containing multiple layers 7.5 - 30 m thick and surface weather conditions

This dataset contains measurements made using the CANDAC Rayleigh-Mie-Raman Lidar in Eureka, Nunavut, Canada, during 2016-2019. The Matlab (.mat) data files contain range-scaled 532 nm signal as a function of time and altitude from 0 - 5 km above the lidar. The image (.png) files are the associated...

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Bibliographic Details
Main Author: McCullough, Emily
Format: Dataset
Language:unknown
Published: Scholars Portal Dataverse 2021
Subjects:
Online Access:https://dx.doi.org/10.5683/sp2/st9ysb
https://dataverse.scholarsportal.info/citation?persistentId=doi:10.5683/SP2/ST9YSB
Description
Summary:This dataset contains measurements made using the CANDAC Rayleigh-Mie-Raman Lidar in Eureka, Nunavut, Canada, during 2016-2019. The Matlab (.mat) data files contain range-scaled 532 nm signal as a function of time and altitude from 0 - 5 km above the lidar. The image (.png) files are the associated plots. Data resolution is 1 minute x 7.5 metres. The spreadsheets (.csv) give the classification for each day according to whether clouds with thin laminations were present, and the ECCC weather conditions reported at ground level for each day. Additional details in README files and in data file headers.