DOI: 10.5281/zenodo.14178517
title: Case stuides of ground-based remote sensing observations from Cabauw, NL, as obtained during the ACCEPT campaign in 2014.

description: Datasets of Mira-35 NMRA and Mira-35 MBR4 cloud radars, PollyXT multiwavelength polarization lidar, and the corresponding Cloudnet categorization data for the case-study periods of 3 November and 7 November 2014. A detailed description of each dataset is provided below.

1. 20141103_cesar_categorize.nc



Categorization file produced with Cloudnet algorithm, as document on http://cloudnet.fmi.fi.

The data were collected on November 3, 2014. They are based on Mira-35 NMRA radar, microwave radiometer, lidar ceilometer, and optical disdrometer. 


2. 20141107_cesar_categorize.nc



Categorization file produced with Cloudnet algorithm, as document on http://cloudnet.fmi.fi.

The data were collected on November 7, 2014. They are based on Mira-35 NMRA radar, microwave radiometer, lidar ceilometer, and optical disdrometer. 


3. 20141103_2000.pdm



This dataset was collected on November 3, 2014, between 20:00 and 20:15 UTC, and includes four RHI scans performed using the Mira-35 MBR4 radar. It serves as the primary input for the technique used to retrieve the shape and orientation of ice particles.


4. 20141107_0915.pdm



This dataset was collected on November 7, 2014, between 09:15 and 09:30 UTC, and includes four RHI scans performed using the Mira-35 MBR4 radar. It serves as the primary input for the technique used to retrieve the shape and orientation of ice particles.


5. 20141107_0945.pdm



This dataset was collected on November 7, 2014, between 09:45 and 10:00 UTC, and includes four RHI scans performed using the Mira-35 MBR4 radar. It serves as the primary input for the technique used to retrieve the shape and orientation of ice particles.


6. 20141107_0800.mmclx



This dataset was collected on November 7, 2014, between 08:00 and 10:00 UTC, using the Mira-35 MBR4 radar. During this period, the radar performed eight PPI scans, with the data from each scan used to calculate wind speed and direction in 15-minute intervals. In this study, the data from the sixth and eighth scans were utilized to calculate wind speed and direction for the time intervals 09:15–09:30 UTC and 09:45–10:00 UTC, respectively.


7. 20141103_2000.mmclx



This dataset was collected on November 3, 2014, between 20:00 and 22:00 UTC, using the Mira-35 MBR4 radar. During this period, the radar performed eight PPI scans, with the data from each scan used to calculate wind speed and direction in 15-minute intervals. In this study, the data from the first scan were utilized to calculate wind speed and direction for the time intervals 20:00–2015 UTC.


8. 20141103_cesar_pollyxt.nc



This dataset was collected on November 03, 2014, between 08:00 and 10:00 UTC. Amongst others, the file provides time-height cross sections of 1064-nm attenuated backscatter coefficient and 532-nm volume depolarization ratio, which can be used to evaluate an observed cloud and aerosol scene for the occurrence of ice crystals and liquid water.


9. 20141107_cesar_pollyxt.nc



This dataset was collected on November 07, 2014, between 20:00 and 21:00 UTC. Amongst others, the file provides time-height cross sections of 1064-nm attenuated backscatter coefficient and 532-nm volume depolarization ratio, which can be used to evaluate an observed cloud and aerosol scene for the occurrence of ice crystals and liquid water.