PAR002 Optical disdrometer data at Cabauw

DOI:10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da.v3
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da
Datacite citation style:
Schleiss, Marc; Castro, Andre; Mackenzie, Rob; Sourzac, Mahaut (2025): PAR002 Optical disdrometer data at Cabauw. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version:
version 3 - 2025-02-06 (latest)
version 2 - 2024-11-06 version 1 - 2024-10-04
Delft University of Technology logo

Geolocation

Remote Sensing Site, Cabauw
lat (N): 51.96831003
lon (E): 4.92924317
view on openstreetmap

Time coverage

Ongoing since 2021

Licence

CC BY 4.0

Description: In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR002" at the remote sensing site in Cabauw. Note that "PAR002" is co-located with another identical disdrometer called "PAR001". This co-location can be used to cross-check data, perform quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.


Format: Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.


Relevance: Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.


Notes: This dataset is updated approximately every 3 months. Please reach out to the authors for access to the most recent data.


Known issues:

  • In 2021, connectivity issues resulted in the loss of data from June 2-21, July 14 to August 11, and September 21 to October 5.
  • In 2022, the data from August 6-13 are missing.
  • In 2023, the data from June 16-20 are missing.
  • Between November 8 and December 22, 2023, no data are available due to a major upgrade in the data logging system.
  • In 2024, the data from February 5-11 are missing.

History

  • 2024-10-04 first online
  • 2025-02-06 published, posted

Publisher

4TU.ResearchData

Format

NetCDF

Funding

  • Ruisdael Observatory (grant code 184.034.015) [more info...] Dutch Research Council (NWO)

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing

DATA

Files (50)