PAR002 Optical disdrometer data at Cabauw

doi:10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da.v2
The doi 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 (2024): PAR002 Optical disdrometer data at Cabauw. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2024-11-06 (latest)
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
2021-2024
licence
cc-by.png logo 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.

history
  • 2024-10-04 first online
  • 2024-11-06 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 (47)