PAR003 Optical disdrometer data at Green Village in Delft

doi:10.4121/c70b90ab-02a3-418c-a5ea-4125d40d06a5.v1
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/c70b90ab-02a3-418c-a5ea-4125d40d06a5
Datacite citation style:
Schleiss, Marc; Castro, Andre; Mackenzie, Rob; Sourzac, Mahaut (2024): PAR003 Optical disdrometer data at Green Village in Delft. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c70b90ab-02a3-418c-a5ea-4125d40d06a5.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
geolocation
Green Village, Van Den Broekweg 4, 2628 CR Delft
lat (N): 51.9960711
lon (E): 4.37870077
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 "PAR003" at the Green Village site in Delft. Note that the Green Village site is different from the other Ruisdael sites. Its primary purpose is to allow researchers to test sensors, perform calibration and develop new hardware/software solutions. The Green Village also serves as a temporary home basis for all the mobile sensors used during field campaigns. Due to the special nature of this site, data quality, reliability and availability may be lower than at other locations. There are also some nearby obstacles such as trees and fences which may affect the accuracy of the precipitation measurements depending on local wind patterns.


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, 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 (31)