TY - DATA T1 - PAR003 Optical disdrometer data at Green Village in Delft PY - 2024/10/04 AU - Marc Schleiss AU - Andre Castro AU - Rob Mackenzie AU - Mahaut Sourzac UR - DO - 10.4121/c70b90ab-02a3-418c-a5ea-4125d40d06a5.v1 KW - precipitation KW - rainfall KW - raindrop size distributions KW - DSD KW - disdrometer KW - Parsivel KW - Ruisdael KW - Green Village N2 -
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.
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