%0 Generic %A Schleiss, Marc %A Castro, Andre %A Mackenzie, Rob %A Sourzac, Mahaut %A de Roode, Stephan %D 2024 %T PAR003 Optical disdrometer data near Warmenhuizen %U %R 10.4121/c009ab95-1086-48a7-bf55-ed6c9f58afac.v1 %K precipitation %K rainfall %K raindrop size distributions %K DSD %K disdrometer %K Parsivel %K Ruisdael %K REFORM %X

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" on the premises of a solar and wind energy farm in Warmenhuizen, The Netherlands. This dataset was collected by the Ruisdael Observatory, between the months of March 2024 and June 2024, in support of the Renewable Energy Forecasts from Observations and high-Resolution Modeling project (REFORM), lead by S.R. de Roode, Delft University of Technology (NWO Open Technology Programme, grant 18657)


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.


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.

%I 4TU.ResearchData