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/c009ab95-1086-48a7-bf55-ed6c9f58afac

Schleiss, Marc; Castro, Andre; Mackenzie, Rob; Sourzac, Mahaut; de Roode, Stephan (2024): PAR003 Optical disdrometer data near Warmenhuizen. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c009ab95-1086-48a7-bf55-ed6c9f58afac.v1

Dataset

• Atmospheric Sciences
• Atmosphere and Weather
• Earth Sciences
• Environment

disdrometer, DSD, Parsivel, precipitation, raindrop size distributions, rainfall, REFORM, Ruisdael

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From 2024-03 to 2024-06

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Marc Schleiss , Andre Castro , Rob Mackenzie , Mahaut Sourzac , Stephan de Roode

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.

• 2024-11-06 first online, published, posted

4TU.ResearchData

NetCDF

• Ruisdael Observatory (grant code 184.034.015) [more info...] Dutch Research Council (NWO)
• Renewable Energy Forecasts from Observations and high-Resolution Modeling project (REFORM) (grant code 18657) Dutch Research Council NWO

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