*** PAR003 Optical Disdrometer data at Erasmus MC in Rotterdam ***

1. General information

1.1 Title: PAR003 Optical disdrometer data at Erasmus MC in Rotterdam
1.2 Description: Each file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any modifications
1.3 File naming convention: Sensor_Location_YYYYMM.nc
1.4 Contact person: Marc Schleiss, m.a.schleiss@tudelft.nl

2. Methodological information

2.1 Data acquisition: The data were collected by TU Delft within the context of the Ruisdael Observatory. Data acquisition was done through a RaspberryPi computer running a Python script. This script was the predecessor of the "disdroDL" software.
2.2 logging software: disdroDL (https://github.com/ruisdael-observatory/disdroDL) is an open source Python software for logging data from the OTT Parsivel2 and Thies Clima optical disdrometers.
2.3 Data processing: By default, the logging script outputs daily csv files with the telegrams received by the sensor. A small R script then reads and aggregates these data into monthly NetCDF files for publication. 
2.4 Notes: The monthly data are gap-filled to guaranteee a more or less regular sampling interval of 1-minute. The gap-filling process does not modify the data values and only adds NA values to indicate missing values (e.g., due to sensor maintenance or technical issues). All data are provided "as is", and come without warranty. Please report any issues you notice to the authors.

3. Data specific information

3.1 Metadata: Each NetCDF file contains the short names, full names, units and missing_value attributes of the variables.
3.2 Main contributors: Marc Schleiss, Andre Castro, Rob Mackenzie, Mahaut Sourzac
3.3 Additional contributors: Saverio Guzzo

4. Sharing and Access information

Data license: CC BY 4.0 https://creativecommons.org/licenses/by-sa/4.0/" 



