There is a newer version of the record available.

Published March 5, 2026 | Version v8
Dataset Open

Disdrometer data of the Thies Laser Niederschlags Messer (LNM) since 2019 of about 150 German meteorological SYNOP stations

Description

[Version comment]

This is not the newest version! The newest version can be found here: https://doi.org/10.5281/zenodo.19265418 

This is an updated version from 2026-03-05 of the data set that has been published on 2025-09-19.

  • Station metadata file has been cleaned of a station which does not have an LNM.
  • Corresponding SYNOP data of this station have been removed from the SYNOP data files.
  • LNM data and additional SYNOP data from 2025 have been added.
  • Minor fixes in the Documentation (format description of the LNM data telegrams)

Introduction

As part of its synoptic meteorological weather data measuring network (automated SYNOP network of ground stations), the German Meteorological Service continuously operates about 150 laser-optical disdrometers, the Laser Niederschlags Messer (LNM) from manufacturer Thies.

This device registers the size and vertical fallspeed component of each particle (raindrops, graupel, snowflakes, hail, or anything else) that passes trough a horizontally oriented laser light sheet of length 22.8 cm, with 2.0 cm and height 0.75 mm. 

From all particles registered during 1 minute, a 2-dimensional discrete distribution (numbers in 20x22 fallspeed-diameter-classes) is constructed and several precipitation characterizing integral parameters are derived, such as precipitation rate, estimated type of precipitation according to WMO ww tables, estimated equivalent radar reflectivity factor, particle size distribution, etc.

Relevant for the operational observations of DWD is only the estimated type of precipitation, which is part of the SYNOP reports. However, the 2-D fallspeed-diameter distributions for each minute ("raw data") are also recorded, but not put into DWD's official longterm data bases.

Because these raw data may be highly relevant and interesting for the international scientific community in the fields of cloud physics, numerical weather prediction and radar meteorology, we provide via Zenodo a comparatively large raw data set for the years 2019 to 2025 of >= 150 stations throughout Germany.

The data set is accompagnied by additional parameters which are relevant for quality control and cross checks, namely 10-minute values of temperature, relative humidity, accumulated precipitation from rain gauges, cloud cover, wind speed and wind direction. All relevant station meta data are provided as well.

DWD operates two different software versions of the LNM depending on the SYNOP station, namely version 2 and 3. The two versions differ in the content of the data telegrams.

Documentation

Below we provide the most important informations about the data set. It is accompagnied by some PDF documents in the compressed tar archive Documentation.tgz :

  • Technical manual specifically for the DWD devices of version 3 (in German language only):
    • LNM_manual_Thies_deu_kurz.pdf (short manual)
    • LNM_manual_Thies_deu.pdf      (detailed manual)
  • English translation/description of the data format and the diameter-velocity class limits for both device versions:
    • LNM_telegram_engl_v2+v3.pdf
    • LNM_classes.pdf
  • English manual from the manufacturer website (see below) not specific for DWD and applicable to version 2 devices:
    • 5.4110.xx.x00_laser_precipitation_monitor_eng_short.pdf (short manual)
    • 5.4110.xx.x00_laser_precipitation_monitor_eng.pdf        (detailed manual)
  • README file

Instrument description

Short and detailed descriptions of the specific DWD-version of the LNM are given in German language, see above.

English manuals are not available for the DWD-specific version, but have been downloaded from the manufacturer website for a newer instrument version and are also provided in Documentation.tgz. Links to the manufacturer's website can be found below.

Data files and formats

Disdrometer data 

  • Yearly gzipped tar archives named lnm_thies_DWD_20XX.tgz
  • One data file per day and per station in it's own directory. Directory structure in each archive:
    • ./<yyyy>/<mm>/<dd>/<wmoid>/<data-file> (yyyy=year, mm=month, dd=day, wmoid=5-digit WMO station ID)
  • File name <V>_<wmoid>_<yyyy>-<mm>-<dd>.txt (V=1-digit instrument version, either "2" or "3"), e.g. 3_10474_2023-07-01.txt
  • One line per one-minute measuring interval (nominally 1440 lines per daily file)
  • Semicolon-separated format, many records per line
  • Detailed documentation of each record in LNM_telegram_engl_v2+v3.pdf
  • Definition of the diameter- and fall velocity classes in LNM_classes.pdf
  • The time stamp in each line is the approximate end of the measuring minute in UTC. Due to technical issues with time synchronisation, there is an uncertainty of about 30 seconds. Therefore, we have rounded the time to the nearest full minute.
  • Sometimes 1 to 5 minutes in a daily file are missing due to spurious data stream transmission problems which are not recoverable. Therefore not every file contains the full 1440 lines.
  • Files from days where stations have only partly been operational have been removed, e.g., when a certain station has been shut down or installed during that day, or when there was a power-outage or other disruption of the station operations.

Additional synoptic data

  • Yearly gzipped tar archives named synop10min_DWD_20XX.tgz
  • One data file per day and per station in it's own directory. Directory structure in each archive:
    • ./<yyyy>/<mm>/<dd>/<wmoid>/<data-file> (yyyy=year, mm=month, dd=day, wmoid=5-digit WMO station ID)
  • File name synop10min_<wmoid>_<yyyymmddhhmmss>_1.0days.txt, e.g. synop10min_10747_20200101000000_1.0days.dat
  • 6 header lines preceded by "#"
  • One line for each 10-minute interval
  • Space-separated format in 7 columns
  • Parameters in each column defined in header line No. 6:
         # end-time     T2M[°C]   RH2M[%]   P10min[mm]   CLC[oct]  FF[m/s]  DD[°]
    (end time of 10-min interval, 2-m temperature, 2-m relative humidity, accumulated precipitation from rain gauges, total cloud cover, wind speed and wind direction)

Station metadata

See the more or less self-explanatory text file station_metadata_LNM_20250713_utf8_simplified-names_no-duplicates.txt

  • This file gives for each WMO-ID the name, geographic longitude, latitude, station height AMSL and the time span of its existence (begin time and end time).
  • There are 181 stations altogether given in the file.
  • However, not all the stations have been operational all the time. Some stations have been closed, moved, or newly installed during the 5 years, so that less stations were active at each particular time (~150).
  • There might be more than one line per station in the metadata file. In this case the station has been moved to different location(s) and the time interval of each location is given in the last two columns (FROM_DATE and TO_DATE). 

Basic software

Todo: add python code snippets to read the data files and compute precipitation rate, particle size distributions and equivalent radar reflectivity factor.

Further informations about the instrument

Website of manufacturer:
https://www.thiesclima.com/en/laser-precipitation-monitor/
https://www.thiesclima.com/en/precipitation-measuring-devices/laser+precipitation+monitor~5.4110.00.xxx/
 
In German language:
https://www.thiesclima.com/de/niederschlag-messtechnik-geraete/laser-niederschlags-monitor~5.4110.00.xxx/
 
Detailed technical manuals from the manufacturer website (not specific for the DWD devices):
https://www.thiesclima.com/en/db/dnl/5.4110.xx.x00_laser_precipitation_monitor_eng.pdf
https://www.thiesclima.com/en/db/dnl/5.4110.xx.x00_laser_precipitation_monitor_eng_short.pdf
 
In German language:
https://www.thiesclima.com/de/db/dnl/5.4110.xx.x00_lnm_deu.pdf
https://www.thiesclima.com/de/db/dnl/5.4110.xx.x00_lnm_deu_kurz.pdf
 

Files

station_metadata_LNM_20250713_utf8_simplified-names_no-duplicates.txt

Files (20.7 GB)

Name Size Download all
md5:5f18af6ad952810b4fc5cd2f217bcd19
6.8 MB Download
md5:9cf22ab20adc3db03e8e0d06b9df7234
2.8 GB Download
md5:6bf30d50acf61fec0dd0b18e0cfea6fc
2.7 GB Download
md5:8c764de62c3700fd991ec13f956d1acd
2.8 GB Download
md5:841e8835c3207ed6f6a66a77d81cc159
2.6 GB Download
md5:f3d3659fa38d16086969ab5b13f8ca1d
3.2 GB Download
md5:84385a972ac353fb30816646ab94fdd2
3.1 GB Download
md5:45b88dcfd992ec934b8be895fc217417
2.9 GB Download
md5:9ad53374de1fc082cc99c36435f0db27
19.7 kB Preview Download
md5:da859d4b574d814a22be64c902f8cbe6
84.7 MB Download
md5:26a285a032d2697190c01d403bfa0312
84.6 MB Download
md5:b8f1eb644dcb736e81f69615923178ab
83.6 MB Download
md5:72688460b79735b6093437ab696bbaa5
86.1 MB Download
md5:fac1c01ae29690d76ddb390d3e87b62a
93.1 MB Download
md5:196d15c206f92b70bf899eb50cd97cdd
92.9 MB Download
md5:634d732e51549ad586cafcc212157c62
96.4 MB Download

Additional details

Dates

Collected
2019-01-01/2024-12-31
Time span of the data set