Open Research Data Portal
DOI for Scientific and Technical Data
10.4228/ZALF.DK.167
Title
Weather Data 2020, Muencheberg, Germany
Citation
Sowa, Dieter (2020): Weather Data 2020, Muencheberg, Germany, Leibniz Centre for Agricultural Landscape Research (ZALF), Muencheberg (Germany) https://www.doi.org/10.4228/ZALF.DK.167
Publisher
Leibniz Centre for Agricultural Landscape Research (ZALF), Muencheberg (Germany)
Dates
Collected:2020
Available:2021
Contributor(s)
HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Muencheberg (Germany)
DataCollector: Research Platform "Models & Simulation", Leibniz Centre for Agricultural Landscape Research (ZALF)
Creator(s)
Sowa, Dieter
Subject(s)
AGROVOC:
weather
weather data
air temperature
relative humidity
evaporation
radiation
precipitation
soil temperature

GEMET:
weather
weather monitoring
atmospheric precipitation
soil
evaporation
air temperature
atmospheric humidity
wind
radiation
Description
The automatic weather station Müncheberg was installed in 1991 by the Leibniz Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the Research Platform "Models & Simulation". The station is located within the municipality Müncheberg, district Märkisch-Oderland, state Brandenburg, Germany. Altitude in meter: 62 NN, Geographic latitude: 52,517681 N, Geographic longitude: 14,123200 E,Type: FMA 86. In 2001, the station was replaced by a new system of the same type (Lambrecht SYMNET/IND).
In 2020, data have been collected for: soil temperature in 20cm depth (°C); soil temperature in 5cm depth (°C); soil temperature in 50cm depth (°C); soil temperature in 10cm depth (°C); soil temperature in 100cm depth (°C); global radiation (J/cm²); relative humidity (%); air temperature, 2m above ground (°C); precipitation (mm); wind velocity (m/s); evaporation (mm)
Language
English
Related Datasets
Continues: 10.4228/ZALF.DK.166
Location
Müncheberg
Data Format
csv
Type of Resource
Dataset: Table
Rights
Creative Commons Attribution 4.0 International
Structure of Data Table(s)

​Table: WS_MUENCHEBERG_2020
Column name
 Unit Description Instrument Method
station
 -
station (study site)
    
parameter
 °C
air temperature
 
 resistance thermometer Thermistor PT100
parameter mm evaporation   calculation
parameter J/cm² global radiation CM6B  
parameter mm precipitation after Joss-Tognini precipitation measurement
parameter % relative humidity Pernix-hygrometer humidity measurement
parameter °C soil temperature resistence thermometer Thermistor PT 100 precipitation measurement
parameter m/s wind speed magnetic cup anemometer wind measurement
dat
 -
date
    
mean
 -
mean daily values of
air temperature,  relative humidity,  soil temperature,  wind velocity
    
min
 -
minimum daily values
of air temperature,  relative humidity,  soil temperature
   
max
 -
maximum daily values of
 air temperature,  relative humidity, soil temperature
    
sum
 -
summation daily values of
 evaporation, global radiation,  precipitation
    
HH01…HH24
 -
hourly value from 1 to 24 hours (HH01 = 1 am, HH24 = 12 pm) of air temperature,  global radiation, precipitation,  relative humidity,  soil temperature,  wind velocity  
   
HHmm_0010…HHmm_2400
 -
10-minute value from 0:10 to 24:00 hours (HHmm_0010 = 0:10 am) of
 air temperature, global radiation,  precipitation,  relative humidity,  soil temperature,  wind velocity  
   
additional_info
 -
additional information
    

Additional Information for Dataset
​
Measurement instruments: Lambrecht SYNMET/IND
​Manufacturer: Weihenstephan and Wilhelm Lambrecht GmbH Göttingen
Measurement target
Unit
Instrument
Accuracy
Range
Air temperature (depth 2m)
°C
Resistance Thermometer 220V
± 0.1 °C
-30…70
Relative humidity (depth 2m)
% r.F.
Pernix-Hygrometer 809 L0-100
± 2,5 % r.F.
5…100
Wind velocity (depth 2,5m)
ms-1
Anemometer
± 0.5 ms-1
0,4…55
Global radiation (depth 2m)
W m-2
Pyranometer (305...2800nm)
± 10 Wm-2
0…1400
Precipitation, heated (depth 1m)
mm
Rain Gauge (seesaw technique)
± 2%
0...10mm/min
Soil temperature
°C
Thermistor PT100
± 0.1 °C
-50…50
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This data by ZALF is licensed under the Creative Commons Attribution 4.0 InternationalCreative Commons License