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Platform data

Overview

Detailed view

Climate Station installed on 29.05.2010

Attention! Cooordinates and altitude determined by DGM, field validation is missing!

The data are quality checked by a standardised method.

Climate Parameter Quality Check for site Antenas Top
Checking modules:

1. Does a value exist?
Quality flag is set to 
"d = missing"

2. Checking of site specific threshold value.
If the value is not inbetween the thresholds the quality flag is set to "c = out of range":
Windspeed max = 30
Global Radiation max = 1400
Soil temperature in 10cm depth max = 16
Soil temperature in 10cm depth min = 5
Soil temperature in 60cm depth max = 12
Soil temperature in 60cm depth min = 4
Air temperature in 2m max = 22
Air temperature in 2m min = 1
Air humidity max = 100
Air humidity min = 10

3. Checking the plausibility of air temperature and air humidity within the measurement intervals by comparing the previous and current values.
If the temperature amplitude is higher then 10°C and humidity amplitude is higher than 30% the plausibility of this variation is checked by comparing to the variation of the other parameter.  
The quality flag is set to "e = variation implausible".

4. Precipitation check
If precipitation is more than 35 mm then quality flag is set to "c = out of range"
If precipitation is more than 15 mm and air temperature increases more than 0.2 °C inbetween a temporal interval then quality flag is set to "e = variation impossible".

5. Relative air humidity values are corrected by a standarized method and quality flag is set to "m = manually corrected".

6. Wind direction is not quality checked and flag is set to "nqc = not quality checked"

All other values are set to "a = valid".

The campbell meteorological station was used to monitor weather variables at the observation plot of the project B1 "The Threat of the Southern Bracken". Meteorological data was used as input in the Southern Bracken Competition Model.

meteorological measurements at the bracken fern burn plot. Updated and controlled dataset with hourly aggregation.