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Platform data

Overview

Detailed view

Climate data ECSF climate station (1960 m) validated and corrected.
Validated data of the THIES climate station with quality attributes.

The values of this dataset are currently in revision process and not available online. Please contact the dataset creators.

Please refer to quality flags for data use

Due to technical problems the former weather station ECSF (established 1998) was shut down in 2010. At the same time a new weather station called "Climate Station ECSF established 2010" was installed 3m beside the former ECSF weather station on the same measuring plot.

The data are quality checked by a standardised method.

Climate Parameter Quality Check for site ECSF
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 = 25
Global Radiation max = 1400
Air temperature in 2m max = 30
Air temperature in 2m min = 5
Air humidity max = 99.9
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 25 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".

Please dont use this dataset anymore! Refer to ECSF climate data best estimate ver. 2 (ID 1415). This data set remains for reference only.
old abstract:
Quality assessment ECSF climate station hourly data:
Version 1; Advise: There are known errors in the precipitation record from June to November 2014. A new version with extended time span will be uploaded soon. Please be aware, that aggregated values may be wrong, due to the data gaps. This is especcially critical for precipitation.
By Rütger Rollenbeck, 16.3.2015, rollenbeck@lcrs.de
Variables: 
Ta2m =Air Temperature at 2 m (T)
PCP = Precipitation at 1 m (P)
Huma_2m = relative humidity at 2m (rH)
Irradiation = global radiation at 2 m (gRad)
Emitted radiation, Wind speed, wind direction and soil-temperatures are not yet published

For each variable, a measure of uncertainty is given in the original dimension. This value can be considered as the potential deviation from real conditions. Where no parallel measurements exist, the uncertainty is given as the standard deviation of that difference.

Detailed information about quality control, best estimate calculation and remaining uncertaintes is given in QualityAssessment.pdf. Methodology to be published soon.

Quality controls applied to the hourly time series of the El-Tiro-climate stations. Temeprature and wind direction had to be adjusted for apparent deviations. for details review the file qualityassessment.pdf supplied with the ECSF best estimate data set

Quality assessment ECSF climate station hourly data: Version 2; Dataset supersedes ver. 1 which is left for reference. Please be aware, that aggregated values may be wrong, due to the data gaps. This is especcially critical for precipitation. Variables: Ta2m =Air Temperature at 2 m (T) PCP = Precipitation at 1 m (P) Huma_2m = relative humidity at 2m (rH) Irradiation = global radiation at 2 m (gRad), widspeed. Emitted radiation, wind direction and soil-temperatures are not yet published For each variable, a measure of uncertainty is given in the original dimension. This value can be considered as the potential deviation from real conditions. Where no parallel measurements exist, the uncertainty is given as the standard deviation of that difference. By Rütger Rollenbeck, 25.11.2015, rollenbeck@lcrs.de

Details of data processing are given in the attached Qualityassessment-Document