Test Reference Years (TRY) for 15 typical regions in germany with special regards on realisitc radiation data on a 1min timescale

Summary:

The data set contains the updated test reference years (TRY) of the German Weather Service (DWD). By subdividing into 15 TRY regions, each postcode area can be assigned a representative weather data set. It should be emphasized that in addition to a mean, current test reference year for a region, there is also a year with extreme summer and extreme winter weather. To take climate change into account, there is then a time series for the year 2045 for each test reference year based on the IPCC climate models. This means that a total of 90 weather data sets are available with a one-hour time resolution.

In order to use the data in simulations with a temporal resolution of 1min or 15min, the data set was extended by linear interpolation. While this approach is justifiable for air pressure and temperature, for example, it does not depict high fluctuations in solar radiation. Therefore, based on the one-minute open data measurement data set of the Baseline Surface Radiation Network, with an algorithm by Hofmann et. al. the time series of global radiation are newly generated for all test reference years. Another algorithm by Hofmann et. al. was used to calculate the corresponding diffuse radiation times series.

Sources:

Raw data from DWD: https://kunden.dwd.de/obt/ -> 1_raw-data
Synthetic 1min radiation data: http://pvmodelling.org/ -> 2_synthetic-radiation

How to use or recreate the final dataset:

clone/download this repository
unzip the files from the data.zip file, see https://github.com/RE-Lab-Projects/TRY_DE_2015_2045/releases/download/v1.4.0/data.zip
Use or recreate the final dataset

a) use: Final datasets are then located in -> 3_processed-data

b) recreate: run the process-data.py

Licenses

for the code

for the dataset

Test reference stations / regions

No.	lon	lat	station	region
1	53.5591	8.5872	Bremerhaven	Nordseeküste
2	54.0878	12.1088	Rostock	Ostseeküste
3	53.5299	10.0078	Hamburg	Nordwestdeutsches Tiefland
4	52.3938	13.0651	Potsdam	Nordostdeutsches Tiefland
5	51.4562	7.0568	Essen	Niederrheinisch-westfälische Bucht und Emsland
6	550.6461	7.9426	Bad Marienburg	Nördliche und westliche Mittelgebirge, Randgebiete
7	51.3334	9.4725	Kassel	Nördliche und westliche Mittelgebirge, zentrale Bereiche
8	51.7239	10.6069	Braunlage	Oberharz und Schwarzwald (mittlere Lagen)
9	50.8233	12.9181	Chemnitz	Thüringer Becken und Sächsisches Hügelland
10	50.3226	11.9124	Hof	Südöstliche Mittelgebirge bis 1000 m
11	50.4312	12.9522	Fichtelberg	Erzgebirge, Böhmer- und Schwarzwald oberhalb 1000 m
12	49.4902	8.4637	Mannheim	Oberrheingraben und unteres Neckartal
13	48.2432	12.5286	Mühldorf	Schwäbisch-fränkisches Stufenland und Alpenvorland
14	48.6536	9.8666	Stötten	Schwäbische Alb und Baar
15	47.4945	11.1046	Garmisch Partenkirchen	Alpenrand und -täler

Content

files: 90 test reference years (TRY)

15 test reference regions
x 3 reference conditions (average year, extreme summer, extreme winter)
x 2 reference projections (year 2015 and year 2045)

columns per file:

datetime [yyyy-MM-dd hh:mm:ss+01:00/02:00]
temperature [degC]
pressure [hPa]
wind direction [deg]
wind speed [m/s]
cloud coverage [1/8]
humidity [%]
direct irradiance [W/m^2]
diffuse irradiance [W/m^2]
synthetic global irradiance [W/m^2]
synthetic diffuse irradiance [W/m^2]
clear sky irradiance [W/m^2]

length: 1 year
time increment: 60s / 900s / 3600s

Important hints:

all files in 3_processed-data were calculated with the skript process-data.py
A value with, for example, a timestamp 12:00:00 represents the mean value from this timestamp until the following timestamp.
datetime column is in CET / CEST

RE-Lab-Projects/TRY_DE_2015_2045

Test Reference Years (TRY) for 15 typical regions in germany with special regards on realisitc radiation data on a 1min timescale