DOI: 10.5281/zenodo.12732564
title: Street-level weather station network in Freiburg, Germany: Curated dataset from 2022-09-01 to 2023-08-31 [L2]

description: Quality controlled and gap-filled air temperature and atmospheric humidity dataset from the street-level weather sensor network (WSN) in Freiburg i. Br., Germany for the period 2022-09-01 to 2023-08-31 as described in:

Plein M, Feigel G, Zeeman M, Dormann C, Christen A (2025): Using Gradient Boosting for gap-filling to analyze temperature and humidity patterns in an urban weather station network in Freiburg, Germany. Urban Climate. https://doi.org/10.1016/j.uclim.2025.102496.

Hourly gap-filled values

The file "Freiburg_AWS_20220901_20230831_gap_filled_data_ta_rh_Plein_et_al.csv" contains gap-filled hourly air temperature and relative humidity time series from 41 stations of the street-level weather sensor network (WSN) in Freiburg i. Br., Germany from 1 Sep 2022 to 31 Aug 2023 with the following field descriptors:



"datetime_UTC" the time stamp of the measured value in the format YYYY-MM-DDTHH:II:SSZ where Y = year, M = month, D = day of month, H = hour, I = minute, S = second in UTC attributing the start of the averaging interval.

"station_id" - 6 letter code of WSN (FR for Freiburg and last 4 letters for station name, see also https://doi.org/10.5281/zenodo.12732552). The station FRTECH is not included.

"variable" - the variable ("Ta_degC" for air temperature in ºC or "RH_percent" for relative humidity in %).

"value" - the numeric value of the measurement.

"data_type" - either "observed" (i.e. measured) or "imputed" (i.e. gap-filled using the Extreme Gradient Boosting method).


Annual statistics per station

The files "Freiburg_AWS_20220901_20230831_annual_statistics_per_station_Plein_et_al" (in csv and xlsx Format) contain annual summary statistics based on  the gap-filled hourly air temperature and relative humidity time series of the street-level weather sensor network (WSN) in Freiburg i. Br., Germany from 1 Sep 2022 to 31 Aug 2023 and from two official DWD stations in Freiburg with the following field descriptors:



"station_id" - 6 letter code of weather station (FR for Freiburg and last 4 letters for station name, see also https://doi.org/10.5281/zenodo.12732552). The two official DWD stations are also included (No. 01443 on the airfield and No. 13667 in the city centre). 

"station_name" - Full human-readable name of weather station.

"latitude_degN" - Latitude of site in decimal degrees North.

"longitude_degE" - Longitude of site in decimal degrees East.

"elevation_masl" - Elevation of site in metres above mean sea level.

"mean_ta_degC" - Annual average air temperature in the period 2022-09-01 to 2023-08-31 in ºC.

"mean_rh_percent" - Annual average relative humidity in the period 2022-09-01 to 2023-08-31 in %.

"mean_vp_kPa" - Annual average vapour pressure in the period 2022-09-01 to 2023-08-31 in kPa based on Tetens equation.

"mean_vpd_Pa"- Annual average vapour pressure deficit in the period 2022-09-01 to 2023-08-31 in Pa based on Tetens equation.

"sum_summer_day_per_year" - Annual number of summer days (maximum air temperature greater or equal to 25ºC) in the period 2022-09-01 to 2023-08-31 in days per year.

"sum_hot_day_per_year" - Annual number of hot days (maximum air temperature greater or equal to 30ºC) in the period 2022-09-01 to 2023-08-31 in days per year.

"sum_desert_day_per_year" - Annual number of desert days (maximum air temperature greater or equal to 35ºC) in the period 2022-09-01 to 2023-08-31 in days per year.

"sum_tropical_night_per_year" - Annual number of tropical nights (minimum nocturnal air temperature greater or equal to 20ºC) in the period 2022-09-01 to 2023-08-31 in days per year.

"sum_frost_day_per_year" - Annual number of frost days (minimum air temperature lower than 0ºC) in the period 2022-09-01 to 2023-08-31 in days per year.

"sum_ice_day_per_year" - Annual number of ice days (maximum air temperature lower than 0ºC) in the period 2022-09-01 to 2023-08-31 in days per year.

"sum_hottest_station_ranking_per_year" - Annual number of days this station was the station with the highest recorded air temperature in the period 2022-09-01 to 2023-08-31.

"sum_coldest_station_ranking_per_year" - Annual number of days this station was the station with the lowest recorded air temperature in the period 2022-09-01 to 2023-08-31.


Station descriptions

Details on the stations can be found in the sensor network documentation:



Plein M, Kersten F, Zeeman M, Christen A (2024): Street-level weather station network in Freiburg, Germany: Station documentation (1.0) Zenodo. https://doi.org/10.5281/zenodo.12732552


Code availability

The code used for the imputation of missing values is documented and available here:



Plein M, Feigel G, Zeeman M, Dormann C, Christen A (2024):  Code Supporting the Publication "Using Gradient Boosting for gap-filling to analyze temperature and humidity patterns in an urban weather station network in Freiburg, Germany." (1.0.0) Zenodo. https://doi.org/10.5281/zenodo.14536824
description: COPYRIGHT NOTICE

Creative Commons Attribution 4.0 International. The data from the Freiburg WSN is licensed under Creative Commons BY 4.0 attributed to this source (10.5281/zenodo.12732565). Data products from the two official weather stations in Freiburg are based on Creative Commons BY 4.0 data attributed to the CDC of Deutscher Wetterdienst (DWD), averaged over individual values.

CREATOR NOTICE

The original WSN observed data leading to the statistics is owned by the Principal Investigators (PIs) of the Urbisphere project.

The original individual values leading to the statistics from the two DWD stations are owned by Deutscher Wetterdienst.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and by the German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection as part of the project "I4C Intelligence for cities" (grant agreement No 67KI2029A/B). We acknowledge data from Deutscher Wetterdienst. 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.