Street-level weather station network in Freiburg, Germany: Curated dataset from 2022-09-01 to 2023-08-31 [L2] (Q12992)
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Dataset published at Zenodo repository.
Language | Label | Description | Also known as |
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English | Street-level weather station network in Freiburg, Germany: Curated dataset from 2022-09-01 to 2023-08-31 [L2] |
Dataset published at Zenodo repository. |
Statements
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, in review): Using Extreme Gradient Boosting for gap-filling to enable year-round analysis of spatial temperature and humidity patterns in an urban weather station network in Freiburg, Germany. in review. 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 C 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 C. "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 25C) 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 30C) 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 35C) 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 20C) 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 0C) 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 0C) 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 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 Extreme Gradient Boosting for Gap-Filling to Enable Year-Round Analysis of Spatial Temperature and Humidity Patterns in an Urban Weather Station Network in Freiburg, Germany." (1.0.0) Zenodo. https://doi.org/10.5281/zenodo.14536824
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12 July 2024
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1.0.0
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