IBL Data Server for 2024 Bratislava Climathon

Welcome to IBL data server for 2024 Bratislava Climathon. Below you can find a summary of the available data with a few example data queries to provide you a kick-start. If you have any questions about the data or the API, feel free to drop an email at climathon@iblsoft.com

Local Observational Data

Netatmo

• Website: https://weathermap.netatmo.com
• Collection of publicly available Netatmo data in Bratislava
• 5-minute measurement interval
• Data access (OGC API EDR): https://climathon.iblsoft.com/data/netatmo/edr
  • API description: https://climathon.iblsoft.com/data/netatmo/edr/api?f=HTML

Query Examples

1. Formal description of the Netatmo data available in the server: https://climathon.iblsoft.com/data/netatmo/edr/collections
2. All measurements within 2 km from IBL office location for April 6th 2024 7:30 UTC: https://climathon.iblsoft.com/data/netatmo/edr/collections/publicdata/radius?coords=POINT(17.1785%2048.1628)&within=2&within-units=km&datetime=2024-04-06T07:30:00Z

Radar Precipitation

- Data access (OGC API EDR): https://climathon.iblsoft.com/data/radar/edr

Query Examples:

1. Formal description of data: https://climathon.iblsoft.com/data/radar/edr/collections/central-europe-composite-rainfall
2. Latest precipitation forecast (all time frames) within 10km from IBL office location: https://climathon.iblsoft.com/data/radar/edr/collections /central-europe-composite-rainfall/radius?coords=POINT(17.1785 48.1628)&crs=CRS:84&within=10&within-units=km

Note: Don’t forget to include ‘crs=CRS:84’ parameter. Native projection of the data is Mercator, thus need to reproject in order to be able to write the query coordinates in degrees of longitude/latitude.

Numerical Weather Prediction (NWP) Data

ICON-DE

• Weather forecast model
• Website: https://www.dwd.de/EN/research/weatherforecasting/num_modelling/01_num_weather_prediction_modells/icon_description.html
• Covers portion of Europe centered at Germany, including part of western Slovakia (roughly up to Nitra):
  
• Spatial resolution ~2.2 km
• Data access (OGC API EDR): https://climathon.iblsoft.com/data/icon-de/edr
  • API description: https://climathon.iblsoft.com/data/icon-de/edr/api?f=HTML

Query Examples

1. Formal description of the ICON-DE data available in the server:
   https://climathon.iblsoft.com/data/icon-de/edr/collections
2. Relative humidity within 10km around IBL office location; 2 metres above ground; April 6th 2024 00:00 UTC:
   https://climathon.iblsoft.com/data/icon-de/edr/collections/height-above-ground/radius?coords=POINT(17.1785 48.1628)&within=10&within-units=km&parameter-name=relative-humidity&z=2&datetime=2024-04-06T00:00:00&f=CoverageJSON

ICON-DE instances

• List instances (includes all - also older model runs):
  https://climathon.iblsoft.com/data/icon-de/edr/collections/height-above-ground/instances
• Instance query example for accessing older runs:
  https://climathon.iblsoft.com/data/icon-de/edr/collections/height-above-ground/instances/20240406T000000Z/radius?coords=POINT(17.1785%2048.1628)&within=10&within-units=km&parameter-name=relative-humidity&z=2&datetime=2024-04-06T00:00:00&f=CoverageJSON

Note: You might need to update the value of ‘datetime’ parameter to a more recent time. The server keeps ICON-DE data only for the past two days. When outside of this interval, the server will respond with HTTP 204 (No Content).

GFS

• Weather forecast model
• Website: https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast
• Covers the whole globe
• Spatial resolution ~50 km
• Data access (OGC API EDR): https://climathon.iblsoft.com/data/gfs-0.5deg/edr
  • API description: https://climathon.iblsoft.com/data/gfs-0.5deg/edr/api?f=HTML

Query Examples

1. Formal description of the GFS data available in the server (a.k.a. metadata):
   https://climathon.iblsoft.com/data/gfs-0.5deg/edr/collections
2. Temperature in 2 metres above ground; IBL office location; April 6th 2024 07:00 UTC; output in CoverageJSON format:
   https://climathon.iblsoft.com/data/gfs-0.5deg/edr/collections/height-above-ground/position?coords=POINT(17.1785 48.1628)&parameter-name=temperature&z=2&datetime=2024-04-06T07:00:00Z&f=CoverageJSON
3. Accumulated rain between April 06th 7:00 UTC and April 06th 13:00 UTC (6h interval); IBL office location; output in CoverageJSON format:
   https://climathon.iblsoft.com/data/gfs-0.5deg/edr/collections/single-layer_3/position?coords=POINT(17.1785 48.1628)&parameter-name=total-precipitation_gnd-surf_stat:acc/PT6H&datetime=2024-04-06T07:00:00Z&f=CoverageJSON

Note: You might need to update the value of ‘datetime’ parameter to a more recent time. The server keeps GFS data only for the past two days. When outside of this interval, the server will respond with HTTP 204 (No Content).

See API documentation for more information about the position query.

GEFS

• Weather forecast ensemble model
• Website: https://www.ncei.noaa.gov/products/weather-climate-models/global-ensemble-forecast
• Covers the whole globe
• Spatial resolution ~25 km
• Data access (OGC API EDR): https://climathon.iblsoft.com/data/gefs-0.25deg/edr
  • API description: https://climathon.iblsoft.com/data/gefs-0.25deg/edr/api?f=HTML

Query Examples

1. Formal description of the GFS data available in the server (a.k.a. metadata):
   https://climathon.iblsoft.com/data/gefs-0.25deg/edr/collections
2. Temperature in 2 metres above ground; IBL office location; April 06th 2024 06:00 UTC; output in CoverageJSON format:
   https://climathon.iblsoft.com/data/gefs-0.25deg/edr/collections/single-level_2/position?coords=POINT(17.1785%2048.1628)&parameter-name=total-precipitation_gnd-surf_positively-perturbed_stat:acc/PT6H&datetime=2024-04-06T06:00:00Z&f=CoverageJSON
3. Accumulated rain between April 06th 18:00 UTC and April 06th 06:00 UTC (6h interval); IBL office location; output in CoverageJSON format:
   https://climathon.iblsoft.com/data/gefs-0.25deg/edr/collections/single-level_2/position?coords=POINT(17.1785 48.1628)&total-precipitation_gnd-surf_positively-perturbed_stat:acc/PT6H&datetime=2024-04-06T06:00:00Z&f=CoverageJSON

Note: You might need to update the value of ‘datetime’ parameter to a more recent time. The server keeps GFS data only for the past two days. When outside of this interval, the server will respond with HTTP 204 (No Content).

See API documentation for more information about the position query.

Climate Data

ERA5-Land Historical Monthly Means

• Climate re-analysis dataset = estimate of the state of the atmosphere based mostly on observational data
• Means over a period of one month
• Covers time span 1950-2023 (historical data)
• Website: https://www.ecmwf.int/en/era5-land
• Data access (OGC API EDR): https://climathon.iblsoft.com/data/era5-land-monthly-means/edr
  • API description: https://climathon.iblsoft.com/data/era5-land-monthly-means/edr/api?f=HTML

Query Examples

1. Formal description of the ERA5-Land data available in the server:
   https://climathon.iblsoft.com/data/era5-land-monthly-means/edr/collections
2. Time series of average January snow depths at IBL office location from 2000 to 2005:
   https://climathon.iblsoft.com/data/era5-land-monthly-means/edr/collections/single-layer/position?coords=POINT(17.1785 48.1628)&parameter-name=snow-depth_gnd-surf_stat:avg&datetime=2000-01,2001-01,2002-01,2003-01,2004-01,2005-01&f=CoverageJSON

Note: ERA5-Land Monthly Averages dataset contains averages of meteorological variables over a period of one month. In time axis, 00:00 UTC of the first day of a month represents the whole month, e.g., time axis coordinate 2000-01-01T00:00:00 represents the whole month of January 2000.

ERA5-Land Historical Monthly Means by Hour of Day

• Climate re-analysis dataset = estimate of the state of the atmosphere based mostly on observational data
• Means over a period of month for each individual hour of day
• Covers time span 1950-2023 (historical data)
• Website: https://www.ecmwf.int/en/era5-land
• Data access (OGC API EDR): https://climathon.iblsoft.com/data/era5-land-monthly-means-by-hour/edr
• API description: https://climathon.iblsoft.com/data/era5-land-monthly-means-by-hour/edr/api?f=HTML

Query Examples

1. Formal description of the ERA5-Land data available in the server: https://climathon.iblsoft.com/data/era5-land-monthly-means-by-hour/edr/collections
2. Average 15:00 UTC temperature over July for years 2010, 2011, …, 2015 at IBL office location: https://climathon.iblsoft.com/data/era5-land-monthly-means-by-hour/edr/collections/height-above-ground/position?coords=POINT(17.1785 48.1628)&parameter-name=temperature&datetime=2010-07-01T15:00,2011-07-01T15:00,2012-07-01T15:00,2013-07-01T15:00,2014-07-01T15:00,2015-07-01T15:00

Note: Time frame 2010-07-01 15:00 UTC represents average value of a parameter over 2010-07-01 15:00 UTC, 2010-07-02 15:00 UTC, … 2010-07-31 15:00 UTC.

HadGEM3 Future Climate Forecast

• Climate projection model = estimate of the future evolution of climate based on Shared Socioeconomic Pathways (SSP).
• Three scenarios available: SSP1-2.6, SSP2-4.5, SSP5-8.5
• Monthly means
• Covers time span 2015-2080
• Website: https://www.metoffice.gov.uk/research/approach/modelling-systems/unified-model/climate-models/hadgem3
• Data access (OGC API EDR): https://climathon.iblsoft.com/data/hadgem3-gc31-ll/edr
  • API description: https://climathon.iblsoft.com/data/hadgem3-gc31-ll/edr/api?f=HTML

Query Examples

1. Formal description of the HadGEM3-GC31-LL data available in the server:
   https://climathon.iblsoft.com/data/hadgem3-gc31-ll/edr/collections
2. Average total cloud coverage in May 2080 at IBL office location:   https://climathon.iblsoft.com/data/hadgem3-gc31-ll/edr/collections/ssp1-2.6_single-layer/position?coords=POINT(17.1785 48.1628)&parameter-name=total-cloud-cover_atmosphere_stat:avg&datetime=2080-05-16&f=CoverageJSON

Note: HadGEM3-GC31-LL dataset contains averages of meteorological variables over a period of one month. In time axis, 00:00 UTC of the 16th day of a month represents the whole month, e.g., time axis coordinate 2080-05-16T00:00:00 represents the whole month of May 2080.