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[DRIAS-CLIMAT GPS] RCP 4.5 Scenario: Stabilizing CO2 Concentrations[DRIAS-CLIMAT GPS] RCP 4.5 - Scénario : stabiliser les concentrations en CO2

[DRIAS-CLIMAT GPS] RCP 4.5 - Scénario : stabiliser les concentrations en CO2[DRIAS-CLIMAT GPS] RCP 4.5 Scenario: Stabilizing CO2 Concentrations

APIExecutable4/7Query nowOpen workbenchSubscribe🇫🇷France

This dataset provides climate projections to the horizon 2100 for the Grand Paris Sud territory under the RCP 4.5 scenario, which assumes stabilization of atmospheric CO2 concentrations. It is published via the Grand Paris Sud open data portal as part of the DRIAS-Climat series. Variables include daily minimum, maximum and mean air temperature at 2 m, total precipitation, solid precipitation (snow or hail), and specific humidity. The data supports analysis of projected long-term changes in local weather patterns and can inform climate adaptation planning at the territorial level.Projections à l'horizon 2100 de l'évolution des données météorologiques. Unités de mesure : Température minimale journalière à 2 m (°C) Température maximale journalière à 2 m (°C) Température moyenne à 2 m (°C) Précipitations totales (mm) Précipitations solides : neige ou grêle (mm) Humidité spéc...

environment
45
fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (10 fields)

Filterable via the API (9)
datetemperature_minimale_journaliere_a_2_mtemperature_maximale_journaliere_a_2_mtemperature_moyenne_a_2_mprecipitations_totalesprecipitations_solideshumidite_specifique_a_2_mvitesse_du_vent_a_10_mevapo_transpiration_potentielle_hargreaves

Click a field to see example values.

FieldTypeDescription
dateFilterable via the APIdateMonth and year of the projected climate data.Month and year of the projected climate data.
temperature_minimale_journaliere_a_2_mFilterable via the APITemperature minimale journaliere a 2 mdoubleProjected minimum daily air temperature at 2 m, in °C.Projected minimum daily air temperature at 2 m, in °C.
temperature_maximale_journaliere_a_2_mFilterable via the APITemperature maximale journaliere a 2 mdoubleProjected maximum daily air temperature at 2 m, in °C.Projected maximum daily air temperature at 2 m, in °C.
temperature_moyenne_a_2_mFilterable via the APITemperature moyenne a 2 mdoubleProjected average air temperature at 2 m, in °C.Projected average air temperature at 2 m, in °C.
precipitations_totalesFilterable via the APIPrecipitations totalesdoubleProjected total precipitation, in mm.Projected total precipitation, in mm.
precipitations_solidesFilterable via the APIPrecipitations solidesdoubleProjected solid precipitation (snow or hail), in mm.Projected solid precipitation (snow or hail), in mm.
humidite_specifique_a_2_mFilterable via the APIHumidite specifique a 2 mdoubleProjected specific humidity at 2 m above ground.Projected specific humidity at 2 m above ground.
vitesse_du_vent_a_10_mFilterable via the APIVitesse du vent a 10 mdoubleProjected wind speed at 10 m above ground.Projected wind speed at 10 m above ground.
evapo_transpiration_potentielle_hargreavesFilterable via the APIEvapo transpiration potentielle hargreavesdoubleProjected potential evapotranspiration, Hargreaves method.Projected potential evapotranspiration, Hargreaves method.
geopointgeo_point_2dGeographic coordinates of the projection point.Geographic coordinates of the projection point.

Schema captured from opendatasoft 2 days ago.

Query the data

Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.

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Sample data (5 records)

Record 1date: 2035-08 · geopoint: {"lat":48.6793,"lon":2.60866}
{
  "date": "2035-08",
  "geopoint": {
    "lat": 48.6793,
    "lon": 2.60866
  },
  "precipitations_solides": 0,
  "precipitations_totales": 0,
  "vitesse_du_vent_a_10_m": 214146.719,
  "humidite_specifique_a_2_m": 9.188,
  "temperature_moyenne_a_2_m": 16.11,
  "temperature_maximale_journaliere_a_2_m": 18.4,
  "temperature_minimale_journaliere_a_2_m": 11.85,
  "evapo_transpiration_potentielle_hargreaves": 2.127
}
Record 2date: 2082-02 · geopoint: {"lat":48.5357,"lon":2.49963}
{
  "date": "2082-02",
  "geopoint": {
    "lat": 48.5357,
    "lon": 2.49963
  },
  "precipitations_solides": 0,
  "precipitations_totales": 0,
  "vitesse_du_vent_a_10_m": 239270.109,
  "humidite_specifique_a_2_m": 9.596,
  "temperature_moyenne_a_2_m": 16.2,
  "temperature_maximale_journaliere_a_2_m": 20.25,
  "temperature_minimale_journaliere_a_2_m": 10.04,
  "evapo_transpiration_potentielle_hargreaves": 3.226
}
Record 3date: 2056-07 · geopoint: {"lat":48.6076,"lon":2.49985}
{
  "date": "2056-07",
  "geopoint": {
    "lat": 48.6076,
    "lon": 2.49985
  },
  "precipitations_solides": 0,
  "precipitations_totales": 0.47,
  "vitesse_du_vent_a_10_m": 186516.875,
  "humidite_specifique_a_2_m": 10.858,
  "temperature_moyenne_a_2_m": 21.3,
  "temperature_maximale_journaliere_a_2_m": 26.21,
  "temperature_minimale_journaliere_a_2_m": 16.99,
  "evapo_transpiration_potentielle_hargreaves": 4.148
}
Record 4date: 2064-09 · geopoint: {"lat":48.6074,"lon":2.60829}
{
  "date": "2064-09",
  "geopoint": {
    "lat": 48.6074,
    "lon": 2.60829
  },
  "precipitations_solides": 0,
  "precipitations_totales": 0,
  "vitesse_du_vent_a_10_m": 274495.406,
  "humidite_specifique_a_2_m": 9.644,
  "temperature_moyenne_a_2_m": 16.9,
  "temperature_maximale_journaliere_a_2_m": 21.92,
  "temperature_minimale_journaliere_a_2_m": 12.99,
  "evapo_transpiration_potentielle_hargreaves": 2.46
}
Record 5date: 2071-04 · geopoint: {"lat":48.5358,"lon":2.39134}
{
  "date": "2071-04",
  "geopoint": {
    "lat": 48.5358,
    "lon": 2.39134
  },
  "precipitations_solides": 0,
  "precipitations_totales": 1.147,
  "vitesse_du_vent_a_10_m": 98445.023,
  "humidite_specifique_a_2_m": 4.582,
  "temperature_moyenne_a_2_m": 2.47,
  "temperature_maximale_journaliere_a_2_m": 3.7,
  "temperature_minimale_journaliere_a_2_m": 1.58,
  "evapo_transpiration_potentielle_hargreaves": 0.166
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL
https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/drias-climat-gps-rcp-45-scenario-stabiliser-les-concentrations-en-co2

License

  • ✓ Redistributable
  • ✓ Attribution required

Query examples

curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/drias-climat-gps-rcp-45-scenario-stabiliser-les-concentrations-en-co2/records?limit=20' -H 'Accept: application/json'

First 20 records of the dataset as JSON.

Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.

Full API documentation ↗

Rate limits

5 000 req/day
per ipmeasured
observed 2 days ago

Dataset

Volume & freshness

Records
256k
256401
Last upstream update
3 years ago
2023-11-28

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

[DRIAS-CLIMAT GPS] RCP 4.5 - Scénario : stabiliser les concentrations en CO2 — live verification badge

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