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[DRIAS-CLIMAT GPS] RCP 2.6 - Scenario: declining CO2 concentrations[DRIAS-CLIMAT GPS] RCP 2.6 - Scénario : baisse les concentrations en CO2

[DRIAS-CLIMAT GPS] RCP 2.6 - Scénario : baisse les concentrations en CO2[DRIAS-CLIMAT GPS] RCP 2.6 - Scenario: declining CO2 concentrations

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This dataset provides climate projections through 2100 under the RCP 2.6 scenario, which assumes declining atmospheric CO2 concentrations. It is published via the Grand Paris Sud open-data portal as part of the DRIAS-CLIMAT GPS collection. Measured variables include daily minimum, maximum and mean air temperature at 2 m (°C), total precipitation (mm), solid precipitation such as snow or hail (mm), and specific humidity. The data allow analysis of long-term trends in local meteorological conditions under a moderate-emissions climate scenario, useful for climate adaptation and planning studies in the Grand Paris Sud territory.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 APIdateDate or month of the climate projection.Date or month of the climate projection.
temperature_minimale_journaliere_a_2_mFilterable via the APITemperature minimale journaliere a 2 mdoubleProjected daily minimum temperature at 2 m, in °C.Projected daily minimum temperature at 2 m, in °C.
temperature_maximale_journaliere_a_2_mFilterable via the APITemperature maximale journaliere a 2 mdoubleProjected daily maximum temperature at 2 m, in °C.Projected daily maximum temperature at 2 m, in °C.
temperature_moyenne_a_2_mFilterable via the APITemperature moyenne a 2 mdoubleProjected average temperature at 2 m, in °C.Projected average 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.Projected specific humidity at 2 m.
vitesse_du_vent_a_10_mFilterable via the APIVitesse du vent a 10 mdoubleProjected wind speed at 10 m.Projected wind speed at 10 m.
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: 2031-07 · geopoint: {"lat":48.5357,"lon":2.49963}
{
  "date": "2031-07",
  "geopoint": {
    "lat": 48.5357,
    "lon": 2.49963
  },
  "precipitations_solides": 0,
  "precipitations_totales": 1.494,
  "vitesse_du_vent_a_10_m": 503172,
  "humidite_specifique_a_2_m": 7.809,
  "temperature_moyenne_a_2_m": 12.78,
  "temperature_maximale_journaliere_a_2_m": 14.84,
  "temperature_minimale_journaliere_a_2_m": 9.97,
  "evapo_transpiration_potentielle_hargreaves": 2.182
}
Record 2date: 2095-08 · geopoint: {"lat":48.6796,"lon":2.39149}
{
  "date": "2095-08",
  "geopoint": {
    "lat": 48.6796,
    "lon": 2.39149
  },
  "precipitations_solides": 0,
  "precipitations_totales": 3.274,
  "vitesse_du_vent_a_10_m": 311521.25,
  "humidite_specifique_a_2_m": 5.634,
  "temperature_moyenne_a_2_m": 7.65,
  "temperature_maximale_journaliere_a_2_m": 10.42,
  "temperature_minimale_journaliere_a_2_m": 4.65,
  "evapo_transpiration_potentielle_hargreaves": 0.999
}
Record 3date: 2047-03 · geopoint: {"lat":48.5358,"lon":2.39134}
{
  "date": "2047-03",
  "geopoint": {
    "lat": 48.5358,
    "lon": 2.39134
  },
  "precipitations_solides": 0,
  "precipitations_totales": 0,
  "vitesse_du_vent_a_10_m": 243671.328,
  "humidite_specifique_a_2_m": 3.972,
  "temperature_moyenne_a_2_m": 4.35,
  "temperature_maximale_journaliere_a_2_m": 9.45,
  "temperature_minimale_journaliere_a_2_m": -0.85,
  "evapo_transpiration_potentielle_hargreaves": 1.555
}
Record 4date: 2100-02 · geopoint: {"lat":48.6796,"lon":2.39149}
{
  "date": "2100-02",
  "geopoint": {
    "lat": 48.6796,
    "lon": 2.39149
  },
  "precipitations_solides": 0,
  "precipitations_totales": 3.021,
  "vitesse_du_vent_a_10_m": 713618.188,
  "humidite_specifique_a_2_m": 6.114,
  "temperature_moyenne_a_2_m": 8.12,
  "temperature_maximale_journaliere_a_2_m": 9.24,
  "temperature_minimale_journaliere_a_2_m": 6.65,
  "evapo_transpiration_potentielle_hargreaves": 0.578
}
Record 5date: 2058-01 · geopoint: {"lat":48.6077,"lon":2.39142}
{
  "date": "2058-01",
  "geopoint": {
    "lat": 48.6077,
    "lon": 2.39142
  },
  "precipitations_solides": 0,
  "precipitations_totales": 0.728,
  "vitesse_du_vent_a_10_m": 258247.875,
  "humidite_specifique_a_2_m": 4.952,
  "temperature_moyenne_a_2_m": 4.95,
  "temperature_maximale_journaliere_a_2_m": 6.63,
  "temperature_minimale_journaliere_a_2_m": 1.95,
  "evapo_transpiration_potentielle_hargreaves": 0.269
}

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-2-6-scenario-baisse-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-2-6-scenario-baisse-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
2023-11-27

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

[DRIAS-CLIMAT GPS] RCP 2.6 - Scénario : baisse les concentrations en CO2 — live verification badge

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