[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
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...
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Data schema (10 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| date | date | Month and year of the projected climate data.Month and year of the projected climate data. |
| temperature_minimale_journaliere_a_2_mTemperature minimale journaliere a 2 m | double | Projected minimum daily air temperature at 2 m, in °C.Projected minimum daily air temperature at 2 m, in °C. |
| temperature_maximale_journaliere_a_2_mTemperature maximale journaliere a 2 m | double | Projected maximum daily air temperature at 2 m, in °C.Projected maximum daily air temperature at 2 m, in °C. |
| temperature_moyenne_a_2_mTemperature moyenne a 2 m | double | Projected average air temperature at 2 m, in °C.Projected average air temperature at 2 m, in °C. |
| precipitations_totalesPrecipitations totales | double | Projected total precipitation, in mm.Projected total precipitation, in mm. |
| precipitations_solidesPrecipitations solides | double | Projected solid precipitation (snow or hail), in mm.Projected solid precipitation (snow or hail), in mm. |
| humidite_specifique_a_2_mHumidite specifique a 2 m | double | Projected specific humidity at 2 m above ground.Projected specific humidity at 2 m above ground. |
| vitesse_du_vent_a_10_mVitesse du vent a 10 m | double | Projected wind speed at 10 m above ground.Projected wind speed at 10 m above ground. |
| evapo_transpiration_potentielle_hargreavesEvapo transpiration potentielle hargreaves | double | Projected potential evapotranspiration, Hargreaves method.Projected potential evapotranspiration, Hargreaves method. |
| geopoint | geo_point_2d | Geographic 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.
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.
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