[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
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...
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Data schema (10 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| date | date | — |
| temperature_minimale_journaliere_a_2_mTemperature minimale journaliere a 2 m | double | — |
| temperature_maximale_journaliere_a_2_mTemperature maximale journaliere a 2 m | double | — |
| temperature_moyenne_a_2_mTemperature moyenne a 2 m | double | — |
| precipitations_totalesPrecipitations totales | double | — |
| precipitations_solidesPrecipitations solides | double | — |
| humidite_specifique_a_2_mHumidite specifique a 2 m | double | — |
| vitesse_du_vent_a_10_mVitesse du vent a 10 m | double | — |
| evapo_transpiration_potentielle_hargreavesEvapo transpiration potentielle hargreaves | double | — |
| geopoint | geo_point_2d | — |
Schema captured from opendatasoft 6 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: 2058-09 · geopoint: {"lat":48.5355,"lon":2.60792}
{
"date": "2058-09",
"geopoint": {
"lat": 48.5355,
"lon": 2.60792
},
"precipitations_solides": 0,
"precipitations_totales": 4.319,
"vitesse_du_vent_a_10_m": 142867.594,
"humidite_specifique_a_2_m": 12.208,
"temperature_moyenne_a_2_m": 17.59,
"temperature_maximale_journaliere_a_2_m": 20.81,
"temperature_minimale_journaliere_a_2_m": 15.01,
"evapo_transpiration_potentielle_hargreaves": 1.63
}Record 2date: 2058-09 · geopoint: {"lat":48.5355,"lon":2.60792}
{
"date": "2058-09",
"geopoint": {
"lat": 48.5355,
"lon": 2.60792
},
"precipitations_solides": 0,
"precipitations_totales": 5.776,
"vitesse_du_vent_a_10_m": 306332.938,
"humidite_specifique_a_2_m": 11.747,
"temperature_moyenne_a_2_m": 16.12,
"temperature_maximale_journaliere_a_2_m": 20.19,
"temperature_minimale_journaliere_a_2_m": 13.66,
"evapo_transpiration_potentielle_hargreaves": 1.425
}Record 3date: 2058-09 · geopoint: {"lat":48.5355,"lon":2.60792}
{
"date": "2058-09",
"geopoint": {
"lat": 48.5355,
"lon": 2.60792
},
"precipitations_solides": 0,
"precipitations_totales": 0,
"vitesse_du_vent_a_10_m": 345749.469,
"humidite_specifique_a_2_m": 9.04,
"temperature_moyenne_a_2_m": 15.96,
"temperature_maximale_journaliere_a_2_m": 18.95,
"temperature_minimale_journaliere_a_2_m": 11.32,
"evapo_transpiration_potentielle_hargreaves": 1.907
}Record 4date: 2058-07 · geopoint: {"lat":48.5355,"lon":2.60792}
{
"date": "2058-07",
"geopoint": {
"lat": 48.5355,
"lon": 2.60792
},
"precipitations_solides": 0,
"precipitations_totales": 0,
"vitesse_du_vent_a_10_m": 171802.938,
"humidite_specifique_a_2_m": 8.856,
"temperature_moyenne_a_2_m": 14.39,
"temperature_maximale_journaliere_a_2_m": 18.11,
"temperature_minimale_journaliere_a_2_m": 10.61,
"evapo_transpiration_potentielle_hargreaves": 1.246
}Record 5date: 2058-10 · geopoint: {"lat":48.5355,"lon":2.60792}
{
"date": "2058-10",
"geopoint": {
"lat": 48.5355,
"lon": 2.60792
},
"precipitations_solides": 0,
"precipitations_totales": 1.403,
"vitesse_du_vent_a_10_m": 255992.828,
"humidite_specifique_a_2_m": 6.41,
"temperature_moyenne_a_2_m": 9.9,
"temperature_maximale_journaliere_a_2_m": 11.65,
"temperature_minimale_journaliere_a_2_m": 7.45,
"evapo_transpiration_potentielle_hargreaves": 0.868
}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.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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