Global CO2 growth signals (growth rate, acceleration, records)
Monthly global CO2 accumulation signals from NOAA Global Monitoring Laboratory measurements (1974 ->): the de-seasonalized global monthly mean with 3-month momentum, year-on-year change, 30-month change volatility, 3-sigma anomaly flags, naive-drift forecasts, the annual growth rate (ppm/yr and %), growth acceleration, a rolling 10-year trend slope, record-high flags and an acceleration flag. The pace-of-accumulation lens on the carbon cycle — levels always rise, so the growth rate is the signal. Companion to us-carbon-accountability-signals (company emissions) and us-climate-signals (city temperatures). Rows normalized to country_code WLD (World). Raw data: NOAA Global Monitoring Laboratory.
Qualité
Attribution
NOAA Global Monitoring Laboratory; signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | First day of the observation month (NOAA GML co2_mm_gl.txt year/month fields). |
| country | string | |
| country_code | string | |
| series_id | string | CO2_GML: global monthly mean atmospheric CO2 from the NOAA GML cooperative air-sampling network (co2_mm_gl.txt). |
| series_label | string | Global monthly mean atmospheric CO2, de-seasonalized, in parts per million (NOAA GML). |
| value | float | De-seasonalized global monthly mean CO2 mole fraction in dry air, parts per million (NOAA GML co2_mm_gl.txt column 5). |
| momentum_3m | float | |
| yoy_change | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| growth_yoy | float | |
| growth_rate_yoy_pct | float | |
| growth_acceleration | float | |
| trend_slope_10y | float | |
| record_high_flag | integer | |
| accel_flag | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | yoy_change | volatility_30d | anomaly_flag | forecast_1m | growth_yoy | growth_rate_yoy_pct | growth_acceleration | trend_slope_10y | record_high_flag | accel_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1979-01-01 | World | WLD | CO2_GML | Global monthly mean atmospheric CO2, de-seasonalized (NOAA GML, ppm) | 0.1 | — | — | — | 0 | — | — | — | — | — | 0 | 0 |
| 1979-02-01 | World | WLD | CO2_GML | Global monthly mean atmospheric CO2, de-seasonalized (NOAA GML, ppm) | 0.09 | — | — | — | 0 | — | — | — | — | — | 0 | 0 |
| 1979-03-01 | World | WLD | CO2_GML | Global monthly mean atmospheric CO2, de-seasonalized (NOAA GML, ppm) | 0.1 | — | — | — | 0 | — | — | — | — | — | 1 | 0 |
| 1979-04-01 | World | WLD | CO2_GML | Global monthly mean atmospheric CO2, de-seasonalized (NOAA GML, ppm) | 0.11 | 0.009999999999999995 | — | — | 0 | — | — | — | — | — | 1 | 0 |
| 1979-05-01 | World | WLD | CO2_GML | Global monthly mean atmospheric CO2, de-seasonalized (NOAA GML, ppm) | 0.04 | -0.049999999999999996 | — | — | 0 | — | — | — | — | — | 0 | 0 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/co2_growth_signals/global_co2_growth_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/co2_growth_signals/global_co2_growth_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API: https://datazimuts.com/v1/datasets/co2_growth_signals/global_co2_growth_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.