ENSO climate-oscillation signals (El Nino / La Nina gauges)
Monthly ENSO signals derived from the NOAA Climate Prediction Center (ONI, Nino 3.4 SST anomaly, and Southern Oscillation Index, 1950 ->): 3-month changes, 30-month change volatility, 3-sigma anomaly flags vs a trailing-10-year baseline, naive-drift 1-month forecasts, per-month cross-series volatility ranks, 10-year anomaly z-scores, and El Nino / La Nina phase flags (ONI +/-0.5C thresholds). The global ocean-atmosphere driver companion to the surface-climate signals. Raw data: NOAA Climate Prediction Center (keyless, public domain).
Qualité
Attribution
NOAA Climate Prediction Center (derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference month (first of month). ONI seasons are mapped to their middle month. (unit: ISO date) |
| country | string | Global index — country is 'World'. |
| country_code | string | Global index — country_code is 'WLD'. |
| series_id | string | CPC index code: ONI, NINO34, or SOI. |
| series_label | string | NOAA CPC index label, e.g. 'Oceanic Nino Index: 3-month running mean SST anomaly, Nino 3.4 region (5N-5S, 120W-170W)'. |
| value | float | Index value: for ONI, the 3-month running mean SST anomaly in the Nino 3.4 region (degrees C); for NINO34, the monthly Nino 3.4 SST anomaly (degrees C); for SOI, the standardized Tahiti-minus-Darwin sea-level-pressure difference (standard deviations). (unit: degrees C or standard deviations (per series_id)) |
| momentum_3m | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| enso_z_10y | float | |
| el_nino_flag | integer | |
| la_nina_flag | integer | |
| enso_phase | string | |
| warm_flag | integer | |
| cold_flag | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | volatility_30d | anomaly_flag | forecast_1m | rank | enso_z_10y | el_nino_flag | la_nina_flag | enso_phase | warm_flag | cold_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1949-12-01 | World | WLD | NINO34 | Nino 3.4 monthly sea-surface temperature anomaly (ERSST-based) | -1.03 | — | — | 0 | — | — | — | 0 | 0 | Neutral | 0 | 1 |
| 1950-01-01 | World | WLD | NINO34 | Nino 3.4 monthly sea-surface temperature anomaly (ERSST-based) | -1.34 | — | — | 0 | — | — | — | 0 | 0 | Neutral | 0 | 1 |
| 1950-01-01 | World | WLD | ONI | Oceanic Nino Index: 3-month running mean SST anomaly, Nino 3.4 region (5N-5S, 120W-170W) | -1.32 | — | — | 0 | — | — | — | 0 | 1 | La Nina | 0 | 1 |
| 1950-02-01 | World | WLD | NINO34 | Nino 3.4 monthly sea-surface temperature anomaly (ERSST-based) | -1.19 | — | — | 0 | — | — | — | 0 | 0 | Neutral | 0 | 1 |
| 1950-02-01 | World | WLD | ONI | Oceanic Nino Index: 3-month running mean SST anomaly, Nino 3.4 region (5N-5S, 120W-170W) | -1.2 | — | — | 0 | — | — | — | 0 | 1 | La Nina | 0 | 1 |
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/enso_signals/enso_climate_oscillation_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/enso_signals/enso_climate_oscillation_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/enso_signals/enso_climate_oscillation_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.