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).
Quality
Attribution
NOAA Climate Prediction Center (derived signals by Frontier Data Hub)
Schema
| Column | 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 |
Sample rows
| 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 |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/enso_signals/enso_climate_oscillation_signals
Tip: fetch /llms.txt for the full machine-readable catalog.