Global surface-temperature signals (GISTEMP warming gauges)
Monthly global surface-temperature signals from NASA GISTEMP (global, Northern Hemisphere, Southern Hemisphere land-ocean indices, 1880 ->, anomalies vs 1951-1980): 3-month and 12-month changes, 30-month change volatility, 3-sigma anomaly flags, naive-drift forecasts, 10-year warmth z-scores, trailing-10-year warming trends (C/decade), record-warmth flags, and +1.5 C Paris-threshold flags. The planetary-outcome lens on climate change — the warming behind the CO2 driver (co2-growth), the ENSO driver (enso), and city heat extremes (city-climate-stress). All rows normalized to country_code WLD. Raw data: NASA GISS (keyless, public domain).
Qualité
Attribution
NASA Goddard Institute for Space Studies Surface Temperature Analysis (GISTEMP) (derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference month (first of month) for the monthly temperature anomaly. (unit: ISO date) |
| country | string | Planetary indices — country is 'World'. |
| country_code | string | Planetary indices — country_code is 'WLD'. |
| series_id | string | Connector series code: GLB (global), NH (Northern Hemisphere), or SH (Southern Hemisphere). |
| series_label | string | GISTEMP-based series label, e.g. 'Global-mean land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5)'. |
| value | float | Monthly land-ocean temperature anomaly relative to the 1951-1980 base period (sources: GHCN-v4 land temperatures plus ERSST v5 sea-surface temperatures). (unit: degrees C (per series_id)) |
| momentum_3m | float | |
| yoy_change | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| temp_z_10y | float | |
| warming_trend_10y | float | |
| record_flag | integer | |
| above_1_5c_flag | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | yoy_change | volatility_30d | anomaly_flag | forecast_1m | temp_z_10y | warming_trend_10y | record_flag | above_1_5c_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1880-01-01 | World | WLD | GLB | Global-mean land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5) | -0.19 | — | — | — | 0 | — | — | — | 1 | 0 |
| 1880-01-01 | World | WLD | NH | Northern Hemisphere land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5) | -0.37 | — | — | — | 0 | — | — | — | 1 | 0 |
| 1880-01-01 | World | WLD | SH | Southern Hemisphere land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5) | -0.01 | — | — | — | 0 | — | — | — | 1 | 0 |
| 1880-02-01 | World | WLD | GLB | Global-mean land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5) | -0.26 | — | — | — | 0 | — | — | — | 0 | 0 |
| 1880-02-01 | World | WLD | NH | Northern Hemisphere land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5) | -0.52 | — | — | — | 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/global_temp_signals/global_surface_temperature_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/global_temp_signals/global_surface_temperature_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/global_temp_signals/global_surface_temperature_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.