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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).

Source: Global Surface-Temperature Signals (derived)5,280 lignesMis à jour: 22/09/2026
global-warmingtemperature-anomalygistempnasaparis-agreementclimate-changehemispheresmomentumanomaly-detectionforecastingsignalstrend-analysis

Qualité

99.9

Attribution

NASA Goddard Institute for Space Studies Surface Temperature Analysis (GISTEMP) (derived signals by Frontier Data Hub)

Schéma

ColonneTypeDescription
datestringReference month (first of month) for the monthly temperature anomaly. (unit: ISO date)
countrystringPlanetary indices — country is 'World'.
country_codestringPlanetary indices — country_code is 'WLD'.
series_idstringConnector series code: GLB (global), NH (Northern Hemisphere), or SH (Southern Hemisphere).
series_labelstringGISTEMP-based series label, e.g. 'Global-mean land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5)'.
valuefloatMonthly 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_3mfloat
yoy_changefloat
volatility_30dfloat
anomaly_flaginteger
forecast_1mfloat
temp_z_10yfloat
warming_trend_10yfloat
record_flaginteger
above_1_5c_flaginteger

Exemple de lignes

datecountrycountry_codeseries_idseries_labelvaluemomentum_3myoy_changevolatility_30danomaly_flagforecast_1mtemp_z_10ywarming_trend_10yrecord_flagabove_1_5c_flag
1880-01-01WorldWLDGLBGlobal-mean land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5)-0.19010
1880-01-01WorldWLDNHNorthern Hemisphere land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5)-0.37010
1880-01-01WorldWLDSHSouthern Hemisphere land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5)-0.01010
1880-02-01WorldWLDGLBGlobal-mean land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5)-0.26000
1880-02-01WorldWLDNHNorthern Hemisphere land-ocean temperature index (monthly anomaly vs 1951-1980, degrees C; GHCN-v4 + ERSST v5)-0.52000

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.

Global surface-temperature signals (GISTEMP warming gauges)