Metro daily thermal-demand intelligence (NASA POWER)
Daily heating/cooling degree-day panel for the 20 North-American prediction metros (15 US + 5 CA), from keyless NASA POWER daily 2-meter air temperature (2020-01-01 -> latest POWER day, ~2-day lag). Daily HDD/CDD (base 65F), trailing 7/30-day thermal loads, same-day-of-year anomalies vs a trailing-5-year baseline, heat-wave/cold-snap flags (metro 95th percentiles), season flags, and a documented 0-100 thermal_demand_score. The current daily companion to the weekly NOAA-GSOD metro_degree_days panel (which ends Aug 2025). Joinable by (date, metro) to Shopify/Stripe/HubSpot data. Caveats: POWER is a reanalysis/model blend, not station observations; first 6 days per metro lack a 7-day window (NaN, never padded); anomaly baselines need 3+ prior same-doy years. NASA US-government data, no copyright restriction (CC0-1.0), commercial use allowed.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Source
- NASA POWER
- Lignes
- 49 220
- Colonnes
- 26
- Cadence de la source
- Quotidienne
- Dernière actualisation
- 29 sept. 2026
- Thème
- economics
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference day, ISO date. Panel runs 2020-01-01 to the latest POWER daily day (~2-day lag). (unit: ISO date) |
| metro | string | Metro label (primary international airport city), e.g. 'New York'. Primary join key with date. |
| state_province | string | US state or Canadian province of the metro. |
| country | string | Canonical country name via hub.normalize. |
| country_code | string | ISO alpha-3 country code (USA / CAN). (unit: ISO 3166-1 alpha-3) |
| icao | string | ICAO code of the metro's primary international airport (the POWER point location). |
| latitude | float | POWER point latitude (airport coordinates). (unit: decimal degrees) |
| longitude | float | POWER point longitude (airport coordinates). (unit: decimal degrees) |
| tavg_f | float | Daily mean 2-meter air temperature from POWER T2M, converted to Fahrenheit. (unit: degrees Fahrenheit) |
| hdd | float | Daily heating degree-days = max(0, 65 - tavg_f). (unit: degree-days (F)) |
| cdd | float | Daily cooling degree-days = max(0, tavg_f - 65). (unit: degree-days (F)) |
| total_dd | float | Daily total degree-days = hdd + cdd. (unit: degree-days (F)) |
| hdd_7d | float | Trailing 7-day heating degree-day load (min 7 valid days; NaN on the metro's first 6 days). (unit: degree-days (F)) |
| cdd_7d | float | Trailing 7-day cooling degree-day load (min 7 valid days; NaN on the metro's first 6 days). (unit: degree-days (F)) |
| hdd_30d | float | Trailing 30-day heating degree-day load (min 30 valid days). (unit: degree-days (F)) |
| cdd_30d | float | Trailing 30-day cooling degree-day load (min 30 valid days). (unit: degree-days (F)) |
| temp_anomaly_f | float | tavg_f minus the trailing-5-calendar-year mean of the same day-of-year (min 3 prior years; NaN otherwise, never imputed). (unit: degrees Fahrenheit) |
| hdd_anomaly_5y | float | Daily hdd minus the trailing-5-year same-day-of-year mean (min 3 prior years). (unit: degree-days (F)) |
| cdd_anomaly_5y | float | Daily cdd minus the trailing-5-year same-day-of-year mean (min 3 prior years). (unit: degree-days (F)) |
| heat_wave_day | integer | 1 when daily cdd is at or above the metro's own 95th percentile of daily cdd over the full panel. (unit: binary) |
| cold_snap_day | integer | 1 when daily hdd is at or above the metro's own 95th percentile of daily hdd over the full panel. (unit: binary) |
| heating_season_flag | integer | 1 in months Oct-Mar. (unit: binary) |
| cooling_season_flag | integer | 1 in months Jun-Aug. (unit: binary) |
| thermal_demand_score | float | Documented 0-100 composite: 100 * percentile rank (average method) of the metro's trailing-7-day total degree-days (hdd_7d + cdd_7d) within its own full panel history. Higher = more thermal demand than the metro usually sees. NaN on the first 6 days per metro. (unit: 0-100 score) |
| source | string | Upstream source behind the row ('NASA POWER daily point T2M'). |
| row_hash | string | Deterministic 16-hex row hash of metro + date (idempotency). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| date | metro | state_province | country | country_code | icao | latitude | longitude | tavg_f | hdd | cdd | total_dd | hdd_7d | cdd_7d | hdd_30d | cdd_30d | temp_anomaly_f | hdd_anomaly_5y | cdd_anomaly_5y | heat_wave_day | cold_snap_day | heating_season_flag | cooling_season_flag | thermal_demand_score | source | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-01-01 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 41,846 | 23,154 | 0 | 23,154 | — | — | — | — | — | — | — | 0 | 0 | 1 | 0 | — | NASA POWER daily point T2M | 8fa6b67e8acf5b99 |
| 2020-01-02 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 45,806 | 19,194 | 0 | 19,194 | — | — | — | — | — | — | — | 0 | 0 | 1 | 0 | — | NASA POWER daily point T2M | 805002fb54bf3462 |
| 2020-01-03 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 62,276 | 2,724 | 0 | 2,724 | — | — | — | — | — | — | — | 0 | 0 | 1 | 0 | — | NASA POWER daily point T2M | ac4adc664878c22f |
| 2020-01-04 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 49,154 | 15,846 | 0 | 15,846 | — | — | — | — | — | — | — | 0 | 0 | 1 | 0 | — | NASA POWER daily point T2M | 666f8b76bbfa3dd3 |
| 2020-01-05 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 38,444 | 26,556 | 0 | 26,556 | — | — | — | — | — | — | — | 0 | 0 | 1 | 0 | — | NASA POWER daily point T2M | a42ffaab1f7255ba |
| 2020-01-06 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 45,662 | 19,338 | 0 | 19,338 | — | — | — | — | — | — | — | 0 | 0 | 1 | 0 | — | NASA POWER daily point T2M | 01ef6b4f05d75e67 |
| 2020-01-07 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 46,706 | 18,294 | 0 | 18,294 | 125,106 | 0 | — | — | — | — | — | 0 | 0 | 1 | 0 | 79,1 | NASA POWER daily point T2M | 1f6e7d4de9bbda57 |
| 2020-01-08 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 44,438 | 20,562 | 0 | 20,562 | 122,514 | 0 | — | — | — | — | — | 0 | 0 | 1 | 0 | 77,5 | NASA POWER daily point T2M | ddb4b467af1fb59f |
| 2020-01-09 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 47,048 | 17,952 | 0 | 17,952 | 121,272 | 0 | — | — | — | — | — | 0 | 0 | 1 | 0 | 76,5 | NASA POWER daily point T2M | b6a0bb7f2081aa7c |
| 2020-01-10 | Atlanta | Georgia | — | USA | KATL | 33,63 | -84,442 | 55,94 | 9,06 | 0 | 9,06 | 127,608 | 0 | — | — | — | — | — | 0 | 0 | 1 | 0 | 80,8 | NASA POWER daily point T2M | 60f9a7d3feb25935 |
- Actuelle
20260929T105935Z-1415892c6633 · sha256 1415892c6633…
49 220 lignes · premier instantané
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 "https://datazimuts.com/v1/datasets/metro_thermal_demand_intel/metro_daily_thermal_demand" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/metro_thermal_demand_intel/metro_daily_thermal_demand").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/metro_thermal_demand_intel/metro_daily_thermal_demand
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
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Épinglé à l’instantané 20260929T105935Z-1415892c6633 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
NASA POWER. (2026). Metro daily thermal-demand intelligence (NASA POWER) [Data set, snapshot 20260929T105935Z-1415892c6633, sha256 1415892c6633]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/fr/datasets/metro_thermal_demand_intel/metro_daily_thermal_demand?snapshot=20260929T105935Z-1415892c6633
@misc{dz_metro_thermal_demand_intel_metro_daily_t_1415892c,
title = {{Metro daily thermal-demand intelligence (NASA POWER)}},
author = {{NASA POWER}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/metro_thermal_demand_intel/metro_daily_thermal_demand?snapshot=20260929T105935Z-1415892c6633}},
note = {Snapshot 20260929T105935Z-1415892c6633, sha256 1415892c66332eb0b410a7c7b3760ccc84f49d0c5bfd942a0ded2ab18a6b29da; accessed 2026-09-30}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=metro_thermal_demand_intel%2Fmetro_daily_thermal_demand&lang=fr&theme=auto&snapshot=20260929T105935Z-1415892c6633&x=date&y=latitude&agg=avg" title="Metro daily thermal-demand intelligence (NASA POWER)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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