Metro 7-day weather-forecast demand panel, daily
Forward-looking weather features for 20 US/Canadian metros (15 US + 5 CA, ICAO join keys shared with metro_degree_days and metro_daylight_intel): today + 6 days x 20 metros = ~140 (forecast_date, metro) rows per daily snapshot. US rows from the NWS gridpoint 7-day forecast; CA rows from ECCC citypageweather-realtime. Per row: temp_max_c / temp_min_c, precip_prob_max (0-100), precip_type (rain/snow/mixed/none), wind_max_kmh, short summary, lead_days (0-6), flags (heat >= 35C, deep freeze <= -15C, heavy precip PoP >= 70, snow, high wind >= 60 km/h, severe = any), and demand_disruption_score (0-100 = min(100, round(30*heat_i + 30*cold_i + 25*precip_i + 15*wind_i)) with documented ramps). Units: degC, %, km/h, 0/1 flags, 0-100 score. Caveats: forecasts, not observations — a later same-day re-run can legitimately differ; wind is honest null when the provider reports none.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 141
- Colonnes
- 23
- Cadence de la source
- Quotidienne
- Dernière actualisation
- 30 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| metro | string | Metro name (matches metro_degree_days). |
| state_province | string | US state or Canadian province. |
| country_code | string | ISO alpha-3 country code: USA or CAN. |
| icao | string | ICAO airport code of the metro's primary international airport — the join key shared with metro_degree_days. |
| issued_date | date | UTC date the forecast snapshot was issued. (unit: date) |
| forecast_date | date | Local calendar date the forecast applies to (ISO date). (unit: date) |
| lead_days | integer | Days ahead of the issue date: 0 = today, 6 = six days out. |
| temp_max_c | float | Forecast daily maximum temperature (NWS F converted). (unit: degC) |
| temp_min_c | float | Forecast daily minimum temperature (NWS F converted). (unit: degC) |
| precip_prob_max | integer | Maximum precipitation probability across the day's periods (NWS period PoP; ECCC 'N percent chance' text). (unit: %) |
| precip_type | string | Dominant precipitation type: rain, snow, mixed (sleet/freezing), or none. |
| wind_max_kmh | float | Maximum forecast wind speed for the day in km/h (NWS mph converted; ECCC hourly already km/h). Honest null when the provider reports none. (unit: km/h) |
| summary | string | Short provider forecast summary for the day. |
| heat_flag | integer | 1 when temp_max_c >= 35. |
| deep_freeze_flag | integer | 1 when temp_min_c <= -15. |
| heavy_precip_flag | integer | 1 when precip_prob_max >= 70. |
| snow_flag | integer | 1 when precip_type is snow or mixed. |
| high_wind_flag | integer | 1 when wind_max_kmh >= 60. |
| severe_flag | integer | 1 when any disruption flag is set. |
| demand_disruption_score | integer | 0-100: min(100, round(30*heat_i + 30*cold_i + 25*precip_i + 15*wind_i)) with heat_i=clip((tmax-32)/13), cold_i=clip((-12-tmin)/18), precip_i=clip((pop-30)/70), wind_i=clip((wind-50)/50). Higher = more weather-driven demand disruption expected. |
| source | string | Upstream provider: 'nws' or 'eccc'. |
| source_url | string | Canonical upstream URL the row was built from. |
| row_hash | string | Deterministic row identifier: 16-hex sha256 of 'metro_wxfcst|<icao>|<issued>|<forecast_date>|<tmax>|<tmin>|<pop>|<wind>'. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| metro | state_province | country_code | icao | issued_date | forecast_date | lead_days | temp_max_c | temp_min_c | precip_prob_max | precip_type | wind_max_kmh | summary | heat_flag | deep_freeze_flag | heavy_precip_flag | snow_flag | high_wind_flag | severe_flag | demand_disruption_score | source | source_url | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Denver | Colorado | USA | KDEN | 2026-09-30 | 2026-09-29 | 0 | 12,2 | 12,2 | 36 | rain | 9,7 | Mostly Cloudy then Chance Rain Showers | 0 | 0 | 0 | 0 | 0 | 0 | 2 | nws | https://api.weather.gov/gridpoints/BOU/75,66/forecast | 284822c29c3fbd54 |
| Los Angeles | California | USA | KLAX | 2026-09-30 | 2026-09-29 | 0 | 17,2 | 17,2 | 0 | none | 24,1 | Partly Cloudy then Patchy Fog | 0 | 0 | 0 | 0 | 0 | 0 | 0 | nws | https://api.weather.gov/gridpoints/LOX/149,41/forecast | abfa7b6eb0150025 |
| Philadelphia | Pennsylvania | USA | KPHL | 2026-09-30 | 2026-09-29 | 0 | 16,1 | 16,1 | 0 | none | 8 | Mostly Cloudy then Patchy Fog | 0 | 0 | 0 | 0 | 0 | 0 | 0 | nws | https://api.weather.gov/gridpoints/PHI/48,75/forecast | ec0a584e430b3315 |
| Phoenix | Arizona | USA | KPHX | 2026-09-30 | 2026-09-29 | 0 | 20 | 20 | 13 | rain | 16,1 | Slight Chance Showers And Thunderstorms then Partly Cloudy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | nws | https://api.weather.gov/gridpoints/PSR/161,57/forecast | e9f05c1f5a651b0a |
| Seattle | Washington | USA | KSEA | 2026-09-30 | 2026-09-29 | 0 | 10,6 | 10,6 | 26 | rain | 8 | Chance Light Rain then Mostly Cloudy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | nws | https://api.weather.gov/gridpoints/SEW/124,60/forecast | 7d20b3f3ca1dd7b7 |
| San Francisco | California | USA | KSFO | 2026-09-30 | 2026-09-29 | 0 | 13,3 | 13,3 | 0 | none | 14,5 | Mostly Clear | 0 | 0 | 0 | 0 | 0 | 0 | 0 | nws | https://api.weather.gov/gridpoints/MTR/85,98/forecast | b83ae637da4bb2bd |
| Ottawa | Ontario | CAN | CYOW | 2026-09-30 | 2026-09-30 | 1 | 21 | 10 | 0 | none | 20 | Cloudy. Becoming a mix of sun and cloud in the morning. Fog patches dissipating in the morning. Wind becoming south 20 km/h in the morning. High 21. Humidex 25. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | eccc | https://api.weather.gc.ca/collections/citypageweather-realtime/items/on-118 | 6a40635d453d927a |
| Montreal | Quebec | CAN | CYUL | 2026-09-30 | 2026-09-30 | 1 | 21 | 10 | 0 | none | 15 | Increasing cloudiness in the morning. Fog patches dissipating in the morning. High 21. UV index 4 or moderate. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | eccc | https://api.weather.gc.ca/collections/citypageweather-realtime/items/qc-147 | bdfadd7e55aa599a |
| Vancouver | British Columbia | CAN | CYVR | 2026-09-30 | 2026-09-30 | 1 | 15 | 9 | 0 | none | 15 | Clearing. Fog patches dissipating in the morning. High 15 except 18 inland. UV index 3 or moderate. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | eccc | https://api.weather.gc.ca/collections/citypageweather-realtime/items/bc-74 | 0037f8adbb61f594 |
| Calgary | Alberta | CAN | CYYC | 2026-09-30 | 2026-09-30 | 1 | 13 | 1 | 0 | none | 20 | Clearing early in the morning. Wind becoming northwest 20 km/h near noon. High 13. UV index 3 or moderate. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | eccc | https://api.weather.gc.ca/collections/citypageweather-realtime/items/ab-52 | 7849ce554be69e55 |
- Actuelle
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139 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_weather_forecast_intel/metro_weather_forecast_daily" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/metro_weather_forecast_intel/metro_weather_forecast_daily").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_weather_forecast_intel/metro_weather_forecast_daily
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.
Citer cet instantané
Épinglé à l’instantané 20260930T065033Z-579b26ee3954 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
metro_weather_forecast_intel. (2026). Metro 7-day weather-forecast demand panel, daily [Data set, snapshot 20260930T065033Z-579b26ee3954, sha256 579b26ee3954]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/fr/datasets/metro_weather_forecast_intel/metro_weather_forecast_daily?snapshot=20260930T065033Z-579b26ee3954
@misc{dz_metro_weather_forecast_intel_metro_weath_579b26ee,
title = {{Metro 7-day weather-forecast demand panel, daily}},
author = {{metro\_weather\_forecast\_intel}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/metro_weather_forecast_intel/metro_weather_forecast_daily?snapshot=20260930T065033Z-579b26ee3954}},
note = {Snapshot 20260930T065033Z-579b26ee3954, sha256 579b26ee395467f113a526d3c9e9eebb5857d11af39f11d7dc0f56c2a9c72672; accessed 2026-09-30}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=metro_weather_forecast_intel%2Fmetro_weather_forecast_daily&lang=fr&theme=auto&snapshot=20260930T065033Z-579b26ee3954&x=issued_date&y=lead_days&agg=avg" title="Metro 7-day weather-forecast demand panel, daily" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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