A API de meteorologia para tudo o que você cria

Meteorologia global, marinha, previsão de chuva e qualidade do ar — precisos em qualquer lugar, dos melhores modelos meteorológicos do mundo.

Get your API key500 requests per day Documentação Preços

Try it now

// Current weather anywhere on Earth
const res = await fetch(
  'https://skiesatlas.com/api/v1/weather?lat=48.85&lon=2.35',
  { headers: { 'X-API-Key': 'YOUR_KEY' } }
);
const { temperature_c, wind_speed_kmh } = await res.json();
// { temperature_c: 24.1, wind_speed_kmh: 5.9, condition: "clear" }

REST endpoints

Weather models

Global

Land, sea & sky

<200ms

Median response

Smart model routing

Modelos locais de alta resolução (ICON-D2 2 km, HRRR 3 km) quando disponíveis, ECMWF IFS 9 km em todo o mundo. Automático e transparente.

Rain nowcast

Precipitação minuto a minuto para as próximas horas — a resposta «vai chover?» para as suas apps.

Marine & tides

Ondas, ondulação, estado do mar, temperatura da água, mais horários de maré fornecidos pela TidesAtlas.

Built for AI agents

Servidor MCP nativo — ligue meteorologia ao vivo ao Claude, Cursor e qualquer agente compatível com MCP.

Uma API para todas as necessidades meteorológicas

De apps de vela à previsão solar, a SkiesAtlas entrega os dados que os programadores realmente usam.

Marine & sailing

Ondas, ondulação, vento e marés para navegação, regatas e apps costeiras.

Agriculture

Chuva, condições do solo, alertas de geada e calor para agricultura inteligente.

Solar & energy

Radiação solar e nebulosidade para rendimento FV e previsão de rede.

Outdoor apps

Chuva iminente, índice UV e condições para corrida, ciclismo e viagens.

Aviation & drones

Vento, rajadas, visibilidade e base das nuvens para voo e drones.

Research

Saída direta de modelos (ECMWF, ICON, GFS) para ciência reproduzível.

New · Weather maps

The whole sky on one map

Temperature, wind, precipitation, clouds and pressure — rendered from our own ECMWF-AIFS & GFS models, animatable across the forecast, plus live radar. Standard slippy-map tiles you can drop onto Leaflet or Mapbox.

Open the interactive map →

🌡️ Temp 💨 Wind 🌧️ Rain ☁️ Cloud 🔵 Pressure 📡 Radar

Referência da API

Simple, predictable REST endpoints. Authenticate with an X-API-Key header — pass lat/lon or a port slug.

Weather Pack

GET/api/v1/weatherCurrent + hourly forecast

Temperature, wind (speed, direction & gusts), humidity, pressure, cloud cover, condition and UV index — plus derived dew point, humidex, heat index and wind chill. Routed to the best available model for your coordinates (ICON-D2, ICON-EU, HRRR or ECMWF IFS).

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required (or use `port`).
`days`	int	Forecast horizon, 1-7 (default: 3).
`hourly`	bool	Set to `1` to include the hourly series.
`units`	string	`metric` (default) or `imperial`. Works on all endpoints: °C→°F, km/h→mph, mm→in, m→ft (field suffixes change to `_f`/`_mph`/`_in`/`_ft`).

Example response

{
  "lat": 48.85, "lon": 2.35,
  "model": "ICON-EU (7km)",
  "current": {
    "temperature_c": 24.1, "humidity_pct": 34,
    "wind_speed_kmh": 5.9, "wind_direction_deg": 215, "wind_gust_kmh": 14.2,
    "pressure_hpa": 1017, "cloud_cover_pct": 12,
    "condition": "clear", "uv_index": 2.7
  }
}

GET/api/v1/forecastUp to 14-day forecast

Multi-day forecast up to 14 days — 3-hourly series (temperature, wind, precipitation, cloud, pressure, humidity) plus daily aggregates (min/max, precip total, max wind) with a per-day confidence (high ≤7d, medium ≤10d, low = trend for days 11-14). Multi-model: ECMWF-AIFS global backbone (world's best AI model), refined by ICON-EU 7km (Europe) & HRRR 3km (US) near-term; NOAA GFS fills the 3-hourly gaps and the 11-14 day tail — the best model for each location & lead time, from our own store.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.
`days`	int	1-14 (default: 7).
`units`	string	`metric` (default) or `imperial`.

Example response

{
  "models_used": ["ECMWF-AIFS", "ICON-EU", "GFS"], "run": "2026081600z", "days": 14,
  "daily": [
    { "date": "2026-08-16", "temp_min_c": 17.8, "temp_max_c": 27.1, "precip_sum_mm": 0, "wind_max_kmh": 19.4, "confidence": "high" }, ...
  ],
  "hourly": [
    { "time": "2026-08-13T00:00:00+00:00", "temperature_c": 18.2, "wind_speed_kmh": 12.1, "precipitation_mm": 0, ... }, ...
  ]
}

GET/api/v1/outlook16-day ensemble trend

Probabilistic 16-day outlook from the NOAA GEFS ensemble (31 members): daily temperature trend with an uncertainty band (temp_low/mean/temp_high), a per-day confidence level and precipitation. A trend, not a precise forecast.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.
`units`	string	`metric` (default) or `imperial`.

{ "model": "NOAA GEFS ensemble", "daily": [
    { "date": "2026-08-27", "temp_low_c": 16.6, "temp_mean_c": 19.5, "temp_high_c": 22.4, "uncertainty_c": 2.9, "confidence": "medium" }, ... ] }

GET/api/v1/severeStorm / convective

Convective / storm parameters: CAPE, CIN, 0-3 km helicity, visibility, cloud ceiling, plus model-derived storm risk, lightning probability and hail risk.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.

{
  "cape_jkg": 987, "cin_jkg": -57, "helicity_0_3km": 17,
  "visibility_m": 24135, "cloud_ceiling_m": 10775,
  "storm_risk": "moderate", "lightning_probability_pct": 35, "hail_risk": "low"
}

GET/api/v1/aviationMETAR + TAF, flight category

Live METAR observation and TAF forecast from the nearest airport, with computed flight category (VFR / MVFR / IFR / LIFR), a decoded observation and the raw METAR/TAF strings. Powered by aviationweather.gov (NOAA, public domain).

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.

{
  "station": "LFPG", "flight_category": "VFR",
  "metar": { "wind_kmh": 18, "visibility_m": 9999, "temperature_c": 21 },
  "raw_metar": "LFPG 131330Z 27010KT 9999 FEW040 21/12 Q1017", "raw_taf": "TAF LFPG 131100Z ..."
}

GET/api/v1/soundingVertical atmospheric profile

Model sounding on GFS pressure levels (1000 → 200 hPa): temperature, wind, humidity and geopotential height at each level, plus bulk wind shear and a low-level inversion flag. For aviation, gliding, ballooning and convective analysis.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.

{
  "levels": [ { "pressure_hpa": 850, "temperature_c": 14.2, "wind_speed_kmh": 31, "height_m": 1487 }, ... ],
  "bulk_wind_shear_kmh": 32.8, "low_level_inversion": false
}

GET/api/v1/solarSolar irradiance + PV yield

Downward solar radiation (GHI, W/m²) hour by hour, plus an estimated PV yield per kWp and daily energy total — for solar / photovoltaic production forecasting. From NOAA GFS.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.

{
  "hourly": [ { "time": "2026-08-13T12:00", "solar_radiation_wm2": 582, "pv_estimate_kwh_per_kwp": 0.466 }, ... ],
  "daily": [ { "date": "2026-08-13", "pv_energy_kwh_per_kwp": 5.57 }, ... ]
}

GET/api/v1/agricultureSoil & agronomy

Soil temperature & moisture at three depths (0-10, 10-40, 40-100 cm) from the GFS land model, plus ground-frost risk, growing degree-days (base 10) and a crop-spraying window for the next 48 h. For agriculture, irrigation and vineyard apps.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.

{
  "soil": { "0_10cm": { "soil_temperature_c": 19.5, "soil_moisture_m3m3": 0.07 }, ... },
  "ground_frost_risk": false, "growing_degree_days": [ { "date": "2026-08-13", "gdd_base10": 20.6 } ],
  "spraying_window_next48h_pct": 88
}

GET/api/v1/probabilitiesAI ensemble probabilitiesPRO

Probabilistic forecast from the ECMWF AIFS-ENS 50-member AI ensemble: temperature percentiles (p10 / median / p90) with an uncertainty band, and precipitation probabilities (chance of >0.1 / >1 / >5 mm) per lead time. Sell confidence, not just a single number.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.
`days`	int	1–7 (12-hourly steps).

{ "model": "ECMWF AIFS-ENS (50-member AI ensemble)", "steps": [ {
    "lead_h": 42, "temp_p10_c": 23.0, "temp_median_c": 24.2, "temp_p90_c": 25.4,
    "temp_uncertainty_c": 2.4, "precip_probability_pct": 30 } ] }

GET/api/v1/accuracyVerified accuracy scoresPRO

Our verified forecast accuracy, published: MAE, RMSE and bias for each model (ECMWF-AIFS, GFS, ICON-EU and the blend) at each lead time, scored continuously against real METAR observations at dozens of global stations. Transparency most weather APIs won't give you.

Param	Type	Description
`param`	string	`temperature` (default), `wind`, `pressure`.
`region`	string	`global` (default) or a region (`europe`, `asia`…).

{ "param": "temperature", "stations": 38,
  "models": { "ECMWF-AIFS": { "leads": { "24": { "mae": 1.4, "rmse": 1.9, "bias": -0.1 } } }, … } }

GET/api/v1/map/{layer}/{z}/{x}/{y}.pngWeather map tilesPRO

Slippy-map raster tiles rendered from our own models (ECMWF-AIFS & GFS) — drop them straight onto Leaflet, Mapbox GL or MapLibre. Five layers, animatable across the forecast with ?step= (hours ahead). This is the "see everything" map. Open the live interactive map →

Param	Type	Description
`layer`	path	`temperature`, `wind`, `precipitation`, `clouds`, `pressure`.
`z`/`x`/`y`	path	Standard slippy-map tile coordinates.
`step`	query	Forecast hours ahead (0 = now, up to 240).
`api_key`	query	Your key (tiles don't consume request credits).

// Leaflet
L.tileLayer("https://skiesatlas.com/api/v1/map/temperature/{z}/{x}/{y}.png?api_key=KEY&step=0").addTo(map);

GET/api/v1/lightningReal-time lightningLIVE

Real-time lightning strikes near a location from the NOAA GOES-19/18 Geostationary Lightning Mapper (updated every ~2 minutes): strike count in radius, activity level, the nearest strike (distance & minutes-ago), a storm_overhead flag and the recent strike list. Public-domain data. Coverage: the Americas, Atlantic & Pacific (GOES field of view).

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.
`radius`	float	Search radius in km (default 50, max 500).
`window`	int	Look-back window in minutes (default 15, max 20).

{ "strike_count": 239, "activity": "extreme", "storm_overhead": true,
  "nearest_strike": { "distance_km": 3.4, "minutes_ago": 2.7 }, "data_age_minutes": 2 }

GET/api/v1/nowcastMinute precipitation nowcast

Hyperlocal 0–60 minute rain nowcast: live radar intensity right now at the point, plus rain approaching from upwind with a minutes-to-arrival ETA — radar truth advected by the model wind field. The "will it rain in the next 20 minutes?" answer.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.

{ "raining_now": false, "intensity_now": "none",
  "approaching": true, "minutes_to_rain": 18, "approaching_intensity": "moderate",
  "summary": "Moderate rain approaching, starting in about 18 min" }

GET/api/v1/summaryDaily summary + weather codes

A human-readable daily summary plus a standardised WMO-like weather code and icon name for each day — everything a consumer app UI needs to render a forecast card without post-processing.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.
`days`	int	1–15 (default 5).

{ "today": "Clear sky, 22–38°C", "days": [ {
    "date": "2026-08-16", "weather_code": 61, "condition": "Light rain",
    "icon": "rain", "summary": "Light rain, 20–29°C, 1 mm precipitation" } ] }

GET/api/v1/space-weatherSpace weather & aurora

The whole sky, literally: planetary Kp index (now + 3-day forecast), geomagnetic storm level (G1–G5) and active NOAA alerts, plus — with lat/lon — the aurora visibility probability at that location from the OVATION model. From NOAA SWPC (public domain).

Param	Type	Description
`lat` / `lon`	float	Optional. Returns aurora probability at this point.

{ "kp_index": { "value": 1.33, "storm_level": "quiet" }, "max_forecast_kp": 4.0,
  "aurora": { "probability_pct": 1, "visibility": "unlikely" } }

GET/api/v1/cyclonesActive tropical cyclones

Live tropical cyclones from the NOAA National Hurricane Center: name, category (Saffir-Simpson), position, maximum sustained wind, central pressure and movement, plus links to the official forecast track & cone. Pass optional lat/lon to sort by distance and get the nearest storm. Atlantic & Eastern Pacific basins.

Param	Type	Description
`lat` / `lon`	float	Optional. Sorts storms by distance from this point.

{ "count": 3, "active_storms": [ {
    "name": "Cristobal", "category": "Category 1", "max_sustained_wind_kmh": 120,
    "pressure_hpa": 982, "position": { "lat": 25.4, "lon": -71.2 },
    "movement": { "direction_deg": 315, "speed_kmh": 22 } } ] }

POST/api/v1/batchMulti-point (bulk) weather

Current weather for many locations in a single call (up to 50). Ideal for fleets, store networks, sensor grids and dashboards — one round-trip instead of 50. Each result carries your optional id and a cached flag.

Field (JSON body)	Type	Description
`points`	array	`[{lat, lon, id?}, …]` — 1 to 50 locations. Required.

// POST body
{ "points": [ { "lat": 48.85, "lon": 2.35, "id": "paris" },
             { "lat": 43.7, "lon": 7.26, "id": "nice" } ] }
// → { "count": 2, "results": [ { "id": "paris", "weather": { "temperature_c": 32.6 } }, … ] }

POST/api/v1/routeRoute weather (along a trip)

Weather along a journey: POST a list of waypoints with a speed (or explicit ETAs) and get the forecast valid at each point's estimated time of arrival, plus a trip summary (max gust, worst-gust location, total precipitation, distance). For logistics, road-trips, sailing and delivery routing.

Field (JSON body)	Type	Description
`waypoints`	array	`[[lat,lon], …]` in order (2–100 points).
`speed_kmh`	float	Travel speed to compute ETAs (default 60).
`start_time`	string	ISO departure time (default now).
`points`	array	Alternative: `[{lat,lon,eta}]` with explicit ETAs.

// POST body → weather at each ETA
{ "waypoints": [[48.39,-4.49],[47.22,-1.55],[46.16,-1.15]], "speed_kmh": 60 }
// → { "distance_km": 376.9, "summary": { "max_wind_gust_kmh": 30.4 }, "legs": [ … ] }

POST/api/v1/alertsWeather alerts platform

Create weather alert rules that we evaluate every hour against the forecast horizon and deliver to webhook, Slack, Microsoft Teams, email or mobile push when the condition is met. Manage with GET /api/v1/alerts (list) and DELETE /api/v1/alerts?id=…. Configurable cooldown_hours prevents alert storms.

Field (JSON body)	Type	Description
`name`	string	Alert label. Required.
`lat` / `lon`	float	Location. Required.
`metric`	string	`temperature_c`, `wind_speed_kmh`, `wind_gust_kmh`, `precipitation_mm`, `fire_danger`, `ice_risk`…
`operator`	string	`gt`, `lt`, `gte`, `lte`, `eq`.
`threshold`	string	Numeric value, or a label (`high`, `extreme`…) for categorical metrics.
`horizon_hours`	int	How far ahead to watch (1–240, default 24).
`channel`	string	`webhook`, `slack`, `teams`, `email`, `push`.
`target`	string	Webhook/Slack/Teams URL, email address, or Expo push token.

// POST body
{ "name": "Storm wind Brest", "lat": 48.4, "lon": -4.5,
  "metric": "wind_gust_kmh", "operator": "gt", "threshold": "90",
  "horizon_hours": 48, "channel": "slack", "target": "https://hooks.slack.com/…" }

GET/api/v1/indicesBusiness / sector indices

Ready-to-use sector indices derived from the forecast: energy heating & cooling degree-days (base 18°C), wind-power capacity factor from an 80 m generic turbine curve, Hot-Dry-Windy fire danger, and road ice risk. For utilities, renewables, insurance and highway operations.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.

{
  "energy_degree_days": [ { "date": "2026-08-13", "hdd_c": 0, "cdd_c": 9.1 } ],
  "wind_power": [ { "date": "2026-08-13", "capacity_factor_pct": 4 } ],
  "fire_weather": [ { "date": "2026-08-13", "fire_danger": "extreme" } ],
  "road_risk": [ { "date": "2026-08-13", "ice_risk": "none" } ]
}

GET/api/v1/conditionsEverything at once

A single call that merges weather, marine, precipitation and air quality for a location — perfect for dashboards.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.

{
  "weather": { "temperature_c": 18.4, ... },
  "marine": { "wave_height_m": 0.4, ... },
  "rain": { "will_rain": false },
  "air_quality": { "air_quality_index": 2 }
}

GET/api/v1/astronomySun & moon data

Sunrise, sunset, dawn, dusk and day length, plus moon phase, illumination, moon age, moonrise and moonset. Computed in-house from astronomical algorithms — no external calls, instant.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.
`date`	YYYY-MM-DD	Start date, UTC (default: today).
`days`	int	1-7 (default: 1).

Example response

{
  "lat": 48.39, "lon": -4.49, "timezone": "UTC", "days": 1,
  "data": [ {
    "date": "2026-03-27",
    "sun": { "sunrise": "06:06", "sunset": "18:41", "dawn": "05:35", "dusk": "19:12", "day_length": "12:35" },
    "moon": { "phase": "first_quarter", "illumination_pct": 66.8, "age_days": 9, "moonrise": "13:45", "moonset": "03:12" }
  } ]
}

Historical

GET/api/v1/historyPast weather (reanalysis)

Daily historical weather — temperature (min/max), precipitation and wind — for any past date back to 1940. Powered by the ERA5 reanalysis (ECMWF), the reference dataset for past weather.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.
`date`	YYYY-MM-DD	Past start date. Required.
`days`	int	1-31 (default: 7).

Source: ERA5 reanalysis (ECMWF / Copernicus Climate Change Service) — ingested directly from the public ERA5 archive, not a third-party proxy. Available up to ~7 days before today.

Example response

{
  "lat": 48.39, "lon": -4.49, "start": "2025-06-01", "end": "2025-06-07", "days": 7,
  "source": "ERA5 reanalysis — ECMWF / Copernicus C3S",
  "daily": [
    { "date": "2025-06-01", "temp_max_c": 17.2, "temp_min_c": 11.4, "precip_mm": 1.3, "wind_max_kmh": 24.1, "wind_gust_kmh": 41.0 },
    ...
  ]
}

Marine Pack

GET/api/v1/marineWaves, swell & sea temperature

Wave height, swell, wind-wave, sea state and sea-surface temperature from NOAA WaveWatch III and MUR SST.

Param	Type	Description
`lat` / `lon`	float	Ocean coordinates. Required.
`days`	int	1-7 (default: 3).

{
  "wave_height_m": 0.4, "swell_height_m": 0.05,
  "sea_state": "calm_rippled", "sst_c": 21.3
}

Precipitation & Winter

GET/api/v1/rainPrecipitation nowcast

Hour-by-hour precipitation for the coming hours, with a simple will_rain flag.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.
`hours`	int	Horizon in hours, 1-12 (default: 6).

Example response

[
  { "until": "12:00", "precip_mm": 2.1, "will_rain": true },
  { "until": "13:00", "precip_mm": 0.0, "will_rain": false }
]

GET/api/v1/snowSnowfall, depth & freezing

Snowfall, snow depth, freezing level, thunderstorm potential and solar radiation — for mountain and winter apps.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.
`days`	int	1-7 (default: 3).

Example response

{
  "snowfall_mm": 3.1, "snow_depth_cm": 180,
  "freezing": true, "solar_radiation_wm2": 210
}

GET/api/v1/radarLive rain radar + satellite

Live precipitation radar + IR satellite tile URLs — past frames and nowcast (future) frames for animated maps. Standard {z}/{x}/{y} slippy tiles (Leaflet, Mapbox GL…). Powered by RainViewer.

Param	Type	Description
`lat` / `lon`	float	Coordinates (map centre). Required.

{ "radar": {
    "past": [ { "time": "2026-08-13T14:30:00Z", "tile_url": "https://tilecache.rainviewer.com/.../{z}/{x}/{y}/1/1_1.png" }, ... ],
    "nowcast": [ ... ] },
  "satellite": { "infrared": [ ... ] } }

Air & Environment

GET/api/v1/air-qualityPM2.5, ozone, NO2 & AQI

Particulate matter, ozone, NO₂, SO₂ and a computed air-quality index, from Copernicus CAMS.

Param	Type	Description
`lat` / `lon`	float	Coordinates. Required.

Example response

{
  "pm2p5": 5.3, "pm10": 9.9,
  "o3": 73, "no2": 12,
  "air_quality_index": 2
}

GET/api/v1/pollenPollen forecast (Europe)

European pollen forecast (CAMS) for 6 species — alder, birch, grass, mugwort, olive, ragweed — with concentration (grains/m³) and a risk level per species + overall. Europe only.

{ "pollen": { "grass": { "grains_m3": 5, "label": "Faible" }, "mugwort": { "grains_m3": 14.4, "label": "Modéré" }, ... },
  "overall_label": "Modéré", "dominant": "mugwort" }

GET/api/v1/aerosolsDust, smoke & AOD

Worldwide Saharan dust, wildfire smoke and total aerosol optical depth (CAMS global) — optical depth values + a risk level for dust and smoke.

{ "aerosol_optical_depth": 0.266,
  "dust_aod": 0.042, "dust_label": "Négligeable",
  "smoke_aod": 0.03, "smoke_label": "Négligeable" }

Tides Pack

GET/api/v1/tidesTide times & heights

High/low tide times and heights for 17,000+ ports, powered by TidesAtlas. Pass a port slug or coordinates.

Param	Type	Description
`port`	string	Port slug, e.g. `san-francisco`.
`days`	int	1-14 (default: 1).

{
  "extremes": [
    { "datetime": "2026-03-27T05:12:00-07:00", "height_m": 1.82, "type": "high" },
    { "datetime": "2026-03-27T11:44:00-07:00", "height_m": 0.31, "type": "low" }
  ]
}

Experimente ao vivo

Cole a sua chave API, escolha um endpoint e clique em Enviar — respostas reais, aqui mesmo.

// The JSON response will appear here

No key yet? Get one free — 500 requests/day, no card.

Início rápido na sua linguagem

Grab an API key, then call the API with cURL, JavaScript, Python — or plug it straight into an AI agent via MCP.

cURL

JavaScript

Python

MCP (AI agents)

# Current weather in Paris
curl -H "X-API-Key: YOUR_KEY" \
  "https://skiesatlas.com/api/v1/weather?lat=48.85&lon=2.35"

const res = await fetch('https://skiesatlas.com/api/v1/weather?lat=48.85&lon=2.35', {
  headers: { 'X-API-Key': 'YOUR_KEY' }
});
const data = await res.json();

import requests
r = requests.get(
  "https://skiesatlas.com/api/v1/weather",
  params={"lat": 48.85, "lon": 2.35},
  headers={"X-API-Key": "YOUR_KEY"})
print(r.json())

Add SkiesAtlas to Claude Desktop, Cursor or any MCP client — your agent gets live weather tools:

{
  "mcpServers": {
    "skiesatlas": {
      "url": "https://skiesatlas.com/mcp",
      "headers": { "X-API-Key": "YOUR_KEY" }
    }
  }
}

Um verdadeiro motor de previsão, não um proxy

A SkiesAtlas não se limita a reencaminhar dados de terceiros. Ingerimos a saída bruta dos modelos numéricos, descodificamo-la, escolhemos o melhor modelo para cada coordenada e unificamo-la numa API limpa e coerente, entregue em menos de 200 ms.

1 · Ingestão

Extraímos a saída GRIB bruta diretamente dos principais centros meteorológicos do mundo, em cada execução do modelo.

2 · Encaminhamento

Para cada coordenada selecionamos o modelo de maior resolução disponível: ICON-D2 2 km, HRRR 3 km ou ECMWF 9 km em todo o mundo. Automático e transparente.

3 · Unificação

Seis formatos de modelo diferentes tornam-se um único esquema JSON previsível: os mesmos nomes de campo em todo o lado, unidades métricas e datas ISO.

4 · Entrega

Uma cache agressiva por execução entrega respostas em menos de 200 ms, com recurso automático aos últimos dados para que a tua app nunca fique sem serviço.

Fontes de dados e licenças

Nos bastidores, descodificamos e combinamos estes modelos meteorológicos e oceânicos oficiais, de licença aberta, numa única API.

ECMWF AIFS & IFS

The world's best global model — AIFS (ECMWF's AI system) is our worldwide backbone.

CC-BY 4.0

DWD ICON

ICON-D2 (2 km) & ICON-EU (7 km) high-resolution Europe.

DWD Open Data · GeoNutzV

NOAA GFS, GEFS & HRRR

Global GFS + GEFS ensemble + 3 km HRRR rapid refresh over the US.

Public domain (US Gov)

ECMWF AIFS-ENS

50-member AI ensemble for the /probabilities endpoint.

CC-BY 4.0

NOAA GOES GLM

Geostationary Lightning Mapper — real-time lightning (/lightning).

Public domain

NOAA WaveWatch III

Global wave & swell model for the marine endpoint.

Public domain

Copernicus CAMS

Global air quality, pollen & aerosols (dust, smoke).

Copernicus / ADS

NOAA MUR SST

1 km sea-surface temperature analysis.

Public domain

ECMWF ERA5

Reanalysis powering the /history endpoint (past weather).

Copernicus C3S · CC-BY

NOAA NHC & SWPC

Tropical cyclones (/cyclones) + space weather & aurora (/space-weather).

Public domain

aviationweather.gov

METAR/TAF (/aviation) & the observations that verify our accuracy.

NOAA · Public domain

RainViewer

Live precipitation radar & satellite tiles (/radar).

Commercial use w/ attribution

TidesAtlas →

Tide times & heights for 17,000+ ports (the /tides endpoint).

tidesatlas.com

SkiesAtlas builds the ingestion, routing, unification and caching layer on top of these open datasets. Attribution to upstream providers is handled on our side.

Precisão em que pode confiar

Baseamo-nos na melhor ciência disponível e verificamo-nos constantemente.

Modelos de referência

O ECMWF IFS é sistematicamente considerado o modelo global mais preciso do mundo. Usamo-lo como base mundial e sobrepomos-lhe modelos regionais de alta resolução.

Validado continuamente

A cada poucas horas comparamos os nossos resultados com previsões de referência independentes em mais de 20 cidades do mundo para detetar qualquer desvio atempadamente.

Atualizado o dia todo

Os modelos são atualizados até quatro vezes por dia (00/06/12/18 UTC). O nosso motor volta a ingerir cada execução automaticamente, para que tenha sempre a previsão mais recente.

Live forecast accuracy

● verified continuously

Mean absolute temperature error (°C) vs real METAR observations at 1130 global stations — lower is better. Our backbone ECMWF-AIFS and the multi-model BLEND lead the field.

Model	analysis	+24h	+48h	+72h	+120h
ICON-EU	1.02	1.15	1.25	1.37	1.57
ECMWF-AIFS backbone	1.25	1.35	1.41	1.48	1.55
BLEND	1.32	1.46	1.55	1.63	1.77
GFS	1.79	1.87	1.96	2.06	2.19

Full scores (all parameters, lead times & regions) via GET /api/v1/accuracy. Longer lead-time skill fills in as forecast/observation pairs accumulate.

Autenticação & Limites de pedidos

Autenticação

Passe a sua chave API no header X-API-Key (recomendado) ou como parâmetro api_key.

# Header (recommended)
curl -H "X-API-Key: YOUR_KEY" "https://skiesatlas.com/api/v1/weather?lat=48.85&lon=2.35"

# Query parameter
curl "https://skiesatlas.com/api/v1/weather?lat=48.85&lon=2.35&api_key=YOUR_KEY"

Limites de pedidos

Cada resposta indica o seu uso nos cabeçalhos. Exceder a quota devolve 429 Too Many Requests — aguarde antes de tentar novamente.

Header	Description
`X-RateLimit-Limit`	Your daily request limit (paid plans).
`X-RateLimit-Remaining`	Requests left today.

Plan	Quota	HTTP on exceed
Free	500 requests / day	`429`
Basic	10,000 requests / day	`429`
Starter	50,000 requests / day	`429`
Pro	200,000 requests / day	`429`
Business	1,000,000 requests / day	`429`

Quotas reset every day at 00:00 UTC, on the free plan too. A 402 is different: it means the endpoint itself requires a higher plan (/nowcast needs Starter or above; /batch, /history, /radar, /lightning, /probabilities, /alerts and /route need Pro or above).

Preços

Start free, upgrade when you scale. No credit card to get your key.

Free

$0/mo

500 requests per day

✓Core weather & forecast API
✓ECMWF-AIFS multi-model blend
✓Verified accuracy endpoint

Get started

Basic

$7.99/mo

10,000 requests / day

✓All core endpoints
✓Current + 14-day forecast
✓Marine, air quality, tides & more
✓ECMWF-AIFS · verified accuracy

Choose Basic

Starter

$19/mo

50,000 requests / day

✓Everything in Basic, plus:
✓Weather map tiles (5 layers)
✓Minute rain nowcast
✓Batch multi-point endpoint

Choose Starter

Perguntas frequentes

De onde vêm os dados meteorológicos?

Executamos o nosso próprio motor sobre os melhores modelos abertos do mundo — ECMWF IFS, DWD ICON, NOAA GFS/HRRR, WaveWatch III, Copernicus CAMS e MUR SST. Descodificamos a saída bruta, encaminhamos cada pedido para o modelo de maior resolução dessa localização e devolvemos uma única resposta limpa e coerente. Recebe um produto real, não seis fluxos em bruto para juntar por conta própria.

Qual é a precisão das previsões?

Usamos o ECMWF IFS — amplamente considerado o modelo global mais preciso do mundo — como base, além de modelos regionais de alta resolução (2–3 km) onde disponíveis. Validamos continuamente face a referências independentes, com uma diferença típica de cerca de 0,6 °C na temperatura.

Quais são os limites de pedidos?

Cada plano tem uma quota diaria reiniciada as 00:00 UTC — incluindo o plano gratuito: 500 pedidos por dia, renovados todos os dias. Planos pagos: Basic 10 000/dia, Starter 50 000/dia, Pro 200 000/dia, Business 1 000 000/dia. Cada resposta indica a quota restante no cabecalho X-RateLimit-Remaining.

Posso cancelar a qualquer momento?

Sim. As subscrições são mensais e pode cancelar a qualquer momento — o seu plano permanece ativo até ao fim do período pago e depois volta automaticamente ao gratuito.

Posso usá-la com agentes de IA?

Claro. A SkiesAtlas disponibiliza um servidor MCP nativo em https://skiesatlas.com/mcp — adicione-o ao Claude Desktop, Cursor ou a qualquer cliente MCP e o seu agente ganha ferramentas meteorológicas ao vivo.

Fornecem marés?

Sim, através do endpoint /api/v1/tides, com tecnologia TidesAtlas — horários e alturas de maré para mais de 17 000 portos em todo o mundo.

Lance funcionalidades meteorológicas hoje mesmo

Obtenha a sua chave API em segundos e faça a primeira chamada numa linha de código.

Get your API key

A API de meteorologia para tudo o que você cria

Smart model routing

Rain nowcast

Marine & tides

Built for AI agents

Uma API para todas as necessidades meteorológicas

Marine & sailing

Agriculture

Solar & energy

Outdoor apps

Aviation & drones

Research

The whole sky on one map

Referência da API

Example response

Example response

Example response

Example response

Example response

Example response

Example response

Experimente ao vivo

Início rápido na sua linguagem

Um verdadeiro motor de previsão, não um proxy

1 · Ingestão

2 · Encaminhamento

3 · Unificação

4 · Entrega

Fontes de dados e licenças

ECMWF AIFS & IFS

DWD ICON

NOAA GFS, GEFS & HRRR

ECMWF AIFS-ENS

NOAA GOES GLM

NOAA WaveWatch III

Copernicus CAMS

NOAA MUR SST

ECMWF ERA5

NOAA NHC & SWPC

aviationweather.gov

RainViewer

TidesAtlas →

Precisão em que pode confiar

Modelos de referência

Validado continuamente

Atualizado o dia todo

Live forecast accuracy

Autenticação & Limites de pedidos

Autenticação

Limites de pedidos

Preços

Perguntas frequentes

Lance funcionalidades meteorológicas hoje mesmo

Create your API account