API Response
Data Source
Open-Meteo weather forecast APIs use weather models from multiple national weather providers. For each location worldwide, the best models will be combined to provide the best possible forecast.
Weather models cover different geographic areas at different resolutions and provide different weather variables. Depending on the model, data have been interpolated to hourly values or not all weather variables are available. With the drop down Weather models (just below the hourly variables), you can select and compare individual weather models.
| Weather Model | National Weather Provider | Origin Country | Resolution | Forecast Length | Update frequency |
|---|---|---|---|---|---|
| ICON | Deutscher Wetterdienst (DWD) | Germany | 2 - 11 km | 7.5 days | Every 3 hours |
| GFS & HRRR | NOAA | United States | 3 - 25 km | 16 days | Every hour |
| ARPEGE & AROME | Météo-France | France | 1 - 25 km | 4 days | Every hour |
| IFS & AIFS | ECMWF | European Union | 25 km | 15 days | Every 6 hours |
| UKMO | UK Met Office | United Kingdom | 2 - 10 km | 7 days | Every hour |
| MSM & GSM | JMA | Japan | 5 - 55 km | 11 days | Every 3 hours |
| MET Nordic | MET Norway | Norway | 1 km | 2.5 days | Every hour |
| HARMONIE | KNMI | Netherlands | 2 km | 2.5 days | Every hour |
| HARMONIE | DMI | Denmark | 2 km | 2.5 days | Every 3 hours |
| GEM | Canadian Weather Service | Canada | 2.5 km | 10 days | Every 6 hours |
| GFS GRAPES | China Meteorological Administration (CMA) | China | 15 km | 10 days | Every 6 hours |
| ACCESS-G | Australian Bureau of Meteorology (BOM) | Australia | 15 km | 10 days | Every 6 hours |
| COSMO 2I & 5M | AM ARPAE ARPAP | Italy | 2 km | 3 days | Every 3 hours |
API Documentation
The API endpoint /v1/forecast accepts a geographical coordinate, a list of weather variables and responds with a JSON hourly weather forecast for 7 days. Time always starts at 0:00 today and contains 168 hours. If &forecast_days=16 is set, up to 16 days of forecast can be returned. All URL parameters are listed below:
| Parameter | Format | Required | Default | Description |
|---|---|---|---|---|
| latitude, longitude | Floating point | Yes | Geographical WGS84 coordinates of the location. Multiple coordinates can be comma separated. E.g. &latitude=52.52,48.85&longitude=13.41,2.35. To return data for multiple locations the JSON output changes to a list of structures. CSV and XLSX formats add a column location_id. | |
| elevation | Floating point | No | The elevation used for statistical downscaling. Per default, a 90 meter digital elevation model is used. You can manually set the elevation to correctly match mountain peaks. If &elevation=nan is specified, downscaling will be disabled and the API uses the average grid-cell height. For multiple locations, elevation can also be comma separated. | |
| hourly | String array | No | A list of weather variables which should be returned. Values can be comma separated, or multiple &hourly= parameter in the URL can be used. | |
| daily | String array | No | A list of daily weather variable aggregations which should be returned. Values can be comma separated, or multiple &daily= parameter in the URL can be used. If daily weather variables are specified, parameter timezone is required. | |
| current | String array | No | A list of weather variables to get current conditions. | |
| temperature_unit | String | No | celsius | If fahrenheit is set, all temperature values are converted to Fahrenheit. |
| wind_speed_unit | String | No | kmh | Other wind speed speed units: ms, mph and kn |
| precipitation_unit | String | No | mm | Other precipitation amount units: inch |
| timeformat | String | No | iso8601 | If format unixtime is selected, all time values are returned in UNIX epoch time in seconds. Please note that all timestamp are in GMT+0! For daily values with unix timestamps, please apply utc_offset_seconds again to get the correct date. |
| timezone | String | No | GMT | If timezone is set, all timestamps are returned as local-time and data is returned starting at 00:00 local-time. Any time zone name from the time zone database is supported. If auto is set as a time zone, the coordinates will be automatically resolved to the local time zone. For multiple coordinates, a comma separated list of timezones can be specified. |
| past_days | Integer (0-92) | No | 0 | If past_days is set, yesterday or the day before yesterday data are also returned. |
| forecast_days | Integer (0-16) | No | 7 | Per default, only 7 days are returned. Up to 16 days of forecast are possible. |
| forecast_hours forecast_minutely_15 past_hours past_minutely_15 | Integer (>0) | No | Similar to forecast_days, the number of timesteps of hourly and 15-minutely data can controlled. Instead of using the current day as a reference, the current hour or the current 15-minute time-step is used. | |
| start_date end_date | String (yyyy-mm-dd) | No | The time interval to get weather data. A day must be specified as an ISO8601 date (e.g. 2022-06-30). | |
| start_hour end_hour start_minutely_15 end_minutely_15 | String (yyyy-mm-ddThh:mm) | No | The time interval to get weather data for hourly or 15 minutely data. Time must be specified as an ISO8601 date (e.g. 2022-06-30T12:00). | |
| models | String array | No | auto | Manually select one or more weather models. Per default, the best suitable weather models will be combined. |
| cell_selection | String | No | land | Set a preference how grid-cells are selected. The default land finds a suitable grid-cell on land with similar elevation to the requested coordinates using a 90-meter digital elevation model. sea prefers grid-cells on sea. nearest selects the nearest possible grid-cell. |
| apikey | String | No | Only required to commercial use to access reserved API resources for customers. The server URL requires the prefix customer-. See pricing for more information. |
Additional optional URL parameters will be added. For API stability, no required parameters will be added in the future!
Hourly Parameter Definition
The parameter &hourly= accepts the following values. Most weather variables are given as an instantaneous value for the indicated hour. Some variables like precipitation are calculated from the preceding hour as an average or sum.
| Variable | Valid time | Unit | Description |
|---|---|---|---|
| temperature_2m | Instant | °C (°F) | Air temperature at 2 meters above ground |
| relative_humidity_2m | Instant | % | Relative humidity at 2 meters above ground |
| dew_point_2m | Instant | °C (°F) | Dew point temperature at 2 meters above ground |
| apparent_temperature | Instant | °C (°F) | Apparent temperature is the perceived feels-like temperature combining wind chill factor, relative humidity and solar radiation |
| pressure_msl surface_pressure | Instant | hPa | Atmospheric air pressure reduced to mean sea level (msl) or pressure at surface. Typically pressure on mean sea level is used in meteorology. Surface pressure gets lower with increasing elevation. |
| cloud_cover | Instant | % | Total cloud cover as an area fraction |
| cloud_cover_low | Instant | % | Low level clouds and fog up to 3 km altitude |
| cloud_cover_mid | Instant | % | Mid level clouds from 3 to 8 km altitude |
| cloud_cover_high | Instant | % | High level clouds from 8 km altitude |
| wind_speed_10m wind_speed_80m wind_speed_120m wind_speed_180m | Instant | km/h (mph, m/s, knots) | Wind speed at 10, 80, 120 or 180 meters above ground. Wind speed on 10 meters is the standard level. |
| wind_direction_10m wind_direction_80m wind_direction_120m wind_direction_180m | Instant | ° | Wind direction at 10, 80, 120 or 180 meters above ground |
| wind_gusts_10m | Preceding hour max | km/h (mph, m/s, knots) | Gusts at 10 meters above ground as a maximum of the preceding hour |
| shortwave_radiation | Preceding hour mean | W/m² | Shortwave solar radiation as average of the preceding hour. This is equal to the total global horizontal irradiation |
| direct_radiation direct_normal_irradiance | Preceding hour mean | W/m² | Direct solar radiation as average of the preceding hour on the horizontal plane and the normal plane (perpendicular to the sun) |
| diffuse_radiation | Preceding hour mean | W/m² | Diffuse solar radiation as average of the preceding hour |
| global_tilted_irradiance | Preceding hour mean | W/m² | Total radiation received on a tilted pane as average of the preceding hour. The calculation is assuming a fixed albedo of 20% and in isotropic sky. Please specify tilt and azimuth parameter. Tilt ranges from 0° to 90° and is typically around 45°. Azimuth should be close to 0° (0° south, -90° east, 90° west). If azimuth is set to "nan", the calculation assumes a horizontal tracker. If tilt is set to "nan", it is assumed that the panel has a vertical tracker. If both are set to "nan", a bi-axial tracker is assumed. |
| vapour_pressure_deficit | Instant | kPa | Vapour Pressure Deficit (VPD) in kilopascal (kPa). For high VPD (>1.6), water transpiration of plants increases. For low VPD (<0.4), transpiration decreases |
| cape | Instant | J/kg | Convective available potential energy. See Wikipedia. |
| evapotranspiration | Preceding hour sum | mm (inch) | Evapotranspration from land surface and plants that weather models assumes for this location. Available soil water is considered. 1 mm evapotranspiration per hour equals 1 liter of water per spare meter. |
| et0_fao_evapotranspiration | Preceding hour sum | mm (inch) | ETâ‚€ Reference Evapotranspiration of a well watered grass field. Based on FAO-56 Penman-Monteith equations ETâ‚€ is calculated from temperature, wind speed, humidity and solar radiation. Unlimited soil water is assumed. ETâ‚€ is commonly used to estimate the required irrigation for plants. |
| precipitation | Preceding hour sum | mm (inch) | Total precipitation (rain, showers, snow) sum of the preceding hour |
| snowfall | Preceding hour sum | cm (inch) | Snowfall amount of the preceding hour in centimeters. For the water equivalent in millimeter, divide by 7. E.g. 7 cm snow = 10 mm precipitation water equivalent |
| precipitation_probability | Preceding hour probability | % | Probability of precipitation with more than 0.1 mm of the preceding hour. Probability is based on ensemble weather models with 0.25° (~27 km) resolution. 30 different simulations are computed to better represent future weather conditions. |
| rain | Preceding hour sum | mm (inch) | Rain from large scale weather systems of the preceding hour in millimeter |
| showers | Preceding hour sum | mm (inch) | Showers from convective precipitation in millimeters from the preceding hour |
| weather_code | Instant | WMO code | Weather condition as a numeric code. Follow WMO weather interpretation codes. See table below for details. |
| snow_depth | Instant | meters | Snow depth on the ground |
| freezing_level_height | Instant | meters | Altitude above sea level of the 0°C level |
| visibility | Instant | meters | Viewing distance in meters. Influenced by low clouds, humidity and aerosols. |
| soil_temperature_0cm soil_temperature_6cm soil_temperature_18cm soil_temperature_54cm | Instant | °C (°F) | Temperature in the soil at 0, 6, 18 and 54 cm depths. 0 cm is the surface temperature on land or water surface temperature on water. |
| soil_moisture_0_to_1cm soil_moisture_1_to_3cm soil_moisture_3_to_9cm soil_moisture_9_to_27cm soil_moisture_27_to_81cm | Instant | mÂł/mÂł | Average soil water content as volumetric mixing ratio at 0-1, 1-3, 3-9, 9-27 and 27-81 cm depths. |
| is_day | Instant | Dimensionless | 1 if the current time step has daylight, 0 at night. |
15-Minutely Parameter Definition
The parameter &minutely_15= can be used to get 15-minutely data. This data is based on NOAA HRRR model for North America and DWD ICON-D2 and Météo-France AROME model for Central Europe. If 15-minutely data is requested for other regions data is interpolated from 1-hourly to 15-minutely.
15-minutely data can be requested for other weather variables that are available for hourly data, but will use interpolation.
| Variable | Valid time | Unit | HRRR | ICON-D2 | AROME |
|---|---|---|---|---|---|
| temperature_2m | Instant | °C (°F) | x | x | |
| relative_humidity_2m | Instant | % | x | x | |
| dew_point_2m | Instant | °C (°F) | x | x | |
| apparent_temperature | Instant | °C (°F) | x | x | |
| shortwave_radiation | Preceding 15 minutes mean | W/m² | x | x | |
| direct_radiation direct_normal_irradiance | Preceding 15 minutes mean | W/m² | x | x | |
| global_tilted_irradiance global_tilted_irradiance_instant | Preceding 15 minutes mean | W/m² | x | x | |
| diffuse_radiation | Preceding 15 minutes mean | W/m² | x | x | |
| sunshine_duration | Preceding 15 minutes sum | seconds | x | x | |
| lightning_potential | Instant | J/kg | x | ||
| precipitation | Preceding 15 minutes sum | mm (inch) | x | x | x |
| snowfall | Preceding 15 minutes sum | cm (inch) | x | x | x |
| rain | Preceding 15 minutes sum | mm (inch) | x | x | x |
| showers | Preceding 15 minutes sum | mm (inch) | x | ||
| snowfall_height | Instant | meters | x | ||
| freezing_level_height | Instant | meters | x | ||
| cape | Instant | J/kg | x | x | x |
| wind_speed_10m wind_speed_80m | Instant | km/h (mph, m/s, knots) | x | x | |
| wind_direction_10m wind_direction_80m | Instant | ° | x | x | |
| wind_gusts_10m | Preceding 15 min max | km/h (mph, m/s, knots) | x | ||
| visibility | Instant | meters | x | x | |
| weather_code | Instant | WMO code | x | x |
Pressure Level Variables
Pressure level variables do not have fixed altitudes. Altitude varies with atmospheric pressure. 1000 hPa is roughly between 60 and 160 meters above sea level. Estimated altitudes are given below. Altitudes are in meters above sea level (not above ground). For precise altitudes, geopotential_height can be used.
| Level (hPa) | 1000 | 975 | 950 | 925 | 900 | 850 | 800 | 700 | 600 | 500 | 400 | 300 | 250 | 200 | 150 | 100 | 70 | 50 | 30 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Altitude | 110 m | 320 m | 500 m | 800 m | 1000 m | 1500 m | 1900 m | 3 km | 4.2 km | 5.6 km | 7.2 km | 9.2 km | 10.4 km | 11.8 km | 13.5 km | 15.8 km | 17.7 km | 19.3 km | 22 km |
All pressure level have valid times of the indicated hour (instant).
| Variable | Unit | Description |
|---|---|---|
| temperature_1000hPa temperature_975hPa, ... | °C (°F) | Air temperature at the specified pressure level. Air temperatures decrease linearly with pressure. |
| relative_humidity_1000hPa relative_humidity_975hPa, ... | % | Relative humidity at the specified pressure level. |
| dew_point_1000hPa dew_point_975hPa, ... | °C (°F) | Dew point temperature at the specified pressure level. |
| cloud_cover_1000hPa cloud_cover_975hPa, ... | % | Cloud cover at the specified pressure level. Cloud cover is approximated based on relative humidity using Sundqvist et al. (1989). It may not match perfectly with low, mid and high cloud cover variables. |
| wind_speed_1000hPa wind_speed_975hPa, ... | km/h (mph, m/s, knots) | Wind speed at the specified pressure level. |
| wind_direction_1000hPa wind_direction_975hPa, ... | ° | Wind direction at the specified pressure level. |
| geopotential_height_1000hPa geopotential_height_975hPa, ... | meter | Geopotential height at the specified pressure level. This can be used to get the correct altitude in meter above sea level of each pressure level. Be carefull not to mistake it with altitude above ground. |
Daily Parameter Definition
Aggregations are a simple 24 hour aggregation from hourly values. The parameter &daily= accepts the following values:
| Variable | Unit | Description |
|---|---|---|
| temperature_2m_max temperature_2m_min | °C (°F) | Maximum and minimum daily air temperature at 2 meters above ground |
| apparent_temperature_max apparent_temperature_min | °C (°F) | Maximum and minimum daily apparent temperature |
| precipitation_sum | mm | Sum of daily precipitation (including rain, showers and snowfall) |
| rain_sum | mm | Sum of daily rain |
| showers_sum | mm | Sum of daily showers |
| snowfall_sum | cm | Sum of daily snowfall |
| precipitation_hours | hours | The number of hours with rain |
| precipitation_probability_max precipitation_probability_min precipitation_probability_mean | % | Probability of precipitation |
| weather_code | WMO code | The most severe weather condition on a given day |
| sunrise sunset | iso8601 | Sun rise and set times |
| sunshine_duration | seconds | The number of seconds of sunshine per day is determined by calculating direct normalized irradiance exceeding 120 W/m², following the WMO definition. Sunshine duration will consistently be less than daylight duration due to dawn and dusk. |
| daylight_duration | seconds | Number of seconds of daylight per day |
| wind_speed_10m_max wind_gusts_10m_max | km/h (mph, m/s, knots) | Maximum wind speed and gusts on a day |
| wind_direction_10m_dominant | ° | Dominant wind direction |
| shortwave_radiation_sum | MJ/m² | The sum of solar radiation on a given day in Megajoules |
| et0_fao_evapotranspiration | mm | Daily sum of ETâ‚€ Reference Evapotranspiration of a well watered grass field |
| uv_index_max uv_index_clear_sky_max | Index | Daily maximum in UV Index starting from 0. uv_index_clear_sky_max assumes cloud free conditions. Please follow the official WMO guidelines for ultraviolet index. |
JSON Return Object
On success a JSON object will be returned.
"latitude": 52.52,
"longitude": 13.419,
"elevation": 44.812,
"generationtime_ms": 2.2119,
"utc_offset_seconds": 0,
"timezone": "Europe/Berlin",
"timezone_abbreviation": "CEST",
"hourly": {
"time": ["2022-07-01T00:00", "2022-07-01T01:00", "2022-07-01T02:00", ...],
"temperature_2m": [13, 12.7, 12.7, 12.5, 12.5, 12.8, 13, 12.9, 13.3, ...]
},
"hourly_units": {
"temperature_2m": "°C"
}
| Parameter | Format | Description |
|---|---|---|
| latitude, longitude | Floating point | WGS84 of the center of the weather grid-cell which was used to generate this forecast. This coordinate might be a few kilometers away from the requested coordinate. |
| elevation | Floating point | The elevation from a 90 meter digital elevation model. This effects which grid-cell is selected (see parameter cell_selection). Statistical downscaling is used to adapt weather conditions for this elevation. This elevation can also be controlled with the query parameter elevation. If &elevation=nan is specified, all downscaling is disabled and the averge grid-cell elevation is used. |
| generationtime_ms | Floating point | Generation time of the weather forecast in milliseconds. This is mainly used for performance monitoring and improvements. |
| utc_offset_seconds | Integer | Applied timezone offset from the &timezone= parameter. |
| timezone timezone_abbreviation | String | Timezone identifier (e.g. Europe/Berlin) and abbreviation (e.g. CEST) |
| hourly | Object | For each selected weather variable, data will be returned as a floating point array. Additionally a time array will be returned with ISO8601 timestamps. |
| hourly_units | Object | For each selected weather variable, the unit will be listed here. |
| daily | Object | For each selected daily weather variable, data will be returned as a floating point array. Additionally a time array will be returned with ISO8601 timestamps. |
| daily_units | Object | For each selected daily weather variable, the unit will be listed here. |
Errors
In case an error occurs, for example a URL parameter is not correctly specified, a JSON error object is returned with a HTTP 400 status code.
"error": true,
"reason": "Cannot initialize WeatherVariable from invalid String value tempeture_2m for key hourly"
Weather variable documentation
WMO Weather interpretation codes (WW)
| Code | Description |
|---|---|
| 0 | Clear sky |
| 1, 2, 3 | Mainly clear, partly cloudy, and overcast |
| 45, 48 | Fog and depositing rime fog |
| 51, 53, 55 | Drizzle: Light, moderate, and dense intensity |
| 56, 57 | Freezing Drizzle: Light and dense intensity |
| 61, 63, 65 | Rain: Slight, moderate and heavy intensity |
| 66, 67 | Freezing Rain: Light and heavy intensity |
| 71, 73, 75 | Snow fall: Slight, moderate, and heavy intensity |
| 77 | Snow grains |
| 80, 81, 82 | Rain showers: Slight, moderate, and violent |
| 85, 86 | Snow showers slight and heavy |
| 95 * | Thunderstorm: Slight or moderate |
| 96, 99 * | Thunderstorm with slight and heavy hail |
(*) Thunderstorm forecast with hail is only available in Central Europe