# Climatology

Query ERA5 WMO 30-year climatology data (1991-2020) for historical baselines.

## Query climatology data over a time range

> Query ERA5 WMO climatology data (30-year averages from 1991-2020) over a specified time range.\
> \
> Climatology provides historical baseline values for each (month, hour, latitude, longitude) \
> combination, useful for:\
> \- Comparing forecasts against historical norms\
> \- Detecting anomalies in weather patterns\
> \- Energy market baseline calculations\
> \
> \*\*Time Range Query:\*\*\
> Specify \`start\_time\` and \`end\_time\` to get climatology data for each hour in the range.\
> The climatology values are matched by month and hour, then combined with the full \
> datetime from your time range. This allows you to get a "typical" weather pattern \
> for any date range based on historical averages.\
> \
> \*\*Query Dimensions:\*\*\
> \- \`geo\`: Location filter (point, bounding\_box, polygon, market\_zone, country\_key)\
> \- \`start\_time\`: Start of the time range (inclusive)\
> \- \`end\_time\`: End of the time range (exclusive)\
> \- \`variables\`: Weather variables to retrieve\
> \
> \*\*Time Aggregation:\*\*\
> Use \`group\_by\` to control time aggregation:\
> \- \`hourly\`: Hourly resolution (default)\
> \- \`daily\`: Daily averages\
> \- \`weekly\`: Weekly averages\
> \
> For daily/weekly aggregations, use \`timezone\` to specify the timezone for day/week boundaries\
> (e.g., "Europe/Berlin"). Defaults to UTC if not specified.\
> \
> \*\*Spatial Aggregation:\*\*\
> Add \`market\_zone\`, \`country\_key\`, or \`point\` to \`group\_by\` to preserve geographic dimensions.\
> Use \`aggregation\` to specify the aggregation function (e.g., \`\["avg"]\`).\
> \
> \*\*Response Formats:\*\*\
> \- \`json\`: Columnar JSON format \`{column: \[values], ...}\`\
> \- \`arrow\`: Apache Arrow IPC stream for efficient processing\
> \
> \*\*Authentication\*\*: Requires API key.\
> \
> \*\*Billing\*\*: Free - no credit charges.\
> \
> For more information, see \[docs.jua.ai]\(<https://docs.jua.ai>).

````json
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This allows you to get a \"typical\" weather pattern \nfor any date range based on historical averages.\n\n**Query Dimensions:**\n- `geo`: Location filter (point, bounding_box, polygon, market_zone, country_key)\n- `start_time`: Start of the time range (inclusive)\n- `end_time`: End of the time range (exclusive)\n- `variables`: Weather variables to retrieve\n\n**Time Aggregation:**\nUse `group_by` to control time aggregation:\n- `hourly`: Hourly resolution (default)\n- `daily`: Daily averages\n- `weekly`: Weekly averages\n\nFor daily/weekly aggregations, use `timezone` to specify the timezone for day/week boundaries\n(e.g., \"Europe/Berlin\"). 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purposes."},"CustomerVariable":{"type":"string","enum":["air_temperature_at_height_level_2m","surface_temperature","dew_point_temperature_at_height_level_2m","relative_humidity_at_height_level_2m","air_pressure_at_mean_sea_level","surface_air_pressure","wind_speed_at_height_level_10m","wind_direction_at_height_level_10m","wind_speed_at_height_level_100m","wind_direction_at_height_level_100m","wind_speed_at_height_level_20m","wind_speed_at_height_level_40m","wind_speed_at_height_level_60m","wind_speed_at_height_level_80m","wind_speed_at_height_level_120m","wind_speed_at_height_level_140m","wind_speed_at_height_level_160m","wind_speed_at_height_level_180m","wind_speed_at_height_level_200m","wind_direction_at_height_level_200m","air_density_at_height_level_2m","geopotential_at_pressure_level_50000Pa","eastward_wind_at_height_level_10m","northward_wind_at_height_level_10m","eastward_wind_at_height_level_100m","northward_wind_at_height_level_100m","wind_speed_of_gust_at_height_level_10m_max","surface_direct_downwelling_shortwave_flux_sum_1h","surface_downwelling_longwave_flux_sum_1h","surface_downwelling_shortwave_flux_sum_1h","surface_downwelling_longwave_flux_sum_6h","surface_downwelling_shortwave_flux_sum_6h","surface_net_downward_longwave_flux_sum_1h","surface_net_downward_shortwave_flux_sum_1h","surface_net_downward_longwave_flux_sum_6h","surface_net_downward_shortwave_flux_sum_6h","surface_direct_along_beam_shortwave_flux_sum_6h","cloud_area_fraction_at_entire_atmosphere","cloud_area_fraction_at_entire_atmosphere_high_type","cloud_area_fraction_at_entire_atmosphere_medium_type","cloud_area_fraction_at_entire_atmosphere_low_type","precipitation_amount_sum_1h","precipitation_amount_sum_3h","precipitation_amount_sum_6h","precipitation_amount_sum_12h","precipitation_amount_sum_24h","atmosphere_convective_available_potential_energy","predominant_precipitation_type_at_surface","sea_surface_temperature"],"title":"CustomerVariable","description":"Weather variable name with units:\n  • air_temperature_at_height_level_2m: K\n  • surface_temperature: K\n  • dew_point_temperature_at_height_level_2m: K\n  • relative_humidity_at_height_level_2m: %\n  • air_pressure_at_mean_sea_level: Pa\n  • surface_air_pressure: Pa\n  • wind_speed_at_height_level_10m: m/s\n  • wind_direction_at_height_level_10m: degrees\n  • wind_speed_at_height_level_100m: m/s\n  • wind_direction_at_height_level_100m: degrees\n  • wind_speed_at_height_level_20m: m/s\n  • wind_speed_at_height_level_40m: m/s\n  • wind_speed_at_height_level_60m: m/s\n  • wind_speed_at_height_level_80m: m/s\n  • wind_speed_at_height_level_120m: m/s\n  • wind_speed_at_height_level_140m: m/s\n  • wind_speed_at_height_level_160m: m/s\n  • wind_speed_at_height_level_180m: m/s\n  • wind_speed_at_height_level_200m: m/s\n  • wind_direction_at_height_level_200m: degrees\n  • air_density_at_height_level_2m: kg/m³\n  • geopotential_at_pressure_level_50000Pa: m²/s²\n  • eastward_wind_at_height_level_10m: m/s\n  • northward_wind_at_height_level_10m: m/s\n  • eastward_wind_at_height_level_100m: m/s\n  • northward_wind_at_height_level_100m: m/s\n  • wind_speed_of_gust_at_height_level_10m_max: m/s\n  • surface_direct_downwelling_shortwave_flux_sum_1h: J/m²\n  • surface_downwelling_longwave_flux_sum_1h: J/m²\n  • surface_downwelling_shortwave_flux_sum_1h: J/m²\n  • surface_downwelling_longwave_flux_sum_6h: J/m²\n  • surface_downwelling_shortwave_flux_sum_6h: J/m²\n  • surface_net_downward_longwave_flux_sum_1h: J/m²\n  • surface_net_downward_shortwave_flux_sum_1h: J/m²\n  • surface_net_downward_longwave_flux_sum_6h: J/m²\n  • surface_net_downward_shortwave_flux_sum_6h: J/m²\n  • surface_direct_along_beam_shortwave_flux_sum_6h: J/m²\n  • cloud_area_fraction_at_entire_atmosphere: fraction (0-1)\n  • cloud_area_fraction_at_entire_atmosphere_high_type: fraction (0-1)\n  • cloud_area_fraction_at_entire_atmosphere_medium_type: fraction (0-1)\n  • cloud_area_fraction_at_entire_atmosphere_low_type: fraction (0-1)\n  • precipitation_amount_sum_1h: mm\n  • precipitation_amount_sum_3h: mm\n  • precipitation_amount_sum_6h: mm\n  • precipitation_amount_sum_12h: mm\n  • precipitation_amount_sum_24h: mm\n  • atmosphere_convective_available_potential_energy: J/kg\n  • predominant_precipitation_type_at_surface: categorical\n  • sea_surface_temperature: K"},"Aggregation":{"properties":{"aggregation":{"type":"string","enum":["avg","std","min","max","sum","count","median","quantile","argmin","argmax"],"title":"Aggregation","description":"Aggregation function name."},"parameters":{"anyOf":[{"items":{},"type":"array"},{"type":"null"}],"title":"Parameters","description":"Parameters for parameterized aggregations.Example: 'quantile': [0.5] for median, [0.95] for 95th percentile, etc."},"variables":{"anyOf":[{"items":{"$ref":"#/components/schemas/CustomerVariable"},"type":"array"},{"type":"null"}],"title":"Variables","description":"Specific variables to aggregate. If None, applies to all variables in the query"}},"type":"object","required":["aggregation"],"title":"Aggregation","description":"Aggregation function to apply when grouping forecast data.\n\nSupported aggregations:\n- Basic: avg, std, min, max, sum, count, median\n- Parameterized: quantile_(p), argmin_(col), argmax_(col)\n\nFor argmin/argmax, the parameter is the column to return, and the variable\nis the column to find the min/max of. Example:\n    argmin_(time)__temperature -> returns time when temperature is minimum\n\nCan be applied to specific variables or all variables in the query."},"Pagination":{"properties":{"limit":{"type":"integer","title":"Limit","default":100},"offset":{"type":"integer","title":"Offset","default":0}},"type":"object","title":"Pagination"},"Weighting":{"properties":{"type":{"type":"string","enum":["wind_capacity","wind_capacity_combined","solar_capacity","population"],"title":"Type","description":"Weighting type for geographic aggregation. 'wind_capacity': Weight by installed wind power capacity. 'solar_capacity': Weight by installed solar power capacity. 'population': Weight by population density"},"unit":{"type":"string","enum":["weather","mw"],"title":"Unit","description":"Output unit. 'weather': return capacity-weighted raw weather values E[wu]. 'mw': apply power curves in ClickHouse and return predicted MW.","default":"weather"}},"type":"object","required":["type"],"title":"Weighting","description":"Weighting scheme for aggregating forecast data over geographic areas.\n\nApplies weighted averages based on capacity or population distribution within\nthe queried area."},"HTTPValidationError":{"properties":{"detail":{"items":{"$ref":"#/components/schemas/ValidationError"},"type":"array","title":"Detail"}},"type":"object","title":"HTTPValidationError"},"ValidationError":{"properties":{"loc":{"items":{"anyOf":[{"type":"string"},{"type":"integer"}]},"type":"array","title":"Location"},"msg":{"type":"string","title":"Message"},"type":{"type":"string","title":"Error Type"}},"type":"object","required":["loc","msg","type"],"title":"ValidationError"}}}}
````

## List available climatology variables

> Get a list of weather variables available in the ERA5 climatology dataset.\
> \
> These variables represent 30-year averages (1991-2020) computed from ERA5 reanalysis data.\
> \
> \*\*Authentication\*\*: Requires API key.

```json
{"openapi":"3.1.0","info":{"title":"Jua Query Engine API","version":"0.1.0"},"tags":[{"name":"climatology","description":"Query ERA5 WMO 30-year climatology data (1991-2020) for historical baselines."}],"security":[{"HTTPBearer":[]}],"paths":{"/v1/climatology/variables":{"get":{"tags":["climatology"],"summary":"List available climatology variables","description":"Get a list of weather variables available in the ERA5 climatology dataset.\n\nThese variables represent 30-year averages (1991-2020) computed from ERA5 reanalysis data.\n\n**Authentication**: Requires API key.","operationId":"get_climatology_variables_v1_climatology_variables_get","responses":{"200":{"description":"Successfully retrieved variable list","content":{"application/json":{"schema":{"$ref":"#/components/schemas/query_engine__climatology__router__AvailableVariablesResult"}}}},"401":{"description":"Authentication required"}}}}},"components":{"schemas":{"query_engine__climatology__router__AvailableVariablesResult":{"properties":{"variables":{"items":{"$ref":"#/components/schemas/ClimatologyVariableInfo"},"type":"array","title":"Variables"}},"type":"object","required":["variables"],"title":"AvailableVariablesResult","description":"Result containing available climatology variables."},"ClimatologyVariableInfo":{"properties":{"name":{"type":"string","title":"Name"},"description":{"type":"string","title":"Description"},"unit":{"type":"string","title":"Unit","default":""}},"type":"object","required":["name","description"],"title":"ClimatologyVariableInfo","description":"Information about a climatology variable."}}}}
```

## Get climatology dataset metadata

> Get metadata about the ERA5 WMO climatology dataset including:\
> \- Grid resolution and dimensions\
> \- Available months and hours\
> \- List of variables\
> \
> \*\*Authentication\*\*: Requires API key.

```json
{"openapi":"3.1.0","info":{"title":"Jua Query Engine API","version":"0.1.0"},"tags":[{"name":"climatology","description":"Query ERA5 WMO 30-year climatology data (1991-2020) for historical baselines."}],"security":[{"HTTPBearer":[]}],"paths":{"/v1/climatology/meta":{"get":{"tags":["climatology"],"summary":"Get climatology dataset metadata","description":"Get metadata about the ERA5 WMO climatology dataset including:\n- Grid resolution and dimensions\n- Available months and hours\n- List of variables\n\n**Authentication**: Requires API key.","operationId":"get_climatology_meta_v1_climatology_meta_get","responses":{"200":{"description":"Successfully retrieved metadata","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ClimatologyMetaResult"}}}},"401":{"description":"Authentication required"}}}}},"components":{"schemas":{"ClimatologyMetaResult":{"properties":{"description":{"type":"string","title":"Description"},"period":{"type":"string","title":"Period"},"grid_resolution":{"type":"string","title":"Grid Resolution"},"num_latitudes":{"type":"integer","title":"Num Latitudes"},"num_longitudes":{"type":"integer","title":"Num Longitudes"},"months":{"items":{"type":"integer"},"type":"array","title":"Months"},"hours":{"items":{"type":"integer"},"type":"array","title":"Hours"},"variables":{"items":{"type":"string"},"type":"array","title":"Variables"},"variable_units":{"additionalProperties":{"type":"string"},"type":"object","title":"Variable Units","default":{}}},"type":"object","required":["description","period","grid_resolution","num_latitudes","num_longitudes","months","hours","variables"],"title":"ClimatologyMetaResult","description":"Metadata about the climatology dataset."}}}}
```