NAV

1. Introduction

OikoLab has processed hundreds of terabytes of data to give you access this data in seconds rather than hours, whether you require 1 month or 70 years of historical data so that you can focus on your analysis rather than downloading and processing raw data.

Information on how to access the data via REST API can be found in the APIs section. Here, we provide a bit more information on the datasets and a simple example using the popular Pandas library in Python.

1.1 What is reanalysis?

Climate reanalyses combine vast observations from satellites, aircraft, land and sea based weather sensors with atmospheric models to generate consistent time series of multiple climate variables. ERA5 is the latest climate reanalysis produced by ECMWF, providing hourly data on many atmospheric, land-surface and sea-state parameters, on regular latitude-longitude grids at 0.25o x 0.25o lat/lon resolution.

IMage of ERA5 Reanalysis

1.2 Our Datasets

We're always expanding our datasets - please reach out to us if you have needs for datasets that we don't currently have.

Dataset Type Dataset Horizontal
Resolution
Temporal
Resolution
Horizon Update
Frequency
Source
Reanalysis ERA5
ERA5-Land*
28km
9km
1 hr
1 hr
from 1950
from 2017
Daily
Monthly
ECMWF
ECMWF
Global Forecast GFS
ICON*
GDPS*
13/25km
13km
15km
1 hr
1 hr
3 hr
16 days
5 days
10 days
6 hrs
6 hrs
12 hrs
NCEP
DWD
Environment Canada
Regional Forecast NAM CONUS*
HRDPS*
ICON-EU*
HRRR*
2.5km
2.5km
6.5km
2.5km
1 hr
1 hr
1 hr
1 hr
3 days
2 days
2 days
2 days
6 hrs
6 hrs
6 hrs
6 hrs
NCEP
Environment Canada
DWD
NCEP
Seasonal Forecast CFS 100km 6 hrs
9 months Daily NCEP
Ensemble Forecast GEFS
HREF*
25km
5km
3 hr
1 hr
10 days
3 days
6 hrs
6 hrs
NCEP
NCEP
Air Quality SILAM 20km 1 hr 5 days Daily FMI

*Coming soon

2. Weather Data (/weather)

2.1 Request

Remember to use your own api_key.

import requests

r = requests.get('https://api.oikolab.com/weather',
                 params={'param': ['temperature','wind_speed'],
                         'start': '2010-01-01',
                         'end': '2018-12-31',
                         'lat': 43.6529, 
                         'lon': -79.3849,
                         'api-key': 'your_api_key_here'}
                 )

We've designed the API to be as intuitive as possible.

The data is accessed through REST API by specifying the location, parameters and the time-range of the data needed. In this example, we are using the Python requests library to get temperature and wind_speed (at 10m height) between January 1, 2010 to December 31, 2018.

The following table shows the parameters that can be used to query weather data.

Parameter Option Type Description Notes
param optional str Valid parameters Default: temperature, dewpoint_temperature, wind_speed, mean_sea_level_pressure, surface_solar_radiation, surface_thermal_radiation, total_cloud_cover
start optional str start datetime string YYYY-MM-DD. Defaults to 3 days into the past. Provided time is interpreted as UTC.
end optional str end datetime string YYYY-MM-DD. Defaults to 7 days into the future. Provided time is interpreted as UTC.
freq optional str H (hourly), D (daily), or M (monthly) Defaults to H
resample_method optional str max, mean or min When the frequency is set to daily (D) or monthly (M), this can be used to request maximum or minimum value during the specififed period.
location optional str city name or zipcode This value is used to look up latitude/longitude.
lat optional str latitude(s) If location is not provided.
lon optional str longitude(s) If location is not provided.
north optional float latitude north For bounding box (Enterprise plan only).
south optional float latitude south For bounding box (Enterprise plan only).
east optional float longitude east For bounding box (Enterprise plan only).
west optional float longitude west For bounding box (Enterprise plan only).
model optional str era5 or gfs Use to specify dataset if applicable.
format optional str json, csv, or netcdf Defaults to json; netcdf available for Enterprise plan only.

2.2 Response

The above command returns JSON data structured like this:

{'attributes': {
                'lat': 43.6529,
                'lon': -79.3849,
                'processing_time': 1.527, 
                'n_parameter_months': 851, 
                'gfs_reference_time': '2021-05-17 12 UTC', 
                'next_gfs_update': 'in 2.0 hours (approx)', 
                 },
  'data': '{"columns": ["temperature (degC)","wind_speed (m/s)"],
                       "index":[1262304000,1262307600,... ],
                       "data":[[16.59,7.61],[16.44,7.79]...]
          }'
}

The returned data in JSON format (default) will have two parts. The first, attributes, contains the meta-data about the response. The data part contains the weather and climate data, organized index, columns, and data, for easy conversion to dataframe. Note that with each respone, we provide the number of units (n_parameter_months) of the API request.

With json and pandas libraries, we can easily conver the JSON format to dataframe.

import json
import pandas as pd

weather_data = json.loads(r.json()['data'])
df = pd.DataFrame(index=pd.to_datetime(weather_data['index'], 
                                       unit='s'),
                  data=weather_data['data'],
                  columns=weather_data['columns'])

The data can be easily coverted to Pandas DataFrame, when converted, will look like this:

coordinates
(lat,lon)
model model elevation
(surface) (m)
utc_offset temperature
(degC)
wind_speed
(m/s)
2010-01-01 00:00:00 (43.6529, -79.3849) era5 127.14 -5 16.59 7.61
2010-01-01 01:00:00 (43.6529, -79.3849) era5 127.14 -5 16.44 7.79
2010-01-01 02:00:00 (43.6529, -79.3849) era5 127.14 -5 16.27 7.60
2010-01-01 03:00:00 (43.6529, -79.3849) era5 127.14 -5 16.00 7.71
2010-01-01 04:00:00 (43.6529, -79.3849) era5 127.14 -5 15.56 7.62
... ... ...
2018-12-31 19:00:00 (43.6529, -79.3849) era5 127.14 -5 11.03 6.11
2018-12-31 20:00:00 (43.6529, -79.3849) era5 127.14 -5 10.70 6.34
2018-12-31 21:00:00 (43.6529, -79.3849) era5 127.14 -5 10.56 6.33
2018-12-31 22:00:00 (43.6529, -79.3849) era5 127.14 -5 10.38 6.38
2018-12-31 23:00:00 (43.6529, -79.3849) era5 127.14 -5 10.26 6.50

78888 rows × 2 columns

Please note that the timestamp is UTC and utc_offset is in hours. The 'model elevation (surface) (m)' refers to the model surface elevation (calculated from geopotential value of the dataset) above mean sea level and may differ from actual surface elevation.

2.3 Available Parameters

Available parameters are shown below, grouped into major categories for ease of reference. Please note that some parameters are only available for ERA5 (historical) data.

Group 1: Temperature

Parameter Type Min Max Unit Description Notes
temperature Inst -80 +80 oC Drybulb temperature of air at 2m above the surface of land, sea or inland waters.
dewpoint_temperature Inst -80 +80 oC The temperature to which the air at 2 metres above the surface of the Earth would have to be cooled for saturation to occur. Reference
wetbulb_temperature Inst -80 +80 oC The temperature read by a thermometer covered in water-soaked cloth over which air is passed. Reference Calculated value.
humidex_index Inst -80 +80 oC Humidex Index as defined by Canadian Meteorologists
soil_temperature_level_1 Inst -80 +80 oC Soil temperature at level 1 (0 - 7cm), in the middle of layer.
soil_temperature_level_2 Inst -80 +80 oC Soil temperature at level 2 (7 - 28cm), in the middle of layer.
soil_temperature_level_3 Inst -80 +80 oC Soil temperature at level 3 (28 - 100cm), in the middle of layer.
soil_temperature_level_4 Inst -80 +80 oC Soil temperature at level 4 (100 - 289cm), in the middle of layer.
sea_surface_temperature Inst -80 +80 oC The temperature of sea water near the surface. In ERA5, this parameter is a foundation SST, which means there are no diurnal variations. Before September 2007, SST from the HadISST2 dataset is used and from September 2007 onwards, the OSTIA dataset is used.
skin_temperature Inst -80 +80 oC The theoretical temperature that is required to satisfy the surface energy balance; it represents the temperature of the uppermost surface layer, which has no heat capacity. Skin temperature is calculated differently over land and sea.

Group 2: Wind

Parameter Type Min Max Unit Description Notes
wind_speed Inst 0 +60 m/s Wind speed at 10m above the surface. Calculated value.
wind_gust Inst 0 +100 m/s Instantaneous wind gust at 10m above surface.
wind_direction Inst 0 360 deg Wind direction at 10m above the surface. Calculated value.
10m_wind_gust Inst 0 +100 m/s Instantaneous wind gust at 10m above surface.
10m_u_component_of_wind Inst -100 +100 m/s U component of wind at 10m above the surface.
10m_v_component_of_wind Inst -100 +100 m/s V component of wind at 10m above the surface.
wind_direction Inst 0 360 deg Wind direction at 10m above the surface. Calculated value.
100m_wind_speed Inst 0 +60 m/s Wind speed at 100m above the surface. Calculated value.
100m_wind_direction Inst 0 360 deg Wind direction at 100m above the surface. Calculated value.
100m_u_component_of_wind Inst -100 +100 m/s U component of wind at 100m above the surface.
100m_v_component_of_wind Inst -100 +100 m/s V component of wind at 100m above the surface.

Group 3: Radiation

Radiation parameters are accumulated values based on the previous time step, typically one hour or 3 hours in the case of 5 to 16 day forecast. ERA5 reanalysis values are originally provided in J/m2 and have been converted to W/m2.

Parameter Type Min Max Unit Description Notes
surface_solar_radiation Acc 0 1300 W/m2 Solar radiation (shortwave) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation.
surface_thermal_radiation Acc 0 1300 W/m2 Thermal radiation (longwave) emitted by the atmosphere and clouds that reaches a horizontal plane at the surface of the Earth.
surface_direct_solar_radiation Acc 0 1300 W/m2 Direct solar radiation (shortwave) reaching the surface of the Earth, passing through a horizontal plane.
direct_normal_solar_radiation Acc 0 1300 W/m2 Solar radiation received per unit area normal to the direction of the sun. Calculated from solar zenith angle and surface direct solar radiation.
surface_diffuse_solar_radiation Acc 0 1300 W/m2 Scattered solar radiation received per horizontal unit area on the surface. Calculated from surface and surface direct solar radiation.

Group 4: Pressure, Humidity & Precipitation

Precipitation parameters are accumulated values based on the previous time step, typically one hour or 3 hours in the case of 5 to 16 day forecast. Original values provided in kg/m2 of water equivalent have been converted to mm of water equivalent.

Parameter Type Min Max Unit Description Notes
relative_humidity Inst 0 1 - Relative humidity calculated from dewpoint temperature, drybulb temperature and pressure. Calculated value.
surface_pressure Inst 50000 130000 Pa The pressure (force per unit area) of the atmosphere at the surface of land, sea and inland water.
mean_sea_level_pressure Inst 50000 130000 Pa The pressure (force per unit area) of the atmosphere at sea level.
total_cloud_cover Inst 0 1 - Single level field calculated from the cloud occurring at different model levels through the atmosphere.
total_precipitation Acc 0 50 mm The accumulated liquid and frozen water, comprising rain and snow, that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation.
snowfall Acc 0 50 mm The accumulated snow that falls to the Earth's surface. It is the sum of large-scale snowfall and convective snowfall. Currently only available for ERA5 data
volumetric_soil_water_layer_1 Inst 0 1 - Soil moisture at level 1 (0 - 7cm).
volumetric_soil_water_layer_2 Inst 0 1 - Soil moisture at level 2 (7 - 28cm).
volumetric_soil_water_layer_3 Inst 0 1 - Soil moisture at level 3 (28 - 100cm).
volumetric_soil_water_layer_4 Inst 0 1 - Soil moisture at level 4 (100 - 289cm).

Group 5: Advanced Parameters

The following parameters are available for Enterprise plans.

Parameter Type Min Max Unit Description Notes
boundary_layer_height Inst 0 5000 m The depth of air next to the Earth's surface which is most affected by the resistance to the transfer of momentum, heat or moisture across the surface.
cloud_base_height Inst 0 20000 m The height above the Earth's surface of the base of the lowest cloud layer, at the specified time.
convective_available_potential_energy Inst 0 10000 J/kg Indication of the instability (or stability) of the atmosphere and can be used to assess the potential for the development of convection, which can lead to heavy rainfall, thunderstorms and other severe weather.
convective_inhibition Inst 0 2000 J/kg This parameter is a measure of the amount of energy required for convection to commence.
downward_uv_radiation_at_the_surface Acc 0 200 W/m2 The amount of ultraviolet (UV) radiation reaching the surface. It is the amount of radiation passing through a horizontal plane.
evaporation Inst -2 2 mm The accumulated amount of water that has evaporated from the Earth's surface, including a simplified representation of transpiration (from vegetation), into vapour in the air above.
forecast_albedo Inst 0 1 - A measure of the reflectivity of the Earth's surface
forecast_surface_roughness Inst 0 5 m The aerodynamic roughness length in metres as a measure of the surface resistance.
friction_velocity Inst 0 5 m/s A theoretical wind speed at the Earth's surface that expresses the magnitude of stress.
high_cloud_cover Inst 0 1 - The proportion of a grid box covered by cloud occurring in the high levels of the troposphere.
high_vegetation_cover Inst 0 1 - The fraction of the grid box that is covered with vegetation that is classified as "high". The values vary between 0 and 1 but do not vary in time
leaf_area_index_high_vegetation Inst 0 20 m2/m2 The surface area of one side of all the leaves found over an area of land for vegetation classified as "high".
leaf_area_index_low_vegetation Inst 0 10 m2/m2 The surface area of one side of all the leaves found over an area of land for vegetation classified as "low".
low_cloud_cover Inst 0 1 - The proportion of a grid box covered by cloud occurring in the lower levels of the troposphere.
low_vegetation_cover Inst 0 1 - The fraction of the grid box that is covered with vegetation that is classified as "low". The values vary between 0 and 1 but do not vary in time
mean_wave_direction Inst 0 360 degree true The mean direction of ocean/sea surface waves.
mean_wave_period Inst 1 20 s The average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.
medium_cloud_cover Inst 0 1 - The proportion of a grid box covered by cloud occurring in the middle levels of the troposphere.
potential_evaporation Inst -1 1 mm A measure of the extent to which near-surface atmospheric conditions are conducive to the process of evaporation.
skin_reservoir_content Inst 0 2 mm The amount of water in the vegetation canopy and/or in a thin layer on the soil.
sub_surface_runoff Inst 0 20 mm The water that drains away under the ground.
surface_latent_heat_flux Acc -1000 1000 W/m2 The transfer of latent heat (resulting from water phase changes, such as evaporation or condensation) between the Earth's surface and the atmosphere.
surface_runoff Inst 0 20 mm The water that drains away over the ground.
total_column_rain_water Inst 0 20 kg/m2 The total amount of water in droplets of raindrop size (which can fall to the surface as precipitation) in a column extending from the surface of the Earth to the top of the atmosphere.
total_column_water_vapour Inst 0 100 kg/m2 The total amount of water vapour in a column extending from the surface of the Earth to the top of the atmosphere.
zero_degree_level Inst 0 10000 m The height above the Earth's surface where the temperature passes from positive to negative values, corresponding to the top of a warm layer

3. Archived Forecast (/archivedforecast)

Forecast data is archived up to 28 days.

3.1 Request

Remember to use your own api_key.

import requests

r = requests.get('https://api.oikolab.com/archivedforecast',
                 params={'param': ['temperature',],
                         'utc_cycle': '2021-05-18 06:00:00',
                         'lat': 23.1,
                         'lon': 114.1,
                         'api-key': 'your_api_key_here'}
                 )

GFS forecasts are archived for up to 28 days.

Parameter Option Type Description Notes
utc_cycle required str Datetime string ('YYYY-MM-DDT00:00:00')
param optional str Valid list of parameters Defaults to temperature, dewpoint_temperature, wind_speed, mean_sea_level_pressure, surface_solar_radiation, surface_thermal_radiation, total_cloud_cover if not provided
location optional str location such as city name or zipcode for geocoding lookup
lat optional str latitude, if location is not provided
lon optional str longitude, if location is not provided

3.2 Response

The response will be the same as the weather API (/weather).

3.3 Available Parameters

Parameters that are available for GFS data are available for archived forecast API.

4. Ensemble Forecast (/ensembleforecast)

We provide summary data from the GFS Ensemble Forecast (GEFS). GEFS runs 30 separate member runs with slight variations in the initial condition.

4.1 Request

Remember to use your own api-key.

import requests

r = requests.get('https://api.oikolab.com/ensembleforecast',
                 params={'param': ['temperature',],
                         'lat': 23.1,
                         'lon': 114.1,
                         'api-key': 'your_api_key_here'}
                 )
Parameter Option Type Description Notes
param optional str Parameter names Defaults to temperature, 10m_u_component_of_wind, 10m_v_component_of_wind, surface_pressure, surface_solar_radiation, surface_thermal_radiation, total_cloud_cover if not provided
location optional str location such as city name or zipcode for geocoding lookup
lat optional str latitude, if location is not provided
lon optional str longitude, if location is not provided

4.2 Response

For each parameter, there will be three columns of data, one for ensemble average (_ens_avg suffix), one for control member (_ens_c00 suffix), and for the ensemble spread (_ens_spr suffix), as shown below.

coordinates (lat,lon) temperature_ens_avg (degC) temperature_ens_c00 (degC) temperature_ens_spr (degC)
2021-09-20 00:00:00 (52.378, 4.9) 14.46 14.46 0.36
2021-09-20 03:00:00 (52.378, 4.9) 13.49 13.65 0.47
2021-09-20 06:00:00 (52.378, 4.9) 11.91 11.80 0.74
2021-09-20 09:00:00 (52.378, 4.9) 14.43 14.30 0.35
2021-09-20 12:00:00 (52.378, 4.9) 16.99 17.07 0.51
... ... ... ... ...
2021-09-29 12:00:00 (52.378, 4.9) 15.39 14.73 2.99
2021-09-29 15:00:00 (52.378, 4.9) 15.39 11.51 3.14
2021-09-29 18:00:00 (52.378, 4.9) 12.41 9.59 2.59
2021-09-29 21:00:00 (52.378, 4.9) 11.55 9.64 2.66
2021-09-30 00:00:00 (52.378, 4.9) 11.10 10.38 2.59

4.3 Available Parameters

Parameter Type Min Max Unit Description Notes
temperature Inst -80 +80 oC Drybulb temperature of air at 2m above the surface of land, sea or inland waters.
max_temperature Inst -80 +80 oC Max temperature of air at 2m above the surface of land, sea or inland waters.
min_temperature Inst -80 +80 oC Min temperature of air at 2m above the surface of land, sea or inland waters.
10m_u_component_of_wind Inst -100 +100 m/s U component of wind at 10m above the surface.
10m_v_component_of_wind Inst -100 +100 m/s V component of wind at 10m above the surface.
surface_pressure Inst 50000 130000 Pa The pressure (force per unit area) of the atmosphere at the surface of land, sea and inland water.
soil_temperature_level_1 Inst -80 +80 oC Soil temperature at level 1 (0 - 7cm), in the middle of layer.
volumetric_soil_water_layer_1 Inst 0 1 - Soil moisture at level 1 (0 - 7cm).
volumetric_soil_water_layer_2 Inst 0 1 - Soil moisture at level 2 (7 - 28cm).
volumetric_soil_water_layer_3 Inst 0 1 - Soil moisture at level 3 (28 - 100cm).
volumetric_soil_water_layer_4 Inst 0 1 - Soil moisture at level 4 (100 - 289cm).
total_cloud_cover Inst 0 1 - Single level field calculated from the cloud occurring at different model levels through the atmosphere.
surface_solar_radiation Acc 0 1300 W/m2 Solar radiation (shortwave) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation.
surface_thermal_radiation Acc 0 1300 W/m2 Thermal radiation (longwave) emitted by the atmosphere and clouds that reaches a horizontal plane at the surface of the Earth.

5. Seasonal Forecast (/seasonalforecast)

5.1 Request

Remember to use your own api_key.

import requests

r = requests.get('https://api.oikolab.com/seasonalforecast',
                 params={'param': ['temperature',],
                         'lat': 23.1,
                         'lon': 114.1,
                         'api-key': '<your_api_key_here>'}
                 )
Parameter Option Type Description Notes
param optional str Parameter names Defaults to temperature, max_temperature, min_temperature if not provided
location optional str location such as city name or zipcode for geocoding lookup
lat optional str latitude, if location is not provided
lon optional str longitude, if location is not provided

5.2 Response

coordinates (lat,lon) temperature (degC) temperature_max (degC) temperature_min (degC)
2021-09-13 06:00:00 (52.378, 4.9) 13.09 13.93 12.74
2021-09-13 12:00:00 (52.378, 4.9) 16.65 16.62 13.25
2021-09-13 18:00:00 (52.378, 4.9) 14.67 16.74 14.64
2021-09-14 00:00:00 (52.378, 4.9) 12.73 14.50 12.73
2021-09-14 06:00:00 (52.378, 4.9) 12.82 12.84 12.45
... ... ... ... ...
2022-06-30 00:00:00 (52.378, 4.9) 18.38 21.95 18.38
2022-06-30 06:00:00 (52.378, 4.9) 18.42 18.48 17.37
2022-06-30 12:00:00 (52.378, 4.9) 24.08 24.08 18.62
2022-06-30 18:00:00 (52.378, 4.9) 22.00 24.32 22.00
2022-07-01 00:00:00 (52.378, 4.9) 18.48 21.80 18.45

5.3 Available Parameters

Parameter Type Min Max Unit Description Notes
temperature Inst -80 +80 oC Drybulb temperature of air at 2m above the surface of land, sea or inland waters.
max_temperature Inst -80 +80 oC Max temperature of air at 2m above the surface of land, sea or inland waters.
min_temperature Inst -80 +80 oC Min temperature of air at 2m above the surface of land, sea or inland waters.
10m_u_component_of_wind Inst -100 +100 m/s U component of wind at 10m above the surface.
10m_v_component_of_wind Inst -100 +100 m/s V component of wind at 10m above the surface.
surface_pressure Inst 50000 130000 Pa The pressure (force per unit area) of the atmosphere at the surface of land, sea and inland water.
soil_temperature_level_1 Inst -80 +80 oC Soil temperature at level 1 (0 - 7cm), in the middle of layer.
volumetric_soil_water_layer_1 Inst 0 1 - Soil moisture at level 1 (0 - 7cm).
volumetric_soil_water_layer_2 Inst 0 1 - Soil moisture at level 2 (7 - 28cm).
volumetric_soil_water_layer_3 Inst 0 1 - Soil moisture at level 3 (28 - 100cm).
volumetric_soil_water_layer_4 Inst 0 1 - Soil moisture at level 4 (100 - 289cm).
total_cloud_cover Inst 0 1 - Single level field calculated from the cloud occurring at different model levels through the atmosphere.
surface_solar_radiation Acc 0 1300 W/m2 Solar radiation (shortwave) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation.
surface_thermal_radiation Acc 0 1300 W/m2 Thermal radiation (longwave) emitted by the atmosphere and clouds that reaches a horizontal plane at the surface of the Earth.

6. Air Quality Forecast (/airquality)

This is air quality data from the the System for Integrated modeLling of Atmospheric coMposition (SILAM) dataset from FMI, with 20km, hourly coverage with up to 5 days forecast.

6.1 Request

Remember to use your own api_key.

import requests

r = requests.get('https://api.oikolab.com/airquality',
                 params={'lat': 52.378,
                         'lon': 4.9,
                         'api-key': 'your_api_key_here'}
                 )
Parameter Option Type Description Notes
location optional str location such as city name or zipcode for geocoding lookup
lat optional str latitude, if location is not provided
lon optional str longitude, if location is not provided

6.2 Response

coordinates (lat,lon) CO (ug/m3) NO (ug/m3) NO2 (ug/m3) O3 (ug/m3) PM10 (ug/m3) PM25 (ug/m3) SO2 (ug/m3)
2021-09-14 01:00:00 (52.378, 4.9) 295.115 0.022 14.861 21.961 8.218 3.874 0.570
2021-09-14 02:00:00 (52.378, 4.9) 288.835 0.029 12.772 20.483 8.810 4.268 0.576
2021-09-14 03:00:00 (52.378, 4.9) 287.830 0.046 12.211 19.112 9.951 5.091 0.631
2021-09-14 04:00:00 (52.378, 4.9) 290.830 0.091 13.076 17.806 10.778 5.616 0.749
2021-09-14 05:00:00 (52.378, 4.9) 299.165 0.534 17.906 13.135 11.863 6.491 1.079
... ... ... ... ... ... ... ... ...
2021-09-23 20:00:00 (52.378, 4.9) 260.200 0.000 6.960 61.356 1.358 1.075 1.182
2021-09-23 21:00:00 (52.378, 4.9) 257.680 0.000 5.817 65.889 1.929 1.326 1.180
2021-09-23 22:00:00 (52.378, 4.9) 255.795 0.000 5.797 65.087 3.310 1.624 1.290
2021-09-23 23:00:00 (52.378, 4.9) 275.437 0.000 4.160 65.579 5.624 2.154 0.953
2021-09-24 00:00:00 (52.378, 4.9) 301.400 0.000 3.201 68.919 7.656 2.923 0.944

6.3 Available Parameters

Parameter Type Min Max Unit Description Notes
CO Inst 0 1e6 ug/m3 Carbon Monoxide
NO Inst 0 10e3 ug/m3 Nitrogen Oxide
NO2 Inst 0 10e3 ug/m3 Nitrogen Dixoide
O3 Inst 0 10e3 ug/m3 Ozone
PM10 Inst 0 10e3 ug/m3 Particulate Matters (PM) inhalable particles, with diameters that are generally 10 micrometers and smaller
PM25 Inst 0 10e3 ug/m3 Particulate Matters (PM) inhalable particles, with diameters that are generally 2.5 micrometers and smaller
SO2 Inst 0 10e3 ug/m3 Sulfur Dioxide

5. Frequently Asked Questions

How do I download data?

Many researchers are more familiar with Excel than Python or R programming languages. We've recently added the ability to download data in CSV format which can be processed by Excel or Google Spreadsheet.

Don't see the parameters you need?

Please reach out to us at [email protected] - we'd be more than happy to help.