![ECMWF/ERA5/MONTHLY](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_MONTHLY_sample.png) Dataset Availability : 1979-01-01T00:00:00Z--2020-06-01T00:00:00Z Dataset Producer : [ECMWF / Copernicus Climate Change Service](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=overview) Cadence : 1 Month Tags : [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf) [era5](https://developers.google.com/earth-engine/datasets/tags/era5) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure) [reanalysis](https://developers.google.com/earth-engine/datasets/tags/reanalysis) [surface](https://developers.google.com/earth-engine/datasets/tags/surface) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate) [wind](https://developers.google.com/earth-engine/datasets/tags/wind) #### Description ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 MONTHLY provides aggregated values for each month for seven ERA5 climate reanalysis parameters: 2m air temperature, 2m dewpoint temperature, total precipitation, mean sea level pressure, surface pressure, 10m u-component of wind and 10m v-component of wind. Additionally, monthly minimum and maximum air temperature at 2m has been calculated based on the hourly 2m air temperature data. Monthly total precipitation values are given as monthly sums. All other parameters are provided as monthly averages. ERA5 data is available from 1940 to three months from real-time, the version in the EE Data Catalog is available from 1979. More information and more ERA5 atmospheric parameters can be found at the [Copernicus Climate Data Store](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=overview). Provider's Note: Monthly aggregates have been calculated based on the ERA5 hourly values of each parameter. ### Bands **Bands** Pixel size: 27830 meters (all bands) | Name | Units | Min | Max | Pixel Size | Description | |---|---|---|---|---|---| | `mean_2m_air_temperature` | K | 224\* | 304\* | 27830 meters | Average air temperature at 2m height (monthly average) | | `minimum_2m_air_temperature` | K | 213.1\* | 298.9\* | 27830 meters | Minimum air temperature at 2m height (monthly minimum) | | `maximum_2m_air_temperature` | K | 233.8\* | 314.3\* | 27830 meters | Maximum air temperature at 2m height (monthly maximum) | | `dewpoint_2m_temperature` | K | 219.8\* | 297.6\* | 27830 meters | Dewpoint temperature at 2m height (monthly average) | | `total_precipitation` | m | 0\* | 0.4\* | 27830 meters | Total precipitation (monthly sums) | | `surface_pressure` | Pa | 65256.9\* | 102427\* | 27830 meters | Surface pressure (monthly average) | | `mean_sea_level_pressure` | Pa | 98206.4\* | 102943\* | 27830 meters | Mean sea level pressure (monthly average) | | `u_component_of_wind_10m` | m/s | -8.7\* | 8.7\* | 27830 meters | 10m u-component of wind (monthly average) | | `v_component_of_wind_10m` | m/s | -6.8\* | 6.8\* | 27830 meters | 10m v-component of wind (monthly average) | \* estimated min or max value ### Image Properties **Image Properties** | Name | Type | Description | |---|---|---| | month | INT | Month of the data | | year | INT | Year of the data | ### Terms of Use **Terms of Use** Please acknowledge the use of ERA5 as stated in the [Copernicus C3S/CAMS License agreement](https://apps.ecmwf.int/datasets/licences/copernicus/): - 5.1.1 Where the Licensee communicates or distributes Copernicus Products to the public, the Licensee shall inform the recipients of the source by using the following or any similar notice: "Generated using Copernicus Climate Change Service information (Year)". - 5.1.2 Where the Licensee makes or contributes to a publication or distribution containing adapted or modified Copernicus Products, the Licensee shall provide the following or any similar notice: "Contains modified Copernicus Climate Change Service information (Year)". - 5.1.3 Any such publication or distribution covered by clauses 5.1.1 and 5.1.2 shall state that neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or Data it contains. ### Citations Citations: - Copernicus Climate Change Service (C3S) (2017): ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service Climate Data Store (CDS), (date of access), ### Explore with Earth Engine > [!NOTE] > **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine) ### Code Editor (JavaScript) ```javascript var dataset = ee.ImageCollection('ECMWF/ERA5/MONTHLY'); var visualization = { bands: ['mean_2m_air_temperature'], min: 250.0, max: 320.0, palette: [ '000080', '0000d9', '4000ff', '8000ff', '0080ff', '00ffff', '00ff80', '80ff00', 'daff00', 'ffff00', 'fff500', 'ffda00', 'ffb000', 'ffa400', 'ff4f00', 'ff2500', 'ff0a00', 'ff00ff', ] }; Map.setCenter(22.2, 21.2, 0); Map.addLayer(dataset, visualization, 'Monthly average air temperature [K] at 2m height'); ``` Python setup See the [Python Environment](https://developers.google.com/earth-engine/guides/python_install) page for information on the Python API and using `geemap` for interactive development. ```python import ee import geemap.core as geemap ``` ### Colab (Python) ```python dataset = ee.ImageCollection('ECMWF/ERA5/MONTHLY') visualization = { 'bands': ['mean_2m_air_temperature'], 'min': 250.0, 'max': 320.0, 'palette': [ '000080', '0000d9', '4000ff', '8000ff', '0080ff', '00ffff', '00ff80', '80ff00', 'daff00', 'ffff00', 'fff500', 'ffda00', 'ffb000', 'ffa400', 'ff4f00', 'ff2500', 'ff0a00', 'ff00ff', ], } m = geemap.Map() m.set_center(22.2, 21.2, 0) m.add_layer( dataset, visualization, 'Monthly average air temperature [K] at 2m height' ) m ``` [Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/ECMWF/ECMWF_ERA5_MONTHLY) [ERA5 Monthly Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_MONTHLY) ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 MONTHLY provides aggregated values for each month for seven ERA5 climate reanalysis parameters: ... ECMWF/ERA5/MONTHLY, climate,copernicus,dewpoint,ecmwf,era5,precipitation,pressure,reanalysis,surface,temperature,weather-and-climate,wind 1979-01-01T00:00:00Z/2020-06-01T00:00:00Z -90 -180 90 180 Google Earth Engine https://developers.google.com/earth-engine/datasets - [](https://doi.org/https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=overview) - [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_MONTHLY)