EMD-Global Wind Data (based on ERA-Interim): Difference between revisions
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[[Category:Online Data]][[Category:Wind Data]] | [[Category:Online Data]][[Category:Wind Data]] | ||
[[Image:EraInterim.png|right|300px|thumb|150 m wind speeds for a part of the ERA-Interim Domain]] | [[Image:EraInterim.png|right|300px|thumb|150 m wind speeds for a part of the ERA-Interim Domain]] | ||
The ERA-Interim | The "EMD-Global Wind Data (based on ERA-Interim)" is a global dataset processed by EMD with the purpose of providing a global dataset for use in wind farm projects. It contains wind data (speed and direction) as well as temperatures and pressures at typical wind turbine hub heights from 10 m to 200 m. | ||
''' | == Data Source == | ||
The ERA-Interim dataset has been used as the basis of the European EMD-ConWx Meso Data dataset, which provides reanalyzed ERA-Interim data in an increased spatial resolution. See the details on that dataset [http://help.emd.dk/mediawiki/index.php?title=EMD-ConWx_Meso_Data_Europe here]. | The "EMD-Global Wind Data (based on ERA-Interim)" dataset is derived and processed from the ERA-Interim dataset. The ERA-Interim data is a recent global reanalysis dataset from the European Centre for Medium-Range Weather Forecasts (ECMWF). The full ERA-Interim reanalysis dataset holds a variety of surface parameters for weather conditions as well as ocean-wave and land-surface conditions. A number of parameters describing the atmospheric conditions are also available. The dataset processed and provided by EMD covers a small processed subset, with focus on parameters relevant for wind-energy purposes. | ||
== Usage Notes: == | |||
* '''The EMD-Global Wind Data (based on ERA-Interim) is discontinued at the end of 2019''': The last month with ERA-Interim data was august 2019 as ECMWF has discontinued this dataset and replaced it with the [[ERA5_(Gaussian_Grid)|ERA5 Data]] and [[ERA5(T)_Rectangular_Grid|ERA5T Data]]. EMD has ceased to update the EMD-ConWx data as the source data is not avaialble anymore. The [[EMD-WRF Europe+ (ERA5)]] dataset is already available as the natural, higher-quality successor for the EMD-ConWx dataset. Find more information [[EMD-WRF_Europe%2B|here]]. | |||
* The ERA-Interim dataset has been used as the basis of the European EMD-ConWx Meso Data dataset, which provides reanalyzed ERA-Interim data in an increased spatial resolution. See the details on that dataset [http://help.emd.dk/mediawiki/index.php?title=EMD-ConWx_Meso_Data_Europe here]. | |||
== Resolution, Coverage and Availability == | == Resolution, Coverage and Availability == | ||
The model grid available to external data-users is 0.702 degree latitude and 0.703 degree longitude. | * Spatial Resolution: The model grid available to external data-users is 0.702 degree latitude and 0.703 degree longitude. Coverage is global. | ||
It holds four daily values in a period from 1979 until | * Temporal Resolution: It holds four daily values in a period from 1979 until august 2019. | ||
== Required Modules / Licenses == | == Required Modules / Licenses == | ||
To access the ERA time series data the following | To access the ERA time series data the following modules are required within in your WindPRO licence: | ||
* | * BASIS | ||
* METEO | * METEO | ||
* MCP | * MCP | ||
Downloading of data is unrestricted for licensed users, however a "fair use" policy applies. | Downloading of the data is unrestricted for licensed users, however a "fair use" policy applies. | ||
== Data Processing and Dataset Parameters == | == Data Processing and Dataset Parameters == | ||
EMD International has processed the raw ERA-Interim data by a simple, proprietary downscaling-procedure to | EMD International has processed the raw ERA-Interim data by a simple, proprietary downscaling-procedure to provide the data at different physical heights covering 10 m - 200 m. Currently, the following parameters are available in the downloadable time series in WindPRO. | ||
<center> | <center> | ||
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|- | |- | ||
|time | |time | ||
|UTC time stamp | |UTC time stamp (YYYY-MM-DD hh:mm) | ||
|- | |- | ||
|wSpeed.x | |wSpeed.x | ||
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== References == | == References == | ||
An open-access journal paper is available. This paper by D.P.Dee et al "The ERA-Interim reanalysis: configuration and performance of the data assimilation system" describes the dataset and configurations in more detail. Download your copy in pdf-format [http://onlinelibrary.wiley.com/doi/10.1002/qj.828/abstract here]. | An open-access journal paper is available. This paper by D.P.Dee ''et al.'', "The ERA-Interim reanalysis: configuration and performance of the data assimilation system" describes the dataset and configurations in more detail. Download your copy in pdf-format [http://onlinelibrary.wiley.com/doi/10.1002/qj.828/abstract here]. | ||
== External Links == | == External Links == | ||
Homepage of ERA-Interim: [http://www.ecmwf.int/research/ | * Homepage of ERA-Interim: [http://www.ecmwf.int/en/research/climate-reanalysis/era-interim http://www.ecmwf.int/en/research/climate-reanalysis/era-interim] | ||
* Availability of ERA-Interim data: http://apps.ecmwf.int/datasets/data/interim-full-daily/ | |||
== Acknowledgement and License == | == Acknowledgement and License == | ||
''Credits'': The European Centre for Medium-Range Weather Forecasts for the ERA-Interim data.<br> | ''Credits'': The European Centre for Medium-Range Weather Forecasts for the ERA-Interim data.<br> | ||
''License'': This data is distributed according to the license agreement for ECMWF archive products, [http://data-portal.ecmwf.int/data/d/license/interim/ see here].<br> | ''License'': This data is distributed according to the license agreement for ECMWF archive products, [http://data-portal.ecmwf.int/data/d/license/interim/ see here].<br> | ||
''Acknowledgement'': ECMWF requests that the origin of the ECMWF archive product (ERA-Interim) is acknowledged in any scientific publications arising out of the use of the products (see | ''Acknowledgement'': ECMWF requests that the origin of the ECMWF archive product (ERA-Interim) is acknowledged in any scientific publications arising out of the use of the products (see Section #5 in the ECMWF archive product license conditions). |
Latest revision as of 12:50, 24 November 2021
The "EMD-Global Wind Data (based on ERA-Interim)" is a global dataset processed by EMD with the purpose of providing a global dataset for use in wind farm projects. It contains wind data (speed and direction) as well as temperatures and pressures at typical wind turbine hub heights from 10 m to 200 m.
Data Source
The "EMD-Global Wind Data (based on ERA-Interim)" dataset is derived and processed from the ERA-Interim dataset. The ERA-Interim data is a recent global reanalysis dataset from the European Centre for Medium-Range Weather Forecasts (ECMWF). The full ERA-Interim reanalysis dataset holds a variety of surface parameters for weather conditions as well as ocean-wave and land-surface conditions. A number of parameters describing the atmospheric conditions are also available. The dataset processed and provided by EMD covers a small processed subset, with focus on parameters relevant for wind-energy purposes.
Usage Notes:
- The EMD-Global Wind Data (based on ERA-Interim) is discontinued at the end of 2019: The last month with ERA-Interim data was august 2019 as ECMWF has discontinued this dataset and replaced it with the ERA5 Data and ERA5T Data. EMD has ceased to update the EMD-ConWx data as the source data is not avaialble anymore. The EMD-WRF Europe+ (ERA5) dataset is already available as the natural, higher-quality successor for the EMD-ConWx dataset. Find more information here.
- The ERA-Interim dataset has been used as the basis of the European EMD-ConWx Meso Data dataset, which provides reanalyzed ERA-Interim data in an increased spatial resolution. See the details on that dataset here.
Resolution, Coverage and Availability
- Spatial Resolution: The model grid available to external data-users is 0.702 degree latitude and 0.703 degree longitude. Coverage is global.
- Temporal Resolution: It holds four daily values in a period from 1979 until august 2019.
Required Modules / Licenses
To access the ERA time series data the following modules are required within in your WindPRO licence:
- BASIS
- METEO
- MCP
Downloading of the data is unrestricted for licensed users, however a "fair use" policy applies.
Data Processing and Dataset Parameters
EMD International has processed the raw ERA-Interim data by a simple, proprietary downscaling-procedure to provide the data at different physical heights covering 10 m - 200 m. Currently, the following parameters are available in the downloadable time series in WindPRO.
Parameter | Description |
---|---|
time | UTC time stamp (YYYY-MM-DD hh:mm) |
wSpeed.x | Wind speeds [m/s] at different physical levels (x). Heights (x): 10m. 25m, 50m, 75m, 100m, 150m, 200m |
wDir.x | Wind directions [Deg] at different physical levels (x). Heights (x): 10m. 25m, 50m, 75m, 100m, 150m, 200m |
temp.x | Temperatures [Deg C] at different physical levels (x). Heights (x): 10m. 25m, 50m, 75m, 100m, 150m, 200m |
pressure.x | Pressures [hPa] at different physical levels (x). Heights (x): 10m. 25m, 50m, 75m, 100m, 150m, 200m |
References
An open-access journal paper is available. This paper by D.P.Dee et al., "The ERA-Interim reanalysis: configuration and performance of the data assimilation system" describes the dataset and configurations in more detail. Download your copy in pdf-format here.
External Links
- Homepage of ERA-Interim: http://www.ecmwf.int/en/research/climate-reanalysis/era-interim
- Availability of ERA-Interim data: http://apps.ecmwf.int/datasets/data/interim-full-daily/
Acknowledgement and License
Credits: The European Centre for Medium-Range Weather Forecasts for the ERA-Interim data.
License: This data is distributed according to the license agreement for ECMWF archive products, see here.
Acknowledgement: ECMWF requests that the origin of the ECMWF archive product (ERA-Interim) is acknowledged in any scientific publications arising out of the use of the products (see Section #5 in the ECMWF archive product license conditions).