Weather data - Revision history

Sebastian Gonzato: /* Overview */

2021-01-31T15:41:24Z

‎Overview

Sebastian Gonzato: /* Overview */

2021-01-31T15:40:49Z

‎Overview

Antoine Dubois: /* Overview */

2019-09-11T06:51:26Z

‎Overview

Antoine Dubois: /* Overview */

2019-09-11T06:47:31Z

‎Overview

Fabian Neumann: /* Projects to turn weather data into renewable power availability time series */

2018-11-17T21:58:06Z

‎Projects to turn weather data into renewable power availability time series

Fabian Neumann: /* Projects to turn weather data into renewable power availability time series */

2018-11-17T21:57:47Z

‎Projects to turn weather data into renewable power availability time series

Fabian Neumann: Created page with "= Overview = Weather data can be used to generate profiles for wind, solar and hydro power plants. Re-analysis or “hindcast” projects use state-of the art weather fo..."

2018-11-17T21:56:31Z

Created page with "= Overview = Weather data can be used to generate profiles for wind, solar and hydro power plants. Re-analysis or “hindcast” projects use state-of the art weather fo..."

New page

= Overview =

Weather data can be used to generate profiles for wind, solar and hydro power plants. Re-analysis or “hindcast” projects use state-of the art weather forecast models with long time series of weather observations. They create consistent series of weather data, often of decades and with a global scope. [http://reanalyses.org/ Reanalysis.org] and [https://climatedataguide.ucar.edu/climate-data NCAR] provide a helpful overview of re-analysis models. Data are usually provided in GRIB or NetCDF format and can be very large in size (100s of GB).

*OPSD compiled a [http://open-power-system-data.org/data-sources#9_Weather_data list of weather data sources] and provides [http://data.open-power-system-data.org/weather_data a script] to download  customized subsets of the MERRA-2 dataset
*[https://renewables.ninja Renewables.ninja] allows users to download weather data (wind speed, solar irradiance, temperature) for specific locations based on MERRA-2 and satellite imaging data.
*The Hans-Ertel-Centre for Weather Research has published two preliminary reanalysis [https://www.herz-tb4.uni-bonn.de/index.php/projectdata/reanalysisdata data sets] (COSMO-REA6 and COSMO-REA2) containing the most often requested variables that may be used without any restrictions
*[http://www.cosmo-model.org/ COSMO (Consortium for Small-scale Modelling)], simulation model for weather in Europe, used for the official weather forecasts. The model is free to use for research applications

You may have a chance to get data directly from national weather services or participating universities/institutions and thus avoid having to run it yourself. For Germany, the current resolution is 2.8 km.

*The Climate Data Center (CDC) of the German Weather Service (DWD) has puslished [ftp://ftp-cdc.dwd.de/pub/CDC/ a dataset] of<br/>
**observed parameters from DWD stations,
**derived parameters at the station locations,
**gridded fields covering Germany,
**regional averages for Germany and its federal states,
**gridded fields covering Europe,
**global climate station data
**available at hourly, daily, monthly, annual or multi-annual resolution.
**The data is useable without restrictions provided the source "Deutscher Wetterdienst" is mentioned.<br/>

*[http://rda.ucar.edu/datasets/ds094.1/ National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS)], worldwide hourly reanalysis weather data, currently 0.2 deg spatial resolution. You need an account to get access to the downloads, but as the data is from a public US institution, it is free.

= Projects to turn weather data into renewable power availability time series =

Various projects exist that transform weather data into power availability time series for different solar/wind power plant model types, such as the [http://arxiv.org/abs/1409.3353 Aarhus University RE Atlas], a light weight open source alternative of the former [https://github.com/FRESNA/atlite atlite], the [https://github.com/oemof/feedinlib oemof feedinlib] or [https://renewables.ninja/ renewables.ninja].

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 *The Hans-Ertel-Centre for Weather Research has published two preliminary reanalysis data sets ([http://reanalysis.meteo.uni-bonn.de/?COSMO-REA6 COSMO-REA6] and [http://reanalysis.meteo.uni-bonn.de/?COSMO-REA2 COSMO-REA2]) containing the most often requested variables that may be used without any restrictions
 *[http://www.cosmo-model.org/ COSMO (Consortium for Small-scale Modelling)], simulation model for weather in Europe, used for the official weather forecasts. The model is free to use for research applications<br/>
-*~30 years worth of [[:File:https://www.entsoe.eu/outlooks/seasonal/|RES availability factors from ENTSO-E]](click on PECD data).<br/>
+*~30 years worth of [https://www.entsoe.eu/outlooks/seasonal/ RES availability factors from ENTSO-E] (click on PECD data).<br/>
 You may have a chance to get data directly from national weather services or participating universities/institutions and thus avoid having to run it yourself. For Germany, the current resolution is 2.8 km.<br/>

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-Weather data can be used to generate profiles for wind, solar and hydro power plants. Re-analysis or “hindcast”&nbsp;projects use state-of the art weather forecast models with long time series of weather observations. They create consistent&nbsp;series of weather data, often of decades and with a global scope. [http://reanalyses.org/ Reanalysis.org]&nbsp;and [https://climatedataguide.ucar.edu/climate-data NCAR] provide a helpful overview of re-analysis models. Data are usually provided in GRIB or NetCDF format and can be very large in size (100s of GB).
+= Overview<br/> =
 *OPSD compiled a [http://open-power-system-data.org/data-sources#9_Weather_data list of weather data sources] and provides [http://data.open-power-system-data.org/weather_data a script] to download&nbsp; customized subsets of the MERRA-2 dataset
 *[https://renewables.ninja Renewables.ninja] allows users to download weather data (wind speed, solar irradiance, temperature) for specific locations based on MERRA-2 and satellite imaging data.
 *The Hans-Ertel-Centre for Weather Research has published two preliminary reanalysis data sets ([http://reanalysis.meteo.uni-bonn.de/?COSMO-REA6 COSMO-REA6] and [http://reanalysis.meteo.uni-bonn.de/?COSMO-REA2 COSMO-REA2]) containing the most often requested variables that may be used without any restrictions
-*[http://www.cosmo-model.org/ COSMO (Consortium for Small-scale Modelling)], simulation model for weather in Europe, used for the official weather forecasts. The model is free to use for research applications
+*[http://www.cosmo-model.org/ COSMO (Consortium for Small-scale Modelling)], simulation model for weather in Europe, used for the official weather forecasts. The model is free to use for research applications<br/>
-You may have a chance to get data directly from national weather services or participating universities/institutions and thus avoid having to run it yourself. For Germany, the current resolution is 2.8 km.
+You may have a chance to get data directly from national weather services or participating universities/institutions and thus avoid having to run it yourself. For Germany, the current resolution is 2.8 km.<br/>
 *The [https://cdc.dwd.de/portal/ Climate Data Center (CDC)] of the German Weather Service (DWD) has puslished [ftp://ftp-cdc.dwd.de/pub/CDC/ a dataset] of<br/>

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 *[http://rda.ucar.edu/datasets/ds094.1/ National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS)], worldwide hourly reanalysis weather data, currently 0.2 deg spatial resolution. You need an account to get access to the downloads, but as the data is from a public US institution, it is free.
 = Projects to turn weather data into renewable power availability time series =
-Various projects exist that transform weather data into power availability time series for different solar/wind power plant model types, such as
+Various projects exist that transform weather data into power availability time series for different solar/wind power plant model types:
 * [http://arxiv.org/abs/1409.3353 Aarhus University RE Atlas]
-* [https://github.com/FRESNA/atlite atlite]
+*[http://arxiv.org/abs/1409.3353 Aarhus University RE Atlas]
-* [https://github.com/oemof/feedinlib oemof feedinlib]
+*[https://github.com/FRESNA/atlite atlite]
-* [https://renewables.ninja/ renewables.ninja]
+*[https://github.com/oemof/feedinlib oemof feedinlib]

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 = Overview =
@@ Line 11: / Line 12: @@
 You may have a chance to get data directly from national weather services or participating universities/institutions and thus avoid having to run it yourself. For Germany, the current resolution is 2.8 km.
-*The Climate Data Center (CDC) of the German Weather Service (DWD) has puslished [ftp://ftp-cdc.dwd.de/pub/CDC/ a dataset] of<br/>
+*The [https://cdc.dwd.de/portal/ Climate Data Center (CDC)] of the German Weather Service (DWD) has puslished [ftp://ftp-cdc.dwd.de/pub/CDC/ a dataset] of<br/>
 **observed parameters from DWD stations,
 **derived parameters at the station locations,