NORA3: Difference between revisions
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[[Category:Online Data]][[Category:Wind Data]] | [[Category:Online Data]][[Category:Wind Data]] | ||
[[ | [[File:NORA3_DomainInWindPRO.png|right|thumb|450px|Spatial domain for the NORA3 mesoscale data in windPRO (we cover approx. 300km from the coastline). Image showing average wind speeds from 2004-2021 - taken from the https://www.windprospecting.com platform.]] | ||
[[ | [[File:NORA3_FullDomain.png|right|thumb|450px|Full domain for the NORA3 hindcast data. Image showing temperature in degrees Kelvin on 2021-12-31.]] | ||
==Introduction== | ==Introduction== | ||
The Norwegian Reanalysis, NORA3, is a high resolution hindcast dataset provided by the Norwegian Meteorological Institute. The model holds data at 3km resolution and covers significant on- and offshore areas around the Baltic Sea, North Sea, the Norwegian Sea and the Barents Sea. NORA3 is downscaling to the 3km resolution with initial conditions and boundary conditions provided from [[ERA5_Gaussian_Grid|ERA5 reanalysis data]]. However, | The Norwegian Reanalysis, NORA3, is a high resolution hindcast dataset provided by the Norwegian Meteorological Institute. The model holds data at 3km resolution and covers significant on- and offshore areas around the Baltic Sea, North Sea, the Norwegian Sea and the Barents Sea. NORA3 is downscaling to the 3km resolution with initial conditions and boundary conditions provided from [[ERA5_Gaussian_Grid|ERA5 reanalysis data]]. However, a surface analysis is also made in order to further refine initial condition at each integration cycle. This is done by assimilating meteorological data from SYNOP and METAR stations, ships and buoys from the MARS database. While some of the mesoscale datasets used in wind energy industry are calculated using the excellent WRF model, here the numerical weather prediction model used is HARMONIE–AROME in its release "Cy 40h1.2". As such, the NORA3 dataset provides a welcome and alternative modelling chain to what is commonly used for wind-energy modelling - providing valuable input for uncertainty modelling and second-opinion analyses. The HARMONIE-AROME model is developed and used by many European meteorological institutes. | ||
===Dataset Overview=== | ===Dataset Overview=== | ||
* '''Content:''' Limited feature and | * '''Content:''' Limited feature and spatial-domain subset of the NORA3 mesoscale dataset <br>(we provide about 760.000 nodes in a distance of approx. 300km from the coastlines). | ||
* '''Spatial resolution:''' 3km | * '''Spatial resolution:''' 3km | ||
* '''Temporal resolution:''' Timestep 1 hour | * '''Temporal resolution:''' Timestep 1 hour | ||
* '''Coverage:''' See the map to the right | * '''Coverage:''' See the map to the right | ||
* '''Period:''' In windPRO: | * '''Period:''' In windPRO: 20+ years of data from 1999-01-01 to 2021-12-31<br>(source data dates back to 1984 from Norwegian Meteorological Institute) | ||
* '''Update schedule:''' Unknown.<br>We will update this dataset when | * '''Update schedule:''' Unknown (but is is our expectation that data is updated with a 3-4 month of delay from current date, due to ERA5 availability and computational demands).<br>We will update this dataset when more recent data becomes available from the Norwegian Meteorological Institute.<br> | ||
==Usage Notes== | ==Usage Notes== | ||
# '''I am interested in other parameters and other areas. Where can I get those?''' The data is freely available from the thredds server at the Norwegian Meteorological Institute (https://thredds.met.no/thredds/catalog.html). | # '''I am interested in other parameters and other areas. Where can I get those?''' The data is freely available from the thredds server at the Norwegian Meteorological Institute (https://thredds.met.no/thredds/catalog.html). | ||
# '''How can I get turbulence intensities from the NORA3 data?''' | # '''How can I get turbulence intensities from the NORA3 data?''' This parameter is not available - but it may be possible to come up with an estimate by using the gust-value provided (we have not tried this - yet). | ||
# '''I am already using EMD-WRF Europe+ wind speed data. How does NORA3 perform in comparison?''' An evaluation memo is available - comparing modelling-data from NORA3, [[New_European_Wind_Atlas_(NEWA)|NEWA]], [[EMD-WRF_Europe%2B|EMD-WRF EUR+]] and [[ERA5_Gaussian_Grid|ERA5]] with 74 high-quality and tall masts - access the validation-one-pager [https://help.emd.dk/mediawiki/images/5/5d/20220505_AccuracyNORA3WindSpeeds.pdf here]. | |||
# '''How do I find more on model details and model performance?''' See the external references below. Comprehensive model documentation and validation on offshore wind data is available. | |||
==Dataset Parameters== | ==Dataset Parameters== | ||
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==License and Attribution== | ==License and Attribution== | ||
This dataset is a subset of the NORA3 mesoscale dataset | This dataset is a subset of the NORA3 mesoscale dataset. The full NORA3 dataset is freely available from the Norwegian Meteorological Institute. It has been released under the Norwegian License for Open Government Data (NLOD) 2.0 and the Creative Commons By Attribution 4.0 license (CC-BY-40) - https://data.norge.no/nlod/en/2.0/ and https://creativecommons.org/licenses/by/4.0/. As a part of the license conditions, the data-owner requires an attribution, such as: | ||
<pre> | <pre> | ||
Source: | Source: | ||
NORA3 data obtained from the Norwegian Meteorological Institute. | NORA3 data obtained from the Norwegian Meteorological Institute. | ||
Distribution through EMD and windPRO - EMD International A/S, | Distribution through EMD and windPRO - EMD International A/S, 2022. License: NLOD 2.0 and CC-BY-40. | ||
</pre> | </pre> | ||
Line 90: | Line 91: | ||
== External Links and References== | == External Links and References== | ||
* Norwegian Meteorological Institute - [https://www.met.no/en here ] | * Norwegian Meteorological Institute - the creator of the NORA3 data - [https://www.met.no/en here ] | ||
* NORA3 - thredds server at the Norwegian Meteorological | * NORA3 - thredds server at the Norwegian Meteorological Institute - [https://thredds.met.no/thredds/catalog.html here ] | ||
* NORA3 Model Description Publication in Journal of Applied Meteorology and Climatology | * NORA3 Model Description Publication by Haakenstad et al - in Journal of Applied Meteorology and Climatology - [https://doi.org/10.1175/JAMC-D-21-0029.1 here] | ||
* NORA3 Validation Paper | * NORA3 Validation Paper by Solbrekke, Sorteberg & Haakenstad - in Wind Energy Science - [https://help.emd.dk/mediawiki/images/a/a5/Solbrekke_3kmNorwegianReanalysisNORA3_Validation.pdf here] | ||
==Acknowledgement and Credits== | ==Acknowledgement and Credits== | ||
# Credits and Acknowledgement: The Norwegian Meteorological Institute and the Norwegian public for the release of the NORA3 hindcast dataset as a free and open dataset. | # Credits and Acknowledgement: The Norwegian Meteorological Institute and the Norwegian public for the release of the NORA3 hindcast dataset as a free and open dataset. |
Latest revision as of 10:04, 17 May 2022
Introduction
The Norwegian Reanalysis, NORA3, is a high resolution hindcast dataset provided by the Norwegian Meteorological Institute. The model holds data at 3km resolution and covers significant on- and offshore areas around the Baltic Sea, North Sea, the Norwegian Sea and the Barents Sea. NORA3 is downscaling to the 3km resolution with initial conditions and boundary conditions provided from ERA5 reanalysis data. However, a surface analysis is also made in order to further refine initial condition at each integration cycle. This is done by assimilating meteorological data from SYNOP and METAR stations, ships and buoys from the MARS database. While some of the mesoscale datasets used in wind energy industry are calculated using the excellent WRF model, here the numerical weather prediction model used is HARMONIE–AROME in its release "Cy 40h1.2". As such, the NORA3 dataset provides a welcome and alternative modelling chain to what is commonly used for wind-energy modelling - providing valuable input for uncertainty modelling and second-opinion analyses. The HARMONIE-AROME model is developed and used by many European meteorological institutes.
Dataset Overview
- Content: Limited feature and spatial-domain subset of the NORA3 mesoscale dataset
(we provide about 760.000 nodes in a distance of approx. 300km from the coastlines). - Spatial resolution: 3km
- Temporal resolution: Timestep 1 hour
- Coverage: See the map to the right
- Period: In windPRO: 20+ years of data from 1999-01-01 to 2021-12-31
(source data dates back to 1984 from Norwegian Meteorological Institute) - Update schedule: Unknown (but is is our expectation that data is updated with a 3-4 month of delay from current date, due to ERA5 availability and computational demands).
We will update this dataset when more recent data becomes available from the Norwegian Meteorological Institute.
Usage Notes
- I am interested in other parameters and other areas. Where can I get those? The data is freely available from the thredds server at the Norwegian Meteorological Institute (https://thredds.met.no/thredds/catalog.html).
- How can I get turbulence intensities from the NORA3 data? This parameter is not available - but it may be possible to come up with an estimate by using the gust-value provided (we have not tried this - yet).
- I am already using EMD-WRF Europe+ wind speed data. How does NORA3 perform in comparison? An evaluation memo is available - comparing modelling-data from NORA3, NEWA, EMD-WRF EUR+ and ERA5 with 74 high-quality and tall masts - access the validation-one-pager here.
- How do I find more on model details and model performance? See the external references below. Comprehensive model documentation and validation on offshore wind data is available.
Dataset Parameters
A total of 21 parameters are available from the NORA3 mesoscale data-subset in windPRO. Wind speeds and directions are available in 6 heights from 10m to 500m agl.
Parameter(s) | Description | Unit |
---|---|---|
time | UTC time stamp | YYYY-MM-DD HH:MM |
temp.2m | Temperature in 2m height | degC |
rh.2m | Relative humidity in 2m height | % |
press.2m | Surface air pressure | Pa |
gust.10m | Wind gust (maximum wind) in 10m agl | m/s |
ws.10m, ws.20m, ws.50m, ws.100m, ws.250m, ws.500m | Wind speed in 10m, 20m, 50m, 100m, 250m and 500m agl | m/s |
wdir.10m, wdir.20m, wdir.50m, wdir.100m, wdir.250m, wdir.500m | Wind direction in 10m, 20m, 50m, 100m, 250m and 500m agl | deg |
precipAcc | Accumulated total precipitation | kg/m2/h |
snowAcc | Total accumulated solid precipitation (snow+graupel+hail) | kg/m2/h |
lwcss | Snow Water Equivivalent (SWE) | kg/m2/h |
PBL | Planetary boundary layer height | m |
License and Attribution
This dataset is a subset of the NORA3 mesoscale dataset. The full NORA3 dataset is freely available from the Norwegian Meteorological Institute. It has been released under the Norwegian License for Open Government Data (NLOD) 2.0 and the Creative Commons By Attribution 4.0 license (CC-BY-40) - https://data.norge.no/nlod/en/2.0/ and https://creativecommons.org/licenses/by/4.0/. As a part of the license conditions, the data-owner requires an attribution, such as:
Source: NORA3 data obtained from the Norwegian Meteorological Institute. Distribution through EMD and windPRO - EMD International A/S, 2022. License: NLOD 2.0 and CC-BY-40.
Required windPRO License and Modules
This dataset can be accessed from the most recent version of windPRO given that you hold an active service agreement and a license to the following modules:
- BASIS
- METEO
External Links and References
- Norwegian Meteorological Institute - the creator of the NORA3 data - here
- NORA3 - thredds server at the Norwegian Meteorological Institute - here
- NORA3 Model Description Publication by Haakenstad et al - in Journal of Applied Meteorology and Climatology - here
- NORA3 Validation Paper by Solbrekke, Sorteberg & Haakenstad - in Wind Energy Science - here
Acknowledgement and Credits
- Credits and Acknowledgement: The Norwegian Meteorological Institute and the Norwegian public for the release of the NORA3 hindcast dataset as a free and open dataset.