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SWIO-Energy - High-resolution dynamical downscaling experiment outputs data over Reunion and Mauritius islands in the South-West Indian Ocean

This dataset encompasses model outputs generated by the Weather Research and Forecasting (WRF) regional climate model. A high-resolution (~1km) downscaling simulation was performed over two tropical islands, Reunion and Mauritius, situated in the South-West Indian Ocean (SWIO), with initial and boundary conditions provided by the ERA5 reanalysis with a global resolution of 0.25° × 0.25°. The simulation used three nested domains sequentially configured with spatial resolutions of 9, 3, and 1km, respectively, with a downscaling ratio of 3. The physical configurations of this simulation were determined through previous modeling studies and sensitivity tests. The published simulation data currently covers a period of 10 years, starting from 1991 (with the possibility to be extended to 30 years). Over 60 output variables were selected for publication with open access, including those related to the intermittent energy resources (e.g., surface solar radiation and its direct/diffuse components, wind speed/direction at multiple vertical levels, and precipitation, of interest for the run-off-river hydropower), as well as the widely used climatic/meteorological variables (e.g., temperature, pressure, humidity, etc.) at a temporal resolution varying from a day up to 30 minutes. All the data are available through an open-access data server, where an intelligent algorithm is applied to simplify the download process for data users. For the first time, a long-term, high-resolution climate/meteorological dataset covering Reunion and Mauritius has been simulated and published as open-access data, yielding substantial benefits to studies on climate modeling, weather forecasting, and even those related to climate change in the SWIO region. In particular, this dataset will enable a better understanding of the temporal and spatial characteristics of intermittent climate-related energy resources, consequently facilitating their implementation towards a green and low-carbon future.

Simple

Date (Publication)
2023-09-26T20:00:00
Edition
http://localhost:8080/demodem/editioin
Status
On going
Owner
  ENERGY-Lab - ENERGY-Lab ( )
Principal investigator
  ENERGY-Lab - Béatrice Morel
Author
  ENERGY-Lab - Chao Tang
Author
  ENERGY-Lab - Swati Singh
Resource provider
  ENERGY-Lab - Mathieu Delsaut
Resource provider
  ENERGY-Lab - Alexandre Graillet
Maintenance and update frequency
As needed
Theme
  • renewable energy resources
  • meteorological information
  • downscaling
  • regional climate modeling
  • WRF
  • simulation output
Place
Continents, countries, sea regions of the world.
  • Indian Ocean
GEMET - INSPIRE themes, version 1.0
  • Geographical grid systems
Access constraints
Copyright
Use constraints
otherRestictions
Other constraints
CC-BY-4.0
Spatial representation type
Grid
Denominator
1
Metadata language
English
Character set
UTF8
Topic category
  • Geoscientific information
Begin date
1990-01-01
End date
2000-12-31
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S
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W
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Reference system identifier
WGS 1984
Distribution format
  • NetCDF ( CDI : Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/cdi), Conventions : CF-1.6, GRIDTYPE : C )

OnLine resource
Data ( WWW:LINK-1.0-http--link )
OnLine resource
DOI ( WWW:LINK-1.0-http--link )
Hierarchy level
Series
File identifier
a82e3361-e826-4c2f-8bd0-9c852452f41f XML
Metadata language
English
Character set
UTF8
Date stamp
2023-10-03T06:41:56
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
  ENERGY-Lab - Mathieu Delsaut ( )
 
 

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Keywords

WRF downscaling meteorological information regional climate modeling renewable energy resources simulation output
GEMET - INSPIRE themes, version 1.0
Geographical grid systems

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