Published February 1, 2024 | Version v1
Dataset Open

Global wind droughts

  • 1. ROR icon Euro-Mediterranean Center for Climate Change
  • 2. ROR icon RFF-CMCC European Institute on Economics and the Environment
  • 3. ROR icon Carnegie Institution for Science
  • 4. ROR icon Electric Power Research Institute
  • 5. Orca Sciences
  • 6. Breakthrough Energy

Description

This repository contains postprocessed results that are part of the paper "Identification of reliable locations for wind power generation through a global analysis of wind droughts" published in Communications Earth & Environment.

 

The results are provided on a latitude-longitude grid, except where specified, and include:

  • mean wind speed,
  • annual mean wind speed,
  • mean wind power density,
  • annual mean wind power density,
  • minumum annual mean wind power density,
  • energy deficits for seasonal variability,
  • energy deficits for weather variability,
  • energy deficits for wind droughts,
  • wind speed time series at Lat 53.00 Lon 3.00.

 

Code and instructions required to reproduce these results are available in the GitHub repository at https://github.com/eantonini/Global_wind_droughts.

Files

Files (1.1 GB)

Name Size Download all
md5:b33402a42b291c643269e26436e5b54f
182.7 MB Download
md5:94a8b4a2c5971d4df5928c2fcceec5d7
182.7 MB Download
md5:05cff75cbcee4106e05eb7b5c0b71494
8.3 MB Download
md5:447216352aca2c498f919313a253dc95
365.5 MB Download
md5:4879a2233551df3f00d1dc0a3426dc89
365.5 MB Download
md5:b3485d74bd7ae339845b961dba9906e3
8.3 MB Download
md5:a086707ad0d348f0ff8be9f471a0cf42
8.3 MB Download
md5:dea4d08271aaa1b366011f9e5d8a79be
4.2 MB Download
md5:bae74050a2cca73cdf0cf62ec70d5c7d
6.0 MB Download

Additional details

Related works

Is part of
Journal article: 10.1038/s43247-024-01260-7 (DOI)

Software

Repository URL
https://github.com/eantonini/Global_wind_droughts/
Programming language
Python
Development Status
Active