Back to data list

Data details

UID 886
Name Global Wind Atlas (GWA)
Description Global Wind Atlas (GWA), available online at https://globalwindatlas.info, is a free digital platform that provides a global mapping of wind potential. It is a strategic tool developed by the Technical University of Denmark (DTU Wind Energy) in collaboration with the World Bank and the Energy Sector Management Assistance Program (ESMAP), with the aim of promoting the energy transition and supporting the development of renewable energy sources. The portal provides a set of high-resolution data, up to 250 meters, on average wind speed, power density, and capacity factor, calculated at different heights (10, 50, 100, and 200 meters above ground level). This information makes it possible to identify the most promising areas for wind farm installation, reducing uncertainty in the early stages of analysis and project planning. In addition to interactive maps, the Global Wind Atlas allows users to download data in GIS-compatible formats and to compare regions or countries, making it a valuable resource for researchers, energy planners, and policymakers.
Update Frequency Single Acquisition
Area Global
Temporal 01 Jan. 2008 - 31 Dec. 2017
Timeliness < 1 hr
Data Policy Freely accessible
Data type Observation
Copernicus service product
Data format Multiple
Quality Control Procedure N/A
Dissemination View and Download Service
Inspire themes

Annex III: Atmospheric conditions

Annex III: Meteorological geographical features

Geographical Coverage

Multiple Countries /Not a specific country

Status Operational
State Valid
Created on Nov. 7, 2025, 10:30 a.m.
Last modified on Dec. 1, 2025, 1:54 p.m.

Data Providers

Data provider UID Data provider Role Is network Created on Last modified on
1216 Technical University of Denmark - Wind Energy Originator Nov. 13, 2025, 10:32 a.m. Dec. 1, 2025, 1:54 p.m.

Requirements

Requirement UID Requirement Level of compliace Note Information costs Handling costs Created on Last modified on
433 Meteorological Geographical Features Partially The dataset accuracy could be lower than target. Some datasets need further processing to obtain the final product. Nov. 13, 2025, 10:36 a.m. Nov. 28, 2025, 3:40 p.m.