Preprints
https://doi.org/10.5194/egusphere-2024-228
https://doi.org/10.5194/egusphere-2024-228
04 Mar 2024
 | 04 Mar 2024

Multi-scale variability of southeast Australian wind resources

Claire Louise Vincent and Andrew J. Dowdy

Abstract. There is growing need to understand wind variability in various regions through the world, including in relation to wind energy resources. Here we examine wind variability in southeast Australia in relation to the El Niño-Southern Oscillation (ENSO) as a dominant mode of atmospheric and oceanic variability for this region. The analysis covers variability from seasonal to diurnal time scales for both land and maritime regions of relevance to wind energy generation. Wind speeds were obtained from the 12 km grid-length BARRA reanalysis produced for the Australian region, with focus on wind at a typical hub-height of 100 m above the surface. Results show spatiotemporal variations in how ENSO influences wind speeds, including consistency in these variations over the wind speed distribution. For example, ENSO-related variations in mean winds were mostly similar in sign to ENSO-related variations in weak winds, noting uncertainties for strong winds given available data. Diurnal variability in wind speed was larger for summer than winter and for land than ocean regions, with the diurnal cycle maxima typically occurring in the afternoon and evening rather than morning, plausibly associated with sensible heating of air above land following solar radiation. Localised variations in the diurnal cycle were identified around mountains and coastal regions. The results show some indication of ENSO influences on the diurnal variability. These findings are intended to help enhance scientific understanding on wind variability including in relation to ENSO, as well as contribute information towards practical guidance in planning such as for use in energy sector applications.

Claire Louise Vincent and Andrew J. Dowdy

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-228', Anonymous Referee #1, 07 Mar 2024
  • RC2: 'Comment on egusphere-2024-228', Anonymous Referee #2, 20 Mar 2024
Claire Louise Vincent and Andrew J. Dowdy
Claire Louise Vincent and Andrew J. Dowdy

Viewed

Total article views: 213 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
168 32 13 213 4 5
  • HTML: 168
  • PDF: 32
  • XML: 13
  • Total: 213
  • BibTeX: 4
  • EndNote: 5
Views and downloads (calculated since 04 Mar 2024)
Cumulative views and downloads (calculated since 04 Mar 2024)

Viewed (geographical distribution)

Total article views: 234 (including HTML, PDF, and XML) Thereof 234 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 Apr 2024
Download
Short summary
We investigated how wind speed at the height of a typical wind turbine changes during El Nino and La Nina years, and with season and time of day in southeast Australia. We found that El Niño and La Niña can cause average wind speed differences of around 1 m/s in some regions. The highest winds speeds occur in the afternoon or evening around mountains or the coast, and during the night inland. The results help show how strategic placement of wind turbines can balance electricity generation.