Probabilistic Wind Modeling
Probabilistic Wind Modeling is a computational framework that characterizes wind climate by quantifying uncertainties in wind speed, direction, and spatial distribution through statistical and probabilistic methods, distinguishing it from deterministic approaches by explicitly accounting for variability and stochasticity in atmospheric flow conditions.
182
Publications
8.7K
Citations
498
Authors
242
Institutions
Publications per year
2017–2026
55
Parents
182
1–5 of 182
498
National Institute of Standards and Technology, United States
6 publications · 409 citations
6
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 498
242
National Institute of Standards and Technology
Gaithersburg, United States
5 h-index
9 publications
491 citations

Istanbul Technical University
Istanbul, Türkiye
5 h-index
11 publications
813 citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
7 publications
325 citations

United States Department of Commerce
Washington, United States
4 h-index
5 publications
554 citations
University of Newcastle Australia
Newcastle, Australia
4 h-index
6 publications
275 citations
Technical University of Denmark
Kongens Lyngby, Denmark
4 h-index
9 publications
343 citations
Texas Tech University
Lubbock, United States
3 h-index
4 publications
235 citations

Southwest Jiaotong University
Chengdu, China
3 h-index
11 publications
342 citations
1–8 of 242
25 publications · 1.1K citations
21
h-index
17 publications · 880 citations
16
h-index
9 publications · 492 citations
9
h-index
7 publications · 717 citations
7
h-index
6 publications · 522 citations
6
h-index
1–5