Downscaling Daily Wind Speed with Bayesian Deep Learning for Climate Monitoring

Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang

Open source

DOI
10.21203/rs.3.rs-1999403/v1
Published
2022-08-30
Container
Not recorded
Publisher
Research Square Platform LLC
Open access
unknown

Credibility signals

uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-1999403/v1,
  title = {Downscaling Daily Wind Speed with Bayesian Deep Learning for Climate Monitoring},
  author = {Firas Gerges and Michel C. Boufadel and Elie Bou-Zeid and Hani Nassif and Jason T. L. Wang},
  year = {2022},
  doi = {10.21203/rs.3.rs-1999403/v1},
  url = {https://doi.org/10.21203/rs.3.rs-1999403/v1}
}

RIS

TY  - JOUR
TI  - Downscaling Daily Wind Speed with Bayesian Deep Learning for Climate Monitoring
AU  - Firas Gerges
AU  - Michel C. Boufadel
AU  - Elie Bou-Zeid
AU  - Hani Nassif
AU  - Jason T. L. Wang
PY  - 2022
DO  - 10.21203/rs.3.rs-1999403/v1
UR  - https://doi.org/10.21203/rs.3.rs-1999403/v1
ER  - 

APA

Gerges, F., Boufadel, M. C., Bou-Zeid, E., Nassif, H., & Wang, J. T. L. (2022). Downscaling Daily Wind Speed with Bayesian Deep Learning for Climate Monitoring. https://doi.org/10.21203/rs.3.rs-1999403/v1

Source records