Snow drought to hydrologic drought progression using machine learning and probabilistic analysis

Pouya Moghaddasi, Keyhan Gavahi, Hamid Moradkhani

Open source

DOI
10.1038/s41598-025-05978-y
Published
2025-07-01
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 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:10.1038/s41598-025-05978-y,
  title = {Snow drought to hydrologic drought progression using machine learning and probabilistic analysis},
  author = {Pouya Moghaddasi and Keyhan Gavahi and Hamid Moradkhani},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-05978-y},
  url = {https://doi.org/10.1038/s41598-025-05978-y}
}

RIS

TY  - JOUR
TI  - Snow drought to hydrologic drought progression using machine learning and probabilistic analysis
AU  - Pouya Moghaddasi
AU  - Keyhan Gavahi
AU  - Hamid Moradkhani
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-05978-y
UR  - https://doi.org/10.1038/s41598-025-05978-y
ER  - 

APA

Moghaddasi, P., Gavahi, K., & Moradkhani, H. (2025). Snow drought to hydrologic drought progression using machine learning and probabilistic analysis. Scientific Reports. https://doi.org/10.1038/s41598-025-05978-y

Source records