paper
2023
Sub-seasonal to seasonal
Application study
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2023-01-01
008
Jan 2023
Sapna Tajbar, Ali Mohammad Khorshiddoust, Saeed Jahanbakhsh Asl
Időjárás
ANN and BRNN models with 12-month lagged climate drivers forecast monthly precipitation in Sindh, Pakistan, reaching correlations of 0.57 to 0.83.
Impacts of large scale climate drivers on precipitation in Sindh, Pakistan using machine learning techniques
In one sentence. ANN and BRNN models with 12-month lagged climate drivers forecast monthly precipitation in Sindh, Pakistan, reaching correlations of 0.57 to 0.83.
Labels
- Topic
- Sub-seasonal to seasonal
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- ERA5 / reanalysis, Other
- Status
- Research
- Identifiers
- DOI:10.28974/idojaras.2023.3.4 OpenAlex:W4386611147
- Added
- 2026-10-22
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