paper
2022
Sub-seasonal to seasonal
Probabilistic & ensemble forecasting New model or method
RNN / LSTM / ConvLSTMPhysics-informed / physics-constrainedSeasonal to annual Journal
2022-07-01
008
Jul 2022
Siva Gopal R
International Journal of Statistics and Applied Mathematics
LSTM-parameterised stochastic differential equations for probabilistic Indian monsoon rainfall forecasting from 40 years of station data.
Stochastic differential equations and machine learning hybrid models for Indian monsoon prediction: Mathematical framework and computational implementation
In one sentence. LSTM-parameterised stochastic differential equations for probabilistic Indian monsoon rainfall forecasting from 40 years of station data.
Labels
- Topic
- Sub-seasonal to seasonal, Probabilistic & ensemble forecasting
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, Physics-informed / physics-constrained
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Station / in-situ, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.22271/maths.2022.v7.i4c.2250 OpenAlex:W7127050133
- Added
- 2026-10-22
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