paper
2018
Downscaling & super-resolution
New model or method
RNN / LSTM / ConvLSTMClassical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2018-10-03
008
Oct 2018
Shyama Debbarma, Parthasarathi Choudhury, Parthajit Roy et al.
International Journal of Applied Metaheuristic Computing
Gamma memory neural networks, with and without GA optimization, downscale daily precipitation for the Barak basin, with GMNN-GA matching the standard SDSM model.
Downscaling & super-resolution
Analysis of Precipitation Variability using Memory Based Artificial Neural Networks
In one sentence. Gamma memory neural networks, with and without GA optimization, downscale daily precipitation for the Barak basin, with GMNN-GA matching the standard SDSM model.
Labels
- Topic
- Downscaling & super-resolution
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Local / station
- Data
- ERA5 / reanalysis, CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.4018/ijamc.2019010102 OpenAlex:W2894990022
- Added
- 2026-10-22
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