ML4WX

Downscaling & super-resolution

Combining Long-Short Term Memory and Genetic Programming for Monthly Rainfall Downscaling in Southern Thailand's Thale Sap Songkhla River Basin

Sirimon Pinthong, Pakorn Ditthakit, Nureehan Salaeh, Warit Wipulanusat, Uruya Weesakul, Ismail Elkhrachy, Krishna Kumar Yadav, Nand Lal Kushwaha

Engineered Science ·

PaperPDF

In one sentence. Combines LSTM and genetic programming to downscale CMIP5 and CMIP6 monthly rainfall at three Thai stations, projecting 2030s to 2080s trends.

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
Regional
Data
CMIP / climate model output, Station / in-situ
Status
Research
Identifiers
DOI:10.30919/es1047 OpenAlex:W4389484457
Added
2026-10-22

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