ML4WX

Sub-seasonal to seasonal

Forecasting Seasonal Rainfall in Zambia – An Artificial Neural Network Approach

Lillian Mzyece, Mayumbo Nyirenda, Monde M.K Kabemba, Grey Chibawe

Zambia ICT Journal ·

PaperPDF

In one sentence. Artificial neural networks replace expert steps in a seasonal rainfall forecasting workflow for Zambia, with results reported only qualitatively.

Labels

Topic
Sub-seasonal to seasonal, Applications & impacts
Type
New model or method
Method
Other
Time scale
Seasonal to annual
Domain
Regional
Data
Station / in-situ
Status
Research
Identifiers
DOI:10.33260/zictjournal.v2i1.46 OpenAlex:W2905629415
Added
2026-10-22

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