ML4WX

Local & station forecasting

Efficient Weather Prediction Model using Relevant Machine Learning Approach

Abhishek Pandey, Harsha Khanna

Zenodo (CERN European Organization for Nuclear Research) ·

Paper

In one sentence. Garbled, low-quality abstract on machine learning for temperature and rainfall prediction; no clear method, data or quantitative result.

Abstract

The alternate in worldwide temperatures, current beyond three years natural disasters, rising sea levels, lowering polar regions may be causing the problem of expertise and predicting these weather phenomena. Prediction is a top importance and that they may be run and simulated as laptop simulations to expect climate variables temperature, precipitation, rainfall and and so forth. Temperature prediction is the most crucial venture for predicting early prediction of rainfall may additionally helps to peasant

Labels

Topic
Local & station forecasting
Type
New model or method
Method
Classical ML (trees, GP, linear, kernels)
Domain
Local / station
Data
Other
Status
Research
Identifiers
DOI:10.5281/zenodo.21585080 OpenAlex:W3131521663
Added
2026-10-22

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