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AI-powered model improves ozone pollution forecasting

Phys Org
Summary
Nutrition label

94% Informative

Surface ozone has become a major summer air pollutant, often linked to high temperatures and low humidity.

Ozone levels are also influenced by complex meteorological factors such as atmospheric circulation, solar radiation, boundary layer height, and cloud cover.

A new model leverages a sequential convolutional long short-term memory network framework ( CNN -LSTM) to integrate spatiotemporal meteorological features.

VR Score

97

Informative language

99

Neutral language

73

Article tone

formal

Language

English

Language complexity

88

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

long-living

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