A study across 16 Malaysian weather stations found that Support Vector Regression achieved the lowest median error for one-month-ahead rainfall ...
Researchers developed a marked temporal point process framework to analyze directional dependencies and temporal clustering among extreme meteorological hazards across ...
Researchers developed a physics-guided uncertainty calibration framework that significantly improves probabilistic forecast accuracy for heavy and extreme rainfall regimes while ...
A study reveals that modified desert air masses called atmospheric deserts systematically elevate the probability of severe heat anomalies, lightning ...
Australian researchers have developed and validated an operational statistical interpolation system that blends satellite, radar, and rain gauge data to ...
An ecological time-series study in Shanghai found limited evidence linking air pollution and weather to drug-resistant tuberculosis after adjusting for ...
Satellite-based Doppler radar observations from EarthCARE reveal distinct vertical air motions and cloud microphysical structures across tropical cyclone regions.
A multi-timescale evaluation reveals that while advanced satellite algorithms effectively capture convective rainfall across Ethiopia, terrain complexity and warm-cloud processes ...
A short-term cold-season monitoring campaign in San Juan, Argentina, shows that industrial and commercial zones carry the highest particulate levels ...
A descriptive study of CPCB data from seven Indian cities found lockdown AQI declines of 17 to 53 percent, steep ...
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