Energy, emissions, and the physics of a warming planet.
OpenAlex
Verdict: NotableNumerous subseasonal-to-seasonal (S2S) models exist, yet their performance over tropical regions remains poorly understood, leaving forecasters with little guidance on which models best suit operational downscaling.
In 2019, Brazil experienced an intensive fire season, despite the absence of major climate anomalies to enhance fire activity.
Photovoltaic (PV) output in arid regions is reduced by dust soiling and elevated module temperatures, while cleaning and spray cooling consume water, energy, and labor.
While machine learning (ML) weather models are emerging as promising tools for predicting weather conditions on a global scale, their coarse resolution and systematic biases limit practical applicability in regional…
Snow depth (SD) and land surface temperature (LST) interact through energy and mass exchanges that govern meltwater supply in arid mountain regions, yet the strength, quality, and timing ....
Language-model agents are increasingly asked to carry out open-ended scientific research, yet their results are usually graded against a known answer, a rubric, or a language-model ....
Radar mosaic data represent a critical and widely utilized resource in weather forecasting.