Editing Ai Climate (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Climate model''' — A mathematical simulation of Earth's climate system; used to project future climate under different emissions scenarios.
* '''Climate emulator''' — A machine learning model that approximates the output of a physics-based climate model at much lower computational cost.
* '''GraphCast''' — Google DeepMind's AI weather forecasting system that achieved state-of-the-art 10-day forecasts; trained on 40 years of ERA5 reanalysis data.
* '''NowCasting''' — Very short-range weather prediction (0–6 hours ahead) at high resolution; AI surpasses numerical models here.
* '''Remote sensing''' — Using satellite or aerial sensors to observe Earth's surface, atmosphere, and oceans at scale.
* '''Deforestation monitoring''' — Using satellite imagery and computer vision to detect and quantify forest loss in near-real-time.
* '''Smart grid''' — An electricity grid that uses AI to balance supply and demand in real time, integrating variable renewable energy.
* '''Demand forecasting''' — Predicting future energy consumption to optimize generation and grid operations.
* '''Carbon footprint prediction''' — Using ML to estimate the carbon emissions associated with activities, products, or supply chains.
* '''CCUS (Carbon Capture, Utilization, and Storage)''' — Technologies for capturing CO₂ from the atmosphere or point sources; AI accelerates material discovery.
* '''Precision agriculture''' — Using sensors, satellites, and AI to optimize farming inputs (water, fertilizer, pesticide) and maximize yield while minimizing environmental impact.
* '''Biodiversity monitoring''' — Using AI to automatically identify species from audio (bird calls, bat echolocation) or imagery, enabling large-scale biodiversity surveys.
* '''Climate downscaling''' — Using ML to translate coarse-resolution climate model outputs to fine-resolution local projections.
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