quantitative methods used to simulate climate
via PubMed
~24 min read
Climate models apply knowledge in various sciences to process extensive sets of input climate data, executing differential equations among grid elements in a three-dimensional model of Earth's climate system. The models produce simulated climates having an array of climatic and weather elements, such as heatwaves and storms. Each element may be described by several attributes, including intensity, frequency, and impacts. Climate models support adaptation to projected climate change, and enable extreme event attribution to explain specific weather events. Numerical climate models (or climate system models, or earth system models) are mathematical models that can simulate the interactions of important drivers of climate. These drivers are the atmosphere, oceans, land surface and ice. Scientists use climate models to study the dynamics of the climate system and to make projections of future climate and of climate change. Climate models can also be qualitative (i.e. not numerical) models and contain narratives, largely descriptive, of possible futures.
Climate models take account of incoming energy from the Sun as well as outgoing energy from Earth. An imbalance results in a change in temperature. The incoming energy from the Sun is in the form of short wave electromagnetic radiation, chiefly visible and short-wave (near) infrared. The outgoing energy is in the form of long wave (far) infrared electromagnetic energy. These processes are part of the greenhouse effect.
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).