Climate models are based
on mathematical equations
that represent the best
understanding of the basic
laws of physics, chemistry,
and biology that govern the
behaviour of the atmosphere,
ocean, land surface, ice, and
other parts of the climate
system, as well as the
interactions among them. The most comprehensive climate
models, Earth-System Models, are designed to simulate
Earth’s climate system with as much detail as is permitted by
our understanding and by available supercomputers.
Computer models might be useful to manage the high complexity of processes that cause climate change. I wrote 'might' as models are only as good as the data that is fed into the models. If data is of low quality then the outcome is also low quality.
Dear Nabeel;
You could try Reginal Climate Model (RegCM) in your project. It's easily available at:
https://gforge.ictp.it/gf/project/regcm/frs/
Hope it helps.
Thanks a lot dear Eberhard Weber and Muhammadreza Tabatabaei. Best regards
Dear Nabeel Hameed Al-Saati
Climate models use mathematical formulas run by computers to simulate the Earth's climate. Such tools allow scientists to manipulate and thus better understand the physical, chemical, and biological processes that influence climate.
The climate system is hugely complex, and to understand the climate and make projections about how it will respond to changes such as rising greenhouse gas levels, we need to synthesize a number of data by taking muliplte factors in account for simulations of earth's climate system which can may be at a global or regional level or both. However no mathematical model can perfectly reflect all of its intricate processes in perfect detail. Hence there's always some difference between a model and reality, and it's normal when presenting model results to estimate how big this difference is.
Nonetheless, scientists are confident that models can project big-picture changes such as global temperature rise. The IPCC gives three reasons for its confidence in large-scale climate modeling, the fact that the fundamentals of the models are based on well-established physical laws; the success of models at predicting or reproducing observed patterns and variability in our current and recent climate; and the success of models at reproducing past changes in our climate, including global temperature changes.
Comparing models developed independently by different centres around the world provides additional confidence where those models agree on the response (typically on global and continental scales). To minimise the impact of inaccuracy in any one model, scientists can simulate the same scenarios in multiple models and compare the outcomes.
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- Computer Communications (Networks)
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