Climate change models permit the simulation of the special effects of the assemblage of greenhouse gases centuries into the future, based on contemporary thoughtful of atmospheric physics and chemistry. The global climate modeling characterizes the climate system implementing a 3D grid with horizontal coarse resolution of 250 km-600 km over the world and 10-20 vertical layers in the atmosphere as well as around 30 layers in the oceans. Although, regional climate models which zoom in on precise areas, have much finer resolutions, commonly a few tens of kilometers. This is ample quicker to the scale of real world observations about topography, land cover and soil types, all of which affect the climate system. Because of this reason, regional climate models can use more real life data than global models and their simulations are generally more accurate. Though, regional climate model is useful for investigating natural variations in the Earth’s climate; studying how land use (such as agriculture and deforestation) can affect regional weather patterns; and making more detailed predictions about how climate change will affect the places where people live. Conjoining global and regional models allows finer scale investigation of regional details of change to horizontal resolutions of 10 km-50 km. Consequently, scientists use climate models to predict how the climate might change in the future, especially as human actions, like adding greenhouse gases to the atmosphere, change the basic conditions of our planet.
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Journal of Environmental Hazards received 51 citations as per Google Scholar report
