In order to make predictions of climate change, we have to calculate the effects of all the key processes operating in the climate system. Our knowledge about these processes can be represented in mathematical terms, but the complexity of the system means that the calculation of their effects can only be performed in practice using a computer. The mathematical formulation is therefore implemented in a computer program, which we refer to as a climate model. Various types of climate model are used for climate simulation and prediction. Usually the surface of the earth is divided up using a rectangular grid, and the ocean and atmosphere further sub-divided at different levels to make computation possible (see figure). Best results are obtained with a fine grid and many different levels, but this requires enormous computer power. The limitations of our knowledge and computing resources mean that the results of climate models are always subject to some uncertainty.
First link found between climate change and fishery stocks
by ClickGreen/Samudra News
24 March 2010
A new climate-population model developed by NOAA scientists to study rising ocean temperatures and fishing rates on one East Coast fish population could also forecast the impact of climate change and fishing on other fisheries -- the model is one of the first to directly link a specific fish stock with climate change.