Sampling molecular state transitions in a line-by-line Monte Carlo approach to estimate radiative forcing for climate change studies
Abstract
A major challenge of the beginning of the century is the nation’s actions over the terrestrial climate to counter the global warming. This warming is caused by the human activity and in particular by the emission of important amounts of greenhouse gases. Its close understanding and precise estimate are necessary to take appropriate actions and one of the driving concepts along this line is radiative forcing. This forcing is defined as the difference between two Top Of Atmosphere (TOA) radiative fluxes, both integrated spatially over all the Earth and temporally over a climatic period, the difference being due to a change of one single parameter. Here we focus on the forcing to carbon dioxide. So, our question is the estimation of the difference between two integrated TOA fluxes, before and after we change the CO2 concentration field.
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