Our government is doing as little as
possible about greenhouse gas production.
Not exact matches
My interst in doing this has been to 1) first of all, to investigate if any fears whatsoever are remotely justified for «
greenhouse gas» composition changes in the atmosphere 2) to examine how a theory was developed that indicated cause for concern and 3) communicate what I know that can not possibly be true, within the realm of phyical law
about claims made in regard to any
possible danger associated with
greenhouse gases.
Based on results from large ensemble simulations with the Community Earth System Model, we show that internal variability alone leads to a prediction uncertainty of
about two decades, while scenario uncertainty between the strong (Representative Concentration Pathway (RCP) 8.5) and medium (RCP4.5) forcing scenarios [
possible paths for
greenhouse gas emissions] adds at least another 5 years.
By that I mean an unvarnished depiction of what science has, and has not, revealed
about the potential for dangerous outcomes from the building blanket of human - generated
greenhouse gases in the atmosphere, and
about the strengths and limits of
possible responses.
Various
possible future scenarios are also shown (red, magenta, blue, cyan) which differ due to different assumptions
about how much
greenhouse gasses humanity might emit.
Such states may have prevailed in the distant past, but there is nothing
about the current Holocene climate to suggest that more than a single equilibrium is within range — we are not close to a new glaciation nor a new «hothouse climate» (although the latter might become
possible if continued
greenhouse gas emissions were to remain unmitigated for a prolonged interval).
However, because of issues related to data quality, the low frequency of extreme event impacts, limited length of the time series, and various societal factors present in the disaster loss record, it is still not
possible to determine the portion of the increase in damages that might be attributed to climate change brought
about by
greenhouse gas emissions (S1).
«How can we use the spatial pattern of the surface temperature evolution to help determine how much of the warming over the past century was forced by increases in the well - mixed
greenhouse gases (WMGGs: CO2, CH4, N2O, CFCs), assuming as little as
possible about the non-WMGG forcing and internal variability.»
Because the models have been built to test man's
possible impact on the climate via
greenhouse gas emissions, they begin with an econometric forecast of world economic growth, and, based upon assumptions
about fuel sources and efficiencies, they convert this economic growth into emissions forecasts.