Not exact matches
Their importance, he says, lies in the very act of government and business discussing these challenges and considering how to meet them: developing a «dual approach over a significant — five, six, seven -
year —
timescale both encourages confidence that we are all facing in the same direction, and
gives us time to develop and implement a real strategy [for growth].»
Such data may
give planners and decision makers a new tool to identify key regions of U.S. coastlines that may be vulnerable to sea level changes on 10 - to 20 -
year timescales.
Thank you a lot for your kind answer, I got (twice) the following choice of options (select one or more): a. one
year b. 1000
years c. 100
years d. > 1000
years e. ten
years There is no option in the
timescale of some hundreds of thousand
years or so, and the automated grading system did not
give a correct answer after I finished.
Models all produce natural variability, many of which show temperature flatlines over decadal
timescales, and
given the wide importance of natural variability over < 10
year time scales and uncertain forcings, one can absolutely not claim that this is inconsistent with current thinking about climate.
And certainly
given such a short
timescale, one must not forget the 11
year cycles.
If a threshold is passed, the IPCC (12)
gives a > 1,000 -
year timescale for GIS collapse.
For instance, a focus on variations of decadal or longer
timescales with the 45
years of validation data used by Mann et al. (1998) would
give statistics with just (2 × 45 ÷ 10) = 9 degrees of freedom, too few to adequately quantify skill.
Evidently we are supposed to reduce carbon emissions by 10 - 20 % (I think 25 % even came up once) per
year for the next 5 - 10
years, with the use of renewables accounting for only a minor part of that (and
given the
timescale to ramp up renewables, that is certainly realistic in the early
years).
Given the enormous obstacles to reaching reliable results, and the prevailing view that the global climate could not possibly change on a
timescale that would matter except to far future generations, what ambitious scientist could want to devote
years to the topic?