Sentences with phrase «on time scales»

Leif: you wrote «But all that happens on time scales of days, so is irrelevant for the climate.
But since movement of the continents occurs on time scales of millions of years, they aren't going to impact on climate change on human timescales.
That seems wishful thinking on the time scales that matter.
But all that happens on time scales of days, so is irrelevant for the climate.
These analyses indicate that f is substantially greater than unity on all time scales.
The decadal prediction experiments are designed to assess the predictability of climate (natural and forced) changes on time scales up to 10 years.
However, they also suggest that there still is a notable solar variation influence on time scales up to a few millennia.
The Working Group on Numerical Experimentation (WGNE), jointly established by the WCRP Joint Scientific Committee (WCRP - JSC) and the WMO Commission for Atmospheric Sciences (CAS), which is responsible for WWRP and GAW, has the responsibility of fostering the development of atmospheric circulation models for use in weather, climate, water and environmental prediction on all time scales and diagnosing and resolving shortcomings (WMO / TD 121).
It makes no sense to argue this dispersed heat will eventually come out — at least not on time scales that matter to humans.
And on these time scales, the signal of climate change starts to emerge from the noise, thanks to the sensitivity of the climate system.
«The big fires that are occurring in the American Southwest are extraordinary in terms of their severity, on time scales of thousands of years.
Measurements from spacecraft avoid this problem, and the most precise of these, made continuously since 1979 (Fig. 2a, b), have revealed changes on all time scales — from minutes to decades — including a pronounced cycle of roughly eleven years.
It features components for the atmosphere, ocean, ocean sediment, land biosphere, and lithosphere and has been designed for global climate change simulations on time scales from years to millions of years.
We also know from isotopic archives of solar activity that the Sun exhibits greater variability on time scales that exceed the eleven - year cycle.
However, especially panels b and c in Figure 6 indicate that some common variability is present in the radionuclide data and the CALS3k models on time scales of 500 years and longer (e.g., minimum around 700 AD in Fig. 6b).
On time scales of thousands to hundreds of thousands of years, variations in the earth's orbit affect climate.
I don't regard the flightpath stabilization policy strategy as being of much use, especially on time scales out to 5 hours, which is the more relevant time frame for most regional carriers.
Because the chemistry of the ocean equilibrates with that of the atmosphere (on time scales of decades to centuries), methane oxidized to CO2 in the water column will eventually increase the atmospheric CO2 burden (Archer and Buffett, 2005).
Our results confirm that the solar influence dominates the short periods and geomagnetic changes probably start to play a significant role on time scales from 500 yrs and longer.
The somewhat contradictory results for the similarity of radionuclide - based dipole reconstructions and geomagnetic field models on these time scales point out that geomagnetic field models have to be improved further before they can provide a truly robust means to eliminate the influence of geomagnetic variability in cosmogenic radionuclide production studies.
In March 2005, Jan Veizer, one of Canada's top Earth scientists, published a comprehensive review of recent findings and concluded that «empirical observations on all time scales point to celestial phenomena as the principal driver of climate, with greenhouse gases acting only as potential amplifiers.»
The variable Sun is the most likely candidate for the natural forcing of past climate changes on time scales of 50 to 1000 years.
Has anyone ever demonstrated convincingly that global temperature is bound by the central limit theorem on time scales of interest?
They can be defined as the sciences of weather fluctuations on time scales respectively smaller and longer than one human lifetime.
Therefore, the rather large rise in CO2 can not be the cause of global warming [in reality, it is largely an effect, since rising CO2 follows temperature rises on all time scales, from months to hundreds of millennia.
Lowess is preferable, but has the problem that any climate «signal» on time scales which are long compared with the smoothing time will simply be adsorbed into the growth curve, and so can not possibly be revealed by this approach.
There's no reason that the sensitivity on time scales of tens of thousands of years (Vostok record) should be the same as the sensitivity on time scales of decades (modern record).
But fluctuations on time scales longer than 30 years can still be noise and not signal.
The palaeo climate record is an important part of the skeptic argument against climate alarmism, specifically the absence of clear evidence of CO2 causation of warming and regulation of or correlation with temperature on all time scales.
This question is addressed for suggested solar forcing mechanisms operating on time scales from billions of years to decades.
This is, I think, built on some faulty assumptions, but one of the most serious I can think of is that there are not longer «periodicities» in the climate and weather on time scales that could cause the apparent «boost» to warming in the latter half of the century to be misinterpreted.
I am particularly interested in the role of the oceans in climate variability on time scales of years to decades.
But we know that the mechanisms responsible for the variation of Ts are different in internal variability on these time scales and in forced climate change, then my questions is that: is it possible that the spread in ECS might not be so directly caused by low - cloud feedback, although the low cloud feedback is a very good indictor for the model uncertainty?
The motions of the massive oceans where heat is moved between deep layers and the surface provides variability on time scales from years to centuries.
Those measurements are on time scales from months, to hundreds of millennia.
The North Atlantic Ocean is one of the most important drivers for the global ocean circulation and its variability on time scales beyond inter-annual.
Antarctic and Greenland ice sheets present the danger of change with consequences that are irreversible on time scales important to society [1].
I haven't read that one; but I'll just comment briefly on the time scales for CO2.
The Polar Prediction Project (PPP) is a 10 - year (2013 — 2022) endeavour of the World Meteorological Organization's (WMO) World Weather Research Programme (WWRP) with the aim of promoting cooperative international research enabling development of improved weather and environmental prediction services for the polar regions, on time scales from hours to seasonal.
Scaling back the sensitivity doesn't actually make a lot of difference on the time scales being considered here.
On time scales of years to centuries, the largest changes in tides around the ice sheets are likely to be caused by changes in the extent and thickness of ice shelves.
But the «big climate picture» includes ocean feedbacks on all time scales, carbon and other elemental cycles, etc. and it has to be several decades before that is sorted out I would think.
Anthropogenic climate change on time scales of decades is arguably less important in driving vulnerability than increasing population, land use practices and ecosystem degradation.
For instance, Emanuel, 2011 (Abstract; Google Scholar access) suggests that a global warming signal could become statistical significant sometime over the next century or two, and that there could be some indications on time scales as short as 25 years.
Little is known about the feedbacks operating on these time scales and for high CO2 climates.
The study by Ponte (2012) is referenced for its use of an eddy - resolving ocean state estimate to quantify the substantial variability in temperature and salinity expected in the deep ocean on time scales from months to years.
Comparisons between these reconstructions and the output of Earth system models provide evaluation opportunities to improve our understanding of climate forcings on time scales that are not adequately represented by the instrumental record.
Sea level can rise or fall on time scales ranging from hours to centuries, spatial scales from < 1 km to global, and with height changes from a few millimeters to a meter or more.
Physically, C1 can be thought of as representing the concentration of CO2 in long - term stores such as the deep ocean; C1 + C2 as representing the CO2 concentration in medium - term stores such as the thermocline and the long - term soil - carbon storage; and C = C1 + C2 + C3 as the concentration of CO2 in those sinks that are also in equilibrium with the atmosphere on time scales of a year or less, including the mixed layer, the atmosphere itself and rapid - response biospheric stores.
The interactions between the subsystems thus giverise to climate variability on all time scales
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