Sentences with phrase «distribution of temperature changes»

It is quite true that a metric consisting of one number necessarily loses detail relative to looking at the entire distribution of temperature changes.

I have compared it to water vapor levels, OLR, precipitation, rotation of the Earth, SOI, Pacific subsurface temperatures, Trade Winds, cloud patterns, precipitation, atmospheric angular momentum, the AMO, tropical / global temperatures, and the spatial distribution of those temperature changes.

Some fraction of that may (depending on the distribution of temperature change within the stratosphere and the optical thicknesses) be transferred to the TRPP forcing, reducing the TRPP forcing that the surface + troposphere must respond to.

But the issue is not really the global mean temperature (even though that is what is usually plotted), but the distribution of temperature change, rainfall patterns, winds, sea ice etc..

In it he states «we asked the IPCC arctic group (consisting of 14 sub-groups headedby V. Kattsov) to «hindcast» geographic distribution of the temperature change during the last half of the last century.»

Not exact matches

This «would create a persistent layer of black carbon particles in the northern stratosphere that could cause potentially significant changes in the global atmospheric circulation and distributions of ozone and temperature,» they concluded.

By coupling a cooking plate that provides exact temperature distribution and instant recovery with a Steam Shell lid, cook times never change and all of the guess work is eliminated.

«Their distribution has run up against a kind of wall, because they're not establishing new territory fast enough to track the rapid changes in temperature.»

The science has given us now probability distributions of various different kinds of outcomes in terms of temperature and climate change in relation to given stocks of greenhouse gases in the atmosphere.

The research, published yesterday in Nature Climate Change, outlines a counterintuitive side effect of climate change: As higher temperatures drive plants and trees into areas now inhospitable to them, their new distribution speeds up temperature rise via natural processes such as releases of heat - trapping water vapor into thChange, outlines a counterintuitive side effect of climate change: As higher temperatures drive plants and trees into areas now inhospitable to them, their new distribution speeds up temperature rise via natural processes such as releases of heat - trapping water vapor into thchange: As higher temperatures drive plants and trees into areas now inhospitable to them, their new distribution speeds up temperature rise via natural processes such as releases of heat - trapping water vapor into the air.

Scientists often measure the effects of temperature on insects to predict how climate change will affect their distribution and abundance, but a Dartmouth study shows for the first time that insects» fear of their predators, in addition to temperature, ultimately limits how fast they grow.

Spiders have long been thought of as a useful natural method of pest control, but how will expected temperature changes or other environmental changes affect the spider's usefulness as pest - killers and their distribution?

They point to direct effects resulting from rising temperatures and changes in the frequency and strength of storms, floods, droughts, and heat - waves — as well as to less direct impacts, such as changes in crop yields, the burden and distribution of infectious disease, and climate - induced population displacement and violent conflict.

«There is unanimous agreement in the scientific community that a temperature increase of this magnitude would bring about significant changes in the earth's climate, including rainfall distribution and alterations in the biosphere.»

Because of differences in vertical or horizontal distribution of forcings, some changes can have a more than proportional effect on temperatures.

By precisely measuring the changes in the brightness and color of these sources as they rotate, we can explore their surface brightness distributions, thus creating rough maps of their cloud cover and temperature distributions.

The researchers use computer models to forecast future ocean conditions such as surface temperatures, salinity, and currents, and project how the distribution of different fish species could respond to climate change.

ENSO events, for example, can warm or cool ocean surface temperatures through exchange of heat between the surface and the reservoir stored beneath the oceanic mixed layer, and by changing the distribution and extent of cloud cover (which influences the radiative balance in the lower atmosphere).

We determined the distribution of frequency fold change for all OTUs after incubation for 4 days at ambient temperature (Fig. 6A — D).

«But what we show is that you can blame this strong change in the bell curve (of temperature distributions) on global warming.

Copper instantly responds to changes in temperature and this thermal conductivity ensures an even distribution of heat, so everything gets cooked consistently and evenly.

Those options include sound systems from Burmester and Bose, Porsche Rear - Seat Entertainment with swiveling 7 - inch screens, Lane Change Assist, adaptive cruise control, thermally and noise - insulated glass, and 4 - zone automatic climate control — which allows separate adjustment of air temperature, blower intensity and air distribution for each seat.

Those options include sound systems from Burmester and Bose, Porsche Rear - Seat Entertainment with swiveling 7 - inch screens, Lane Change Assist, adaptive cruise control, thermally - and noise - insulated glass, and 4 - zone automatic climate control — which allows separate adjustment of air temperature, blower intensity and air distribution for each seat.

ENSO events, for example, can warm or cool ocean surface temperatures through exchange of heat between the surface and the reservoir stored beneath the oceanic mixed layer, and by changing the distribution and extent of cloud cover (which influences the radiative balance in the lower atmosphere).

NASA Climate Change Shifting Distribution of Summer Temperature Anomalies, 1951 - 2011 http://www.youtube.com/watch?v=-qFmVY4-G-Q&feature=plcp

But this might well be affected by aerosol changes more than temperature is, and of course, the distribution will not be uniform.

Although the primary driver of glacial — interglacial cycles lies in the seasonal and latitudinal distribution of incoming solar energy driven by changes in the geometry of the Earth's orbit around the Sun («orbital forcing»), reconstructions and simulations together show that the full magnitude of glacial — interglacial temperature and ice volume changes can not be explained without accounting for changes in atmospheric CO2 content and the associated climate feedbacks.

However, changes in the distribution of snowfall through the year, conceivably linked to increases in sea surface temperature, may have reduced the reflectivity of the glacier and played an even bigger role in forcing the retreat than changes in air temperature alone.

Release of Carbon in melting permafrost being one, and changes in ocean temperatures and distribution of land vegetation and so on will clearly complicate the issue.

Elicited consequences of AMOC reduction include strong changes in temperature, precipitation distribution and sea level in the North Atlantic area.

Changes here have a long term effect, affecting the strength of the north - ward horizontal flow of the Atlantic's upper warm layer, thereby altering the oceanic poleward heat transport and the distribution of sea surface temperature (SST — AMO), the presumed source of the (climate) natural variability.

I would suggest comparing peak to peak average temperature captures during weighted El - Nino events (during the time they occur, if they can be compared equally this would be a telling graph), instead of considering year to year records as a means of reducing ENSO effects on the temperature record, ENSO being largely a heat exchange between air and sea causing great changes in cloud distribution world wide.

Because of differences in vertical or horizontal distribution of forcings, some changes can have a more than proportional effect on temperatures.

Given an instantaneous forcing, a CRF models the distribution of the resulting temperature change over time.

re Gavin @ 223 I know what the mean global temperature is (actually, I don't, see below) but the question was why is this a meaningful metric for looking at changes over time, when you could get the same global mean from very different distributions of temperature (eg increase the poles, decrease the tropics) which would have very different interpretations of energy balance (at least if I am right that humidity matters)?

The climate change in this period is generally believed to be associated with precessional changes in the distribution of solar radiation, which primarily affect land - sea temperature contrast, and give only a regional warming, plus an enhancement of certain monsoonal circulations.

Including emission along a path (Schwarzchild's equation), a flux will approach saturation as the optical thickness becomes large over scales where the temperature variation is small; at smaller optical thicknesses, the temperature distribution may vary and larger temperature variations make the nonlinearity of the Planck function important, but over short distances, the temperature variation can be approximated as linear and the associated Planck function values can be approximated as linearly proportional to distance for small temperature changes, so the flux will approach an asymptotic value as a hyperbolic function (the difference between the flux and the saturation value of the flux will be proportional to 1 / optical thickness per unit distance (assuming isotropic optical properties (or even somewhat anisotropic properties), it will have that proportionality for all directions and thus for the whole flux across an area).

This draws into question the justification for changing the baseline for the cumulative emissions analysis, given it quickly becomes apparent is that the use of a different dataset can undermine the conclusion that present day temperatures lie outside of the model distribution.

There will be Regionally / locally and temporal variations; increased temperature and backradiation tend to reduce the diurnal temperature cycle on land, though regional variations in cloud feedbacks and water vapor could cause some regions to have the opposite effect; changes in surface moisture and humidity also changes the amount of convective cooling that can occur for the same temperature distribution.

First, for changing just CO2 forcing (or CH4, etc, or for a non-GHE forcing, such as a change in incident solar radiation, volcanic aerosols, etc.), there will be other GHE radiative «forcings» (feedbacks, though in the context of measuring their radiative effect, they can be described as having radiative forcings of x W / m2 per change in surface T), such as water vapor feedback, LW cloud feedback, and also, because GHE depends on the vertical temperature distribution, the lapse rate feedback (this generally refers to the tropospheric lapse rate, though changes in the position of the tropopause and changes in the stratospheric temperature could also be considered lapse - rate feedbacks for forcing at TOA; forcing at the tropopause with stratospheric adjustment takes some of that into account; sensitivity to forcing at the tropopause with stratospheric adjustment will generally be different from sensitivity to forcing without stratospheric adjustment and both will generally be different from forcing at TOA before stratospheric adjustment; forcing at TOA after stratospehric adjustment is identical to forcing at the tropopause after stratospheric adjustment).

The temperatures slowly changed as the earth's position altered, in relation to the sun, causing the distribution of energy received on earth to change geographically and seasonally.

Local changes in temperature and rainfall have altered the distribution of some water - borne illnesses and disease vectors (medium confidence).

One recent paper (Libardoni and Forest, 2011) has addressed how alternative observational records of surface temperature changes have an impact on the probability density distributions.

Changing temperature and precipitation patterns can affect the life cycle and distribution of insects, many of which transmit diseases that already pose problems to public health in Wisconsin.

Aristotelian... This is definitely not a 1000 year representation, but it gives you a better idea of the changes in spacial distribution of temperature on the planet for the past 150 years.

> It has been argued recently that the combination of risk aversion and an uncertainty distribution of future temperature change with a heavy upper tail invalidates mainstream economic analyses of climate change policy.

Changing temperature and precipitation patterns can affect the lifecycle and distribution of insects, many of which transmit diseases that already pose problems for public health in Illinois.

From Figure 1 it looks as though a window of no more than 120 months, and preferably only 60 months is desirable to capture the changing distribution of temperature anomalies, however a shorter window may not provide enough data to reliably estimate the uncertainty.

The GISS homepage formerly said: The NASA GISS Surface Temperature Analysis (GISTEMP) provides a measure of the changing global surface temperature with monthly resolution for the period since 1880, when a reasonably global distribution of meteorological stations was eTemperature Analysis (GISTEMP) provides a measure of the changing global surface temperature with monthly resolution for the period since 1880, when a reasonably global distribution of meteorological stations was etemperature with monthly resolution for the period since 1880, when a reasonably global distribution of meteorological stations was established.

Potential impacts of climate change on the transmission of Lyme disease include: 1) changes in the geographic distribution of the disease due to the increase in favorable habitat for ticks to survive off their hosts; 85 2) a lengthened transmission season due to earlier onset of higher temperatures in the spring and later onset of cold and frost; 3) higher tick densities leading to greater risk in areas where the disease is currently observed, due to milder winters and potentially larger rodent host populations; and 4) changes in human behaviors, including increased time outdoors, which may increase the risk of exposure to infected ticks.