Sentences with phrase «seasonal temperature cycle»

The prediction is for a roughly sinusoidal seasonal temperature cycle, based on solar zenith angle.

Not exact matches

Meanwhile, permafrost observers the world over will take measurements in boreholes at least 30 meters (100 feet) deep — the depth where temperatures do not fluctuate during seasonal cycles — though some will stretch much deeper.

«And what we found was that we got the right kind of temperature change and we got a dampened seasonal cycle, both of which are things we think we see in the Pliocene.»

Previous modeling studies find that GHG make up roughly 50 % of the total LGM to present temperature response (see e.g. Broccoli & Manabe), the other part being albedo etc that respond to the seasonal cycle of irradiance.

Knutti, R., G.A. Meehl, M.R. Allen and D.A. Stainforth, 2006: Constraining climate sensitivity from the seasonal cycle in surface temperature.

Add to that the mature indoor cat's typical lifestyle, where sheltered from temperature variations and changes in day length disrupts the natural seasonal cycle of fur growth.

Therefore, a store's clients need to have an intimate understanding of background temperatures in their home and how they vary in both 24 - hour and seasonal cycles.

A linear regression line through a change of temperature with time, or a sinusoidal fit to the seasonal cycle for instance.

While the local, seasonal climate forcing by the Milankovitch cycles is large (of the order 30 W / m2), the net forcing provided by Milankovitch is close to zero in the global mean, requiring other radiative terms (like albedo or greenhouse gas anomalies) to force global - mean temperature change.

In the latter (admittedly somewhat unusual) choice of baseline, the fraction of last July's temperature anomaly that is attributable to global warming is tiny, since most of the anomaly is perfectly natural and due to the seasonal cycle!

Normally we just plot the monthly anomalies (with respect to each month), but here I used the estimates of the seasonal cycle in temperature from MERRA2 to enhance the analysis so that months can be compared in an absolute sense.

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.

The changes in atmospheric CO2 concentration resulting from human consumption of fossil fuels cause most of both the temperature increase and the changes in the seasonal cycle.»

We know that the number of tropical cyclones is influenced by several factors: the seasonal cycle, the geography, ocean temperatures and the wind structure in the atmosphere.

These shape the 4 - dimensional pattern of temperature and other changes — the patterns of circulation, latent heating, and precipitation will shift, as can the cycles driven the imposed diurnal and seasonal cycles in incident solar radiation; the texture of internal variability can also shift.

The model showed that there should be a seasonal cycle in the behavior of the shallow - water hydrates just below the seafloor, with some additional hydrates forming while the water temperature is cooler and then melting when the water is warmer.

Also, just because the average pole - to - equator temperature gradient is decreasing doesn't mean that the seasonal variation won't still be in place, and then there's the whole issue of the hydrologic cycle intensification — a moister atmosphere carries more latent heat and thus may generate more intense mid-latitude storms as well.

ECHAM3 at T42 improved the seasonal cycle of surface temperature in seven regions, compared to the driving AOGCM, but overall surface temperature was too high (by 2 to 5ºC).

Knutti et al. (2006), using a different, perturbed physics ensemble, showed that models with a strong seasonal cycle in surface temperature tended to have larger climate sensitivity.

The three different ozone databases yield changes in tropical lower stratospheric temperatures that differ by more than a factor of two at 70 mbar, although all have qualitatively similar seasonal cycles.

Thus the first year (s) temperature change is the most responsible for the first year (s) change in CO2 increase, but as the temperature influence is limited in time (a different, but constant temperature again gives a constant seasonal cycle, but at a different level), the next years that will not give a change in increase speed anymore.

Specifically, the cloud cover is multiplied by the factor 1 + c T, where T, computed every time step, is the deviation of the global mean surface air temperature from the long - term mean in the model control run at the same point in the seasonal cycle and c is an empirical constant.

Third, the ice core data how conclusively that, during natural climate cycling, changes in temperature precede changes in carbon dioxide by an average 800 years or so (Fischer et al, 1999; Indermuhle et al, 2000; Mudelsee, 2001; Caillon et al, 2003); similarly, temperature change precedes carbon dioxide change, in this case by five months, during annual seasonal cycling (Kuo, Lindberg and Thomson, 1990).

By that standard, last week in Rochester we should have stopped preparing for winter given that we had several days of warm temperatures that surely made the temperature trends over some reasonable time period of a week or more positive rather than negative, as would be expected if this seasonal cycle theory was real.

We also make use of two lengthy control simulations conducted with CESM1 under constant 1850 radiative conditions: a 2200 - year control run using the fully - coupled configuration (hereafter termed the «coupled control run»), and a 2600 - year control run using only the atmospheric model component coupled to the land model component from CESM1 with a specified repeating seasonal cycle of sea surface temperatures (SSTs) and sea ice conditions taken from the long - term climatology of the fully - coupled control run (hereafter termed the «atmospheric control run»).

The relations between the length of a solar cycle and the mean temperature in the following cycle are used to model Svalbard annual mean temperature and seasonal temperature variations.

Glaciers follow an annual cycle, melting in summer and growing in winter owing to seasonal changes in temperature and precipitation.

One sentence summary: A strengthened subtropical jet stream — which is the primary means by which El Niño brings increased precipitation to California — is unlikely to occur prior to winter due to the intrinsic seasonal cycle of temperature variations across the Pacific Basin.

I wonder if you can run your seasonal temperatures through frequency analysis and see any cycles?

Simulations of the mid-Holocene with AOGCMs (see Section 9.2.1.3 for forcing) produce an amplification of the mean seasonal cycle of temperature of approximately 0.5 °C to 0.7 °C.

Scatter plot of simulated springtime Δαs / ΔTs values in climate change (ordinate) vs simulated springtime Δαs / ΔTs values in the seasonal cycle (abscissa) in transient climate change experiments with 17 AOGCMs used in this report (Δαs and Ts are surface albedo and surface air temperature, respectively).

For the long - term experiment, the constant temperature regimes of the seawater bath were replaced with a seasonal cycle (adjusted monthly; see electronic supplementary material, figure S2) to match either historical mean monthly temperatures at the study site (ambient) or a warming scenario (ambient cycle +4 °C).

Indeed, the way in which climatic forcing is expressed in natural systems is not universal, with both spatial (local, regional and latitudinal) and temporal (periodic pulses and seasonal cycles) variations in pH and temperature that are sufficient to affect the direction (positive through to negative) and severity of effect depending on timing and context [110].

There is a seasonal cycle in global mean temperature which means that on average, July and August are roughly 3.6 ºC (6.5 ºF) warmer than December and January.

When we remove seasonal changes in earth's temperature, we are removing the effect of an unvarying cycle in the amount of energy applied to the system.

It is exactly for the same reason that the temperature trend here in Rochester over a period of, say, a week or so can be negative in the spring even though there is no denying that the seasonal cycle is strong here and that the predicted temperature trend in the spring is positive.

In making their seasonal outlook, which was released on May 23, NOAA cited a broad area of above - average sea surface temperatures in the North Atlantic Basin, a continuation of a natural cycle of above - average hurricane activity, and a lack of an El Niño event in the Pacific Ocean as reasons why there may be more storms this year.

They used several simple indices, including the land - ocean contrast, the meridional gradient, and the magnitude of the seasonal cycle, to describe global climate variations and showed that for natural variations, they contain information independent of the global mean temperature.

As I have noted before, it is not at all unusual here in Rochester to have week or longer periods in the spring when the temperature trend is negative despite the fact that the seasonal cycle (which is very strong here in Rochester) predicts the trend should be strongly positive.