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.
Summer insolation decreased by 0.33 W m — 2 at 45 ° N over the millennium, winter insolation increased by 0.83 W m — 2 (Goosse et al., 2005a)(Errata), and the magnitude of
the mean seasonal cycle of insolation in the NH decreased by 0.4 W m — 2.
Summer insolation decreased by 0.33 W m — 2 at 45 ° N over the millennium, winter insolation increased by 0.83 W m — 2 (Goosse et al., 2005a)(Errata), and the magnitude of
the mean seasonal cycle of insolation in the NH decreased by 0.4 W m — 2.
Not exact matches
Our bodies are still in tune with nature
cycles and are
meant to eat
seasonal produce.
TOA radiation anomalies are determined from monthly averages by removing the
seasonal cycle then smoothing with a twelve - month running
mean.
Models are compared primarily to the current climatology and all of the adjusting goes into getting the
mean climate /
seasonal cycle etc. correct.
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.
It is important to note that these exercises are done with the
mean climate (including the
seasonal cycle and some internal variability)-- and once set they are kept fixed for any perturbation experiment.
(1) You compare a
seasonal cycle (which over the year integrates out to zero) with a
mean flux.
Instead, the model results for, say, the
mean climate, or the change in recent decades or the
seasonal cycle or response to El Niño events, are compared to the equivalent analyses in the gridded observations.
Our feeling is that once the validation becomes more comprehensive, most of the extremely high sensitivity examples will fail (particularly on the
seasonal cycle, which tests for variations rather than just a
mean).
The main changes in radiative forcing from the precessional
cycle are in the latitudinal and
seasonal distribution, not in the global
mean, which is why the nature of the response can be expected to be different from doubling CO2.
About «Tuning»: ``... It is important to note that these exercises are done with the
mean climate (including the
seasonal cycle and some internal variability)-- and once set they are kept fixed for any perturbation experiment..»
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.
Perhaps surprisingly, the spread in the
seasonal cycle in the reanalyses is small once the annual
mean has been removed.
The list of solar bodies this claim is made for includes: - pluto: pluto is in its late summer season (it has an almost 300 year
seasonal cycle) so the observed warming is by no
means anomalous - mars: mars has only had warming observed in one area of the southern hemisphere.
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.
April 19, 2017: The separate pages for creating plots of «time series of zonal
means» and «seasonal cycle of zonal means» were combined as a single page for making Plots of Zonal M
means» and «
seasonal cycle of zonal
means» were combined as a single page for making Plots of Zonal M
means» were combined as a single page for making Plots of Zonal
MeansMeans.
On a (2011) Climate Etc. post Pondering the Arctic Ocean, I interpreted the record in the context of a (qualitative) change point analysis, defined by changes in trend,
mean value, amplitude of the annual
cycle, and interannual variability.It looks like 2013 was another change point year, characterized by low amplitude
seasonal cycle.
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.
[4] The aspects of each of these measures that are used as predictors are their climatology (the 2001 - 2015
mean), the magnitude (standard deviation) of their
seasonal cycle, and monthly variability (standard deviation of their deseasonalized monthly values).
These are all cell
mean values on a grid with 37 latitudes and 72 longitudes, giving nine predictor fields each with 2664 values for three aspects (climatology,
seasonal cycle and monthly variability) for each of three variables (OLR, OSR and N).
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 don't think he did anything with cloud height or cloud cover, so I'm confused by your question, but either way the plots reflect monthly global average data with a 12 running
mean applied to smooth out the
seasonal cycle.
A number of techniques have been employed to sub-set or recalibrate these projections based on different aspects of the observed ice cover, including the
mean and / or
seasonal cycle of ice extent (e.g., Stroeve et al., 2007, 2012a; Wang and Overland, 2009, 2012), historical ice cover trends (Boe et al., 2009), and ice volume and thin ice area (Massonnet et al., 2012).
The direct radiative forcing (DRF) is strongest in the Northern Hemisphere summer when the insolation is the highest although different
seasonal cycles of the sulphate burden from the chemical transport models result in maximum global
mean radiative forcings ranging from May to August (e.g., Haywood and Ramaswamy, 1998), the ratio of the June - July - August / December - January - February radiative forcing being estimated to lie in the range less than 2 (e.g., van Dorland et al., 1997) to > 5 (e.g., Penner et al., 1998b; Grant et al., 1999) with a
mean of approximately 3.3.
Seasonal cycle Δαs / ΔTs values are the difference between 20th - century
mean April and May αs averaged over Northern Hemisphere continents divided by the difference between April and May Ts averaged over the same area and time period.
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).
(Graph data: The 1980 - 2015
seasonal cycle anomaly in MERRA2 along with the 95 % uncertainties on the estimate of the
mean.)
«Much of the work has focused on evaluating the models» ability to simulate the annual
mean state, the
seasonal cycle, and the inter-annual variability of the climate system, since good data is available for evaluating these aspects of the climate system.
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.
Random weather variability
means that a cooling from 10 - 17 April does not falsify the
seasonal cycle, nor would a warming verify it in any way, because the time period is just too short.
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.