In its section on the evaluation of climate models, it points out models may have difficulty simulating the course of
temperatures over short time periods, but doesn't directly discuss what's happening here and now.
Not exact matches
Scientists now think that massive volcanic activity, in a Large Igneous Province called the Siberian Traps, raised air and sea
temperatures and released toxic amounts of greenhouse gases into the atmosphere
over a very
short period of
time.
The body can cool itself
over a
short period of
time and return to a normal
temperature as long as cooling mechanisms are not overwhelmed by too much intense heat.
Re # 30 and 33: You might also want to look at this RealClimate post showing what sort of variations one sees for
temperature trends in climate models forced with steadily - increasing levels of CO2
over such
short time periods: http://www.realclimate.org/index.php/archives/2008/05/what-the-ipcc-models-really-say
Over very long time periods such that the carbon cycle is in equilibrium with the climate, one gets a sensitivity to global temperature of about 20 ppm CO2 / deg C, or 75 ppb CH4 / deg C. On shorter timescales, the sensitivity for CO2 must be less (since there is no time for the deep ocean to come into balance), and variations over the last 1000 years or so (which are less than 10 ppm), indicate that even if Moberg is correct, the maximum sensitivity is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for short term excursions (such as the 8.2 kyr event) has a similar sensitiv
Over very long
time periods such that the carbon cycle is in equilibrium with the climate, one gets a sensitivity to global
temperature of about 20 ppm CO2 / deg C, or 75 ppb CH4 / deg C. On
shorter timescales, the sensitivity for CO2 must be less (since there is no
time for the deep ocean to come into balance), and variations
over the last 1000 years or so (which are less than 10 ppm), indicate that even if Moberg is correct, the maximum sensitivity is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for short term excursions (such as the 8.2 kyr event) has a similar sensitiv
over the last 1000 years or so (which are less than 10 ppm), indicate that even if Moberg is correct, the maximum sensitivity is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for
short term excursions (such as the 8.2 kyr event) has a similar sensitivity.
Since CO2 isn't the only controller of
temperature, internal variability can cause
temperatures to decrease
over these relatively
short periods of
time.
Weather Atmospheric conditions in a particular location
over a
short period of
time Includes:
temperature,
Over a very
short period of
time, from the winter of 1915/16 to the winter of 1921/22, winter
temperatures had risen by about 10ºC, never coming back to pre 1918/19 level, but increasing at a lower level until ca. 1940.
************** «witchtistics»: use of a «witch stick» (eg, least squares regression) to «divine» the global
temperature temperature trend (or other climatological trends)
over short time periods.
Your «standstill» here is just the fact that one can't statistically detect a warming trend in the mentioned
temperature anomaly
over the
short time period of the recent decade.
In recent decades, much research on these topics has raised the questions of «tipping points» and «system flips,» where feedbacks in the system compound to rapidly cause massive reorganization of global climate
over very
short periods of
time — a truncation or reorganization of the thermohaline circulation or of food web structures, for instance, caused by the loss of sea ice or warming ocean
temperatures.
Over short periods of
time natural variability such as from ENSO for example, can create
short term effects that run contrary to the longer term trend of increasing ocean heat content and higher tropospheric
temperatures.
The view of global
temperature prior to MBH98 was of considerable variability, with both hotter and considerably colder
times (in comparison with today)
over the last two thousand years, with significant
temperature swings
over comparatively
short time periods.
It doesn't mean that there can't be any natural variability that appears as wobbles in the
temperature record (or in other climate variables), masking the multi-decadal
temperature trend
over a
time scale
shorter than 20 years with the effect that the longer term trend is not statistically detectable in the
time series, if one chooses the
time period only
short enough.
Jan Perlwitz says:» It doesn't mean that there can't be any natural variability that appears as wobbles in the
temperature record (or in other climate variables), masking the multi-decadal
temperature trend
over a
time scale
shorter than 20 years with the effect that the longer term trend is not statistically detectable in the
time series, if one chooses the
time period only
short enough.»
Heck, in order to make a statistically significant change
over such a
short period of
time and overcome the noise, there would have to be a very hefty drop in
temperatures.
This
time period is too
short to signify a change in the warming trend, as climate trends are measured
over periods of decades, not years.12, 29,30,31,32 Such decade - long slowdowns or even reversals in trend have occurred before in the global instrumental record (for example, 1900 - 1910 and 1940 - 1950; see Figure 2.2), including three decade - long
periods since 1970, each followed by a sharp
temperature rise.33 Nonetheless, satellite and ocean observations indicate that the Earth - atmosphere climate system has continued to gain heat energy.34
Judith writes: «Comparing the model
temperature anomalies with observed
temperature anomalies, particularly
over relatively
short periods, is complicated by the acknowledgement that climate models do not simulate the
timing of ENSO and other modes of natural internal variability...»
Temperatures cherry - picked from a
short time period are going to deviate from the mean value
over a longer
period.
Comparing the model
temperature anomalies with observed
temperature anomalies, particularly
over relatively
short periods, is complicated by the acknowledgement that climate models do not simulate the
timing of ENSO and other modes of natural internal variability; further the underlying trends might be different.
If the sea level response to a change in
temperature is an exponential decay to equilibrium then given that the 0.8 C
temperature increase since pre-industrial
times occurred
over a relatively
short time period relative to
time scale of the ice - albedo feedback, the expected rate of sea level rise should be approximately 3 m / C * 0.8 C / 560 y = 43 cm per century.