So where are the researchers of old who went about studying flora and fauna populations tied to oceanic /
land temperature cycles?
Not exact matches
The apparent rise in evapotranspiration — the process by which water is transferred from the
land to the atmosphere by evaporation from plants and soil — is increasing potential drought risk with rising
temperature trends, especially during periodic drought
cycles that have been linked with strong El Nino events.
They wrote that their comparisons of sea - level pressures, sea - surface
temperatures and
land - based air
temperatures provided «consistent evidence for strong» regulation of
temperatures by changes in ocean
cycles «from monthly to century time scales.»
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.
SO just HOW can we justify that that the outflow in the computer MUST be less than inflow for the 250 years of the computer run, when clearly the daily
temperature cycle will reestablish the equilibrium (at least for the atmosphere & ground — not sure about deep ocean equilibrium, BUT I also know that there is MUCH MUCH MORE energy stored in the
Land (eg solid iron core of earth) than in the ocean & the GCMs do NOT address this either).
The glaciological community has for decades harbored the widespread belief that the thermal evolution of the ice sheet, and the effect of this evolution on ice flow, are central in the ice - age
cycling (not all communities agree, but there is plenty of literature on this from the
land - ice crowd), so use of a
temperature - independent rheology for the ice leaves out one favored explanation for termination of extensive glaciation.
Indeed, within the 164 years of data it is questionable if any
cycle can be convincingly demonstrated between the NH Ocean &
Land temperatures.
By comparing modelled and observed changes in such indices, which include the global mean surface
temperature, the
land - ocean
temperature contrast, the
temperature contrast between the NH and SH, the mean magnitude of the annual
cycle in
temperature over
land and the mean meridional
temperature gradient in the NH mid-latitudes, Braganza et al. (2004) estimate that anthropogenic forcing accounts for almost all of the warming observed between 1946 and 1995 whereas warming between 1896 and 1945 is explained by a combination of anthropogenic and natural forcing and internal variability.
[Response: I guess you missed the part about them only showing correlation with short - term fluctuations — nothing at all to do with any «70 - yr
cycle» — in
temperature over
land only.
These methods have been significantly improved by fully coupling the hydrologic
cycle among
land, lake, and atmosphere.94, 95 Without accounting for that
cycle of interactions, a study96 concluded that increases in precipitation would be negated by increases in winter evaporation from less ice cover and by increases in summer evaporation and evapotranspiration from warmer air
temperatures, under a scenario of continued increases in global emissions (SRES A2 scenario).
> We analyze and compare the monthly global
land - sea surface
temperature datasets HADCRUT3 and HADCRUT4 for 1850 - 2010 by subtracting two analytically modeled components and demonstrating with a suitable low - pass filter that the residue contains no significant fluctuations with periods longer than the 22 - year Hale
cycle.
They wrote that their comparisons of sea - level pressures, sea - surface
temperatures and
land - based air
temperatures provided «consistent evidence for strong» regulation of
temperatures by changes in ocean
cycles «from monthly to century time scales.»
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 results hold implications for
land management, improved climate change models, and a better understanding of carbon
cycling in soil microbial communities and how changes in global
temperatures impact Earth's deserts.
The «curve - fitting» reveals the 60 - year 0.2 degree amplitude
cycle that the skeptics are so excited about, but also shows that the AMO lags the
land temperature in this frequency range.
Back in the old days, before the
land temperature records were subjected to bouts of data diddling to conceal the awful truth, one could scrutinise the graphs back to 1850 and clearly see the alternate warmer / cooler regimes in roughly 30 - year
cycles that even the dullest brain could imagine was a manifestation of natural
cycles.
The most likely candidate for that climatic variable force that comes to mind is solar variability (because I can think of no other force that can change or reverse in a different trend often enough, and quick enough to account for the historical climatic record) and the primary and secondary effects associated with this solar variability which I feel are a significant player in glacial / inter-glacial
cycles, counter climatic trends when taken into consideration with these factors which are, land / ocean arrangements, mean land elevation, mean magnetic field strength of the earth (magnetic excursions), the mean state of the climate (average global temperature), the initial state of the earth's climate (how close to interglacial - glacial threshold condition it is) the state of random terrestrial (violent volcanic eruption, or a random atmospheric circulation / oceanic pattern that feeds upon itself possibly) / extra terrestrial events (super-nova in vicinity of earth or a random impact) along with Milankovitch C
cycles, counter climatic trends when taken into consideration with these factors which are,
land / ocean arrangements, mean
land elevation, mean magnetic field strength of the earth (magnetic excursions), the mean state of the climate (average global
temperature), the initial state of the earth's climate (how close to interglacial - glacial threshold condition it is) the state of random terrestrial (violent volcanic eruption, or a random atmospheric circulation / oceanic pattern that feeds upon itself possibly) / extra terrestrial events (super-nova in vicinity of earth or a random impact) along with Milankovitch
CyclesCycles.
(3)
Land air / soil annual temperature cycles are more extreme than oceanic water temperature cycles overall (in the way they affect the metabolism of land plan
Land air / soil annual
temperature cycles are more extreme than oceanic water
temperature cycles overall (in the way they affect the metabolism of
land plan
land plants).
(2) This means the total NH photosynthesizing biomass has a higher proportion of
land plants which interact directly with atmospheric CO2 and hence the bulk C12 - C13 - C14 fractionation process is more characteristic of
land plants and more susceptible to both the annual
land cycle of air / soil
temperatures and short term differences in the input to the atmosphere of C - 13 and C - 14 by anthropogenic sources.
Weathering may depend on properties like
temperature, pCO2,
land ice abrasion, and sea level change but has been suggested to be stable over glacial − interglacial
cycles (54).
If the cause of warming is from a widespread phenomenon such as the greenhouse effect, solar
cycles or possibly a volcanic eruption that reaches into the stratosphere, then the troposphere will respond in line with SST and
land temperatures.
A similar phenomenon happens on
land: at depths of a few tens of cm, the daily
cycle of surface
temperature is both reduced in amplitude and lagged in time.
The researchers find a strong correlation between North Atlantic
temperature cycles lasting decades, and the global
land surface
temperature.
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.