There are many who will not like this recent paper published in Nature Communications on principle as it talks of the hiatus in global temperatures for the past 20 years or so, that the Little Ice Age was global in extent, and that climate models can
not account for the observations we already have let alone make adequate predictions about what will happen in the future.
I suspect that it looked OK in your view or you didn't check; «the paper i cited talks of the hiatus in global temperatures for the past 20 years or so, that the Little Ice Age was global in extent, and that climate models can
not account for the observations we already have let alone make adequate predictions about what will happen in the future.
that climate models can
not account for the observations we already have let alone make adequate predictions about what will happen in the future.that century - scale variations in tropical Pacific climate modes can significantly modulate radiatively forced shifts in global temperature.»
Not exact matches
Thus Polanyi concludes that, «When Einstein discovered rationality in nature, unaided by any
observation that had
not been available
for at least fifty years before, our positivistic textbooks promptly covered up the scandal by an appropriately embellished
account of his discovery.»
Second, the induction to the new set of laws is
not a generalization from particulars; the role of prior theory in guiding
observation (of data or selection of uniformities) is
accounted for.
Therefore, these explanations do
not appear to
account for the
observations reported here.
However, as with other observational studies, these results may have been affected by confounding variables that were unknown and thus
not accounted for, and the
observation of an association gives no proof of causality.
Instead, the web special opened with «Estimates of future global temperatures based on recent
observations must
account for the differing characteristics of each important driver of recent climate change», which sounds a bit ho - hum, if
not, well, duh?
Past calculations of orbital elements and system mass ratios based on astrometry (and other visual
observations) and the spectral type of Star Ba (G0 - 5) indicate that HD 98230 b is
not massive enough to fully
account for subsystem B, and suggest the existence of a stellar companion (i.e., Bc).
There is a profound inconsistency between these
observations and «under - connectivity» or hypo - connectivity theories that by and large do
not account for the possibility of an early phase of neural hyper - connectivity in ASD.
Past calculations of orbital elements and system mass ratios based on astrometry — and other visual
observations — and the spectral type of Star Ba (G0 - 5) indicate that Xi Ursae Majoris Bb is
not massive enough to fully
account for subsystem B (e.g., Wulff Dieter Heintz, 1996, page 411), and suggest the existence of a stellar companion (i.e., Bc).
These write - ups are especially ill received by teachers who work diligently to differentiate instruction
for their students yet their informal
observation paperwork says doesn't
account for this effort.
These write - ups are especially ill received by teachers who work diligently to differentiate instruction
for their students yet their informal
observation paperwork doesn't
account for this effort.
As in most districts, the new evaluations replace a system that involved minimal
observation, did
not account for test scores and graded teachers simply as satisfactory or unsatisfactory, with few ever getting the latter.
Again, thanks to Kyriakos
for his previous reply — I'm pleased to hear my «
observations... will [be] take [
n] into
account».
It seems to me that they must show deeper mixing than 50 M, since there is
not enough mass in the upper 50 meters of ocean to
account for the annual heat storage changes that are implied by
observations for the the full integrated 700 meter volume of ocean.
You can also
account for possible errors in the amplitudes of the external forcing and the model response by scaling the signal patterns to best match the
observations without influencing the attribution from fingerprinting methods, and this provides a more robust framework
for attributing signals than simply looking at the time history of global temperature in models and obs and seeing if they match up or
not.
* Indeed, possible errors in the amplitudes of the external forcing and a models response are
accounted for by scaling the signal patterns to best match
observations, and thus the robustness of the IPCC conclusion is
not slaved to uncertainties in aerosol forcing or sensitivity being off.
Instead, the web special opened with «Estimates of future global temperatures based on recent
observations must
account for the differing characteristics of each important driver of recent climate change», which sounds a bit ho - hum, if
not, well, duh?
... a pronounced strengthening in Pacific trade winds over the past two decades — unprecedented in
observations / reanalysis data and
not captured by climate models — is sufficient to
account for the cooling of the tropical Pacific and a substantial slowdown in surface warming through increased subsurface ocean heat uptake.
Abstract:... Here we show that a pronounced strengthening in Pacific trade winds over the past two decades — unprecedented in
observations / reanalysis data and
not captured by climate models — is sufficient to
account for the cooling of the tropical Pacific and a substantial slowdown in surface warming through increased subsurface ocean heat uptake.
The models in the case of AGW, are a little more scientific than either approach /;, the variables can
not all be counted
for, but they do provide insights to the totality of the research, and the models, (and data fed into the models) satellite data and
observations from researchers in the geographical areas affected by GW, agree more than do
not, as long as the averages are taken into
account.
Some biases are corrected
for (time of
observation, re-siting to place), but it is fair to say
not all biases are
accounted for.
The high confidence level ascribed by the IPCC provides bootstrapped plausibility to the uncertain temperature
observations, uncertain forcing, and uncertain model sensitivity, each of which has been demonstrated in the previous sections to have large uncertainties that were
not accounted for in the conclusion.
Third, because the maximum warming lags emissions of carbons by about a decade, budgets based on ESMs (or combined
observations / ESMs) do
not fully
account for emissions over the final decade before the 1.5 C threshold is exceeded.
(Equally the AOGCMs are
not compatible with these satellite - based
observations, since none of them manage to simulate or
account for this increase in net received shortwave over this key period.)
The model does
not include the urban effects that are
accounted for in the methodology based on
observations of urban stations.
While it takes into
account earlier planning exercises in arctic research, it also includes some ideas that have
not been explicitly articulated previously, such as defining NSF's possible role in contaminant studies, the importance of long - term
observations and monitoring as a foundation
for basic research in the Arctic, and the significance of the Arctic in high atmosphere studies.
Critcisms of the energy budget model approach are that it is sensitive to uncertainties in
observations and doesn't
account for slow feedbacks between the atmosphere, deep oceans and ice sheets.
CFCs and CO2 are therefore
not required to
account for observations or are far less important than previously proposed.
The forcing from changes in total solar irradiance alone does
not seem to
account for these
observations, implying the existence of an (unknown) amplifying mechanism.
Consider this key sentence: «The (climate) forcing from changes in total solar irradiance alone does
not seem to
account for these
observations, implying the existence of an amplifying mechanism such as the hypothesized GCR - cloud link.»
A fairer comparsion would involve also adjusting the
observations to
account for the effects of internal variablity (e.g. by regression analysis to remove the effects of ENSO and volcanic forcings which the models do
not include).
The authors also note that their estimates can
not account for the huge ice loss measured by satellite
observations and gravitational measurements from the GRACE satellite.
st Order Draft, the Second Order Draft, p7, cites several papers re empirical relationships between GCR and aspects of the climate system and notes: «The forcing from changes in total solar irradiance alone does
not seem to
account for these
observations, implying the existence of an amplifying mechanism such as the hypothesiz GCR - cloud link.»
The forcing from changes in total solar irradiance alone does
not seem to
account for these
observations, implying the existence of this unknown amplifying mechanism.The cosmic ray - ionization mechanism is too weak to influence global concentrations of CCN or their change over the last century or during a solar cycle in any climatically significant way.
The forcingfrom changes in total solar irradiance alone does
not seem to
account for these
observations, implying the existence of an (unknown) amplifying mechanism.
This is similar to the argument Benoit Mandelbrot and Nassim Taleb made about Mandelbrot's
observation that fluctuations in markets
for shares, futures, and commodities are
not normally distributed but have fat tails: this means that standard risk - management practices (e.g., stress - testing portfolios) will fail to
account properly
for extremely unlikely events.
If however you could make a positive suggestion as to alternative mechanism to
account for observations then that would be welcome but I hold out no hope of that because you don't even accept that the
observations do differ from what we would expect from internal system variability on it's own.
They did
not account for modern
observations in calibrating marine ice - sheet instability, or probe rates of ice - cliff collapse as fast as the fastest currently seen in Greenland.
«The scientific method demands that even if there is only one
observation not fully explained by a hypothesis the hypothesis must be dropped or modified to fully
account for all
observations.»