That was the message of a report released Monday on
model scenarios about Michigan's energy future.
Not exact matches
Though it's anyone's guess how the data might influence the Fed's thinking
about the pace of rate hikes, the contrasting views of policymakers suggest that now may be time for investors to
model the impact of the three
scenarios on their portfolios.
They used two different climate
models, each with a different sensitivity to carbon dioxide, to project California's future under two
scenarios: an optimistic one, in which we only double the level of carbon dioxide in the atmosphere — since the 19th century we've already increased it by
about a third — and a pessimistic
scenario, in which we more than triple CO2.
In addition to documenting the amount of defensive ecosystems in the U.S., the researchers fed data
about property values, population, income and age into a
model that tested four sea - level rise
scenarios.
As can be seen your graph, our climate
models make a wide range of predictions (perhaps 0.5 - 5 degC, a 10-fold uncertainty)
about how much «committed warming» will occur in the future under any stabilization
scenario, so we don't seem to have a decent understanding of these processes.
On the limited information available to me, they seem quite promising — but it certainly would have been helpful in making judgments on this point if the IPCC had
modelled a low - medium population projection (as in the A1 and B1
scenarios) which made more moderate assumptions
about growth in output and energy use.
The goal of the Integrated
Scenarios project is to use the global climate
models to describe as accurately as possible what the latest science says
about the Northwest's future climate.
A couple of commentators (Pat Michaels, Roy Spencer) recently raised an issue
about the standard
scenarios used to compare climate
models, in this case related to a study on the potential increase in hurricane activity.
The cool thing
about this collection is it's comprised of in - real - life
scenarios — no
models or studio pics here — rather personal selfies uploaded most likely various social networks.
Although it might be seen as a worst - case
scenario, underneath the comedic surface of the material are serious themes
about the dangers of bad parenting, particularly in how children learn to be just as corrupt as their parents in the absence of strong role
models and people to help mold them into upright individuals.
Recording Observations: Have students record their observations
about which flooding
scenario caused more damage to the
model houses and the floodplain, and compare these to the observations of their peers.
The «better» and «best»
scenarios can be achieved by plopping down $ 449 (
about # 297, AU$ 637, though official pricing outside of the US has yet to be announced) on a mid-range Steam Machine from Alienware, or up to $ 4,999 (
about # 3311, AU$ 7093) on a high - end
model pieced together by boutique PC manufacturers, like Gigabyte, Falcon Northwest, Origin and Digital Storm.
On the limited information available to me, they seem quite promising — but it certainly would have been helpful in making judgments on this point if the IPCC had
modelled a low - medium population projection (as in the A1 and B1
scenarios) which made more moderate assumptions
about growth in output and energy use.
[Response: I don't have a
model of the
scenario they're talking
about.
R.E. Benestad (2002), Empirically downscaled multi-model ensemble temperature and precipitation
scenarios for Norway, Journal of Climate Vol 51, No. 21, 3008 - 3027 R.E. Benestad (2003) What can present climate
models tell us
about climate change?
As stated last year, the
Scenario B in that paper is running a little high compared with the actual forcings growth (by
about 10 %)(and high compared to A1B), and the old GISS
model had a climate sensitivity that was a little higher (4.2 ºC for a doubling of CO2) than the best estimate (~ 3ºC).
Extending the data out to last year — 2006 — we see the temperature trend is still below
Scenario C and
about 0.2 C below
Scenario B. I am asserting that the 1998
models over-estimate the impact on global temperature.
It is definately a non linear
scenario as we are talking
about mulitple + ve feedbacks in play so a compounding graph will fit the
model better.
Incidentally, I have been unable to find out if the
models which are producing the GW
scenarios include some allowance for the fact that the ocean / atmosphere interface (the boundary layer, so called, an irritating nomenclature as the words already have a technical meaning) was changed drastically from
about 1850 onwards by surfactant and oil spill pollution as the petrochemical industry and petrol engine technologies began to hit their stride.
Based on results from large ensemble simulations with the Community Earth System
Model, we show that internal variability alone leads to a prediction uncertainty of
about two decades, while
scenario uncertainty between the strong (Representative Concentration Pathway (RCP) 8.5) and medium (RCP4.5) forcing
scenarios [possible paths for greenhouse gas emissions] adds at least another 5 years.
Raw climate
model results for a business - as - usual
scenario indicate that we can expect global temperatures to increase anywhere in the range of 5.8 and 10.6 degrees Fahrenheit (3.2 to 5.9 degrees Celsius) over preindustrial levels by the end of the century — a difference of
about a factor of two between the most - and least - severe projections.
In fact, why can't you go one step further and forget
about even trying to decide which of the
scenarios presented were the most realistic and just dig up the
model, plug in the emissions numbers, volcanic eruptions, etc. from the last couple decades and see how well the
model holds up.
These two
scenarios use the same
model, and thus the same assumptions
about foresight and capital stock turnover.
Asside from the arguments over who is being dishonest
about the testimony... didn't
scenario B turn out to be closer to what actually happened RE said boundary conditions and so should not that be the proper comparison result (over time) for the Hansen
model at this time?
2: Our Changing Climate, Key Message 5).2 Regional climate
models (RCMs) using the same emissions
scenario also project increased spring precipitation (9 % in 2041 - 2062 relative to 1979 - 2000) and decreased summer precipitation (by an average of
about 8 % in 2041 - 2062 relative to 1979 - 2000) particularly in the southern portions of the Midwest.12 Increases in the frequency and intensity of extreme precipitation are projected across the entire region in both GCM and RCM simulations (Figure 18.6), and these increases are generally larger than the projected changes in average precipitation.12, 2
The
scenarios that scientists are looking at depend on measurements of air and water temperatures taken at hundreds of sites around the world, as well as complex
models about how trends will evolve in the coming decades.
«No matter how fast or sophisticated those
models are, feeding them false or unproven assumptions
about CO2 and manipulated or «homogenized» temperature data still yields garbage output,
scenarios and predictions.»
The group developed a proposal later adopted by the WG, which states that by 2050, annual CO2 emissions derived from Earth System
Models following RCP2.6, a mitigation scenario, are smaller than 1990 emissions, and that by the end of the 21st century, about half of the models infer emissions slightly above zero, while the other half infer a net removal of CO2 from the atmos
Models following RCP2.6, a mitigation
scenario, are smaller than 1990 emissions, and that by the end of the 21st century,
about half of the
models infer emissions slightly above zero, while the other half infer a net removal of CO2 from the atmos
models infer emissions slightly above zero, while the other half infer a net removal of CO2 from the atmosphere.
Patrick Brown and Ken Caldeira of the Carnegie Institution for Science say incorporating observational data of «Earth's top - of - atmosphere energy budget» shows the «warming projection for the end of the twenty - first century for the steepest radiative forcing
scenario is
about 15 per cent warmer (+0.5 degrees Celsius)... relative to the raw
model projections reported by the Intergovernmental Panel on Climate Change.»
Cryosphere: Projections on developments in the cryosphere inspired interventions, during which delegates questioned the CLAs
about levels of certainty,
models and the utilization of different
scenarios.
For various
model - based storylines and
scenarios IPCC AR4 WG1
models estimate an increase between 1.1 and 6.4 C, so this is just outside the lowest end of the IPCC range (and nothing to worry
about).
The
modeling results indicate that, if nations continue to increase their emissions of greenhouse gases in a «business as usual»
scenario, the U.S. ratio of daily record high to record low temperatures would increase to
about 20 - to - 1 by mid-century and 50 - to - 1 by 2100.
In as much as none of the
model scenarios can be validated, all predictions
about future climate conditions amount to nothing more that, «Wait to see if our predictions come true; you'll see then.
In my experience this is certainly the case if you talk
about the simulations as predictions rather than projections — the climate
models are not predicting what the weather will be on the 5th of May 2051 — they are providing projections of the climate based on emission
scenarios and initial conditions.
Do you feel that some of the sometimes discussed positive feedback loops that Tim Lenton and others have researched and written
about, do you think those are incorporated and discussed enough into some of this
modelling and
scenario work?
The assumptions
about renewable energies used in this
scenario and the
modelling are based on misconceptions.
Even if you quibble
about the meaning of the term «significant», the fact that none of the datasets have risen to the levels predicted by past climate
models — even in their «best case
scenarios» for CO2 emissions — still blows the hypothesis out of the water.
A new carbon tax calculator from the research firm E3 lets you
model carbon tax rates in a national setting; in one test
scenario a flat $ 5 per ton carbon tax still generates
about a 6 % CO2 reduction.
Each
model run is of value as it presents a «what if»
scenario from which we may learn
about the
model or the Earth system.
2: Our Changing Climate, Key Messages 5 and 6).4, 10 A range of
model projections for the end of this century under a higher emissions
scenario (A2), averaged over the region, suggests
about 5 % to 20 % (25th to 75th percentile of
model projections) increases in winter precipitation.
In particular, we find that the observationally informed warming projection for the end of the twenty - first century for the steepest radiative forcing
scenario is
about 15 per cent warmer (+0.5 degrees Celsius) with a reduction of
about a third in the two - standard - deviation spread (− 1.2 degrees Celsius) relative to the raw
model projections reported by the Intergovernmental Panel on Climate Change.»
The main result of the paper, as highlighted in the abstract, is that for the highest - emissions RCP8.5
scenario predicted warming circa 2090 [7] is
about 15 % higher than the raw multimodel mean, and has a spread only
about two - thirds as large as that for the
model - ensemble.
David Stockwell's paper on how to improve the methodology for adjusting the raw temperature data or for adjusting for missing temperature data is distinct from computer
modelling where an algorithm is employed based on various assumptions
about AGW, CO2, clouds and the like to predict future climate «
scenarios».
More information
about the
models and
scenarios used in this report can be found in Appendix 5 of the full report.1
So if you are genuinely serious
about wanting to evaluation the skill of the prediction, you use
scenario B. Scenario A is just wrong; and manaker's statements about the data — even the emissions, let alone the model input — are in
scenario B.
Scenario A is just wrong; and manaker's statements about the data — even the emissions, let alone the model input — are in
Scenario A is just wrong; and manaker's statements
about the data — even the emissions, let alone the
model input — are incorrect.
What is the value of an integrated assessment
model that combines highly unlikely physical
scenarios with an economic
model that does economic calculations based on numbers that are throughout pure guesswork, and does that furthermore in a way that overemphasizes highly the part of the period on which we know as little as 19th century people knew
about today?
This is what the IPCC
scenario excercise is all
about, and why the
model simulations for the future are called projections, not predictions.
Similarly, the climate
scenarios were based on 2xCO2 equilibrium GCM projections from three
models, where the radiative forcing of climate was interpreted as the combined concentrations of CO2 (555 ppm) and other greenhouse gases (contributing
about 15 % of the change in forcing) equivalent to a doubling of CO2, assumed to occur in
about 2060.
The weather
model showed that extreme summertime surface temperatures developed when carbon dioxide emissions were assumed to continue to increase
about two percent a year, the «business as usual»
scenario.
They constantly talk
about how good the
models are, how you can count on the predictions (ahem, «
scenarios»).