Climate projections are distinguished from a href = «c.html #climate - predictions» > climate predictions in order to emphasize that climate projections depend upon the emission / concentration / radiative
forcing scenario used, which are based on assumptions concerning, for example, future socioeconomic and technological developments that may or may not be realized and are therefore subject to substantial uncertainty.
Climate projections are distinguished from climate predictions in order to emphasize that climate projections depend upon the emission / concentration / radiative
forcing scenario used, which are based on assumptions concerning, for example, future socioeconomic and technological developments that may or may not be realised and are therefore subject to substantial uncertainty.
Not exact matches
Should Parkin's nightmare
scenario pan out, the blame would lie not so much with Carney but with Ben Bernanke at the Federal Reserve, who is bent on
using the full
force of monetary policy to boost the U.S. economy, consequences be damned.
In the first
scenario drivers were given five laps to take Sergio Perez's
Force India to the best possible result around Monza, with the final score being based on things like finishing time, assists
used and how cleanly you drive.
The
scenario contemplated then is very different from the situation that has emerged, and the language
used, at least by the UK, does not hint at a
use of
force on the basis of national interest.
In the artificial
scenario of a polling question you can link those two things and
force people to consider them as one, you can
use a form of tax people answering the question aren't so familiar with.
The Buffalo police's main shortcoming was its lack of
scenario - based training, in which officers are placed in high - stress situations and have to make decisions about when and whether to
use force.
Buffalo police do not undergo that kind of
scenario - based training, where officers are put in life - like, adrenaline - inducing policing situations to practice making
use of
force decisions.
A study released last month in the Journal of Geophysical Research: Atmospheres
used three different models to run the same SSCE
scenario in which sea - salt engineering was
used in the low - latitude oceans to keep top - of - atmosphere radiative
forcing at the 2020 level for 50 years and was then abruptly turned off for 20 years.
Once the driving
force behind change at PIG was identified, future predictions could be made
using different ocean condition
scenarios, and the likelihood of significant retreat can be identified.
Note that 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) and as stated in previous years, the actual
forcings that occurred are not the same as those
used in the different
scenarios.
We noted in 2007, that
Scenario B was running a little high compared with the
forcings growth (by about 10 %)
using estimated
forcings up to 2003 (
Scenario A was significantly higher, and
Scenario C was lower), and we see no need to amend that conclusion now.
Methods: To understand the effects of economic
forces from climate policy on terrestrial carbon and land
use changes, the researchers
used the MiniCAM, an integrated assessment model developed by the PNNL team over the last two decades, to compare different
scenarios.
That empirical aerosol
forcing assessment for the past decade is consistent with the climate
forcings scenario (Fig. 8) that we
use for the past century in the present and prior studies [64], [190].
In Figure 4, Huber and Knutti break down the anthropogenic and natural
forcings into their individual components to quantify the amount of warming caused by each since the 1850s (Figure 4b), 1950s (4c), and projected from 2000 to 2050
using the IPCC SRES A2 emissions
scenario as business - as - usual (4d).
In that
scenario, Amazon would be the one that behaved badly, by
using its dominance in the e-book reader market to
force publishers to cut their profits.
From basic rabble to archers, knights and even dragons (these can actually be controlled by the player and can be
used to dispatch tactically placed volleys of flaming death upon your foes), your army can become quite large and multi-faceted, which is just as well really because at the end of a number of days the apocalypse kicks off and you have to lay the final smackdown on the
forces of evil and unpleasantness in order to win the
scenario.
One could
use the responses of all three
scenarios relative to their specific
forcings to make an estimate of what the model would have given
using the exact observed
forcings, but just
using scenario C — which has diverged significantly from the actual
forcings — is not going to be useful.
You can also create your own
scenarios «A», «B», «C» etc in a text file and
use your own
forcings as part of the simulated projections to see how the climate responds.
> The model simulations
use observed
forcings up until 2000 (or 2003 in a couple of cases) and >
use a business - as - usual
scenario subsequently (A1B).
The test of the model is whether, given the observed changes in
forcing, it produces a skillful prediction
using the
scenario most closely related to the observations — which is B (once you acknowledge the slight overestimate in the
forcings).
Regression analyses are performed as in Otto (2015),
using natural and anthropogenic
forcing timeseries (historical and the RCP8.5
scenario) with a regression constructed
using data from 1850 - 2016 (for HadCRUT4), and from 1880 - 2016 (for GISTEMP).
First off, there is no way that
Scenario A was more realistic — the proof is in figure 1 above which gives the real
forcings used.
Using the business - as - usual
scenario for GHG radiative
forcing (RCP8.5) and their novel estimate of Earth's warm - phase climate sensitivity the authors find that the resulting warming during the 21st century overlaps with the upper range of the Coupled Model Intercomparison Project Phase 5 (CMIP5) climate simulations.
This graph shows the
forcings (CO2, and other stuff)
used by Hansen in the model runs for each of his three future
scenarios, plotted alongside the actual climate
forcings that were observed.
MKL propose to adopt what appears to be a plausible but low - end
scenario of future radiative
forcing, whereas Houghton et al. (2001) indicates that even stronger radiative
forcing scenarios than we
use in KT04 are also plausible.
We will then proceed to describe the underlying socioeconomic assumptions that shape RCP4.5 and its associated reference
scenario and discuss the characteristics of RCP4.5, highlighting the global energy, economic, land
use, and land cover systems, as well as the mechanisms employed to limit radiative
forcing to 4.5 W m − 2 and contrast RCP4.5 to its reference
scenario.
They are
used to investigate the processes responsible for maintaining the general circulation and its natural and
forced variability (Chapter 8), to assess the role of various
forcing factors in observed climate change (Chapter 9) and to provide projections of the response of the system to
scenarios of future external
forcing (Chapter 10).
Here are some references that may be of some
use for looking at the individual
forcings in the
scenarios:
Representative Concentration Pathway (RCP) 4.5 is a
scenario of long - term, global emissions of greenhouse gases, short - lived species, and land -
use - land - cover which stabilizes radiative
forcing at 4.5 W m − 2 (approximately 650 ppm CO2 - equivalent) in the year 2100 without ever exceeding that value.
a, Global mean temperature anomalies produced
using an EBM
forced by historical changes in well - mixed greenhouse gases and future increases based on the A1B
scenario from the Intergovernmental Panel on Climate Change's Special Report on Emission
Scenarios.
We
used the multi-model mean warming associated with the RCP 8.5 emissions
scenario (out to 2050) as a representation of the quickest rate of
forced warming that could conceivably be occurring currently.
«Representative Concentration Pathway (RCP) 4.5 is a
scenario of long - term, global emissions of greenhouse gases, short - lived species, and land -
use - land - cover which stabilizes radiative
forcing at 4.5 Watts per meter squared (W m - 2, approximately 650 ppm CO2 - equivalent) in the year 2100 without ever exceeding that value.»
This project
used a compiled set of emission and
forcing scenarios called the Representative Concentration Pathways (RCP) to drive a group of the most complex climate available, so - called Atmosphere Ocean General Circulation Models.
As
scenario analysis is mooted as a useful tool to understand the risks of the energy transition, it is clear that
using a
scenario with no changes in technology and policy (the CPS) or the new policy
scenario (NPS)(AKA the «no new policies
scenario»), which includes what is already known about and set to come into
force does not help companies or their shareholders understand risk and opportunity.
So I asked Mr. Knappenberger to test the models» agreement with long - term observations
using a new «third»
scenario in which internal variability once again «enhances» the «externally
forced trend» and global warming resumes at the 1984 - 1998 rate of 0.265 ºC / decade.
Clearly a «climate projection» IS a «climate prediction,
using the IPCC definitions, when the emission / concentration / radiative
forcing scenario actually has occurred.
Inverse modeling
using Kaya's identity could identify the number of different pathways among the various combinations of possible input variables that could result in a specific radiative
forcing scenario (say + / - 10 %).
The figure can be
used if you know the radiative
forcing, and is handy in light of e.g. the RCP
scenarios which are given in terms of expected radiative
forcing.
This is in particular relevant for
scenario elements that are only indirectly coupled to the radiative
forcing targets such as land
use / land cover and air pollutant emissions.
Since there are some differences in the climate changes simulated by various models even if the same
forcing scenario is
used, the models are compared to assess the uncertainties in the responses.
For example,
scenarios that rely on the results from GCM experiments alone may be able to represent some of the uncertainties that relate to the modelling of the climate response to a given radiative
forcing, but might not embrace uncertainties caused by the modelling of atmospheric composition for a given emissions
scenario, or those related to future land -
use change.
We
use all available models that conducted simulations for the period 2016 — 2065 under the RCP8.5 radiative
forcing scenario.
In Figure 4, Huber and Knutti break down the anthropogenic and natural
forcings into their individual components to quantify the amount of warming caused by each since the 1850s (Figure 4b), 1950s (4c), and projected from 2000 to 2050
using the IPCC SRES A2 emissions
scenario as business - as - usual (4d).
Using radiation modeling we estimated how strong the climate
forcing would be for each
scenario, and then ran general circulation models to see how that
forcing would change the climate.
We make
use of a 40 - member ensemble of climate change simulations under historical and RCP8.5 radiative
forcing scenarios for the period 1920 — 2100 conducted with the Community Earth System Model Version 1 (CESM1; Hurrell et al. 2013).
The main purpose of the first phase (development of the RCPs) is to provide information on possible development trajectories for the main
forcing agents of climate change, consistent with current
scenario literature allowing subsequent analysis by both Climate models (CMs) and Integrated Assessment Models (IAMs).1 Climate modelers will
use the time series of future concentrations and emissions of greenhouse gases and air pollutants and land -
use change from the four RCPs in order to conduct new climate model experiments and produce new climate
scenarios as part of the parallel phase.
Using all 19 models, the average state in the last decade of the twenty - first century is projected under the SRES A1B
forcing scenario to be conditions currently considered severe drought (PDSI < — 3) over much of the continental United States and extreme drought (PDSI < — 4) over much of Mexico.
The words «concentration pathway» are meant to emphasize that these RCPs are not the final new, fully integrated
scenarios (i.e. they are not a complete package of socio - economic, emission and climate projections), but instead are internally consistent sets of projections of the components of radiative
forcing that are
used in subsequent phases.
Also, we
use several extreme
forcing scenarios.