The big takeaway from this study: While there is
uncertainty in projections for changes in the climate indices reviewed here (especially El Niño and La Niña), this study serves to alert us to the fact that the climate impacts that our local coastal communities face are based in large part on changes that occur on both a large, global scale and over the long, decadal term.
The IPCC Fifth Assessment Report contained significant
uncertainty in its projections for glacier contributions to sea level rise over the course of the 21st century.
Not exact matches
However, given the
uncertainties caused by the financial crisis, the Harper Government introduced the «risk adjustment factor»
in its October 2010 Update of Economic and Fiscal
Projections, whereby the average of the private sector economic forecasts
for nominal GDP was adjusted downwards
for fiscal planning purposes.
In consultation with a divorce financial planner, who can assist you in gaining financial control from possible economic uncertainty, account for budgetary projections and calculate what realistic financial resources you will have to pay for your retiremen
In consultation with a divorce financial planner, who can assist you
in gaining financial control from possible economic uncertainty, account for budgetary projections and calculate what realistic financial resources you will have to pay for your retiremen
in gaining financial control from possible economic
uncertainty, account
for budgetary
projections and calculate what realistic financial resources you will have to pay
for your retirement.
Apart from the
uncertainty associated with the risks noted above and the lack of credible prudence
in the budget
projections, we continue to believe that the forecast
for «other revenues» is overstated and that
for «direct program expenses» is understated.
We've narrowed the
uncertainty in surface warming
projections by generating thousands of climate simulations that each closely match observational records
for nine key climate metrics, including warming and ocean heat content.»
Due mainly to
uncertainties in future greenhouse emissions,
projections for the 2050s and 2080s diverge more — but
in all scenarios mortality would rise steeply.
An important goal of climate research is to reduce and characterize
uncertainty in the climate change
projections so that they can be more useful
for assessing climate change impacts and developing adaptation and mitigation strategies.
As research leaders
in developing and using models to provide scientific insights into weather and climate change, Qian and others are striving to understand
uncertainty in systems and modeling to improve
projections and help prepare vulnerable regions
for potential climate change impact.
It is not all that earthshaking that the numbers
in Schmittner et al come
in a little low: the 2.3 ºC is well within previously accepted
uncertainty, and three of the IPCC AR4 models used
for future
projections have a climate sensitivity of 2.3 ºC or lower, so that the range of IPCC
projections already encompasses this possibility.
Due to an expected additional drag on global investment connected to U.S. trade policy
uncertainty, the report included slightly lower
projections for export growth
in 2017 and 2018 compared to the bank's earlier predictions.
The data looks at historical and current information, not future
projections For - profit education stocks have a cloud of uncertainty weighing on their share prices as investors worry about the potential for litigation and additional regulation (STRA also appeared in one my recent Seeking Alpha article here where I discussed its recent performanc
For - profit education stocks have a cloud of
uncertainty weighing on their share prices as investors worry about the potential
for litigation and additional regulation (STRA also appeared in one my recent Seeking Alpha article here where I discussed its recent performanc
for litigation and additional regulation (STRA also appeared
in one my recent Seeking Alpha article here where I discussed its recent performance).
None of the large scale models used
for the IPCC
projections have been calibrated on the last millennium — because of
uncertainty in the temperatures and
uncertainties in the forcings.
(
in general, whether
for future
projections or historical reconstructions or estimates of climate sensitivity, I tend to be sympathetic to arguments of more rather than less
uncertainty because I feel like
in general, models and statistical approaches are not exhaustive and it is «plausible» that additional factors could lead to either higher or lower estimates than seen with a single approach.
Periods that are of possibly the most interest
for testing sensitivities associated with
uncertainties in future
projections are the mid-Holocene (
for tropical rainfall, sea ice), the 8.2 kyr event (
for the ocean thermohaline circulation), the last two millennia (
for decadal / multi-decadal variability), the last interglacial (
for ice sheets / sea level) etc..
In the political arena, things like natural variablity and uncertainty are introduced quite often, but in Science, the logic is reversed: if the past is more variable than we think, or the more uncertainty in higher - end projections, the more worry for the futur
In the political arena, things like natural variablity and
uncertainty are introduced quite often, but
in Science, the logic is reversed: if the past is more variable than we think, or the more uncertainty in higher - end projections, the more worry for the futur
in Science, the logic is reversed: if the past is more variable than we think, or the more
uncertainty in higher - end projections, the more worry for the futur
in higher - end
projections, the more worry
for the future.
In fact it is the opposite — Hansen is actually claiming that the uncertainty in models (for instance, in the climate sensitivity) is now less than the uncertainty in the emissions scenarios (i.e. it is the uncertainty in the forcings, that drives the uncertainty in the projections
In fact it is the opposite — Hansen is actually claiming that the
uncertainty in models (for instance, in the climate sensitivity) is now less than the uncertainty in the emissions scenarios (i.e. it is the uncertainty in the forcings, that drives the uncertainty in the projections
in models (
for instance,
in the climate sensitivity) is now less than the uncertainty in the emissions scenarios (i.e. it is the uncertainty in the forcings, that drives the uncertainty in the projections
in the climate sensitivity) is now less than the
uncertainty in the emissions scenarios (i.e. it is the uncertainty in the forcings, that drives the uncertainty in the projections
in the emissions scenarios (i.e. it is the
uncertainty in the forcings, that drives the uncertainty in the projections
in the forcings, that drives the
uncertainty in the projections
in the
projections).
PLUMES (Pathways
for linking
uncertainties in climate model
projections and effects)(2014 - 2018).
In addition to assessing changes in ESL frequencies, the authors also highlighted the importance of the uncertainties inherent to the extreme value analysis, which have often been ignored in impact studies, and demonstrated how they can be accounted for alongside the uncertainties in SLR projection
In addition to assessing changes
in ESL frequencies, the authors also highlighted the importance of the uncertainties inherent to the extreme value analysis, which have often been ignored in impact studies, and demonstrated how they can be accounted for alongside the uncertainties in SLR projection
in ESL frequencies, the authors also highlighted the importance of the
uncertainties inherent to the extreme value analysis, which have often been ignored
in impact studies, and demonstrated how they can be accounted for alongside the uncertainties in SLR projection
in impact studies, and demonstrated how they can be accounted
for alongside the
uncertainties in SLR projection
in SLR
projections.
According to GWEC,
projections are strong
for North American
in 2015 & 2016 but projecting beyond that is difficult due to
uncertainty with regards to policy and potential changes within the US Congress.
In fact, uncertainties in how clouds change with warming are the primary source of the large spread in climate projections for the next century (Bony and Dufresne 2005; Vial et al. 2013; Brient and Schneider 2016
In fact,
uncertainties in how clouds change with warming are the primary source of the large spread in climate projections for the next century (Bony and Dufresne 2005; Vial et al. 2013; Brient and Schneider 2016
in how clouds change with warming are the primary source of the large spread
in climate projections for the next century (Bony and Dufresne 2005; Vial et al. 2013; Brient and Schneider 2016
in climate
projections for the next century (Bony and Dufresne 2005; Vial et al. 2013; Brient and Schneider 2016).
Furthermore, the parameters
for the certainty or
uncertainty of continued sea ice loss can be established based on
projections of total energy content
in the Arctic environment.
Differences between high and low
projections in climate models used by the IPCC stem mainly from
uncertainties over feedback mechanisms -
for example, how the carbon cycle and clouds will react to future warming.
Projections are distinguished from predictions in order to emphasize that projections involve assumptions concerning, for example, future socioeconomic and technological developments that may or may not be realized, and are therefore subject to substantial u
Projections are distinguished from predictions
in order to emphasize that
projections involve assumptions concerning, for example, future socioeconomic and technological developments that may or may not be realized, and are therefore subject to substantial u
projections involve assumptions concerning,
for example, future socioeconomic and technological developments that may or may not be realized, and are therefore subject to substantial
uncertainty.
Contribution from working group I to the fifth assessment report by IPCC TS.5.4.1 Projected Near - term Changes
in Climate
Projections of near - term climate show small sensitivity to Green House Gas scenarios compared to model spread, but substantial sensitivity to
uncertainties in aerosol emissions, especially on regional scales and
for hydrological cycle variables.
The best example I've found of clear thinking about how to develop strategies
for dealing with the
uncertainties that inevitably arise when moving from the abstract to the specific is contained
in the UK Climate
Projections report of 2009 on London.
In this way the climate scientists can ensure that the
projections are understood with their associated
uncertainties, and the impacts / adaptation researchers can ensure that the climate scientists are aware of the parts of the climate system they are most sensitive to, providing a focus
for climate model development efforts.
Projections are distinguished from predictions in order to emphasize that projections involve assumptions concerning, for example, future socioeconomic and technological developments that may or may not be realised, and are therefore subject to substantial u
Projections are distinguished from predictions
in order to emphasize that
projections involve assumptions concerning, for example, future socioeconomic and technological developments that may or may not be realised, and are therefore subject to substantial u
projections involve assumptions concerning,
for example, future socioeconomic and technological developments that may or may not be realised, and are therefore subject to substantial
uncertainty.
Of course, this relies on the
uncertainty in the regional TYPE 4 climate projection OF CHANGES IN CLIMATE STATISTICS IN THE COMING DECADES being small enough for the information to be useful in a risk assessment proces
in the regional TYPE 4 climate
projection OF CHANGES
IN CLIMATE STATISTICS IN THE COMING DECADES being small enough for the information to be useful in a risk assessment proces
IN CLIMATE STATISTICS
IN THE COMING DECADES being small enough for the information to be useful in a risk assessment proces
IN THE COMING DECADES being small enough
for the information to be useful
in a risk assessment proces
in a risk assessment process.
Based on the rather vast
uncertainties in aerosol forcing, and the substantial discrepancies between model
projections of ocean heat uptake and measured heat uptake (ARGO), it strikes me as bizarre that the IPCC insists on excluding the possibility of quite low sensitivity, when there is a wealth of evidence
for fairly low sensitivity.
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.
In the second part, the downscaling methods were used to make
projections of future climate extremes, which were then examined
for consistency and to determine the contribution of individual factors, such as choice of downscaling method and climate model, to the overall
uncertainty.
Analyses of tide gauge and altimetry data by Vinogradov and Ponte (2011), which indicated the presence of considerably small spatial scale variability
in annual mean sea level over many coastal regions, are an important factor
for understanding the
uncertainties in regional sea - level simulations and
projections at sub-decadal time scales
in coarse - resolution climate models that are also discussed
in Chapter 13.
But then came Climategate plus the revelation of IPCC screw - ups and, with them, the growing suspicion that the «science» had been «cooked» — or, at least, that IPCC had understated
uncertainties in the attribution of climate change as well as
in the
projections for the future.
Uncertainty in natural climate drivers,
for example how much solar output will change over this century, also affects the accuracy of
projections.
University of Alaska permafrost researcher Vladimir Romanovsky said the models the USGS used
in its
projections for Alaska's future carbon storage do not capture the vast
uncertainties about how much methane melting permafrost will emit.
The Process Study and Model Improvement (PSMI) Panel's mission is to reduce
uncertainties in the general circulation models used
for climate variability prediction and climate change
projections through an improved understanding and representation of the physical processes governing climate and its variation.
I may be wrong, but It appears to me that her motive is to expose IPCC claims of overconfidence
in a science, which she feels is still loaded with too much
uncertainty to be able to make any real claims regarding the past or
projections for the future, IOW to act as sort of a «BS filter».
Does that mean you disagree with Lucia's use of the historical variability
in real world weather to estimate the
uncertainty intervals
for the IPCC
projections?
Combining information from four RCM simulations, Christensen et al. (2001) and Rummukainen et al. (2003) demonstrate that it is feasible to explore not only
uncertainties related to
projections in the mean climate state, but also
for higher - order statistics.
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.
As Pekka points out, there is considerable
uncertainty associated with the magnitude of
projections, but paleoclimatologic data indicate that they are likely to be sufficient to impair the calcification processes essential
for the integrity of many marine species involved
in the food chain, and thus of concern to us to the extent that our civilization is linked to the welfare of ocean biology...
A key problem
for reducing the
uncertainty in climate
projections is historical records of change are often too short to test the skill of climate models, raising concerns over our ability to successfully plan
for the future.
Uncertainty in regional climate
projections isn't going away, and that's an inconvenient truth the development community will have to face, says Christoph Müller of the Potsdam Institute
for Climate Impacts Research
in Germany.
Ensembles of climate models, sampling
uncertainties in model formulation, are commonly used as the basis
for generation of probabilistic
projections.
This should,
in theory, lead to more realistic
projections for the future, but many of the climate modellers I spoke to were keen to point out that simulating the climate with more complex models may well lead to greater
uncertainty about what the future holds.
Indeed, activists recently jumped to criticize an energy industry lawyer
for quoting from the United Nations» Intergovernmental Panel on Climate Change's assessments on climate change, which have consistently noted the
uncertainty inherent
in climate
projections.
In order for society to efficiently mitigate and adapt to climate change, it is necessary to have climate projections accompanied by assessments of the uncertainty in the projection
In order
for society to efficiently mitigate and adapt to climate change, it is necessary to have climate
projections accompanied by assessments of the
uncertainty in the projection
in the
projections.
By the statistical evaluation of the different climate developments simulated, the
uncertainties in climate
projections can be better estimated and reduced,
for example,
for rainfall trends.
For JJA, the
uncertainty in the
projections mostly originates from differences
in modelled precipitation changes.