So «fingerprint» studies which claim to find close correspondence
between climate model projections and actual observations during the past 50 to 100 years are confused as to both causes and effects.
The real issue is the growing divergence
between climate model projections and the surface temperature observations, illustrated in this diagram by Ed Hawkins:
Focusing on the «pause» is mainly significant in context of the comparison
between climate model projections and surface temperatures.
Focusing on the «pause» is mainly significant in context of the comparison
between climate model projections and surface temperatures... Attempts to spin 2014 as a possible «warmest year» is exactly that: spin designed to influence the Lima deliberations....
A section of the piece on an emerging disconnect
between climate model projections of warming and observations makes it clear that climate modelers have plenty of work to do.
Not exact matches
«This work was a foundational reference case for the recently released RCP4.5
model scenario, one of four scenarios that will be used by
modeling groups around the globe to make realistic
projections of future
climate change,» said Dr. Steven J. Smith, scientist at the Joint Global Change Research Institute, a partnership
between PNNL and the University of Maryland, and lead research author.
«Across -
model relationships
between currently observable attributes of the
climate system and the simulated magnitude of future warming have the potential to inform
projections.
In projecting
climate variables such as temperature, precipitation, and humidity, there is generally a tradeoff
between (a) the ability to produce high - resolution
projections needed to inform local decisions and
model local responses, and (b) the ability to sample uncertainty.
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.
The Office will support the development of
climate models and
projections of future
climate, facilitate cooperation
between regions and countries, and promote knowledge exchange and capacity building with a particular focus on developing regions.
The harmonization was designed to provide a continuous, consistent set of land use inputs for
climate models from 1500 through 2100 with a smooth transition
between historical data (1500 — 2005) and future
projections (2005 — 2100)(see Hurtt et al. 2011).
Kiehl observed that there was an inverse correlation
between sensitivity in
climate models and the adopted aerosol history so that there was noticeably smaller variation in the
projections than would be generated by the variation in the inputs.
Let's take an idealized example: Figure 1 shows the hypothetical linear relationship
between a variable A simulated by 29
climate models and a
projection of future
climate changes (here ECS, but in principle any
climate - change response may be considered).
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.
And you have failed to demonstrate that there is any discrepancy
between reality and any of the published
climate model projections.
Despite the poor match
between projections from global
climate models and U.S. continental temperature trends, the paper (in Figure 12) reveals an interesting pattern.
The attempt to distinguish
between the terms «
projection» and «prediction», whether by the IPCC or others, has introduced an unnecessary confusion to the impacts and policy communities regarding the skill of regional and local multi-decadal
climate model runs.
Could unrecognized systemic bias from excluded or unrecognized physics be causing the major disconnect
between observations of
climate sensitivity and
projections from global
climate models?
«Across -
model relationships
between currently observable attributes of the
climate system and the simulated magnitude of future warming have the potential to inform
projections.
However, there remains uncertainty in the rate of sea ice loss, with the
models that most accurately project historical sea ice trends currently suggesting nearly ice - free conditions sometime
between 2021 and 2043 (median 2035).12 Uncertainty across all
models stems from a combination of large differences in
projections among different
climate models, natural
climate variability, and uncertainty about future rates of fossil fuel emissions.
Depending on the global
climate model (s) underpinning the
projection, emergence timescales range
between 120 and 550 years, reflecting a large uncertainty.
I'm afraid that much of the strength of the reaction to your questions was based on past experiences - I can not count how many times someone has commented here and on other
climate blogs claiming despite the evidence that mismatches
between specific
projections and observed temperatures somehow invalidate all
climate modeling, despite the projected emissions not matching actuals.
These uncertainties may partly explain the typically weak correlations found
between paleoclimate indices and
climate projections, and the difficulty in narrowing the spread in
models»
climate sensitivity estimates from paleoclimate - based emergent constraints (Schmidt et.
While Zhang et al. (2007) concluded globally that they had detected an anthropogenic influence on the overall latitudinal patterns of precipitation trends (that is, the
climate model trends were of the same sign as the observed trends), in the latitude band that includes the majority of the United States population a mismatch
between model projections and precipitation trends was found (Figure 1).
it is found that global temperature trends since 1998 are consistent with internal variability overlying the forced trends seen in
climate model projections (Easterling and Wehner, 2009; Mitchell et al., 2012b); see also Figure 1.1, where differences
between the observed and multimodel response of comparable duration occurred earlier.
And this is also the difference
between numerical weather forecast and
climate projection with
climate models.
Models that attempt to perform reliable
projections of future
climate changes should account explicitly for the feedbacks
between climate and the processes that determine the atmospheric concentrations of greenhouse gases, reactive gases and aerosol particles.
However, detailed
climate projections carried out with Atmosphere - Ocean General Circulation
Models (AOGCMs) have typically used a prescribed CO2 concentration scenario, neglecting two - way coupling
between climate and the carbon cycle.
«Meaningless distinctions
between «
projections» and «predictions» will be unlikely to convince consumers of
climate models to overlook experience that does not jibe with
modeled output.»
The disparity
between the IPCC's
models doesn't come close to exploring range / uncertainty of viable
projections that could be made with
climate models.
The study, published on February 28, 2018 in the peer - reviewed journal Conservation Biology, used
climate projection models and known lion areas of eastern Africa to predict where cattle may be exposed to different levels of Trypanosomosis, a disease that kills millions of cattle a year in Africa, and how those changes may change interactions
between cattle and lions.
This range in
climate sensitivity is attributable to differences in the strength of «radiative feedbacks»
between models and is one of the reasons why
projections of future
climate change are less certain than policy makers would like.
Recent attempts to evaluate
climate model projections in CMIP5 during the early 21st century have shown striking discrepancies
between model projections and observations.