Effects of bias in solar radiative transfer codes
on global climate model simulations (Geophysical Research Letters, Vol.
What appears to have happened, based
on global climate model simulations run by Shakun et al., is not all that different from our previous explanation of the supposed CO2 lag - just a bit more nuanced.
Research addressing this question relies
on global climate model simulations based on a range of anticipated greenhouse gas (GHG) emissions scenarios.
Not exact matches
Unfortunately, current
simulation models, which combine
global climate models with aerosol transport
models, consistently underestimate the amount of these aerosols in the Arctic compared to actual measurements during the spring and winter seasons, making it difficult to accurately assess the impact of these substances
on the
climate.
After the field campaign, Fast will perform computer
simulations to help evaluate all of the field campaign data and quantify the uncertainties associated with using coarse grid
global climate models to study megacity emissions and to determine the radiative impact of the Mexico City particulates
on the local and regional
climate.
(Bottom left) Multi-
model average SST change for LGM PMIP - 2
simulations by five AOGCMs (Community
Climate System
Model (CCSM), Flexible
Global Ocean - Atmosphere - Land System (FGOALS), Hadley Centre Coupled
Model (HadCM), Institut Pierre Simon Laplace
Climate System
Model (IPSL - CM),
Model for Interdisciplinary Research
on Climate (MIROC)-RRB-.
Working with Tom Chase, a colleague at the institute, the researchers were comparing
climate simulations from the Community Land Model — part of a select group of global models used in the Intergovernmental Panel on Climate Change's 2007 climate change report — against observ
climate simulations from the Community Land
Model — part of a select group of
global models used in the Intergovernmental Panel
on Climate Change's 2007 climate change report — against observ
Climate Change's 2007
climate change report — against observ
climate change report — against observations.
The authors compared recently constructed temperature data sets from Antarctica, based
on data from ice cores and ground weather stations, to 20th century
simulations from computer
models used by scientists to simulate
global climate.
But the main concern I have is that
models and
simulations on the
global climate are used as facts instead used as guidelines for further research.
Even putting aside the OHC data and fingerprinting, there is absolutely no evidence in
model simulations (or in prevailing reconstructions of the Holocene), that an unforced
climate would exhibit half - century timescale
global temperature swings of order ~ 1 C. I don't see a good theoretical reason why this should be the case, but since Judith lives
on «planet observations» it should be a pause for thought.
Jerry's research team has developed and uses a
simulation model, the Terrestrial Ecosystem Model (TEM), to consider the impacts of various aspects of global change — climate, chemistry of the atmosphere and precipitation, land cover and land use — on the structure and function of terrestrial ecosystems across the g
model, the Terrestrial Ecosystem
Model (TEM), to consider the impacts of various aspects of global change — climate, chemistry of the atmosphere and precipitation, land cover and land use — on the structure and function of terrestrial ecosystems across the g
Model (TEM), to consider the impacts of various aspects of
global change —
climate, chemistry of the atmosphere and precipitation, land cover and land use —
on the structure and function of terrestrial ecosystems across the globe.
A recent meta - analysis published in the journal Nature
Climate Change, by Challinor et al. (2014) examines 1,722 crop model simulations, run using global climate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on crop
Climate Change, by Challinor et al. (2014) examines 1,722 crop
model simulations, run using
global climate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on crop
climate model output under several emissions scenarios, to evaluate the potential effects of
climate change and adaptation on crop
climate change and adaptation
on crop yield.
The authors acknowledge the World
Climate Research Programme's (WCRP) Working Group
on Coupled
Modelling (WGCM), the
Global Organization for Earth System Science Portals (GO - ESSP) for producing the CMIP5
model simulations and making them available for analysis.
IPCC relied
on climate models (CMIP5), the hypotheses under test if you will, to exclude natural variability: «Observed
Global Mean Surface Temperature anomalies... lie well outside the range of
Global Mean Surface Temperature anomalies in CMIP5
simulations with natural forcing only, but are consistent with the ensemble of CMIP5
simulations including both anthropogenic and natural forcing...» (Ref.: Working Group I contribution to fifth assessment report by IPCC.
Type 2 dynamic downscaling refers to regional weather (or
climate)
simulations in which the regional
model's initial atmospheric conditions are forgotten (i.e., the predictions do not depend
on the specific initial conditions), but results still depend
on the lateral boundary conditions from a
global numerical weather prediction where initial observed atmospheric conditions are not yet forgotten, or are from a
global reanalysis.
Van Haren et al (2012) also nicely illustrate the dependence of regional skill
on lateral boundary conditions:
simulations of (historic) precipitation trends for Europe failed to match the observed trends when lateral boundary conditions were provided from an ensemble of CMIP3
global climate model simulations, while a much better correspondence with observations was obtained when reanalyses were used as boundary condition.
«The authors write that «the notorious tropical bias problem in
climate simulations of
global coupled general circulation
models manifests itself particularly strongly in the tropical Atlantic,»... they state that «the
climate bias problem is still so severe that one of the most basic features of the equatorial Atlantic Ocean — the eastward shoaling thermocline — can not be reproduced by most of the IPCC assessment report
models,... as they describe it, «show that the bias in the eastern equatorial Atlantic has a major effect
on sea - surface temperature (SST) response to a rapid change in the Atlantic Meridional Overturning Circulation (AMOC).»
Not long ago, it would have taken several years to run a high - resolution
simulation on a
global climate model.
Global mean temperatures from
climate model simulations are typically calculated using surface air temperatures, while the corresponding observations are based
on a blend of air and sea surface temperatures.
(07/08/2013) Warmer ocean temperatures will increase the frequency and intensity of tropical cyclones, typhoons and hurricanes in «most locations» this century, concludes a new study based
on simulations using six
global climate models.
These inferences are not based
on actual
simulations of tropical cyclones, whose core regions of strong winds can not be resolved by today's
global climate models.
The red line shows
climate model simulations of
global surface temperature change produced using the sum of the impacts
on temperature from natural (b, c, d) and anthropogenic factors (e).
The weather prediction
model used in this research is advantageous because it assesses details about future
climate at a smaller geographic scale than
global models, providing reliable
simulations not only
on the amounts of summer precipitation, but also
on its frequency and timing.
The criticism mainly focused
on the conceptual use of untested methods of CDR to keep
global warming below 2C above pre-industrial levels in
model simulations, the potential risks of deploying CDR technologies at scale, and the role of science in
climate policy negotiations.
The main outcomes of the ACCLIM project included; (i) return periods of extreme weather events based
on observations at twelve weather stations, (ii)
climate scenarios and probabilistic estimates of changes in
climate over Finland based
on an analysis of
global and regional
climate model simulations, (iii) guidance in the use of
climate information in
climate change impacts and adaptation research.
The resulting estimates are less dependent
on global climate models and allow more realistically for forcing uncertainties than similar estimates based
on forcings diagnosed from
simulations by such
models.
Figure 1 shows the impact
on the
global average temperature trend for all trend lengths between 10 and 35 years (incorporating our educated guess as to what the 2013 temperature anomaly will be), and compares that to the distribution of
climate model simulations of the same period.
To better assess confidence in the different
model estimates of
climate sensitivity, two kinds of observational tests are available: tests related to the
global climate response associated with specified external forcings (discussed in Chapters 6, 9 and 10; Box 10.2) and tests focused
on the
simulation of key feedback processes.
The new position statement is equivocal, beginning with the observation that «the AAPG membership is divided
on the degree of influence that anthropogenic CO2 has
on recent and potential
global temperature increases», and going
on to say «Certain
climate simulation models predict that the warming trend will continue, as reported through NAS, AGU, AAAS, and AMS.
Those catastrophic
climate predictions of doomsday that proponents of human - made
global warming rely are based
on massive, complex, costly computer
climate models - also know as
simulations and virtual
climate reality.
Working
on a «best case scenario» of
global carbon emissions reaching a zero level by the end of the century, the
simulation designed by experts at the Canadian Centre for
Climate Modelling and Analysis and the University of Calgary, has concluded that recent rises in greenhouse gas emissions will nevertheless cause unstoppable effects to the global climate for the next 1,000
Climate Modelling and Analysis and the University of Calgary, has concluded that recent rises in greenhouse gas emissions will nevertheless cause unstoppable effects to the
global climate for the next 1,000
climate for the next 1,000 years.
Here the authors present
global aquaplanet
simulations with a low - resolution, nonhydrostatic
model free of convective parameterization, and describe the effect
on the
global climate of very large rescaling of the vertical acceleration.