The presence of higher spatial resolution information in the regional models, beyond what can be accomplished by interpolation of
the global model output to a finer grid mesh, is only an illusion of added skill.
I speculate that this is due to (among other things) the use of the RCM as the poor man's global model, and - as described above - a disconnect between stakeholders and
global model output.
Are efforts best used in making
global model output more applicable to the local scale, or in increasing the local skill and resolution of global models?
Statistical downscaling of
the global model outputs like GPCs are done using tools like CPT.
Not exact matches
The researchers looked at a total of 34 different
global climate
model outputs, encompassing different degrees of atmospheric sensitivity to greenhouse gases and different levels of human emissions of greenhouse gases into the atmosphere.
Their findings, based on
output from four
global climate
models of varying ocean and atmospheric resolution, indicate that ocean temperature in the U.S. Northeast Shelf is projected to warm twice as fast as previously projected and almost three times faster than the
global average.
For much of the
global ocean the coarser resolution is okay, but when you are studying a unique location like the Gulf of Maine, with its complex bathymetry of deep basins, channels, and shallow banks combined with its location near the intersection of two major ocean current systems, the
output from the coarser
models can be misleading.»
In other words, whereas the new satellite measurements call into question computer
models of solar
output, it does not change the fundamental physics of human - induced
global warming.
Results: Researchers at Pacific Northwest National Laboratory — in collaboration with NERSC, Argonne National Laboratory, and Cray — recently achieved an effective aggregate IO bandwidth of 5 Gigabytes / sec for writing
output from a
global atmospheric
model to shared files on DOE's «Franklin,» a 39,000 - processor Cray XT4 supercomputer located at NERSC.
Methods: The PNNL research team analyzed
model outputs from 24
global climate
models used in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5).
Studies of the Arctic system, connections between atmosphere and sea ice, and between the Arctic and the
global system using remote sensing, conventional measurements, and
output from
global climate
models.
Xie, P., and P.A. Arkin, 1997:
Global precipitation: A 17 - year monthly analysis based on gauge observations, satellite estimates, and numerical
model outputs.
To determine the temperature of different portions of the atmosphere, Santer and his colleagues sampled the
output of
global climate
models at specific areas of the atmosphere where temperature is currently measured by satellites.
These is
output from the large scale
global models used to assess climate change in the past, and make projections for the future.
The idealised
model from Myhrvold & Caldeira is looking a 1TW of deliverable electric which is «the order of magnitude of the
global electrical
output currently generated from coal.»
Of course you should have posted the
models hindcasts for the whole of the 20th century and then you would see the excellent short to medium term correlation between
model output ant
global temperature record.
In other words, the fundamental reason scientists think atmospheric CO2 strongly affects the
global temperature is not climate
model output — it's just * basic radiative physics *!
I presume
global climate
model outputs could just as easily be extracted to compare to such an extensive but incomplete set of data as is done now to compare to existing GATs.
Both observational data and statistically downscaled
global climate
model output were used and the regions chosen were the Salmon and Willow headwater sub-basins in the Fraser River, in British Columbia.
This was done by calculating the climate change occurring in each
model as a result of a 1 C increase in
global mean temperature.The
output from GCMs can be used directly to construct regional scenarios.
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 yield.
The DICE
model attempts to quantify how the atmospheric concentration of CO2 negatively affects economic
output through its impact on
global average surface temperature.
You may have missed his recent posting about this topic: http://wattsupwiththat.com/2013/05/21/model-climate-sensitivity-calculated-directly-from-model-results/#more-86761 It is actually amazing that the
global temperature result of climate
models can be replicated with forcing inputs manipulated by his trivial formula, resulting in an almost identical
output (r value of about 0.99).
A new study comparing the composite
output of 22 leading
global climate
models with actual climate data finds that the
models do an unsatisfactory job of mimicking climate change in key portions of the atmosphere.
However, when comparing
model outputs against Hurst climate persistence, I find that the catastrophic majority anthropogenic
global warming hypothesis to be formally «Not Proven» per Bray (2005), and Johnson (2013).
It contains a suite of routines for downscaling coarse scale
global climate
model (GCM)
output to a fine spatial resolution.
The
models currently assume a generally static
global energy budget with relatively little internal system variability so that measurable changes in the various input and
output components can only occur from external forcing agents such as changes in the CO2 content of the air caused by human emissions or perhaps temporary after effects from volcanic eruptions, meteorite strikes or significant changes in solar power
output.
The arguments put forward are that climate
models, which produce
output at a wide range of spatial and temporal scales, but it is claimed that the only become skillful at
global scale with 30 - year temporal resolution.
Output from
global circulation
models indicates that climate variability will continue to be an important characteristic of the region in the future [52], but that climate change may increase the risk of extreme climatic events such as multi-decade droughts and extreme winter precipitation [53], [54].
Just because the use of
models is the best we have to try a determine what will happen to
global temperatures as CO2 quantities go on increasing, is no reason to believe that the
output of climate
models is anything other that scientific wild a ** e guesses.
Examining the
global environmental impact of regional consumption activites — Part 2: Review of input -
output models for the assessment of environmental impacts embodied in trade.
Shown are data from the
Global Historical Climatology Network (GHCN) dataset and
output from the two GISS
model experiments (SST only in middle panel and SST+D ust in bottom panel).
«We use a combination of (1) 9 years of
global satellite data, (2) a simple forcing - feedback
model of climate variability, and (3)
output from the IPCC climate
models, to demonstrate various aspects of this issue.
We are helping you to understand that there are other plausible explanations for
global warming, and the assumption that it is due to CO2 is based only on opinionated papers hand - waved through the peer review process by friendly referees [while skeptical papers rarely see the light of day], and by computer
model outputs, which are invariably unable to predict the future climate, or even today's climate with all available past data as the input.
Have you ever wanted a simple way to
output global average values for each year from a series of monthly climate
model output files?
The same analysis will be applied to
output from the high - resolution Regional Arctic System
Model (RASM) and to
output from a suite of
global climate
models (GCMs).
Symbols are GVM
outputs and lines are fitted responses, using a simple
model fitted to the
global NPP responses to CO2 and temperature and residence time responses to temperature for each
model as described in the main text.
Future
global vegetation carbon change calculated by seven
global vegetation
models using climate
outputs and associated increasing CO2 from five GCMs run with four RCPs, expressed as the change from the 1971 — 1999 mean relative to change in
global mean land temperature.
Nic Is it not true that the harsh reality is that the
output of the climate
models which the IPCC rely's on on their dangerous
global warming forecasts have no necessary connection to reality because of their structural inadequacies.
Clarke et al.'s work is published in Nature Geoscience and uses a regional glaciation
model driven by
global climate
model output to examine possible future changes to glaciers in western Canada.
The sources of uncertainty are many, including the trajectory of greenhouse gas emissions in the future, their conversion into atmospheric concentrations, the range of responses of various climate
models to a given radiative forcing and the method of constructing high resolution information from
global climate
model outputs (Pittock, 1995; see Figure 13.2).
Their work involved using a hydrologic
model that included a simple representation of glaciers, run by statistically - downscaled
output from
global climate
models, in order to come up with projected changes to evaporation, precipitation, runoff, snow, soil moisture and temperature in the Canadian portion of the Columbia River Basin.
The question is not to prove that GCMs are bad a
global forecasting but to show that these
models, and especially aggregated
outputs from these
models, are of any use.
So I do not think that ensemble
outputs of climate
models would perform better at any local scale than at the
global scale.
-- «
Global climate
models are unable to produce an
output that is verifiable» — April 2009
If such
model outputs exist for any of the
global climate parameters, I would really like to learn what they projected and how that matched real measurements.
They said we would see immediate and ongoing sharp rises in temperatures and produced projections to show that, based on the
output of the
Global Climate
Models.
The
model output is simply nonsense, the false precision is a joke, the error bands swamp the signal, and the so called causal relationship between CO2 and
global average temperature is wishful thinking.
Using
output from
Global Climate
Models participating in the Fifth Phase of the Coupled
Model Intercomparison Project, PCIC has applied a statistical downscaling method called BCSD to create a set of downscaled climate projections of precipitation, minimum temperature and maximum temperature.
In the second part, the RCMs were driven using the
output of
global climate
models in order to make projections of climate extremes for the 2050s in the Columbia Basin.