Willenbring noted that the new date for the glacier maximum in the Mediterranean region, which is several thousands of years earlier than the date the maximum was reached in central Europe, will help provide more context for creating
accurate global climate models.
Not exact matches
I confess that I have become somewhat blasé about the range of exciting — I think revolutionary is probably more
accurate — technologies that we are rolling out today: our work in genomics and its translation into varieties that are reaching poor farmers today; our innovative integration of long — term and multilocation trials with crop
models and modern IT and communications technology to reach farmers in ways we never even imagined five years ago; our vision to create a C4 rice and see to it that Golden Rice reaches poor and hungry children; maintaining productivity gains in the face of dynamic pests and pathogens; understanding the nature of the rice grain and what makes for good quality; our many efforts to change the way rice is grown to meet the challenges of changing rural economies, changing societies, and a changing
climate; and, our extraordinary array of partnerships that has placed us at the forefront of the CGIAR change process through the
Global Rice Science Partnership.
Eventually, this information will be incorporated into
global climate models, making them more
accurate.
«With these new observations we can determine which
models reproduce the most
accurate response to changes in the
global climate.
Because elements of this system are poorly understood and poorly represented in
global climate models, collecting real - time, complementary data from a variety of areas will go a long way toward improving scientists ability to use these
models for making
accurate predictions about Earths
climate.
Without that theory, it is difficult to construct more
accurate parameterizations [or
models] of clouds that go into
global climate models,» Romps said.
Given that it is all eventually going to come back to the issue of the gradual gain we've been seeing in ocean heat content over many decades, the most
accurate thing we can say is that 2014's warmth is very consistent with the general accumulation of energy in Earth's
climate system caused by increasing GH gases and is well accounted for dynamically in
global climate models.
Computers don» t have the capacity, and we don» t have the data or understanding, to create
climate models that can recreate
global climate or make
accurate forecasts.
Does the downscaling (in this case Type 4 downscaling) provide a more
accurate result of
climate variables requested by the impacts communities than can be achieved by interpolating the
global parent
model prediction to the finer grid and landscape?
The intent of downscaling is to achieve
accurate, higher spatial resolution of weather and other components of the
climate system than is achievable with the coarser spatial resolution
global model.
For a method for that, may I encourage you to look at Roy Spencer's recent
model on thermal diffusion in the ocean: More Evidence that Global Warming is a False Alarm: A Model Simulation of the last 40 Years of Deep Ocean Warming June 25th, 2011 See especially his Figure Forcing Feedback Diffusion Model Explains Weak Warming in 0 - 700 m layer as Consistent with Low Climate Sensitivity His model appears to be more accurate than the IP
model on thermal diffusion in the ocean: More Evidence that
Global Warming is a False Alarm: A
Model Simulation of the last 40 Years of Deep Ocean Warming June 25th, 2011 See especially his Figure Forcing Feedback Diffusion Model Explains Weak Warming in 0 - 700 m layer as Consistent with Low Climate Sensitivity His model appears to be more accurate than the IP
Model Simulation of the last 40 Years of Deep Ocean Warming June 25th, 2011 See especially his Figure Forcing Feedback Diffusion
Model Explains Weak Warming in 0 - 700 m layer as Consistent with Low Climate Sensitivity His model appears to be more accurate than the IP
Model Explains Weak Warming in 0 - 700 m layer as Consistent with Low
Climate Sensitivity His
model appears to be more accurate than the IP
model appears to be more
accurate than the IPCC's.
They include James Hansen, who created one of the earliest
global climate models in the 1980s, which has turned out to be remarkably
accurate (Figure 2).
A new study by meteorologists at the University of Utah shows that current
climate models are quite
accurate and can be valuable tools for those seeking solutions on reversing
global warming trends.
«The authors write that North Pacific Decadal Variability (NPDV) «is a key component in predictability studies of both regional and
global climate change,»... they emphasize that given the links between both the PDO and the NPGO with
global climate, the
accurate characterization and the degree of predictability of these two modes in coupled
climate models is an important «open question in
climate dynamics» that needs to be addressed... report that
model - derived «temporal and spatial statistics of the North Pacific Ocean modes exhibit significant discrepancies from observations in their twentieth - century
climate... conclude that «for implications on future
climate change, the coupled
climate models show no consensus on projected future changes in frequency of either the first or second leading pattern of North Pacific SST anomalies,» and they say that «the lack of a consensus in changes in either mode also affects confidence in projected changes in the overlying atmospheric circulation.»»
If we can't get
accurate radiosonde measurements after 50 years and 28 million measurements, then why on Earth would anyone assume that we can create 3D working
global climate models that are more
accurate?
NASA's Goddard Institute for Space Studies (GISS) has a long history in
climate studies, which led to the development of one of the most
accurate and complete
models of Earth's
global climate, the General Circulation
Model (GCM).
Any
accurate climate model must succeed in a good description of the basin, both in its natural state and in states perturbed by regional and
global human activities.
This would in turn allow experts to developer better
climate models to help analyze and understand the ocean and the atmosphere, which could lead to more
accurate predictions on the effects of the
global climate change.
In case you missed it, let me repeat this point —
model projections made 10 - 15 years ago are being verified today, proving that the
models are quite
accurate predictors of
global climate.
Although the recent spike in
global temperatures from the current El Niño may provide some AGW alarmist bragging rights («see, that clock is
accurate»), it is highly probable the recent 6 - month surge is a very temporary spike, entirely due to the natural ENSO phenomenon that
climate models are incapable of predicting.
Combine the new and improved data, measured correlation between the old
models and the new data, and improved
climate models that, when properly vetted and compared with historical
climate reconstructions, and you end up with a very compelling
global heating theory that has convinced 620 authors from 42 countries that both the theory and the predictions are
accurate.