A point I've not seen mentioned anywhere yet is that if Anthony Watts» paper is accepted then it blows a massive hole in the regional modelling of the US and hence
the global modelling of climate, because the models have to hindcast as well as forcast.
Not exact matches
It
modeled the implications for the company
of a requirement for emissions to decline to levels consistent with a so - called «2 °C world» after 2030 and also looked at a number
of alternative scenarios based on divergent ranges in
global growth and trade, geopolitics, technological innovation and responses to
climate change.
It would be like trying to
model 1000 years
of global climate change on a TRS - 80 computer when it takes a modern 16,000 processor supercomputer a week to process the data.
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.
However, the recent period
of cooling does suggest that either manmade
global warming may be smaller or that the impact
of other factors may be greater than
climate models have so far assumed.
The study concludes that incorporating this new insight into soil
models will improve our understanding
of how soils influence atmospheric carbon dioxide levels and
global climate.
Climate models predict that as
global temperatures rise over the next seven decades, subtropical regions like the American Southwest will get drier, while more northern areas, including much
of Canada, will get wetter.
KATHARINE HAYHOE is an atmospheric scientist at Texas Tech University, where she studies
climate modeling and the regional impacts
of global warming.
For projections
of future temperature and precipitation during the near future (2021 - 2050) and the far future (2071 - 2100), the researchers used 11 different
global climate models.
No
model, however, has predicted the
global warming hiatus which
climate researchers have observed since the turn
of the millennium.
They used this data compilation to evaluate the quality
of their regional atmospheric
climate model, based on
global climate projections that included several scenarios
of anticipated
climate change.
With
global climate models projecting further drying over the Amazon in the future, the potential loss
of vegetation and the associated loss
of carbon storage may speed up
global climate change.
Previous research has suggested a connection between coal - burning and the Sahel drought, but this was the first study that used decades
of historical observations to find that this drought was part
of a
global shift in tropical rainfall, and then used multiple
climate models to determine why.
Planning meetings for the
Global Seed Vault in Norway spawned the idea
of looking at average summer temperatures, which
climate models can project relatively reliably and which have a large impact on crop yields — between 2.5 and 16 percent less wheat, corn, soy or other crops are produced for every 1.8 — degree F (1 — degree C) rise.
Using multiple
climate models and hundreds
of terabytes
of data, NASA has projected
global temperatures and rainfall around the world from 2050 until 2100.
«The broader idea is that we must understand and include the effects
of forest loss when
modeling global climate and trying to predict how
climate will change in the future,» said Swann.
Climate models and the latest IPCC data reveal four possible futures for
global population, economy and environment at the end
of this century
The goals
of the project include reconstructing extreme
climate changes from the recent past (1894 - 2014), using historically referenced data to assess near - future
global climate model projections, and to ultimately use this analysis to investigate ecological problems in Chesapeake Bay, such as eelgrass diebacks.
Smith and his former research assistant Andrew Mizrahi used a PNNL computer
model, the Global Change Assessment Model, or GCAM, to evaluate the impact of reducing soot and methane emissions on Earth's cli
model, the
Global Change Assessment
Model, or GCAM, to evaluate the impact of reducing soot and methane emissions on Earth's cli
Model, or GCAM, to evaluate the impact
of reducing soot and methane emissions on Earth's
climate.
He wants to know why Earth's
global climate models break down on Venus, which has an atmosphere composed
of 97 percent carbon dioxide — and what that reveals about the hidden fine - tunings
of Earth
models.
Three approaches were used to evaluate the outstanding «carbon budget» (the total amount
of CO2 emissions compatible with a given
global average warming) for 1.5 °C: re-assessing the evidence provided by complex Earth System
Models, new experiments with an intermediate - complexity
model, and evaluating the implications
of current ranges
of uncertainty in
climate system properties using a simple
model.
But
climate models predict reductions in dissolved oxygen in all oceans as average
global air and sea temperatures rise, and this may be the main driver
of what is happening there, she says.
Global climate models predict that already - wet regions, such as the northeastern United States, will get even wetter by the end
of the century if carbon dioxide levels reach 717 parts per million.
And by carefully measuring and
modeling the resulting changes in atmospheric composition, scientists could improve their estimate
of how sensitive Earth's
climate is to CO2, said lead author Joyce Penner, a professor
of atmospheric science at the University
of Michigan whose work focuses on improving
global climate models and their ability to
model the interplay between clouds and aerosol particles.
Over the past 34 years, rainfall in Uganda has decreased by about 12 percent even though many
of the
global climate models predict an increase in rainfall for the area, according to an international team
of researchers.
«These experiments will enable us to further test and refine the underlying processes in the CORPSE
model and should lead to improved predictions
of the role
of plant - soil interactions in
global climate change,» Sulman said.
The
model has already been integrated into the next generation
of the
global land
model used for
climate simulations by the NOAA Geophysical Fluid Dynamics Laboratory, a major national
climate modeling center.
«The result is not a surprise, but if you look at the
global climate models that have been used to analyze what the planet looked like 20,000 years ago — the same
models used to predict
global warming in the future — they are doing, on average, a very good job reproducing how cold it was in Antarctica,» said first author Kurt Cuffey, a glaciologist at the University
of California, Berkeley, and professor
of geography and
of earth and planetary sciences.
A U.S. Forest Service (USFS) study found that between 53 and 97 percent
of natural trout populations in the Southern Appalachian region
of the U.S. could disappear due to warmer temperatures predicted by
global climate change
models.
The study was based on reconstructions and
climate modelling of a period
of global warming 56 million years ago.
The hot has been long expected as part
of global warming theory and appears in many
global climate models.
The resulting outburst
of methane produced effects similar to those predicted by current
models of global climate change: a sudden, extreme rise in temperatures, combined with acidification
of the oceans.
Naga Oshima
of the Meteorological Research Institute conducted the
global climate model calculations to obtain temperature anomalies caused by various amounts
of soot injected into the stratosphere.
The calculations are in line with estimates from most
climate models, proving that these
models do a good job
of estimating past climatic conditions and, very likely, future conditions in an era
of climate change and
global warming.
«Advances in
global climate models and high quality ocean, atmospheric and land observations are helping us push the frontiers
of snowpack prediction.»
These
models currently predict that as a result
of today's
global climate change, Antarctica will warm twice as much as the rest
of the planet, though it won't reach its peak for a couple
of hundred years.
Hertel and doctoral student Uris Baldos developed a combination
of economic
models — one that captures the main drivers
of crop supply and demand and another that assesses food security based on caloric consumption — to predict how
global food security from 2006 to 2050 could be affected by changes in population, income, bioenergy, agricultural productivity and
climate.
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.
The recent slowdown in
global warming has brought into question the reliability
of climate model projections
of future temperature change and has led to a vigorous debate over whether this slowdown is the result
of naturally occurring, internal variability or forcing external to Earth's
climate system.
The
models show that
climate change is a less influential driver
of global food security than income, population and productivity — but it could still pose a significant risk to the nutrition levels
of people living in the world's poorest regions, Baldos said.
Here, we review the likelihood
of continued changes in terrestrial
climate, including analyses
of the Coupled
Model Intercomparison Project global climate model ense
Model Intercomparison Project
global climate model ense
model ensemble.
The new results therefore contradict the traditional
global climate models where convective clouds are seen as being independent
of each other.
By combining this data with Ridgwell's
global climate model, the team deduced the amount
of carbon added to the ocean and atmosphere and concluded that volcanic activity during the opening
of the North Atlantic was the dominant force behind the PETM.
Members
of the team from Oxford University mapped the
global geography
of (Aedes species) mosquitoes capable
of transmitting Zika virus and then
modeled the worldwide
climate conditions necessary for the virus to spread between Aedes mosquitoes and humans.
James Hansen, director
of NASA's Goddard Institute for Space Studies in New York City and a vociferous advocate for lowering
global greenhouse gas emissions, was chosen for his work
modeling Earth's
climate, predicting
global warming, and warning the world about the consequences.
The impact
of these results is wide - reaching, and Dr Pullen suggests that it may even change how we think about
global climate data: «Climate models need to incorporate genetic elements because at present most do not, and their predictions would be much improved with a better understanding of plant carbon demand.
climate data: «
Climate models need to incorporate genetic elements because at present most do not, and their predictions would be much improved with a better understanding of plant carbon demand.
Climate models need to incorporate genetic elements because at present most do not, and their predictions would be much improved with a better understanding
of plant carbon demand.»
Our
global climate models zoom down to finer and finer resolutions; our satellites reveal remote corners
of the globe; we increase our understanding
of the response
of giant ice sheets and deep ocean currents to a warming planet.
The research suggests that scientists
modeling global climate processes may need to add the contribution
of such swimmers to the mix.
Ballantyne and coauthors from Northwestern University, the University
of Colorado and the National Center for Atmospheric Research used a
global climate model to investigate the amplification
of Arctic temperatures in Earth's past.
By understanding how these fishes evolved, by understanding how we got from the past to the present, we can create a
model for predicting what's going to happen as
global climates change, as deforestation continues, and all
of these aquatic habitats change.