The other highlight came when he pointed to the accelerating pace of observed emissions, above
computer modeling scenarios, as evidence of the flaws of computer modeling.
Not exact matches
MS&T utilizes high tech tools for training combat soldiers, assessing medical practitioners, and simulating
computer programs and
models for how they would perform in real world
scenarios.
All I see from the
computer models heading into Monday morning supports a mostly dry
scenario with just isolated showers.
GCMs are
computer models which capture physical processes governing the atmosphere and oceans to simulate the response of temperature, precipitation, and other meteorological variables in different
scenarios.
A team at British Antarctic Survey (BAS) examined the potential distribution of over 900 species of shelf - dwelling marine invertebrates under a warming
scenario produced by
computer models.
Galford and her co-authors developed a
computer model to create maps showing potential forest losses under three future
scenarios over the next several decades.
Intrigued, Schneider took a summer job as a
computer programmer for planetary scientist S. I. Rasool, who asked him to
model both grim
scenarios.
In their newly published study, the U-M researchers examined cost, energy use and greenhouse gas emissions for different types of 60 - watt - equivalent bulbs and created a
computer model to generate multiple replacement
scenarios, which were then analyzed.
The measurements are then run through a
computer model that uses the data to estimate the potential worst case
scenario regarding «transuranic» activity in the area.
The authors developed a social - ecological
computer model to explore policy
scenarios involving tourism, climate change, marine conservation, and local food security.
Goodfellow has been working on machine - learning
models to let
computers invent more dynamic narratives, which could go beyond limited
scenarios such as planning out a series of chess moves — something
computers have done extremely well for decades.
With four colleagues, Dobson co-authored a new paper, published last week in the journal PLoS One, based on a detailed
computer model examining how a worst - case road - development
scenario might affect the Serengeti's most iconic migratory grazer, the wildebeest (also known as the gnu).
The authors compared the Paris Agreement 1.5 C warming
scenario to the currently pledged 3.5 C by using
computer models to simulate changes in global fisheries and quantify losses or gains.
The researchers are building
computer models and monitoring post-earthquake deformation of the crust to try to determine which
scenario is more likely.
Meehl and his colleagues used two sophisticated
computer models of global climate to predict what would happen under various
scenarios for greenhouse gas emission controls, taking into account the oceanic time lag.
Robin Canup of the Southwest Research Institute and Erik Asphaug of the University of California at Santa Cruz used a highly detailed
computer modeling system — one that divided Earth and its impactor into more than 20,000 tiny particles whose interactions under stress both with each other and with gravity were simulated — to investigate their
scenario.
(More discussion on such a
scenario with illustrations from
computer models are available from a 2005 Powerpoint presentation by Brett Gladman and Collin Chan.)
(More discussion on such
scenarios from: Emily Lakdawalla, Planetary Society blog, 2014; with illustrations from
computer models are available from a 2005 Powerpoint presentation by Brett Gladman and Collin Chan.)
Complex
computer models (see Climate chapter) provide a method for projecting future climate
scenarios in Montana.
That conclusion, based on a new, sophisticated
computer model, makes the worst - case
scenario of sea level rise — an increase of 6 feet or so, on average, by 2100 — look less likely to play out.
The new research involved linking a series of
computer models, which covered crop production, economic development, trade and climate change, to consider a range of
scenarios.
The problem arises, I believe, when strong feedbacks, «masking» effects of aerosols and volcanoes and other uncertain assumptions are fed into
computer models to generate catastrophic
scenarios for the near - medium future.
If the issue is limited to the evaluating, post hoc, the accuracy of any respective
computer model, then I would certainly agree that any of the prospective assumptions made long ago as to emissions
scenarios are irrelevant.
When these past megadroughts are compared side - by - side with
computer model projections of the 21st century, both the moderate and business - as - usual emissions
scenarios are drier, and the risk of droughts lasting 30 years or longer increases significantly.
In developing
computer models of nuclear - winter
scenarios, researchers use both Hamburg and the Hiroshima firestorms as example cases where soot might have been injected into the stratosphere, [4] as well as modern observations of natural, large - area wildfires.
Solution: Until climate
models are verified as being capable of somewhat accurate forecasts (predictions,
scenarios, etc.), policymakers and taxpayers should completely ignore any climate simulation output that is a result of today's
computer models.
David Stockwell's paper on how to improve the methodology for adjusting the raw temperature data or for adjusting for missing temperature data is distinct from
computer modelling where an algorithm is employed based on various assumptions about AGW, CO2, clouds and the like to predict future climate «
scenarios».
Countries are spending countless billions of dollars annually on faulty to fraudulent IPCC climate
models and studies that purport to link every adverse event or problem to manmade climate change; subsidized renewable energy programs that displace food crops and kill wildlife; adaptation and mitigation measures against future disasters that exist only in «
scenarios» generated by the IPCC's GIGO
computer models; and welfare, food stamp and energy assistance programs for the newly unemployed and impoverished.
The 1,018 - page report convincingly and systematically challenges IPCC claims that carbon dioxide and other greenhouse gases are causing «dangerous» global warming and climate change; that IPCC
computer models can be relied on for alarming climate forecasts and
scenarios; and that we need to take immediate, drastic action to prevent «unprecedented» climate and weather events that are no more frequent or unusual than what humans have had to adapt to and deal with for thousands of years.
It's not very conclusive, but I put it up against other
scenarios that purport to explain how they all become part of an assembly line manufacturing elaborate lies, in many distinct fields of study, from climatology to paleo - biology to physics to chemistry to
computer modeling to geology, etc..
It's built into their
computer models, which is a major reason why their predictions /
scenarios are consistently wrong.
«Our results imply that, for any future emissions
scenario, future warming is likely to be substantially lower than the central
computer model - simulated level projected by the IPCC, and highly unlikely to exceed that level.»
In forecasting the effect on wheat production — one of the world's most important staple crops — the researchers tested 30
computer models against field experiments to establish the most likely
scenario.
They're totally unjustified from the
computer model inputs and outputs and the failure of every single prediction or
scenario.
The first is that the doomsday
scenario for polar bears comes, not from real - world observation but from
computer -
modeled predictions of what might happen in the future if the ice caps melt, etc..
Meehl and his colleagues used two sophisticated
computer models of global climate to predict what would happen under various
scenarios for greenhouse gas emission controls, taking into account the oceanic time lag.
They created a computing
model which took into account the relations between various global developments and produced
computer simulations for alternative
scenarios.
The blanket - exemption treatment is based on increasingly questionable assertions that wind turbines reduce atmospheric carbon dioxide levels that supposedly cause global warming, climate change, extreme weather events and an amazing number of dog, people, Italian pasta, prostitution and other exaggerated or imaginary problems, plus others that exist only in
computer models whose forecasts and
scenarios bear no resemblance to Real World conditions or events.
To get to this finding, Smead and his colleagues
computer -
modelled millions of
scenarios in which «players» pledged to reduce their greenhouse gas emissions by a certain proportion in an attempt to halve emissions from the entire group.
Or has everything sped up to a new climate cycle that goes beyond the worst case
scenarios presented by
computer models?
The only evidence in support of the CO2 as the primary cause of global warming are the outputs of the
computer models used by the U.N's Intergovernmental Panel on Climate Change which have been wrong in every forecast or
scenario they produced since 1990.
Developed
computer models of impacts of various
scenarios on staff productivity and availability.