The team simulated 12 hours of
global cloud processes with the Nonhydrostatic ICosahedral Atmospheric Model (NICAM) at a range of grid spacings of 0.87 to 14 kilometers.
Not exact matches
The
global software giant's new mobile - optimized
cloud streamlines the
process of creating, editing, sharing and signing documents on the fly.
He has been an integral part of field campaigns that have changed the fundamental understanding of
cloud and precipitation
processes, including satellite studies that reveal how these
processes are distributed globally, influencing the
global climate.
Comprehensive measurements from ARM's state - of - the - art instrument systems at Barrow and Oliktok Point will help scientists improve the understanding of high - latitude
cloud and radiation
processes, and their representation in
global climate models.
See section 5a) Modulation of the
global circuit in this review paper, by solar wind burst and the
process electroscavenging where by increases in the
global electric circuit remove
cloud forming ions.
eg pg xii To improve our predictive capability, we need: • to understand better the various climate - related
processes, particularly those associated with
clouds, oceans and the carbon cycle • to improve the systematic observation of climate - related variables on a
global basis, and further investigate changes which took place in the past • to develop improved models of the Earth's climate system • to increase support for national and international climate research activities, especially in developing countries • to facilitate international exchange of climate data
Further, translating regional sulfate emission into
global forcing isnt really appropriate, since atmospheric sulfate has too short of an atmospheric lifetime (owing to
cloud and rain
processes) to influence the
global radiation balance.
Since then, raw images from an international network of operational geostationary and polar - orbiting meteorological satellites have been routinely
processed to develop a
global data set of calibrated radiances and derived
cloud parameters for climate research.
These data are used to research atmospheric radiation balance,
cloud feedback
processes, and to initialize and evaluate model performance, which are critical to the understanding of
global climate change.
«Now that
global climate models are being run at higher resolution, they need more information about the physical
processes of
clouds, in order to better understand all the ramifications of climate change,» she said.
We use a
global model, simplified to essential
processes, to investigate state - dependence of climate sensitivity, finding an increased sensitivity towards warmer climates, as low
cloud cover is diminished and increased water vapor elevates the tropopause.
«Nature is too complex, they (the authors) say, and depends on too many
processes that are poorly understood or little monitored — whether the
process is the feedback effects of
cloud cover on
global warming or the movement of grains of sand on a beach,» the Times article explained.
More
clouds are slowing this
process but along with the Sun going into idle, extra
clouds, extra sea ice exposed for longer and vast snow cover it must mean only one thing,
Global Cooling.
Although the
global models have improved over time (Chapter 8), they still have limitations that affect the simulation of extreme events in terms of spatial resolution, simulation errors, and parametrizations that must represent
processes that can not yet be included explicitly in the models, particularly dealing with
clouds and precipitation (Meehl et al., 2000d).
In the context of models that include
cloud processes, ranging from small - scale models of
clouds and atmospheric chemistry to
global weather and climate models, the unified theoretical foundations presented here provide the basis for incorporating
cloud microphysical
processes in these models in a manner that represent the
process interactions and feedback
processes over the relevant range of environmental and parametric conditions.
The uncertainties in climate projections originate in the representation of
processes such as
clouds and turbulence that are not resolvable on the computational grid of
global models.
The representation of
cloud processes in
global atmospheric models has been recognized for decades as the source of much of the uncertainty surrounding predictions of climate variability.
The earliest criticism of
global climate models failing to consider
cloud processes, that I can find so far, is from Professor Richard Lindzen in 2001, who explained how a heat vent may cool the planet by as much as two thirds of the projected
global warming.
Although real concerns exist about coral mining and the big «Asian Brown
Cloud» due to particulates from biomass burning and inefficient industrial
processes, Hansen would like to stoke alarm due to
global warming, irrespective of the evidence: «An INQUA research in 2003 found that actual sea levels in the Maldives had dropped in the 1970s and forecasts little change in the next century.»
The work will help reveal the extent to which particles emitted during biomass burning influence
cloud processes in ways that affect
global temperatures.
The mechanisms of interactions of OA with
clouds and dry and wet removal
processes parameterisations in
global models are outlined.
iExec is a Franco - Chinese projec and is creating a «
cloud decentralization» model which, based on a
global cloud computing marketplace, will allow everyone to rent their
processing power for profit.
Provided leadership to the security team in conducting an extensive internal NIST 800 - 53 rev. 3 gap analysis, assessing several hundred discrete security controls across the company's
global SaaS,
cloud computing infrastructure to provide transparency and decision support in preparation for
process reengineering, technology procurement and personnel acquisition
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