In response to a growing need to systematically analyze coupled
ocean and atmosphere model outputs from multiple climate modeling centres, it has subsequently grown into a large program to advance model development and scientific understanding of the Earth system.
Ocean and atmosphere models used to predict the evolution of the Earth's climate in real - time started to suggest the potential for a major regime shift in the Pacific, with pronounced warming of the eastern Pacific.
Not exact matches
Not a real one, of course, but rather a virtual voyager, a computer
model that plumbs the otherwise - inaccessible depths of Earth's anoxic past (or an alien planet's present), exploring the possible chemistry of gases in the
atmosphere and ocean that could have occurred there.
«The widespread loss of Antarctic ice shelves, driven by a warming
ocean or warming
atmosphere, could spell disaster for our coastlines —
and there is sound geological evidence that supports what the
models are telling us,» said Robert M. DeConto of the University of Massachusetts Amherst, a co-author of the study
and one of the developers of the ice - sheet
model used.
A step that could improve climate
models A better understanding of how the
atmosphere and the
oceans communicate
and exchange things like CO2 can also help improve climate
models and predictions of the future.
A study released last month in the Journal of Geophysical Research:
Atmospheres used three different
models to run the same SSCE scenario in which sea - salt engineering was used in the low - latitude
oceans to keep top - of -
atmosphere radiative forcing at the 2020 level for 50 years
and was then abruptly turned off for 20 years.
The
models must track how carbon dioxide
and other greenhouse gases cycle through the whole system — how the gases interact with plant life,
oceans, the
atmosphere —
and how this influences overall global temperatures.
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.
The
model reconstructs how present - day continents,
oceans and the
atmosphere may have evolved.
«This is true for both types of
models — those driven with observed sea surface temperatures,
and the coupled climate
models that simulate evolution of both the
atmosphere and ocean and are thus not expected to yield the real - world evolution of the PDO.
Jason - 3 measurements will also be ingested by Numerical prediction
models coupling the
atmosphere and the
oceans used for seasonal forecasting.
«We're trying to understand how what we're doing to the Earth's
atmosphere and oceans will play out in the future,» says Bette Otto - Bliesner, who runs a full - complexity climate
model —
and its 1.5 million lines of code — through a supercomputer named Yellowstone at the National Center for Atmospheric Research in Boulder.
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.
Other researchers are pushing the frontiers of climate
modeling, simulating how the
oceans,
atmosphere and land responded as Pliocene temperatures soared.
To test the hypothesis, Kutzbach
and Lui ran an
ocean model that responded to the increased radiation, then fed the revised
ocean temperatures into an
atmosphere model.
In addition to the
atmosphere,
models must also include other key earthly elements, such as the
ocean, land masses
and even sea ice.
The
model was developed recently by the US government's National Oceanographic
and Atmospheric Administration (NOAA) to make use of new sea
and wind data collected from instruments moored across the Pacific as part of the international Tropical
Ocean / Global
Atmosphere (TOGA) research programme.
«Using
atmosphere and ocean grids that have the same shape is in a sense an obvious thing to do, but it is not being done in all
models,» Randall explains.
The
models also include the greenhouse gas emissions
and other pollutants that result from these processes,
and they incorporate all of that information within a global climate
model that simulates the physical
and chemical processes in the
atmosphere, as well as in freshwater
and ocean systems.
MODIS tracks features of the land,
oceans and atmosphere that can help develop
models that predict global changes.
«While the detection of greening is based on data, the attribution to various drivers is based on
models,» said co-author Josep Canadell of the
Oceans and Atmosphere Division in the Commonwealth Scientific
and Industrial Research Organisation in Canberra, Australia.
So they created a set of global climate
models to analyze the
ocean and atmosphere over a 40 - year period, keeping carbon dioxide levels fixed.
COAWST combines
models of
ocean,
atmosphere, waves
and sediment transport for analysis of coastal change.
That is a question climate scientists have so far been unable to answer because of limited opportunities to take robust
ocean -
atmosphere measurements around the planet
and because of inherent challenges in existing computer
models.
Climate
modeling shows that the trends of warming
ocean temperatures, stronger winds
and increasingly strong upwelling events are expected to continue in the coming years as carbon dioxide concentrations in the
atmosphere increase.
A decade ago, these
models typically focused on the
atmosphere and the
ocean.
Most important, it relies on the first published results from the latest generation of so - called Earth System climate
models, complex programs that run on supercomputers
and seek to simulate the planet's
oceans, land, ice,
and atmosphere.
CMIP was established as a resource for climate modelers, providing a standard protocol for studying the output of coupled
atmosphere -
ocean general circulation
models so that these
models can be compared
and validated.
But the
models also suggest that the scheme could go too far: Adding excess sulfur could increase ice in Antarctica, «overcompensating» for warming, says Rasch, which could affect ecosystems
and the global
ocean -
atmosphere system in a myriad of ways that scientists haven't studied.
«The
model we developed
and applied couples biospheric feedbacks from
oceans,
atmosphere,
and land with human activities, such as fossil fuel emissions, agriculture,
and land use, which eliminates important sources of uncertainty from projected climate outcomes,» said Thornton, leader of the Terrestrial Systems
Modeling group in ORNL's Environmental Sciences Division
and deputy director of ORNL's Climate Change Science Institute.
This work has been supported by the NOPP project «Advanced coupled
atmosphere - wave -
ocean modeling for improving tropical cyclone prediction
models» (PIs: Isaac Ginis, URI
and Shuyi Chen, UM)
and by the Gulf of Mexico Research Initiative (GoMRI) Consortium for Advanced Research on the Transport of Hydrocarbons in the Environment — CARTHE (PI: Tamay Özgökmen, UM).
Using a coupled
model of the
ocean and the
atmosphere, they were able to successfully replicate these events.
They then analyzed
ocean -
atmosphere carbon exchange
and ocean carbon cycling within their circulation
model.
Scientists are involved in the evaluation of global - scale climate
models, regional studies of the coupled
atmosphere /
ocean / ice systems, regional severe weather detection
and prediction, measuring the local
and global impact of the aerosols
and pollutants, detecting lightning from space
and the general development of remotely - sensed data bases.
Researchers carry out innovative basic
and applied research programs in coral reef biology, ecology,
and geology; fish biology, ecology,
and conservation; shark
and billfish ecology; fisheries science; deep - sea organismal biology
and ecology; invertebrate
and vertebrate genomics, genetics, molecular ecology,
and evolution; microbiology; biodiversity; observation
and modeling of large - scale
ocean circulation, coastal dynamics,
and ocean atmosphere coupling; benthic habitat mapping; biodiversity; histology;
and calcification.
However, the
models also suggest that, as we go forward in time, the relative importance of increasing radiative effects, compared with
atmosphere and ocean dynamic effects, is likely to increase.
The remote impacts of Arctic sea - ice loss can only be properly represented using
models that simulate interactions among the
ocean, sea ice, land
and atmosphere.
In fact, we find the
model range is an excellent predictor of observed trends
and their uncertainty due to random chaotic processes in the
atmosphere and ocean.»
Collaborative products range from published papers that build realistic radiative transfer
models from within the
ocean to the top of the
atmosphere to the assembly of novel databases that contain
ocean and atmospheric measurements useful to develop novel algorithms.
Climate
models are mathematical representations of the interactions between the
atmosphere,
oceans, land surface, ice —
and the sun.
A: Climate
models are mathematical representations of the interactions between the various aspects of the climate system including the
atmosphere,
oceans, land surface, ice,
and the Sun.
Marine planktonic ecosystem dynamics, biogeochemical cycling
and ocean -
atmosphere - land carbon system,
ocean acidification, climate change
and ocean circulation, satellite
ocean color, air - sea gas exchange, numerical
modeling, data analysis,
and data assimilation
Broecker's articulation of likely effects of freshwater outbursts in the North Atlantic on
ocean circulation
and global climate (Broecker, 1990; Broecker et al., 1990) spurred quantitative studies with idealized
ocean models (Stocker
and Wright, 1991)
and global
atmosphere —
ocean models (Manabe
and Stouffer, 1995; Rahmstorf 1995, 1996).
CESM is a fully - coupled Earth System
model, meaning all components of the Earth (
atmosphere, land,
ocean and cryosphere) «talk» to each other in the
model.
Abstract: Surface
ocean wind datasets are required to be of high spatial
and temporal resolution
and high precision to accurately force or be assimilated into coupled
atmosphere -
ocean numerical
models and understand
ocean - atmospheric processes.
Sausen, R., K. Barthel,
and K. Hasselmann, 1988: Coupled
ocean -
atmosphere models with flux correction.
In an ensemble of fully coupled
atmosphere -
ocean general circulation
model (AOGCM) simulations of the late Paleocene
and early Eocene, we identify such a circulation - driven enhanced intermediate - water warming.
Yukimoto, S., et al., 2001: The new Meteorological Research Institute global
ocean -
atmosphere coupled GCM (MRI - CGCM2)--
Model climate
and variability.
Diansky, N.A.,
and E.M. Volodin, 2002: Simulation of the present - day climate with a coupled
atmosphere -
ocean general circulation
model.
Manabe, S.,
and R.J. Stouffer, 1997: Coupled
ocean -
atmosphere model response to freshwater input: Comparison to Younger Dryas event.