Sentences with phrase «developing earth system model»

Developing earth system model land surface process descriptions and improving model parametrisations by means of sophisticated model - data fusion techniques

The goal of the project is to develop an earth system model (ESM) that has not been possible because of limitations in current computing technologies.

To improve parameterization, the researchers propose developing Earth system models that learn from the rich data sets now available (thanks, in large part, to satellite observations) and high - resolution simulations on local scales.

To improve parameterization, the researchers propose developing Earth system models that learn from the rich data sets now available (thanks, in large part, to satellite observations) and high - resolution simulations on local scales.

Not exact matches

Millan, a UCI graduate student researcher in Earth system science, and his colleagues analyzed 20 major outlet glaciers in southeast Greenland using high - resolution airborne gravity measurements and ice thickness data from NASA's Operation IceBridge mission; bathymetry information from NASA's Oceans Melting Greenland project; and results from the BedMachine version 3 computer model, developed at UCI.

Researchers from Bern have developed a method to simplify the search for Earth - like planets: By using new theoretical models they rule out the possibility of Earth - like conditions, and therefore life, on certain planets outside our solar system — and limit their search by doing so.

The researchers now want to continue developing a more advanced regional earth system model to improve the regional environmental impact assessment, and apply this not only to the Amazon region but also to other parts of the world.

«By looking at the decline in fish food over time, we can estimate how much our total potential fisheries catch could be reduced,» said Moore, who helped develop the Community Earth System Model employed in this study.

A new integrated climate model developed by Oak Ridge National Laboratory and other institutions is designed to reduce uncertainties in future climate predictions as it bridges Earth systems with energy and economic models and large - scale human impact data.

A new integrated computational climate model developed to reduce uncertainties in future climate predictions marks the first successful attempt to bridge Earth systems with energy and economic models and large - scale human impact data.

CSIRO, the Bureau of Meteorology and the ARC Centre of Excellence for Climate System Science developed the Australian Community Climate and Earth System Simulator (ACCESS) model used in this study in partnership.

The one sentence: Scientists at Pacific Northwest National Laboratory coupled a newly developed river - routing model with an Earth system model, and the simulated streamflow compared favorably against the observed streamflow from more than 1,600 major river stations worldwide.

As reported in the Journal of Hydrometeorology, a team led by scientists at Pacific Northwest National Laboratory coupled a newly developed river - routing model with an Earth system model, and the simulated streamflow compared favorably against the observed streamflow from more than 1,600 major river stations worldwide.

Uncertainty quantification is also a focus for the U.S. Department of Energy (DOE) as eight national laboratories and six partner institutions collaborate to develop and apply the next generation of climate and Earth - system models to the challenges and demands of climate - change research.

Earth system Models of Intermediate Complexity have been developed to investigate issues in past and future climate change that can not be addressed by comprehensive AOGCMs because of their large computational cost.

The «CER - Water Cycle Labs» contains five labs for middle school students, this laboratory activities are aligned with the NGSS (MS - ESS2 - 4 Develop a model to describe the cycling of water through Earth's Systems driven by energy from the sun and the force of gravity), ready to use.

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

The challenges are significant, but the record of progress suggests that within the next decade the scientific community will develop fully coupled dynamical (prognostic) models of the full Earth system (e.g., the coupled physical climate, biogeochemical, human sub-systems) that can be employed on multi-decadal time - scales and at spatial scales relevant to strategic impact assessment.

We also need to improve the systematic observation of climate - related variables on a global basis; to investigate further past changes; to develop improved models of the Earth's climate system; to increase support for national and international climate research activities, especially in developing countries; and to facilitate the international exchange of climate data.

A new assimilation system (CERA) has been developed to simultaneously ingest atmospheric and ocean observations in the coupled Earth system model used for ECMWF's ensemble forecasts.

Observing System Simulation Experiments use the Hybrid Coordinate Ocean Model (HYCOM) and GFDL's GM2.6 climate model to interpret data and develop analysis and observing techniques in the Earth's ocModel (HYCOM) and GFDL's GM2.6 climate model to interpret data and develop analysis and observing techniques in the Earth's ocmodel to interpret data and develop analysis and observing techniques in the Earth's oceans.

Earth system models, particularly the land and atmosphere components that intersect precisely where we all live, grow our food and operate our economies, need to be developed together, with their coupled behavior considered from the start.

The group developed a proposal later adopted by the WG, which states that by 2050, annual CO2 emissions derived from Earth System Models following RCP2.6, a mitigation scenario, are smaller than 1990 emissions, and that by the end of the 21st century, about half of the models infer emissions slightly above zero, while the other half infer a net removal of CO2 from the atmosModels following RCP2.6, a mitigation scenario, are smaller than 1990 emissions, and that by the end of the 21st century, about half of the models infer emissions slightly above zero, while the other half infer a net removal of CO2 from the atmosmodels infer emissions slightly above zero, while the other half infer a net removal of CO2 from the atmosphere.

In developing my understanding of the Earth's systems, I developed a couple of very simple models to help me fathom the way the surface temperature stays fairly constant as the solar cycles wax and wane.

MPI - M develops all components needed to build and run coupled Earth system models.

In this study, we incorporate height - structured competition for light, competition for water, and explicit scaling from individuals to ecosystems into the land model version 3 (LM3) currently used in the Earth system models developed by the Geophysical Fluid Dynamics Laboratory (GFDL).

I have been worrying that even common properties of all present climate models and models than can be developed in near future may common bias towards such stability that is not necessarily true for the real Earth system.

Further developments of RCMs as a Regional Earth System Exploration tool, by linking the traditional meteorological models to hydrological, biogeophysical and socio - economic components, can further develop their usefulness in practice.

Type 4 statistical downscaling uses transfer functions developed for the present climate, fed with large scale atmospheric information taken from Earth system models representing future climate conditions.

We also use and develop community models to represent other components of the Earth system.

The MAPP program supports applied research projects, research - to - operations work, and engagement activities that focus on developing, integrating, and applying Earth system models.

Over the next 3 years the Ocean Colour Climate Change Initiative project aims to: Develop and validate algorithms to meet the Ocean Colour GCOS ECV requirements for consistent, stable, error - characterized global satellite data products from multi-sensor data archives; Produce and validate, within an R&D context, the most complete and consistent possible time series of multi-sensor global satellite data products for climate research and modelling; Optimize the impact of MERIS data on climate data records; Generate complete specifications for an operational production system; Strengthen inter-disciplinary cooperation between international Earth observation, climate research and modelling communities, in pursuit of scientific excellence.

Del Genio sums it up: «What we at GISS bring to this effort is not only a useful tool — our global climate model and many of the people who develop it — but also a scientific perspective grounded in many years of thinking about Earth's climate and Solar System climates that we hope will complement the different perspectives of the other NExSS teams.»

A new study published in Scientific Reports has developed a state - of - the - art drought and wildfire prediction system based on the decadal climate prediction approach using the NCAR Community Earth System system based on the decadal climate prediction approach using the NCAR Community Earth System System Model.

Throughout its life, the USGCRP has created and maintained a mix of atmospheric, oceanic, land, and space - based observing systems; gained new theoretical knowledge of Earth System processes; advanced understanding of the complexity of the Earth System through predictive modeling; promoted advances in computational capabilities, data management, and information sharing; and developed and harnessed an expert scientific workforce.

The authors developed scenarios of global CO2 emissions from existing infrastructure directly emitting CO2 to the atmosphere for the period 2010 to 2060 (with emissions approaching zero at the end of this time period) and used the University of Victoria Earth System Climate Model to project the resulting changes in atmospheric CO2 and global mean temperature.

PNNL scientists joined a multi-institutional team to develop the most complete climate and earth system model to date.

We obtained daily projections of temperature, soil moisture, and solar radiation from recent Earth System Models developed as part of the Coupled Model Intercomparison Project Phase 5 to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (S1 Table).

High performance computing will be used to develop and apply the most complete climate and Earth system model to address the most challenging and demanding climate change issues.