Sentences with phrase «global carbon cycle models»

Jain, A.K., et al., Distribution of radiocarbon as a test of global carbon cycle models.

Robert Berner of Yale University is a real Hero of the Earth who is not sufficiently known outside the field of Phanerozoic global carbon cycle modeling.

(oh, and the whole 13C thing has been known for a long time: «(2) consistent relationships between δ13C and CO2 (Rayner et al., 1999),» — or, google «13c global carbon cycle model»)

Not exact matches

The new modeling tool — Carbon, Organisms, Rhizosphere and Protection in the Soil Environment, or CORPSE — represents a major advance in the ability of scientists to simulate the global carbon cycle.

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.

By reconstructing past global warming and the carbon cycle on Earth 56 million years ago, researchers from the Niels Bohr Institute among others have used computer modelling to estimate the potential perspective for future global warming, which could be even warmer than previously thought.

Professor Friedlingstein, who is an expert in global carbon cycle studies added: «Current land carbon cycle models do not show this increase over the last 50 years, perhaps because these models underestimate emerging drought effects on tropical ecosystems.»

Mouchet, A., and L. François, 1996: Sensitivity of a global oceanic carbon cycle model to the circulation and to the fate of organic matter: Preliminary results.

Ricke and Caldeira sought to correct that by combining the results from two large modeling studies one about the way carbon emissions interact with the global carbon cycle and one about the effect of carbon on the Earth's climate used by the Intergovernmental Panel on Climate Change.

Sitch, S., et al., 2003: Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model.

M2009 use a simplified carbon cycle and climate model to make a large ensemble of simulations in which principal uncertainties in the carbon cycle, radiative forcings, and climate response are allowed to vary, thus yielding a probability distribution for global warming as a function of time throughout the 21st century.

A global warming target is converted to a fossil fuel emissions target with the help of global climate - carbon - cycle models, which reveal that eventual warming depends on cumulative carbon emissions, not on the temporal history of emissions [12].

ECCO model - data syntheses are being used to quantify the ocean's role in the global carbon cycle, to understand the recent evolution of the polar oceans, to monitor time - evolving heat, water, and chemical exchanges within and between different components of the Earth system, and for many other science applications.

Proposed explanations for the discrepancy include ocean — atmosphere coupling that is too weak in models, insufficient energy cascades from smaller to larger spatial and temporal scales, or that global climate models do not consider slow climate feedbacks related to the carbon cycle or interactions between ice sheets and climate.

Furthermore, ocean acidification is happening even more quickly in the Arctic, as shown in Stenacher et al. (2009, April), «Imminent ocean acidification in the Arctic projected with the NCAR global coupled carbon cycle - climate model,» http://www.biogeosciences.net/6/515/2009/bg-6-515-2009.pdf (open access):

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 coupled climate carbon cycle intercomparison project (C4MIP) will permit the assessment of model sensitivity of the carbon cycle to global temperature change.

It combines representations of the global economy, energy systems, agriculture and land use, with representation of terrestrial and ocean carbon cycles, a suite of coupled gas - cycle, climate, and ice - melt models.

We introduce a carbon cycle model that would explain the PETM by global warming following a bolide impact, leading to the oxidation of terrestrial organic carbon stores built up during the late Paleocene.

Thermometer shows the global - mean temperature increase above pre-industrial by 2100, with an uncertainty range originating from carbon - cycle and climate modelling.

Peter Cox is the originator / author of the Triffid dynamic global vegetation model which was used to predict dieback of the Amazonian rain forest by 2050 and as a consequence a strong positive climate - carbon cycle feedback (i.e., an acceleration of global warming) with a resultant increase in global mean surface temperature by 8 deg.

Cox, P. M., Betts, R. A., Jones, C. D., Spal, A. S. & Totterdell, I. J. Acceleration of global warming due to carbon - cycle feedbacks in a coupled climate model.

Our study implies that the use of a global relationship between pCO2 and temperature independent of the geography in long time scale carbon cycle model [37] and [38] may induce significant errors.»

Mathematical physicist Enting (author of the Australian Mathematical Scences Institute book Twisted: The distorted mathematics of greenhouse denial) worked at Australia's leading science agency, the CSIRO, for 24 years in atmospheric research and modelling of the global carbon cycle.

Evaluation of the terrestrial carbon cycle, future plant geography and climate - carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs)

The results hold implications for land management, improved climate change models, and a better understanding of carbon cycling in soil microbial communities and how changes in global temperatures impact Earth's deserts.

Posted in Research Blogging, tagged carbon cycle, climate change, climate models, education, geoengineering, global warming, ocean acidification, programming, science, sea ice on September 16, 2012 14 Comments»

Second, using measured atmospheric CO2 concentrations short circuits two layers of modeling which themselves are major sources of uncertainty, namely, estimating global emissions and, then, estimating the atmospheric CO2 concentrations (based on complex models of the global carbon cycle).

M2009 use a simplified carbon cycle and climate model to make a large ensemble of simulations in which principal uncertainties in the carbon cycle, radiative forcings, and climate response are allowed to vary, thus yielding a probability distribution for global warming as a function of time throughout the 21st century.

Imminent ocean acidification in the Arctic projected with the NCAR global coupled carbon cycle - climate model

Thirdly, Earth system models have begun to incorporate more realistic and dynamic vegetation components, which quantify positive and negative biotic feedbacks by coupling a dynamic biosphere to atmospheric circulations with a focus on the global carbon cycle (Friedlingstein et al., 2003, 2006; Cox et al., 2004, 2006).

Study: Long - term warming equivalent to 10 °C per century could be sufficient to trigger compost - bomb instability in drying organic soils Wiley: First generation climate — carbon cycle models suggest that climate change will suppress carbon accumulation in soils, and could even lead to a net loss of global soil carbon over the next century.

Wiley: First generation climate — carbon cycle models suggest that climate change will suppress carbon accumulation in soils, and could even lead to a net loss of global soil carbon over the next century.

An improved global understanding of nutrient availability would therefore greatly improve carbon cycle modelling and should become a critical focus for future research.

Scientists» understanding of the fundamental processes responsible for global climate change has greatly improved during the last decade, including better representation of carbon, water, and other biogeochemical cycles in climate models.

IPCC's «Greenhouse Effect Global Warming» dogma rests on invalid presumptions and a rejectable non-realistic carbon cycle modelling which simply refutes reality, like the existence of carbonated beer or soda «pop» as we know it.

Ken Caldeira has been a Carnegie investigator since 2005 and is world renowned for his modeling and other work on the global carbon cycle; marine biogeochemistry and chemical oceanography, including ocean acidification and the atmosphere / ocean carbon cycle; land - cover and climate change; the long - term evolution of climate and geochemical cycles; climate intervention proposals; and energy technology.

Bala, G., K. Caldeira, A. Mirin, M. Wickett, and C. Delira, Multicentury changes to the global climate and carbon cycle: Results from a coupled climate and carbon cycle model, Journal of Climate, 18, 4531 - 4544, 2005.