Sentences with phrase «global climate model experiments»

Rangwala, I., J. Miller, G.L. Russell, and M. Xu, 2006: Analysis of global climate model experiments to elucidate past and future changes in surface insolation and warming in China.

Fully coupled global climate model experiments are performed using the Community Climate System Model version 4.0 (CCSM4) for preindustrial, present, and future climate to study the effects of realistic land surface initializations on subseasonal to seasonal climate forecasts.

Not exact matches

Over the past 10 to 15 years, we have been running experiments with very complex and increasingly reliable global climate models.

Three approaches were used to evaluate the outstanding «carbon budget» (the total amount of CO2 emissions compatible with a given global average warming) for 1.5 °C: re-assessing the evidence provided by complex Earth System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple model.

«These experiments will enable us to further test and refine the underlying processes in the CORPSE model and should lead to improved predictions of the role of plant - soil interactions in global climate change,» Sulman said.

An international group of atmospheric chemists and physicist could now have solved another piece in the climate puzzle by means of laboratory experiments and global model simulations.

Using thus 10 different climate models and over 10,000 simulations for the weather@home experiments alone, they find that breaking the previous record for maximum mean October temperatures in Australia is at least six times more likely due to global warming.

The climate projections show on this map are based on Representative Concentration Pathway 2.6, 4.5, and 8.5 (van Vuuren et al., 2012) experiments run by global climate models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5) exercise (Taylor et al., 2012).

They show this with an elegant experiment, in which they «force» their global climate model to follow the observed history of sea surface temperatures in the eastern tropical Pacific.

Kosaka and Xie made global climate simulations in which they inserted specified observed Pacific Ocean temperatures; they found that the model simulated well the observed global warming slowdown or «hiatus,» although this experiment does not identify the cause of Pacific Ocean temperature trends.

«A Doubled CO2 Climate Senstivity Experiment with a Global Climate Model Including a Simple Ocean.»

Newspaper reports of climate modelling experiments normally focus on predicted changes in global temperature.

In a recent coordinated multi-model study between NOAA GFDL and NCAR, published in Journal of Climate, researchers performed idealized experiments using state - of - the - art global coupled models, in which the North Atlantic SSTs are restored to time - invariant anomalies corresponding to the observed AMV.

Cohen received his Ph.D. in Atmospheric Sciences from Columbia University in 1994 and has since focused on conducting numerical experiments with global climate models and advanced statistical techniques to better understand climate variability and to improve climate prediction.

A recent modelling experiment shows that climate change feedbacks from thawing permafrost are likely to increase global temperatures by one - quarter to a full degree Celsius by the end of this century.

Climateprediction.net runs experiments using 2 types of climate models — Global Climate Models and Regional Climate climate models — Global Climate Models and Regional Climate Mmodels — Global Climate Models and Regional Climate Climate Models and Regional Climate MModels and Regional Climate Climate ModelsModels.

CAS = Commission for Atmospheric Sciences CMDP = Climate Metrics and Diagnostic Panel CMIP = Coupled Model Intercomparison Project DAOS = Working Group on Data Assimilation and Observing Systems GASS = Global Atmospheric System Studies panel GEWEX = Global Energy and Water Cycle Experiment GLASS = Global Land - Atmosphere System Studies panel GOV = Global Ocean Data Assimilation Experiment (GODAE) Ocean View JWGFVR = Joint Working Group on Forecast Verification Research MJO - TF = Madden - Julian Oscillation Task Force PDEF = Working Group on Predictability, Dynamics and Ensemble Forecasting PPP = Polar Prediction Project QPF = Quantitative precipitation forecast S2S = Subseasonal to Seasonal Prediction Project SPARC = Stratospheric Processes and their Role in Climate TC = Tropical cyclone WCRP = World Climate Research Programme WCRP Grand Science Challenges • Climate Extremes • Clouds, Circulation and Climate Sensitivity • Melting Ice and Global Consequences • Regional Sea - Ice Change and Coastal Impacts • Water Availability WCRP JSC = Joint Scientific Committee WGCM = Working Group on Coupled Modelling WGSIP = Working Group on Subseasonal to Interdecadal Prediction WWRP = World Weather Research Programme YOPP = Year of Polar Prediction

We assess this possibility using an ensemble of 30 realizations of a single global climate model [the National Center for Atmospheric Research (NCAR) Community Earth System Model (CESM1) Large Ensemble experiment («LENS»)-RSB-(29)(Materials and Methmodel [the National Center for Atmospheric Research (NCAR) Community Earth System Model (CESM1) Large Ensemble experiment («LENS»)-RSB-(29)(Materials and MethModel (CESM1) Large Ensemble experiment («LENS»)-RSB-(29)(Materials and Methods).

Koster et al. (2004, 2006) and Guo et al. (2006) report on a new model intercomparison activity, the Global Land Atmosphere Coupling Experiment (GLACE), which compares among climate models differences in precipitation variability caused by interaction with soil moisture.

We study climate sensitivity and feedback processes in three independent ways: (1) by using a three dimensional (3 - D) global climate model for experiments in which solar irradiance So is increased 2 percent or CO2 is doubled, (2) by using the CLIMAP climate boundary conditions to analyze the contributions of different physical processes to the cooling of the last ice age (18K years ago), and (3) by using estimated changes in global temperature and the abundance of atmospheric greenhouse gases to deduce an empirical climate sensitivity for the period 1850 - 1980.

The two - day FAMOS workshop will include sessions on 2017 sea ice highlights and sea ice / ocean predictions, reports of working groups conducting collaborative projects, large - scale arctic climate modeling (ice - ocean, regional coupled, global coupled), small (eddies) and very small (mixing) processes and their representation and / or parameterization in models, and new hypotheses, data sets, intriguing findings, proposals for new experiments and plans for 2018 FAMOS special volume of publications.

In fact, the latest climate - model experiments agree that further global warming is likely to increase the likelihood of conditions favorable to the severe thunderstorms that produce tornadoes in the spring and autumn.

The DOE support includes funding from the Regional and Global Climate Modeling programme to the Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation (RUBISCO) Scientific Focus Area, from the Terrestrial Ecosystem Sciences programme to the Next Generation Ecosystem Experiments — Tropics, and from the Early Career programme (DE-SC0012152).

Based upon a number of climate model experiments for the twenty - first century where there are stases in global surface temperature and upper ocean heat content in spite of an identifiable global energy imbalance, we infer that the main sink of the missing energy is likely the deep ocean below 275 m depth.

for any conceivable application of a global atmospheric model, say for weather forecasting or climate sensitivity experiments, the issues you raise are irrelevant.