Sentences with phrase «global land surface model»

A later study using a global land surface model found similar results: cool roofs could offset the emissions of roughly 300 million cars for 20 years.

In the latest study, the Berkeley Lab researchers and their collaborators used a detailed global land surface model from NASA Goddard Space Flight Center, which contained regional information on surface variables, such as topography, evaporation, radiation and temperature, as well as on cloud cover.

Not exact matches

«However, it is the bringing together of observations by ecologists, theory from biologists, physics from land surface modellers and climate science in the global modeling, that is revolutionary.»

In Stage 4, these aerosol models are validated and coupled to global climate models, which also incorporate models of the land surface, ocean, and sea ice.

Hagemann, S., 2002: An Improved Land Surface Parameter Dataset for Global and Regional Climate Models.

Unprecedented amounts of greenhouse gases (at least over the last few hundred thousand years) continue to accumulate in the atmosphere and the global climate (land surface, ocean, glaciers, stratosphere) continues to respond as predicted by theory and models.

«GCM — General Circulation Model (sometimes Global Climate Model) which includes the physics of the atmosphere and often the ocean, sea ice and land surface as well.»

-- Pete Wetzel, Ph. D., Research Meteorologist at NASA Goddard Space Flight Center, specializing in parameterizing the interactions between the land surface and the atmosphere for Global Climate, Regional Mesoscale, and local Cloud - resolving numerical weather prediction models.

AGW and models say that there will be an increase in the global temperature [air or sea or land surface, take your pick] if the CO2 increases.

The Chair of Land - Climate interactions investigates the role of land surface processes in the climate system using global (COSMOS) and regional (COSMO - CLM) climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measuremeLand - Climate interactions investigates the role of land surface processes in the climate system using global (COSMOS) and regional (COSMO - CLM) climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measuremeland surface processes in the climate system using global (COSMOS) and regional (COSMO - CLM) climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measuremeland surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measurements.

By comparing modelled and observed changes in such indices, which include the global mean surface temperature, the land - ocean temperature contrast, the temperature contrast between the NH and SH, the mean magnitude of the annual cycle in temperature over land and the mean meridional temperature gradient in the NH mid-latitudes, Braganza et al. (2004) estimate that anthropogenic forcing accounts for almost all of the warming observed between 1946 and 1995 whereas warming between 1896 and 1945 is explained by a combination of anthropogenic and natural forcing and internal variability.

Coverage includes original paleoclimatic, diagnostic, analytical and numerical modeling research on the structure and behavior of the atmosphere, oceans, cryosphere, biomass and land surface as interacting components of the dynamics of global climate.

> We analyze and compare the monthly global land - sea surface temperature datasets HADCRUT3 and HADCRUT4 for 1850 - 2010 by subtracting two analytically modeled components and demonstrating with a suitable low - pass filter that the residue contains no significant fluctuations with periods longer than the 22 - year Hale cycle.

Figure 1: Global temperatures from models are calculated using air temperatures above the land surface and also from the upper few meters of the ocean.

Better characterization of the physical processes (including feedbacks) in the present coupled - global land surface climate models will certainly prove beneficial in stipulating future - projection scenarios and outcome.

Since then there are a number of papers published on why the warming was statistically insignificant including a recent one by Richardson et al. 2016 which tries to explain that the models were projecting a global tas (temperature air surface) but the actual observations are a combination of tas (land) and SST oceans, meaning projected warming shouldn't be as much as projected.

He is strongly involved with the KNMI global modelling project EC - Earth, and is co-author of the land surface modules of the European Centre for Medium Range Weather Forecasts (ECMWF).

«Causes of differences in model and satellite tropospheric warming rates» «Comparing tropospheric warming in climate models and satellite data» «Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures» «Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends» «Reconciling warming trends» «Natural variability, radiative forcing and climate response in the recent hiatus reconciled» «Reconciling controversies about the «global warming hiatus»»

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 forecmodel 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 forecModel 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.

Figure 2.4 (Folland et al., 2001) shows simulations of global land - surface air temperature anomalies in model runs forced with SST, with and without bias adjustments to the SST data before 1942.

Based on land - surface temperatures, Africa does not appear to be affected by the «unprecedented» global warming due to the «unprecedented» global CO2 levels, which represents a catastrophic prediction failure by the IPPC and its climate models.

The NASA scientists ran climate models using just one forcing at a time — changes in greenhouse gases, aerosol pollution, land use changes, etc. — to see how efficient each is at changing the global surface temperature.

Empirical data and climate models also concur that surface temperature change is amplified over land areas, which tends to make temperature change at the site of deep water an underestimate of the global temperature.

Sheffield, J., Goteti, G. & Wood, E. F. Development of a 50 - yr high - resolution global dataset of meteorological forcings for land surface modeling.

Cartoon comparing (a) Fi, instantaneous forcing, (b) Fa, adjusted forcing, which allows stratospheric temperature to adjust, (c) Fg, fixed Tg forcing, which allows atmospheric temperature to adjust, (d) Fs, fixed SST forcing, which allows atmospheric temperature and land temperature to adjust, and (e) DTs, global surface air temperature calculated by the climate model in response to the climate forcing agent.»

Menon's previous study, based on a global land surface climate model and published last year in Environmental Research Letters, concluded that deploying cool roofs and pavements in cities around the world could offset 57 gigatons of carbon dioxide emissions.

The Chase research group focuses on modeling and observational studies of the effects of the land surface and changing landcover (for example, deforestation, desertification, and irrigation) and their effects on regional and global climate.

Modelled surface air temperature increases in all regions and seasons, with most land areas warming more rapidly than the global average (Giorgi et al., 2001; Ruosteenoja et al., 2003).

We attempted to apply irrigation realistically in space and time to the land surface component of a global atmosphere general circulation model, the GISS ModelE, allowing the model to compute explicitly the water and energy dynamics of the land surface.