Sentences with phrase «from regional climate models»

Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models.

Not exact matches

The approach proposed in the paper combines information from observation - based data, general circulation models (GCMs) and regional climate models (RCMs).

The research team drew information from huge stream - temperature and biological databases contributed by over 100 agencies and a USGS - run regional climate model to describe warming trends throughout 222,000 kilometers (138,000 miles) of streams in the northwestern United States.

Had regional temperature cooled by ∼ 4 °C, as has been estimated from climate models of the eruption's impact (14), the lake would likely have experienced massive overturn of the water column, a major iron oxidation event, and extermination of much of the biota in the upper water column.

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.

Using a super-ensemble of regional climate model simulations from the climateprediction.net experiment, we will determine how the carbon produced by these major industrial entities is contributing to the damages from climate change.

The reduction of surface reflection due to biological activity, derived from our results, was used as a proxy for a reduction in albedo in the regional climate model Modèle Atmosphérique Régional (MAR; Fettweis et al., 2013) to project future microbially - mediated increases in GrIS melt (see Methodology, Supplementary Information).

Researchers from the Swedish Meteorological and Hydrological Institute (SMHI) and the Finnish Meteorological Institute (FMI) have successfully improved the accuracy of a regional climate model in predicting the characteristics of clouds.

After obtaining precise ice shelf height data, the researchers used a regional climate model to work out how much of the variability on a year - to - year basis was due to snowfall (which causes ice shelves to grow taller) versus ocean - driven melting (which causes ice shelves to thin from below).

More than 60 scientists from the United States and across the world attended the workshop to discuss the future steps needed to advance the state of the science in regional climate modeling.

Unfortunately it is not a question that can be answered with a great deal of confidence from current - generation global climate models since their spatial resolution is typically inadequate to address such regional matters with any degree of reliability.

Our climate forcing models account for 18 — 88 % (ave = 0.60) of the annual variability at the local scale, and 66 — 77 % (ave = 0.71) at the regional scale when nesting data from 1954 — 2009 are considered (Table S1).

Find out how researchers are using data from U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility — the world's most comprehensive outdoor laboratory and data archive for research related to atmospheric processes that affect Earth's climate — to improving regional and global climate Climate Research Facility — the world's most comprehensive outdoor laboratory and data archive for research related to atmospheric processes that affect Earth's climate — to improving regional and global climate climate — to improving regional and global climate climate models.

The models serve merely to quantify these basic facts more accurately, calculate the regional climate response, and compute effects (such as the expected increase in ocean heat content or sea level) which can be tested against observed data from the real world.

Full climate models also include large regional variations in absolute temperature (e.g. ranging from -50 to 30ºC at any one time), and so small offsets in the global mean are almost imperceptible.

Rignot et al., Recent Antarctic ice mass loss from radar interferometry and regional climate modelling, Nature Geoscience 1, 106 — 110 (2008)

These results were compared with estimates of snowfall accumulation in Antarctica's interior derived from a regional atmospheric climate model spanning the past quarter century.

Again more sobering is «Development of regional future climate change scenarios in South America using the Eta CPTEC / HadCM3 climate change projections: climatology and regional analyses for the Amazon, São Francisco and the Paraná River basins» — a mouthful - titled publication in Climate Dynamics from 2012 that (indeed) uses the Hadley Centre climate model to conclude that droughts in the Amazon basin could increase rather dramatclimate change scenarios in South America using the Eta CPTEC / HadCM3 climate change projections: climatology and regional analyses for the Amazon, São Francisco and the Paraná River basins» — a mouthful - titled publication in Climate Dynamics from 2012 that (indeed) uses the Hadley Centre climate model to conclude that droughts in the Amazon basin could increase rather dramatclimate change projections: climatology and regional analyses for the Amazon, São Francisco and the Paraná River basins» — a mouthful - titled publication in Climate Dynamics from 2012 that (indeed) uses the Hadley Centre climate model to conclude that droughts in the Amazon basin could increase rather dramatClimate Dynamics from 2012 that (indeed) uses the Hadley Centre climate model to conclude that droughts in the Amazon basin could increase rather dramatclimate model to conclude that droughts in the Amazon basin could increase rather dramatically.

Also referred to as synthetic scenarios (IPCC, 1994), they are commonly applied to study the sensitivity of an exposure unit to a wide range of variations in climate, often according to a qualitative interpretation of projections of future regional climate from climate model simulations (guided sensitivity analysis, see IPCC - TGCIA, 1999).

Unfortunately, the figure also confirms that the spatial resolution of theoutput from the GCMs used in the Mediterranean study is too coarse for constructing detailed regional scenarios.To develop more detailed regional scenarios, modelers can combine the GCM results with output from statistical models.3 This is done by constructing a statistical model to explain the observed temperature or precipitation at a meteorological station in terms of a range of regionally - averaged climate variables.

This was done by calculating the climate change occurring in each model as a result of a 1 C increase in global mean temperature.The output from GCMs can be used directly to construct regional scenarios.

The simulated future emissions and land use were downscaled from the regional simulation to a grid to facilitate transfer to climate models.

How the climate will change in the future is largely based on results from Global Climate Models; however, work on climate adaptation at regional and local levels requires much more detailed inforclimate will change in the future is largely based on results from Global Climate Models; however, work on climate adaptation at regional and local levels requires much more detailed inforClimate Models; however, work on climate adaptation at regional and local levels requires much more detailed inforclimate adaptation at regional and local levels requires much more detailed information.

Contribution from working group I to the fifth assessment report by IPCC TS.5.4.1 Projected Near - term Changes in Climate Projections of near - term climate show small sensitivity to Green House Gas scenarios compared to model spread, but substantial sensitivity to uncertainties in aerosol emissions, especially on regional scales and for hydrological cycle varClimate Projections of near - term climate show small sensitivity to Green House Gas scenarios compared to model spread, but substantial sensitivity to uncertainties in aerosol emissions, especially on regional scales and for hydrological cycle varclimate show small sensitivity to Green House Gas scenarios compared to model spread, but substantial sensitivity to uncertainties in aerosol emissions, especially on regional scales and for hydrological cycle variables.

These are among several possibilities that scientists from all over the world grapple with as they attempt to develop a regional climate model for Sunderbans that can predict different scenarios at a time when the mangrove delta is being battered by cyclones and getting inundated due to sea - level rise.

While regional climate downscaling yields higher spatial resolution, the downscaling is strongly dependent on the lateral boundary conditions and the methods used to constrain the regional climate model variables to the coarser spatial scale information from the parent global models.

But from this kind of analyses, frequently the stakeholders are the participants that ask for support from (regional) climate models to illustrate the possible alternative future conditions.

Type 2 dynamic downscaling refers to regional weather (or climate) simulations in which the regional model's initial atmospheric conditions are forgotten (i.e., the predictions do not depend on the specific initial conditions), but results still depend on the lateral boundary conditions from a global numerical weather prediction where initial observed atmospheric conditions are not yet forgotten, or are from a global reanalysis.

As he points out, this doesn't guarantee a better regional climate simulation however, and some aspects, such as trends, can be quite sensitive to the lateral boundary conditions from global models (an inherent limitation for RCMs).

That regional climate models can take past data from global climate models and produce a «reasonably good simulation of regional climate» is quite an achievement — almost a miracle to me.

From a GCM perspective then, the answer to «Are climate models ready to make regional projections?»

The growing interest in GCM performance at regional scales, rather than global, has come from at least two different directions: the climate modelling community and the climate change adaptation community.

Regional projections From a GCM perspective then, the answer to «Are climate models ready to make regional projections?»

Probably the stronger demand for regional scale information from climate models is coming from the climate change adaptation community.

Van Haren et al (2012) also nicely illustrate the dependence of regional skill on lateral boundary conditions: simulations of (historic) precipitation trends for Europe failed to match the observed trends when lateral boundary conditions were provided from an ensemble of CMIP3 global climate model simulations, while a much better correspondence with observations was obtained when reanalyses were used as boundary condition.

(b) to (d): JJA temperatures for Switzerland observed during 1864 to 2003 (b), simulated using a regional climate model for the period 1961 to 1990 (c) and simulated for 2071 to 2100 under the A2 scenario using boundary data from the HadAM3H GCM (d).

Working from collision data from Transport Canada, weather data from Environment Canada and the output of regional climate models, they explored how future changes in precipitation could effect road safety in the Greater Vancouver area.

The warnings, from two studies and the UK's PRECIS regional climate modelling system, are unanimous on one conclusion: the Himalayan region, which includes the two most recent sufferers of devastating flash floods, Jammu and Kashmir and Uttarakhand, is receiving more rainfall than ever before and it's only getting worse.

NorACIA have both used the facts from the IPCC and local data and scaled down global climate models to regional effects.»

«The authors write that North Pacific Decadal Variability (NPDV) «is a key component in predictability studies of both regional and global climate change,»... they emphasize that given the links between both the PDO and the NPGO with global climate, the accurate characterization and the degree of predictability of these two modes in coupled climate models is an important «open question in climate dynamics» that needs to be addressed... report that model - derived «temporal and spatial statistics of the North Pacific Ocean modes exhibit significant discrepancies from observations in their twentieth - century climate... conclude that «for implications on future climate change, the coupled climate models show no consensus on projected future changes in frequency of either the first or second leading pattern of North Pacific SST anomalies,» and they say that «the lack of a consensus in changes in either mode also affects confidence in projected changes in the overlying atmospheric circulation.»»

Methodological advances since the TAR have focused on exploring the effects of different ways of downscaling from the climate model scale to the catchment scale (e.g., Wood et al., 2004), the use of regional climate models to create scenarios or drive hydrological models (e.g., Arnell et al., 2003; Shabalova et al., 2003; Andreasson et al., 2004; Meleshko et al., 2004; Payne et al., 2004; Kay et al., 2006b; Fowler et al., 2007; Graham et al., 2007a, b; Prudhomme and Davies, 2007), ways of applying scenarios to observed climate data (Drogue et al., 2004), and the effect of hydrological model uncertainty on estimated impacts of climate change (Arnell, 2005).

North American Regional Climate Change Assessment Program (NARCCAP): six regional climate model analyses (and limited time - slice analyses from two global models) for the continental U.S. run at about 30 - mile horizontal resoClimate Change Assessment Program (NARCCAP): six regional climate model analyses (and limited time - slice analyses from two global models) for the continental U.S. run at about 30 - mile horizontal resoclimate model analyses (and limited time - slice analyses from two global models) for the continental U.S. run at about 30 - mile horizontal resolution.

Coarser resolution results from four of the CMIP3 models were used as the boundary conditions for the NARCCAP regional climate model studies, with each of the regional models doing analyses with boundary conditions from two of the CMIP3 models.

Using a super-ensemble of regional climate model simulations from the climateprediction.net experiment, we will determine how the carbon produced by these major industrial entities is contributing to the damages from climate change.

To determine how much ice and snowfall enters a specific ice shelf and how much makes it to an iceberg, where it may split off, the research team used a regional climate model for snow accumulation and combined the results with ice velocity data from satellites, ice shelf thickness measurements from NASA's Operation IceBridge — a continuing aerial survey of Earth's poles — and a new map of Antarctica's bedrock.

ECMWF as the Entrusted Entity for the Copernicus Climate Change Service (C3S) is building a Climate Data Store (CDS) that will provide open and free access to quality - assured climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceClimate Change Service (C3S) is building a Climate Data Store (CDS) that will provide open and free access to quality - assured climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceClimate Data Store (CDS) that will provide open and free access to quality - assured climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceclimate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceClimate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceclimate reanalyses, seasonal forecast data and model - generated future climate change sceclimate change scenarios.

Continuous daily streamflow simulations from 1976 to 2100 (Alfieri et al. 2015a), forcing a distributed hydrological model (Lisflood, van der Knijff et al. 2010) with an ensemble of seven EURO - CORDEX (Jacob et al. 2014) RCP 8.5 downscaled regional climate scenarios over Europe.

An evaluation of Arctic cloud and radiation processes during the SHEBA year: simulation results from eight Arctic regional climate models.

«Analyze geoscience data and the results from global climate models to make an evidence - based forecast of the current rate of global or regional climate change and associated future impacts to Earth systems.Use a model to describe how variations in the flow of energy into and out of Earth's systems result in changes in climate.»

The MaRIUS project will make use of the large ensemble of regional climate model runs available from our weather@home experiments.