Sentences with phrase «evaluate climate model simulations»

Corrigendum to «Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness» published in The Cryosphere, 8, 1839 - 1854, 2014.

Not exact matches

After the field campaign, Fast will perform computer simulations to help evaluate all of the field campaign data and quantify the uncertainties associated with using coarse grid global climate models to study megacity emissions and to determine the radiative impact of the Mexico City particulates on the local and regional climate.

The scientists carefully evaluated many aspects of the climate in the four simulations, using measurements taken from the area, data pulled together from other studies, and data produced by the model.

Phillips, T.J., et al., 2004: Evaluating parameterizations in general circulation models: Climate simulation meets weather prediction.

The other point is that attribution studies evaluate the extent to which patterns of model response to external forcing (i.e., fingerprints) simulations explain climate change in * observations.

Well, it is a very ambitions and painstaking project which has managed to bring together all the aforementioned modeling groups which run specified model experiments with very similar forcings and then performed coordinated diagnostic analyses to evaluate these model simulations and determine the uncertainty in the future climate projections in their models.

A recent meta - analysis published in the journal Nature Climate Change, by Challinor et al. (2014) examines 1,722 crop model simulations, run using global climate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on cropClimate Change, by Challinor et al. (2014) examines 1,722 crop model simulations, run using global climate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on cropclimate model output under several emissions scenarios, to evaluate the potential effects of climate change and adaptation on cropclimate change and adaptation on crop yield.

This is due in part to the difficulties of evaluating runoff simulations across a range of climate models due to variations in rainfall, snowmelt and net radiation.

This study evaluates the tropical intraseasonal variability, especially the fidelity of Madden - Julian oscillation (MJO) simulations, in 14 coupled general circulation models (GCMs) participating in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4).

They ran an ensemble of simulations with a climate model of intermediate complexity to evaluate the causes of past climate changes.

The study uses an extensive suite of existing simulations with the Variable Infiltration Capacity (VIC) hydrologic model driven by Coupled Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scenamodel driven by Coupled Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scenaModel Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scenamodel of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scenamodel to project changes in Fraser River extremes under CMIP5 based climate change scenarios.

In using AOGCM output in this way, it is important not only to demonstrate that these unforced simulations do not drift significantly (Osborn, 1996), but also to evaluate the extent to which model estimates of low - frequency variability are comparable to those estimated from measured climates (Osborn et al., 2000) or reconstructed palaeoclimates (Jones et al., 1998).

Further, key processes associated with the interactions between aerosols and clouds are either neglected or treated with simple parameterizations in climate model simulations evaluated in the AR4.

In climate model simulations, anthropogenic and natural forcings as well as feedback phenomena are taken into account and their impact on the climate is evaluated.

The climate feedbacks involved with these changes, which are key in understanding the climate system as a whole, include: + the importance of aerosol absorption on climate + the impact of aerosol deposition which affects biology and, hence, emissions of aerosols and aerosol precursors via organic nitrogen, organic phosphorus and iron fertilization + the importance of land use and land use changes on natural and anthropogenic aerosol sources + the SOA sources and impact on climate, with special attention on the impact human activities have on natural SOA formation In order to quantitatively answer such questions I perform simulations of the past, present and future atmospheres, and make comparisons with measurements and remote sensing data, all of which help understand, evaluate and improve the model's parameterizations and performance, and our understanding of the Earth system.

Evaluating on climate change time scales can't effectively be done because we only have crude climate model simulations from the 1980's and the more sophisticated coupled models really came in the mid 1990's.