Sentences with phrase «improving climate modeling simulations»

Understanding the mechanisms that control tropical convection is a key to improving climate modeling simulations of the global energy balance.

Not exact matches

«Climate models have improved greatly in the last 10 years, which allows us to look in detail at the simulation of daily weather rather than just monthly averages,» said Pierce.

Meanwhile, some climate modellers are already using the SIM data to see whether that improves the model simulations of ozone and temperature responses in the stratosphere.

Additionally, there is little evidence that the rate of conversion of cloud water to rain actually changes with temperature, although Mauritsen and Stevens show that incorporating the iris into the model does improve the model's simulations of some aspects of the climate system (even though it doesn't change climate sensitivity much).

When you say, «incorporating the iris into the model does improve the model's simulations of some aspects of the climate system,» could you be clearer on what «aspects» are improved?

This study also provides observational constraints for an improved simulation of convection in models simulating present and future climate models and a better understanding of isotope variations in proxy archives, such as speleothems and tropical ice.

These are essential to improve modeling simulations of climate variations and oceanic dynamic process studies.

The goal is to improve model biases with regards to hydrographic measurements and circulation constraints and use the improved model for coupled ocean - atmosphere simulations of preindustrial, historical and future climates.

And beyond the post-facto model evaluation, it will be interesting to see whether new climate models will take advantage of emergent constraints to improve their simulation of present - day climate and to reduce uncertainties in future projections.

The accuracy of the simulations of GST by IPCC would also be improved significantly by introducing the influence of fine dust from the actual atmospheric nuclear explosions into their climate models; thus, global warming behavior could be more accurately predicted

Scientists at GFDL develop and use mathematical models and computer simulations to improve our understanding and prediction of the behavior of the atmosphere, the oceans, and climate.

The enhanced resolution in the CM2.5 model has a significantly improved simulation of many aspects of climate, particularly hydroclimate over continental regions (Delworth et al., 2012, Figures 5,6,7 and 9); many of the improvements in simulation of near - surface climate in CM2.5 are recovered in FLOR (e.g., Jia et al. 2015).

As a result of these enhancements, the CM2.5 model has a significantly improved simulation of many aspects of climate, particularly hydroclimate over continental regions (Delworth et al., 2012, Figures 5,6,7 and 9) and aspects of ocean circulation.

Since then, literally thousands of papers have made this case very carefully, tens to hundreds of thousands of climate simulations have been run, model errors have been corrected and resolution improved, hundreds of problems in the science have been corrected and claims that humans aren't the source have all been addressed.

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.