Sentences with phrase «on numerical weather»

Dr. Nehrkorn's 30 year research tenure at AER has included work on numerical weather prediction models, data assimilation systems, humidity to cloud relationships, three dimensional analysis of atmospheric quantities and studies of the angular momentum budget of the atmosphere.

Not exact matches

Armed with their model, the researchers want to identify and understand deficiencies in state - of - the - art numerical weather models that prevent them from predicting weather on these subseasonal time scales.

Although meteorologists now rely heavily on computer models (numerical weather prediction), it is still relatively common to use techniques and conceptual models that were developed before computers were powerful enough to make predictions accurately or efficiently.

Apart from ground stations, weather forecasts are heavily dependent on weather satellites for information to start or «initialize» the numerical weather prediction models that are the foundation of modern weather prediction.

On the basis of magnetic data collected in real time and a chain of suitable numerical models it will eventually prove possible, rather as in conventional meteorology, to forecast space weather and prevent the impact of solar storms on EartOn the basis of magnetic data collected in real time and a chain of suitable numerical models it will eventually prove possible, rather as in conventional meteorology, to forecast space weather and prevent the impact of solar storms on Earton Earth.

Previously, Kelly was a Postdoctoral Fellow and Research Associate at the University of Washington and the University of Victoria in British Columbia, Canada where she studied the role of the changing Arctic sea ice cover on global circulation, weather, and climate using a hierarchy of numerical global climate models.

Many numerical weather prediction centers now use coupled ocean - atmosphere models to produce ensemble forecasts on the subseasonal time scale.

It began with a discussion on a topic on which they agreed — how the U.S. had fallen behind Europe in numerical weather prediction.

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.

Recent numerical simulations suggest the coupling between the stratospheric and tropospheric circulations has practical applications for weather forecasting and also implications for tropospheric climate change (see text on Climate Change, below).

Pelletier, J. D., and V. R. Baker (2011), The role of weathering in the formation of bedrock valleys on Earth and Mars: A numerical modeling investigation, J. Geophys.

Their prediction is based on the quantity of incoming solar radiation and uses 16 - day forecasts from a numerical weather prediction model (WRF).

When we talk about regional modeling or regional numerical weather prediction we are really doing the same thing except that we are focusing on more and more detail for the region where you are located.

Previously, Kelly was a Postdoctoral Fellow and Research Associate at the University of Washington and the University of Victoria in British Columbia, Canada where she studied the role of the changing Arctic sea ice cover on global circulation, weather, and climate using a hierarchy of numerical global climate models.

Thus, in numerical weather prediction out to a mere few days, one tends to neglect the intrinsic variability of the oceans and concentrates on the atmosphere, with sea surface temperatures prescribed as a boundary condition; the sea surface temperature field can either be kept constant in time or allowed to vary in some prescribed manner, e.g., according to a diurnal cycle.

An assessment of the SST influence on surface wind stress in numerical weather prediction and climate models

ESMs have long been based on integrating their dynamical equations numerically (e.g., numerical weather prediction models used by Weather Services).

The success of numerical weather prediction at predicting say the 500 hpa height field on the time scale of the lifetime of a baroclinic wave (nominally 4 - 7 days) is a testimony to the credibility of these solutions

This issue has arisen on past threads and Jerry has been asked by me, and others, to quantify the «false» (or possibly parameterized) viscosity used in these weather models, so those familiar with numerical modeling can form an impression of whether or not the magnitude used is actually unphysical or just represents an approximation abhorrent to Jerry.