Sentences with phrase «numerical weather models»

«Consequently, global «water vapor winds» are estimated from the movement of these features and used in numerical weather models to improve long - range forecasts,» Chesters said.

«It's impressive, considering that current state - of - the - art numerical weather models, such as NOA's Global Forecast System, or the European Centre for Medium - Range Weather Forecasts» operational model, are only skillful up to one to two weeks in advance,» says paper co-author Cory Baggett, a postdoctoral researcher in the Barnes and Maloney labs.

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.

Not exact matches

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.

I was working for the Omani Meteorological Department when the implementation of a numerical weather forecasting model prompted the need for some local knowledge in numerical weather predictions.

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 Earth.

In addition, atmospheric scientist Dr. Hendrik Tennekes, a scientific pioneer in the development of numerical weather prediction and former director of research at The Netherlands» Royal National Meteorological Institute, recently compared scientists who promote computer models predicting future climate doom to unlicensed «software engineers.»

New technique targets numerical errors related to time evolution in weather and climate models

He uses numerical models and large data sets to study financial risks related to climate change impacts and extreme weather events.

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.

Boyle, J.S., et al., 2005: Diagnosis of Community Atmospheric Model 2 (CAM2) in numerical weather forecast configuration at Atmospheric Radiation Measurement (ARM) sites.

Space research at our institute is conducted within two Research Programmes: planetary research and numerical modelling in Earth Observation, and ground - based observations and space weather applications in Arctic Research.

Specializing in the parameterization of land - atmosphere exchange for use in Global Climate, Regional Mesoscale, and Local Cloud - Resolving numerical weather prediction models.

I create parameterizations of land - atmosphere interactions which are incorporated into climate models and numerical weather prediction models.

They can be simulated to some degree in high resolution cloud resolving models; not sure about [numerical weather prediction] models, probably not in climate models.

This claim is complemented with a broad literature synthesis of past work in numerical weather prediction, observations, dynamical theory, and modeling in the central U.S. Importantly, the discussion also distills some notoriously confusing aspects of the super-parameterization approach into clear language and diagrams, which are a constructive contribution to the literature.

-- 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.

However, 95 % of the time, each model is performing at about the same skill level as quiescent weather is not particularly challenging for today's numerical prediction systems.

Sea surface temperature (SST) measured from Earth Observation Satellites in considerable spatial detail and at high frequency, is increasingly required for use in the context of operational monitoring and forecasting of the ocean, for assimilation into coupled ocean - atmosphere model systems and for applications in short - term numerical weather prediction and longer term climate change detection.

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

Mikhail Tolstykh is an expert for global numerical weather prediction models to develop medium - range and seasonal forecasts.

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.

«Radiation calculations in global numerical weather prediction (NWP) and climate models are usually performed in 3 - hourly time intervals in order to reduce the computational cost.

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.

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).

Traditionally numerical weather prediction has advanced progressively by improving single, «deterministic» forecasts with an increasing model accuracy and decreasing initial condition errors.

We can perhaps learn from numerical weather prediction where the benefits of developing global prediction models with high vertical and horizontal resolution are clear cut (confirmed most recently by predictions of Sandy).

This is what makes paleoreconstructions possible, and what makes it possible to initialize global numerical weather prediction models with so few observations.)

ERA - Interim combines information from meteorological observations with background information from a forecast model, using the data assimilation approach developed for numerical weather prediction.

Meteorological observations from radiosondes are also applied to benchmark the numerical weather prediction models used to forecast day - to - day weather.

That requires considerable sensitivity research with state - of - the art numerical weather prediction (and climate) models... This hand - waving theory may not hold up when a rigorous scientific hypothesis is tested, yet McKibben does not provide a citation or reference aside from Masters» quotations, which are not peer - reviewed in the slightest.»

«We have groups doing numerical weather prediction, hurricanes, climate, oceans, but in the international arena, countries have whole institutions doing the functions of these individual groups,» said Dr. Ronald J. Stouffer, who designs and runs climate models at the Geophysical Fluid Dynamics Laboratory in Princeton, N.J., a top Commerce Department center for weather and climate work.

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.

JIGSAW (GEO) is a set of algorithms designed to generate complex, variable resolution unstructured meshes for geophysical modelling applications, including: global ocean and atmospheric simulation, numerical weather prediction, coastal ocean modelling and ice - sheet dynamics.

I think the only way to approach the Arctic - wide temperature changes is through reanalyses (data assimilation by numerical weather prediction models)[link]; see this figure from the ECMWF reanalyses [link]:

In addition, atmospheric scientist Dr. Hendrik Tennekes, a scientific pioneer in the development of numerical weather prediction and former director of research at The Netherlands» Royal National Meteorological Institute, recently compared scientists who promote computer models predicting future climate doom to unlicensed «software engineers.»

Modern numerical models of weather and climate are over half a century old.

Point two suggested an alternative between «This needs to be demonstrated either in the context of a more comprehensive scale analysis that includes the Navier Stokes equations» and «numerical model simulations using mesoscale or weather or climate models.»

The ECMWF provides its supercomputer - run Integrated Forecasting System, a world - renowned numerical weather prediction model, as a basis for some Copernicus services, such as atmospheric forecasts and reanalysis data.

This information is critical for numerical weather prediction models; both in data assimilation, and in creating re-analyses.

There are many drivers for increased resolution (spatial and temporal) surface observations, not least being new high resolution numerical weather prediction (NWP) models.

And this is also the difference between numerical weather forecast and climate projection with climate models.

You make a very clear well reasoned case for the irrationality of using current numerical climate models fitted to past average temperature data to predict or project future average temperatures let alone temperature distributions or extreme weather events.

Researchers project future climate using climate models — computer - based numerical simulations that use the equations for fluid dynamics and energy transfer to represent atmospheric weather patterns and ocean circulation.

Much of this progress is due to advances in numerical weather prediction, that is, the use of computer models which approximate the fluid motions of the atmosphere to create forecasts of the weather at some time in the future.

This study examines the horizontal distribution of cirrus clouds by means of satellite imagery analyses and numerical weather prediction model forecasts.

He uses numerical models and large data sets to study financial risks related to climate change impacts and extreme weather events.

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.