Calculations
for numerical weather prediction were limited to what could be managed in a few hours by the rudimentary digital computers — banks of thousands of glowing vacuum tubes that frequently burned out, connected by spaghetti - tangles of wiring.
This information is critical
for numerical weather prediction models; both in data assimilation, and in creating re-analyses.
ERA - Interim combines information from meteorological observations with background information from a forecast model, using the data assimilation approach developed
for numerical weather prediction.
Promote the development of new methods
for numerical weather prediction and climate simulation.
Not exact matches
«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.
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.
Specializing in the parameterization of land - atmosphere exchange
for use in Global Climate, Regional Mesoscale, and Local Cloud - Resolving
numerical weather prediction models.
-- 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.
Mikhail Tolstykh is an expert
for global
numerical weather prediction models to develop medium - range and seasonal forecasts.
Type 1 downscaling is used
for short - term,
numerical weather prediction.
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).
Promote the development of data assimilation methods
for application to
numerical weather and climate predictions, and
for the estimation of derived climatological quantities.
Atmospheric Scientist Tennekes: «Sun may cause some cooling» — «No evidence at all
for catastrophic global warming» — July 14, 2008 (By 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.)
«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.
Efforts by the global
numerical weather prediction centers to produce global reanalyses such as the European Copernicus effort is probably the best way forward
for the most recent decades.
The results can be applied in
numerical weather prediction,
weather services and climate research,
for example in the speciality areas of solar energy forecasting and aviation support.
The European Centre
for Medium - Range
Weather Forecasts (ECMWF) is an international organisation which specialises in
numerical weather prediction and is supported by many European states.
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.
There are many drivers
for increased resolution (spatial and temporal) surface observations, not least being new high resolution
numerical weather prediction (NWP) 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.
The European Centre
for Medium - Range
Weather Forecasts (ECMWF) is an international organisation which specialises in
numerical weather and is supported by and provides services to many European states, including the UK.
In 1922, the British mathematician and physicist Lewis Fry Richardson published a more complete
numerical system
for weather prediction.
The ECMWF atmospheric module is evaluated every day in
numerical weather prediction mode, and also each month
for the seasonal forecasts.
ESCAPE aims to develop world - class, extreme - scale computing capabilities
for European operational
numerical weather prediction (NWP) and future climate models.