The Mathematics of the Weather is a forum for the discussion of new numerical approaches for use in numerical forecasting, climate modelling and research
into numerical modelling of the atmosphere.
By incorporating the complexities of channel geometry, fluid flow rates, diffusion coefficients and possible chemical interactions
into a numerical model, the behavior of a particular system can be accurately predicted when an intuitive prediction may be extremely difficult.
Not exact matches
Using
numerical models and computer simulations, the researchers show how spinning particles, pushed about by the fluid flows created as each particle spins, can arrange themselves
into an array of emergent macro-scale patterns.
Soon Thor Lim and colleagues from the A * STAR Institute of High Performance Computing found a way to combine electronic and optical effects
into a single
numerical simulation
model.
For her PhD, Kaitlin Beneath took the plunge
into a massive — and successful —
model debugging project that identified and fixed a vexing
numerical instability involving sea ice production.
Even with the best
numerical model of ice flow available, if the data going
into it is not accurate, then the predictions will not be reliable.
Abstract: Surface ocean wind datasets are required to be of high spatial and temporal resolution and high precision to accurately force or be assimilated
into coupled atmosphere - ocean
numerical models and understand ocean - atmospheric processes.
I create parameterizations of land - atmosphere interactions which are incorporated
into climate
models and
numerical weather prediction
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.
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.
Woodburn, a hydrogeologist by training, along with Carl Steefel, head of Berkeley Lab's Geochemistry Department, will develop a mechanistic
numerical model of the Cosumnes River watershed, which extends from the Sierra Nevada to south of Sacramento, ultimately feeding
into the Sacramento - San Joaquin River Delta and the California State Water Project, the major source of water for much of Southern California.
«We will use a high - resolution and physically based
numerical modeling approach for simulating how water moves from the atmosphere to surface waters and
into groundwaters,» said scientist Erica Woodburn of Berkeley Lab's Earth and Environmental Sciences Area.
It costs little to field the observations — the satellites and the radars, the surface in situinstruments, etc. to monitor conditions and their changes; to assimilate the data
into variety of
numerical models, to run these and form ensemble averages; to disseminate the findings.
The project at the University of Texas at Austin will develop conceptual and
numerical models to analyze conditions under which gas will be expelled from existing marine accumulations of gas hydrate
into the ocean, which could potentially have a damaging effect to the ecosystem.
Results from formal observational data assimilation
into a
numerical climate
model of intermediate complexity are qualitatively in agreement with ours (Goosse et al. 2009).