Sentence examples for meteorology will from inspiring English sources

In June, at a conference in Brisbane, an emergency-management specialist explained that Geographic Information Systems technology — which collects exhaustive data on land elevation, the condition of roads and buildings, water levels, population density, and meteorology — will help governments prepare for a flood years before it occurs.

Brown-dwarf meteorology will become an even hotter field as telescopes with adaptive optics expose more pairs of dwarfs at this crucial phase in their evolution, Burrows believes.

It is expected that the GNSS meteorology technology will significantly advance our knowledge of Earth's atmospheric structure and processes, including severe weather phenomena and climate change, in particular in data-sparse areas such as the southern hemisphere, and oceanic and polar regions.

Following the terminology of meteorology, we will refer to this as a "synoptic time-scale outbreak".

Coupled forecast models, which is meteorology driving hydrology, will help farmers know not just when it will rain, but how much, for how long, and where the runoff in the hilly countryside of the island will go.

Weather remains imperfectly predictable, and probably always will be — meteorology is the field that gave us chaos theory — but we take for granted just how good prediction has become.

Each day, the meteorology department of Pennsylvania State University will supply a national weather map showing expected high temperature bands, anticipated rainfall or snowfall areas, weather front lines and areas of high and low pressure.

Logan will study meteorology at Penn State University.

The workshop is set to discuss the rising costs of hail damage, and 200 experts from the fields of meteorology, engineering, economics and climatology will attend.

Articles on soil science, meteorology, biometry, and plant protection will also be considered as long as they are significantly related to crop production.

Our hypothesis is that continuous characterization of traffic, local meteorology, and other statistical parameters will allow for quantification and characterization of distance-dependent relationships relative to background concentrations for mobile-monitored concentrations of UFPs and PM2.5.