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4.6_Weather
4.6_Weather

...  Differentiate between the types of weather associated with high and clouds and with what weather low pressure air masses. Illustrate and label high and low pressure air events are they associated? masses and warm and cold fronts. What are some severe storm  Differentiate between cloud types (cirr ...
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Title Page

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Sustainability Considerations in the Design of Big Dams: Merowe

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Meteorology - School in the Park
Meteorology - School in the Park

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Physical Climatology
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... global warming continues, there will be an increased amount of clouds in our atmosphere, which may help or hurt.  Forest Fires: Wildfires release carbon dioxide, a greenhouse gas, into the atmosphere. By trapping heat, carbon dioxide contributes to the planet’s warming. However, if a forest of simi ...
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... temperature, humidity, precipitation, cloudiness, brightness, visibility, wind, and atmospheric pressure, as in high and low pressure, sunshine, rain, cloud cover, winds, hail, snow, sleet, freezing rain, flooding, blizzards, ice storms, thunderstorms, steady rains from a cold front or warm front, e ...
Climate Change: Science Issues
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... will need to acknowledge that something is fundamentally wrong with our climate models…A 20-year pause in global warming does not occur in a single modeled scenario. But even today, we are finding it very difficult to reconcile actual ...
Meteorology - The Federation of Galaxy Explorers
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... deal with fronts anyway? Well that is where the bad weather is. A cold front is associated with showers and thunder storms. Warm fronts usually bring steady rain. You can see that the clouds lie along the fronts on this weather map. Of course, the weather forecasters have a lot more information abo ...
Costs and Benefits of Reducing Greenhouse Gas Emissions
Costs and Benefits of Reducing Greenhouse Gas Emissions

... • Best studied sectors are market sectors— agriculture, forestry, energy, water, coastal infrastructure • Damages in developing countries—especially low latitude developing countries—are often a larger percent of GDP than in high income countries • To compare with global costs of mitigation, need to ...
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toward a new generation of world climate research and

... example, the Met Office currently runs an operational limited-area model at 1.5 km, which is beginning to deliver substantial improvements in skill in forecasting extreme rainfall events, especially when the synoptic forcing is strong (Lean et al. 2008). Since a discrete model can reasonably resolve ...
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Atmospheric model



An atmospheric model is a mathematical model constructed around the full set of primitive dynamical equations which govern atmospheric motions. It can supplement these equations with parameterizations for turbulent diffusion, radiation, moist processes (clouds and precipitation), heat exchange, soil, vegetation, surface water, the kinematic effects of terrain, and convection. Most atmospheric models are numerical, i.e. they discretize equations of motion. They can predict microscale phenomena such as tornadoes and boundary layer eddies, sub-microscale turbulent flow over buildings, as well as synoptic and global flows. The horizontal domain of a model is either global, covering the entire Earth, or regional (limited-area), covering only part of the Earth. The different types of models run are thermotropic, barotropic, hydrostatic, and nonhydrostatic. Some of the model types make assumptions about the atmosphere which lengthens the time steps used and increases computational speed.Forecasts are computed using mathematical equations for the physics and dynamics of the atmosphere. These equations are nonlinear and are impossible to solve exactly. Therefore, numerical methods obtain approximate solutions. Different models use different solution methods. Global models often use spectral methods for the horizontal dimensions and finite-difference methods for the vertical dimension, while regional models usually use finite-difference methods in all three dimensions. For specific locations, model output statistics use climate information, output from numerical weather prediction, and current surface weather observations to develop statistical relationships which account for model bias and resolution issues.
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