Climatology DatabaseBY SIERRA RITTER

SSed PDFs

An evaluation of upper air climatology with equations

http://www.docstoc.com/docs/9884187/Statistical-Comparison-of-Reginal-Atmospheric-Modeling-System-Forecast

Creating Equations

Since what we’re looking to have at the end of this research and analyzing is a general equation, I’m looking to compile components, factors, opinions, etcetera to figure out what could work best. I’ve decided to work with

PV = nRT and expand from there.

P

ARM Climate Research Facility (describes and graphs a few factors of upper air climate)

V

NASA Water Vapor

n

R

R is a constant in the equation given the value 0.0821 (L*atm)/(K*mol)

Note: Will it be still be a constant when P,V,n, and T are reevaluated into their own equations?

T

Nation Climate Data Center (intervals aren’t precise due to values being monthly averages)

Real Time Weather Data (temperatures and wind)

Wind Speed

Aviation Weather METAR Data

Climate Feedback

Science Museum Any change in air temperature leads to a change in levels of

atmospheric water vapour. This in turn changes the amount of infrared energy absorbed in the atmosphere, because water vapour is a greenhouse gas. For example, an initial rise in temperature causes an increase in water vapour, leading to more infrared energy absorption and a further rise in temperature. However, in areas of high surface humidity, such as the tropics, most of the available infrared energy is already absorbed by the existing levels of water vapour. So the extra water vapour would have a more pronounced effect at higher altitudes, causing the upper troposphere to warm at a faster rate than the surface and so reducing the lapse rate. Conversely, an initial decrease in temperature would result in an increased lapse rate.

Research TBC

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