NATS 101
 Intro to Weather and Climate
Section 05: 2:00PM TTh ILC 150
Dr. E. Robert Kursinski
TAs: Mike Stovern &
         April Chiriboga

NATS 101 - 05

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NATS 101 - 05
Lecture 2

Density, Pressure & Temperature

Climate and Weather

Two Important Concepts
LetÕs introduce two new concepts...
Density
Pressure

What is Density?
Density (r) = Mass (M) per unit Volume (V)
      r = M/V
      r = Greek letter ÒrhoÓ
Typical Units: kg/m3, gm/cm3
Mass  =
  # molecules (mole) « molecular mass (gm/mole)
    Avogadro number (6.023x1023 molecules/mole)

Density Change
Density (r) changes by altering either
a) # molecules in a constant volume
b) volume occupied by the same # molecules

What is Pressure?
Pressure (p) = Force (F) per unit Area (A)
Typical Units: pounds per square inch
(psi), millibars (mb), inches Hg
Average pressure at sea-level:
14.7 psi
1013 mb
29.92 in. Hg

Pressure
Can be thought of as weight of air above you.
(Note that pressure acts in all directions!)
So as elevation increases, pressure decreases.

Density and Pressure Variation
Key Points
Both decrease rapidly with height
Air is compressible, i.e. its density varies

Why rapid change with height?
Consider a spring with 10 kg bricks on top of it
The spring compresses a little more with each addition of a brick. The spring is compressible.

Why rapid change with height?
Now consider several 10 kg springs piled  on top of each other.
Topmost spring compresses the least!
Bottom spring compresses the most!
The total mass above you decreases rapidly w/height.

Why rapid change with height?
Finally, consider piled-up parcels of air, each with the same # molecules.
The bottom parcel is squished the most.
Its density is the highest.
Density decreases most rapidly at bottom.

Why rapid change with height?
Each parcel has the same mass (i.e. same number of molecules), so the height of a parcel represents the same change in pressure Dp.
Thus, pressure must decrease most rapidly near the bottom.

A Thinning Atmosphere
Pressure Decreases Exponentially with Height
Logarithmic Decrease
For each 16 km increase inaltitude, pressure drops by factor of 10.
48 km - 1 mb     32 km - 10 mb 16 km - 100 mb                      0 km - 1000 mb

Exponential Variation
Logarithmic Decrease
For each 5.5 km height increase, pressure drops by factor of 2.
16.5 km - 125 mb 11 km - 250 mb 5.5 km - 500 mb         0 km - 1000 mb

Water versus Air
Pressure variation in water acts more like bricks, close to incompressible, instead of like springs.

Equation for Pressure Variation
We can Quantify Pressure Change with Height

What is Pressure at 2.8 km?
(Summit of Mt. Lemmon)
Use Equation for Pressure Change

What is Pressure at Tucson?
Use Equation for Pressure Change
LetÕs get cockyÉ
How about Denver? Z=1,600 m
How about Mt. Everest? Z=8,700 m
You try these examples at home for practice

Temperature (T) Profile
More complex than pressure or density
Layers based on the Environmental Lapse Rate (ELR), the rate at which temperature decreases with height.

Higher Atmosphere
Molecular Composition
Homosphere- gases are well mixed.  Below 80 km. Emphasis of Course.
Heterosphere- gases separate by molecular weight, with heaviest near bottom. Lighter gases (H, He) escape.

Atmospheric Layers Essentials
Thermosphere-above 85 km
Temps warm w/height
Gases settle by molecular weight (Heterosphere)
Mesosphere-50 to 85 km
Temps cool w/height
Stratosphere-10 to 50 km
Temps warm w/height, very dry
Troposphere-0 to 10 km (to the nearest 5 km)
Temps cool with height
Contains ÒallÓ H2O vapor, weather of public interest

Summary
Many gases make up air
N2 and O2 account for ~99%
Trace gases: CO2, H2O, O3, etc.
Some are very importantÉmore later
Pressure and Density
Decrease rapidly with height
Temperature
Complex vertical structure

Climate and Weather
ÒClimate is what you expect.
Weather is what you get.Ó
-Robert A. Heinlein

Weather
Weather – The state of the atmosphere:
for a specific place
at a particular time
Weather Elements
1) Temperature
2) Pressure
3) Humidity
4) Wind
5) Visibility
6) Clouds
7) Significant Weather

Surface Station Model
Temperatures
Plotted ¡F in U.S.
Sea Level Pressure
Leading 10 or 9 is not plotted
Examples:
1013.8 plotted as 138
998.7 plotted as 987
1036.0 plotted as 360

Sky Cover and Weather Symbols
Wind Barbs
Direction
Wind is going towards
Westerly Þ from the West
Speed (accumulated)
Each flag is 50 knots
Each full barb is 10 knots
Each half barb is 5 knots

Slide 31
Practice Surface Station
Temperate (oF)
Pressure (mb)      Last Three Digits (tens, ones, tenths)
Dew Point (later) Moisture
Wind Barb      Direction and Speed
Cloud Cover Tenths total coverage

Practice Surface Station
Sea Level Pressure
Leading 10 or 9 is not plotted
Examples:
1013.8 plotted as 138
998.7 plotted as 987
1036.0 plotted as 360

Surface Map Symbols
Fronts
Mark the boundary between different   air massesÉlater
Significant weather occurs near fronts
Current US Map

Slide 35
Radiosonde
Weather balloons, or radiosondes, sample atmospheric to 10 mb.
They measure temperature moisture pressure
They are tracked to get winds

Radiosonde Distribution
Radiosondes released at 0000 and at 1200 GMT for a global network of stations.
Large gaps in network over oceans and in less affluent nations.
Stations ~400 km apart over North America

Radiosonde for Tucson
Example of data taken by weather balloon released over Tucson
Temperature (red)
Moisture (green)
Winds (white)
Note variations of all fields with height
UA Tucson 1200 RAOB

Climate
Climate - Average weather and range of weather, computed over many years.
Whole year (mean annual precipitation for Tucson, 1970-present)
Season (Winter: Dec-Jan-Feb)
Month (January rainfall in Tucson)
Date (Average, record high and low temperatures for Jan 1 in Tucson)

Slide 40
Slide 41
Climate of Tucson
Monthly Averages
Slide 43
Climate of Tucson
Probability of Last Freeze
Climate of Tucson
Probability of Rain
Climate of Tucson
Extreme Rainfall
Climate of Tucson
Snow!
Summary
Weather - atmospheric conditions at specific time and place
Weather Maps Þ Instantaneous Values
Climate - average weather and the range of extremes compiled over many years
Statistical Quantities Þ Expected Values

Reading Assignment
Ahrens
Pages 25-42
Problems 2.1-2.4, 2.7, 2.9-2.12
(2.1 Þ Chapter 2, Problem 1)
DonÕt forget the clickers É