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 |