Atmospheric Rossby Waves in Fall 2011: Analysis of Zonal Wind Speed and 500hPa Heights in the Northern and Southern Hemispheres

Similar documents
Atmospheric Rossby Waves Fall 2012: Analysis of Northern and Southern 500hPa Height Fields and Zonal Wind Speed

Atomspheric Waves at the 500hPa Level

Atmospheric Waves James Cayer, Wesley Rondinelli, Kayla Schuster. Abstract

Tracking of Large-Scale Wave Motions

Understanding El Nino-Monsoon teleconnections

Goal: Develop quantitative understanding of ENSO genesis, evolution, and impacts

Gravity waves in stable atmospheric boundary layers

Atmospheric Forces and Force Balances METR Introduction

The Coriolis force, geostrophy, Rossby waves and the westward intensification

Onset, active and break periods of the Australian monsoon

APPENDIX B NOAA DROUGHT ANALYSIS 29 OCTOBER 2007

ATOMOSPERIC PRESSURE, WIND & CIRCULATION

5. El Niño Southern Oscillation

Atmospheric dynamics and meteorology

McKnight's Physical Geography 11e

Review of Equivalent Neutral Winds and Stress

Tropical temperature variance and wave-mean flow interactions derived from GPS radio occultation data

ATMS 310 Tropical Dynamics

An experimental study of internal wave generation through evanescent regions

ESCI 107/109 The Atmosphere Lesson 9 Wind

Lecture 14. Heat lows and the TCZ

Atmosphere, Ocean and Climate Dynamics Fall 2008

Changes of The Hadley Circulation Since 1950

PHSC 3033: Meteorology Air Forces

3. DYNAMICS OF GLOBAL CLIMATIC INDICES AND MAIN COMMERCIAL CATCHES

Isaac Newton ( )

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 4 September 2012

ESCI 343 Atmospheric Dynamics II Lesson 10 - Topographic Waves

Climate & Earth System Science. Introduction to Meteorology & Climate. Chapter 07. Lecture 14. Global Scale Winds. Simple Introductory Examples:

save percentages? (Name) (University)

SURFACE CURRENTS AND TIDES

Atmospheric Circulation

Analysis of NAM Forecast Wind Shear for Dissipation of Mesoscale Convective Systems

RELATIONSHIP BETWEEN CROSS-EQUATORIAL FLOW, TRADE WIND FLOW AND FAVOURABLE CONDITIONS OF THE CYCLOGENESIS OVER THE MOZAMBICA CHANNEL

ESCI 485 Air/sea Interaction Lesson 9 Equatorial Adjustment and El Nino Dr. DeCaria

ATMOSPHERIC CIRCULATION

9/25/2014. Scales of Atmospheric Motion. Scales of Atmospheric Motion. Chapter 7: Circulation of the Atmosphere

+ R. gr T. This equation is solved by the quadratic formula, the solution, as shown in the Holton text notes given as part of the class lecture notes:

ATS 351, Spring 2009 Week 10, Lab #8 due April 2 nd What Makes the Wind Blow? - 60 points Please show your work for calculations.

Variability in the tropical oceans - Monitoring and prediction of El Niño and La Niña -

AOS 103. Week 4 Discussion

Climatology of Arctic and Antarctic Polar Vortices Using Elliptical Diagnostics

Scales of Atmospheric Motion Scale Length Scale (m) Time Scale (sec) Systems/Importance Molecular (neglected)

100-Meter Dash Olympic Winning Times: Will Women Be As Fast As Men?

Evaluation of ACME coupled simulation Jack Reeves Eyre, Michael Brunke, and Xubin Zeng (PI) University of Arizona 4/19/3017

Background physics concepts (again)

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 8 March 2010

Wind Movement and Global and Local Winds

Short-period gravity waves over a high-latitude observation site: Rothera, Antarctica

SIO 210 MIDTERM, 26 October 2009.

ATMOSPHERIC CIRCULATION. WIND = The horizontal movement of air. Results from the differences in air pressure. Always moves from HIGH to LOW.

Lecture 18: El Niño. Atmosphere, Ocean, Climate Dynamics EESS 146B/246B

Global Circulations. GEOG/ENST 2331 Lecture 15 Ahrens: Chapter 10

CHAPTER 8 WIND AND WEATHER MULTIPLE CHOICE QUESTIONS

Sea and Land Breezes METR 4433, Mesoscale Meteorology Spring 2006 (some of the material in this section came from ZMAG)

How coriolis forces influence turbidity currents.

Recent Changes in Wind Chill Temperatures at High Latitudes in North America

TEMPORAL ANALYSIS OF THE JAVELIN THROW

Summary of Lecture 10, 04 March 2008 Introduce the Hadley circulation and examine global weather patterns. Discuss jet stream dynamics jet streams

SIO 210 Problem Set 3 November 4, 2011 Due Nov. 14, 2011

Wednesday, September 20, 2017 Reminders. Week 3 Review is now available on D2L (through Friday) Exam 1, Monday, September 25, Chapters 1-4

3. Climatic Variability. El Niño and the Southern Oscillation Madden-Julian Oscillation Equatorial waves

GEOS 201 Lab 13 Climate of Change InTeGrate Module Case studies 2.2 & 3.1

Analysis of 2012 Indian Ocean Dipole Behavior

APPROACH RUN VELOCITIES OF FEMALE POLE VAULTERS

Chapter 7 Weather and Climate

Nortek Technical Note No.: TN-021. Chesapeake Bay AWAC Evaluation

Data Analysis of the Seasonal Variation of the Java Upwelling System and Its Representation in CMIP5 Models

6.9B verify through investigations that thermal energy moves in a predictable pattern from warmer to cooler 6.5B recognize that a limited number of

The Monsoon and Its Variability Prof. Sulochana Gadgil Centre for Atmospheric & Oceanic Sciences Indian Institute of Science Bangalore

The Coriolis Effect - Deflect the Arrows!

CHAPTER 6 DISCUSSION ON WAVE PREDICTION METHODS

Lornshill Academy. Geography Department Higher Revision Physical Environments - Atmosphere

Influence of enhanced convection over Southeast Asia on blocking ridge and associated surface high over Siberia in winter

100-Meter Dash Olympic Winning Times: Will Women Be As Fast As Men?

Scales of Atmospheric Motion. The atmosphere features a wide range of circulation types, with a wide variety of different behaviors

The Asian monsoon anticyclone and water vapor transport

Section 6. The Surface Circulation of the Ocean. What Do You See? Think About It. Investigate. Learning Outcomes

E. Agu, M. Kasperski Ruhr-University Bochum Department of Civil and Environmental Engineering Sciences

Wednesday, September 27, 2017 Test Monday, about half-way through grading. No D2L Assessment this week, watch for one next week

Applying Hooke s Law to Multiple Bungee Cords. Introduction

Equation 1: F spring = kx. Where F is the force of the spring, k is the spring constant and x is the displacement of the spring. Equation 2: F = mg


AT 351 Lab 5 Ocean Circulations and Wind Due in lab: The Week of February 25 th 140 Points Total

TEMPERATURE BEHAVIOR during WINTER in ANTARCTICA

SIO20 - Midterm Examination 2 v1 Winter Section A. Circle the letter corresponding to the best answer. (1 point each)

Investigation of Common Mode of Variability in Boreal Summer Intraseasonal Oscillation and Tropospheric Biennial Oscillation

Surface Waves NOAA Tech Refresh 20 Jan 2012 Kipp Shearman, OSU

3.6 Magnetic surveys. Sampling Time variations Gradiometers Processing. Sampling

INFLUENCE OF ENVIRONMENTAL PARAMETERS ON FISHERY

Impacts of intraseasonal oscillation on the onset and interannual variation of the Indian summer monsoon

WHAT CAN WE LEARN FROM COMPETITION ANALYSIS AT THE 1999 PAN PACIFIC SWIMMING CHAMPIONSHIPS?

Influences on Weather and Climate Weather and Climate. Coriolis Effect

2.4. Applications of Boundary Layer Meteorology

Propagation of planetary-scale zonal mean wind anomalies and polar oscillations

Global observations of stratospheric gravity. comparisons with an atmospheric general circulation model

EVE 402/502 Air Pollution Generation and Control. Introduction. Intro, cont d 9/18/2015. Chapter #3 Meteorology

Wind and Air Pressure

Undertow - Zonation of Flow in Broken Wave Bores

Geostrophic and Tidal Currents in the South China Sea, Area III: West Philippines

Transcription:

Atmospheric Rossby Waves in Fall 211: Analysis of Zonal Wind Speed and 5hPa Heights in the Northern and Southern s Samuel Cook, Craig Eckstein, and Samantha Santeiu Department of Atmospheric and Geological Sciences, Iowa State University, Ames, IA ABSTRACT This study is an analysis of atmospheric waves using 5hPa heights as well as 5hPa and 3-15hPa zonal winds. Data was collected from September 7, 211, to November 11, 211, in order to relate real-time atmospheric waves with barotropic Rossby wave theory. Collected data included wave number, average wave amplitude, wave speed, and zonal wind calculations from the 5hPa and 3-15hPa layers. In general, observations did not follow theory except for one case in the Northern. The waves in this study exhibited decreasing wave speed as wave number decreased. In addition, wave number increased as amplitude decreased. 1. Introduction Large-scale atmospheric wave motions are an integral part of everyday weather. Whether it is sunny or raining, atmospheric waves play an important part in determining it. Atmospheric waves are wavelike disturbances or fluctuations of different variables in the atmosphere, such as pressure and temperature. Through quasi-geostrophic theory, forecasters can project future weather events using these wave motions. Equations have been derived using atmospheric waves to forecast where and at what magnitude upward motion will occur, which can lead to understanding where precipitation occurs. The predictability of waves can therefore be used to forecast the weather. The goals for this study are to analyze relationships between the data recorded and Rossby wave theory. Over sixty-six days from September 7, 211, to November 11, 211, data was collected from both hemispheres, including wave number, average amplitude of the waves, wave speed, and two zonal wind calculations from the levels of 5 hectopascals (hpa) and

3hPa-15hPa. Analyses were performed on the data to find correlations, if any, with barotropic Rossby wave theory. 2. Data The data used in this research is from the Iowa State University Meteorological Products website. The products given are the 8-day Northern and Southern 5hPa analysis and the 8-day global zonal wind average. The 5hPa analysis is imaged from the North Pole (Northern ) or South Pole (Southern ) to the equator. Lines of latitude are drawn every ten degrees from the pole to the equator, and lines of longitude are drawn every ten degrees around the Earth starting at the Prime Meridian. The global zonal wind average is created by averaging wind speed at a given latitude over the entire globe at every pressure level. Data was collected from September 7, 211, to November 11, 211. The data provided in the Northern 5hPa analysis is more accurate than the Southern 5hPa Analysis due to weather station availability. The Northern is more populated, and has more access to weather stations that provide data such as temperatures, winds, and propagations of waves. The Southern is more difficult to provide accurate data because of fewer weather stations, and due to greater area of ocean it is hard to find a stable station to give accurate data. Using these products we collected five variables: wave number (N), wave amplitude (A), wave speed (C), zonal wind speed at 5hPa (U5), and the zonal wind maximum in the 3-15hPa level (Uupper). Each variable is calculated for both the Northern and Southern s. The data collected from the images were submitted into a Google Spreadsheet that was shared with the group through Google Docs. Each group member was responsible for recording their variables for the day and the duration of the project.

3. Methods Multiple data fields were gathered from the 5hPa height analysis and global zonal wind average images retrieved from the Iowa State University Meteorological Products webpage. These include wave number, wave amplitude, wave speed, and the zonal wind speeds at the 5hPa layer and the 3-15hPa layer. Each of these variables required a method for determining or calculating their values. The first step in determining many of the variables is to choose a target contour in each hemisphere to follow as the data progresses in time, as well as a target latitude on which to record data. For the northern hemisphere, the 558 m contour was an appropriate target contour. The 558 m contour separates yellow and orange/brown color-filled regions. In the southern hemisphere the 528 m contour, separating green and bl - S in the southern hemisphere because it is approximately halfway between the poles and equator and clearly marked on the data images. Both the 558 m contour and the 528 m contour are wellchosen becaus latitude line. a. Wave Number, N latitude line and progress completely around the circumference of the earth on that latitude line. Count the number of times the target contour crosses the latitude line. This always gives an even number. Finally, divide the value by two to get the actual wave number.

b. Wave Amplitude, A Waves are composed of troughs and ridges; therefore, calculations of the wave ampli latitude line, calculate the height of the 5hPa layer. Average the maximum values and the minimum values, subtract the average minimum from the average maximum, and divide by two. This will give the average amplitude of the waves on a given day. c. Wave Speed, C Wave speed is the physical speed of the waves, not necessarily the group velocity. In this case, the two are not equal, as will be discussed in later sections. To calculate wave speed, use the data images from the days before (day 1) and after (day + 1) the latitude line. Calculate the difference in longitude and divide by two to get the wave speed. d. 5hPa Zonal Wind Speed, U5 Zonal wind speed is determined simply by reading the wind speed value off the global average zonal wind data images. For U5, mark the location latitude line in each hemisphere, move upward on the graph to the 5hPa line, and read the wind speed value. Positive values indicate westerly winds, whereas negative values indicate easterly winds.

Wave Speed (deg/day) e. 3-15hPa Zonal Wind Speed, Uupper Calculating Uupper is equivalent to calculating U5, except for the pressure level at which the wind speed is determined. Instead of reading the wind speed off at 5hPa, look for the maximum wind speed value in the 3-15hPa layer and record that value. As always, with human calculations comes error. In calculating wave amplitude and wave speed, it was necessary to estimate the 5hPa latitude line. In calculating zonal wind speed, S latitude lines were also estimated. However, the researchers were consistent in their calculations of each variable. Finally, in the data analysis some fields were averaged in order to compare values. regression was used with scatter plots to model the relationship between multiple variables. 4. Results a. Speed of wave patterns Over the period of data collection, wave speed decreased slightly with time in both the Northern and Southern s (Figure 1). 25 Wave Speed Over Time Northern C (deg/day) 2 15 1 5 9/7/211 9/14/211 9/21/211 9/28/211 1/5/211 1/12/211 1/19/211 1/26/211 11/2/211 11/9/211 Southern C (deg/day) (Northern C (deg/day)) (Southern C (deg/day)) Figure 1: Wave speed versus time with linear regression trend lines

At the beginning of the period, wave speed was, on average, 14 deg/day, whereas at the end of the period, average wave speed was 9 deg/day. Waves moving at 14 deg/day take approximately 25 days to circumvent the globe, while waves moving at 9 deg/day traverse the Earth in approximately 4 days. The synoptic timescale, or the time that synoptic features last in the atmosphere, is 2-3 days. Therefore, the waves studied in this project will not survive to travel around the globe. b. Relationship between zonal wind speed and wave propagation Little to no correlation exists between wave speed and wind speed at 5hPa (U5) in both hemispheres (Figures 2, 3). The same is true for wind speed at upper levels (Uupper) in the Southern (Figures 4, 5); however, there is a slight correlation between wave speed and Uupper in the Northern with a correlation coefficient R 2 =.287. According to Rossby wave theory, without any background flow (U5 or Uupper) Rossby waves propagate in the opposite direction of zonal flow. It is only due to background winds that they propagate with the flow. Therefore, we expect to see wave speed increasing as zonal wind speed increases, and indeed that is the case in both hemispheres with Uupper and the Northern with U5.

Wind Speed (deg/day) Wind Speed (deg/day) 4 Wave Speed v. Wind Speed (U5), NH 3 2 1 R² =.71-1 5 1 15 2 (Series1) -2-3 -4 Wave Speed (deg/day) 7 6 Wave Speed v. Wind Speed (U5), SH 5 4 3 2 1-1 (Series1) R² =.12 5 1 15 2 25 Wave Speed (deg/day) Figures 2 and 3: Wave speed versus wind speed at 5hPa in the Northern (Figure 2) and Southern (Figure 3) s with linear regression trend lines

Wind Speed (deg/day) Wind Speed (deg/day) 6 Wave Speed v. Wind Speed (Uupper), NH 5 4 3 2 R² =.287 (Series1) 1-1 5 1 15 2 Wave Speed (deg/day) 6 Wave Speed v. Wind Speed (Uupper), NH 5 4 3 2 R² =.287 (Series1) 1-1 5 1 15 2 Wave Speed (deg/day) Figures 4 and 5: Wave speed versus wind speed in the 3-15hPa layer in the Northern (Figure 4) and Southern (Figure 5) s with linear regression trend lines

In addition, according to Rossby theory we expect to see wind speed greater than wave speed, on average, in order to account for the movement of waves with the zonal flow. In the Southern, the average zonal wind speed at 5hPa (U5) is 2.9 deg/day while the average wave speed is 12.5 deg/day. This agrees with Rossby wave theory. However, in the Northern the average wind speed is 1. deg/day, while the average wave speed is 1.1 deg/day. This does not comply with Rossby wave theory, but the values of U5 and wave speed C are very close. The wave speed C calculated here is the speed that Rossby waves move as observed by humans. However, the wave speed c x u is the speed at which waves propagate without any background zonal flow. This wave speed c x u is given by where u is the background zonal flow, β is a constant, and k and l are representative of the wave number. Therefore according to theory, c x u should increase as wave number decreases. The data collected in this study does not support the theory, as seen in Figures 6 and 7. The Northern plot has a larger correlation coefficient than the Southern, but neither plot correlates well. The disagreement with theory is likely due to human measurement error when measuring wave speed and/or wind speed.

C - U5 (deg/day) C - U5 (deg/day) [C - U5] v. Wave Number, NH 5 4 3 2 1-1 1 2 3 4 5 6 7 R² =.398 (Series1) -2-3 Wave Number [C - U5] v. Wave Number, SH 3 2 1-1 -2 1 2 3 4 5 6 7 R² =.16 (Series1) -3-4 -5 Wave Number Figures 6 and 7: Wave speed minus wind speed at 5hPa versus wave number in the Northern (Figure 6) and Southern (Figure 7) s with linear regression trend lines

Wave Number c. Temporal scale of waves On average, a dominant wave number in both hemispheres persists for 4-5 days and ranges from 3-7 days with occasional anomalies. This is visible in Figure 8. As stated previously, the synoptic timescale is 2-3 days. The time in which a dominant wave number persists exceeds the synoptic timescale in most cases. 7 Wave Number v. Date 6 5 Northern 4 3 2 1 R² =.77 R² =.162 Southern (Northern ) 8/25/211 9/4/211 9/14/211 9/24/211 1/4/211 1/14/211 1/24/211 11/3/211 11/13/211 11/23/211 Figure 8: Wave number versus time for both the Northern and Southern s with linear trend lines In addition, Rossby wave theory states that higher wave numbers (or shorter waves) lead to larger amplitudes, based on calculations using Equation 4 above. According to Figures 9 and 1, in which wave amplitude A is plotted against wave number N, as wave number increases wave amplitude decreases in both hemispheres. Observations from the past few months do not follow Rossby wave theory. It is also notable that the correlation coefficients in these two graphs are two of the highest R 2 values seen in any graphs in this study.

Amplitude (m) Amplitude (m) Amplitude v. Wave Number, NH 25 2 15 1 R² =.2565 (Series1) 5 1 2 3 4 5 6 7 Wave Number 45 4 35 3 25 2 15 1 5 Amplitude v. Wave Number, SH R² =.2717 1 2 3 4 5 6 7 Wave Number (Series1) Figures 9 and 1: Wave amplitude versus wave number in the Northern (Figure 9) and Southern (Figure 1) s with linear trend lines

9/7/211 9/9/211 9/11/211 9/13/211 9/15/211 9/17/211 9/19/211 9/21/211 9/23/211 9/25/211 9/27/211 9/29/211 1/1/211 1/3/211 1/5/211 1/7/211 1/9/211 1/11/211 1/13/211 1/15/211 1/17/211 1/19/211 1/21/211 1/23/211 1/25/211 1/27/211 1/29/211 1/31/211 11/2/211 11/4/211 11/6/211 11/8/211 11/1/211 Amplitude (m) d. Changes in wave amplitude Wave amplitude increased over time in both the Northern and Southern s. The increase was greater in the Southern. In the Northern, periods of growth lasted 2-3 days and periods of decay lasted 4-6 days. On average, wave amplitude increased by 73% and decreased by 4%. This matches the linear regression fit in Figure 11 which shows an increasing trend. In the Southern, periods of growth lasted 5-7 days while periods of decay lasted 3-4 days, which is the opposite of periods of growth and decay in the Northern. Wave amplitude increased by 95% and decreased by 63% on average. This agrees with the linear fit in Figure 12 showing increasing amplitude with time. 25 Amplitude v. Date, NH 2 15 R 2 =.56 1 5 (Series1) Figure 11: Wave amplitude versus time in the Northern with linear trend lines

9/7/211 9/9/211 9/11/211 9/13/211 9/15/211 9/17/211 9/19/211 9/21/211 9/23/211 9/25/211 9/27/211 9/29/211 1/1/211 1/3/211 1/5/211 1/7/211 1/9/211 1/11/211 1/13/211 1/15/211 1/17/211 1/19/211 1/21/211 1/23/211 1/25/211 1/27/211 1/29/211 1/31/211 11/2/211 11/4/211 11/6/211 11/8/211 11/1/211 Amplitude (m) 35 Amplitude v. Date, SH 3 25 2 15 1 R 2 =.1165 (Series 5 Figure 12: Wave amplitude versus time in the Southern with linear trend lines e. Zonal wind evolution Evolution of the zonal wind with time is shown in Figures 13 and 14. Figure 13 shows evolution of the 5hPa wind speed (U5) with time while Figure 14 shows evolution of the upper atmosphere wind speed (Uupper) with time. In the Southern, wind speeds at 5hPa and in the upper atmosphere increased with time. The wind speeds at 5hPa increased more than the speeds at upper levels. In the Northern, wind speeds at both levels of interest decreased, with the upper-level winds decreasing more dramatically than the 5hPa winds. Also, the wind speed in all cases was highly variable. However, in the Northern, a fairly consistent downward trend occurred, while the Southern exhibited fluctuations in upward and downward trends.

9/7/211 9/9/211 9/11/211 9/13/211 9/15/211 9/17/211 9/19/211 9/21/211 9/23/211 9/25/211 9/27/211 9/29/211 1/1/211 1/3/211 1/5/211 1/7/211 1/9/211 1/11/211 1/13/211 1/15/211 1/17/211 1/19/211 1/21/211 1/23/211 1/25/211 1/27/211 1/29/211 1/31/211 11/2/211 11/4/211 11/6/211 11/8/211 11/1/211 Wind Speed (m/s) 9/7/211 9/9/211 9/11/211 9/13/211 9/15/211 9/17/211 9/19/211 9/21/211 9/23/211 9/25/211 9/27/211 9/29/211 1/1/211 1/3/211 1/5/211 1/7/211 1/9/211 1/11/211 1/13/211 1/15/211 1/17/211 1/19/211 1/21/211 1/23/211 1/25/211 1/27/211 1/29/211 1/31/211 11/2/211 11/4/211 11/6/211 11/8/211 11/1/211 Wind Speed (m/s) Wind Speed (5mb) v. Date 6 5 4 3 2 1-1 -2-3 R 2 =.423 R 2 =.1263 Northern Southern (Northern ) (Southern ) 8 7 6 Wind Speed (upper) v. Date Northern 5 4 3 2 1-1 R 2 =.125 R 2 =.2396 Southern (Northern ) (Southern ) Figures 13 and 14: Wind speed at 5hPa (Figure 13) or in the 3-15hPa (Figure 14) layer, versus time in both hemispheres with linear trend lines

Expected wind speed behavior with time for the Northern is that wind speeds increase with time, due to the change of season from summer to winter and an increase in the temperature gradient between the North Pole and the equator. Expected wind speed behavior in the Southern is the opposite. As the seasons change from winter to summer, the temperature gradient should decrease between the pole and the equator, and wind speeds should decrease. This is the opposite of what is documented in this study. f. Relationship between zonal wind speed and wave growth and decay with time The comparison between zonal wind speed and wave amplitude varies between hemispheres. In the Northern, the overall trends oppose each other. Amplitude increases over the time period of this study, while 5hPa wind speed decreases over time. It is also fairly evident in Figure 15 that, in general, wind speed maxima are aligned with amplitude minima. The Southern does not exhibit opposing trends with time. The amplitude and wind speed both increase over the time period. There is not a clear-cut relationship evident in the graph (Figure 16) that wind speed maxima/minima are associated with amplitude maxima/minima.

Amplitud (m)e Amplitude (m) 25 Amplitude and Wind Speed (5mb) v. Date, NH 3 Amplitude (m) 2 R² =.1263 15 R² =.56 1 2 1-1 Wind Speed (m/s) (Amplitude (m)) (Wind Speed (m/s)) 5-2 -3 Wind Speed (m/s) 45 4 35 3 25 2 15 1 5 Amplitude and Wind Speed (5mb) v. Date, SH 6 5 4 3 R² =.1165 2 R² =.423 1 Amplitude (m) Wind Speed (m/s) (Amplitude (m)) (Wind Speed (m/s)) -1 Wind Speed (m/s) Figures 15 and 16: Amplitude versus wind speed at 5hPa in the Northern (Figure 15) and Southern (Figure 16) s with linear trend lines

5. Discussion Rossby wave theory describes the evolution of atmospheric long and short waves. The speed of Rossby waves, c x, is dispersive, which means that c x is dependent on wave number. This creates a large difference in speed c x between long waves (small wave number) and short waves (large wave number). According to Rossby wave theory and using Equation 4, without background zonal flow long waves propagate more quickly than short waves against the direction of the zonal flow. When background zonal flow is added to the situation, short waves move faster in the direction of the zonal flow because of their initial, small speed against the zonal flow. Rossby wave theory also states that the longest waves (small wave numbers) typically have smaller amplitudes. Finally, Rossby wave theory implies that energy moves from shorter to longer waves, finally ending up in gravity waves that propagate energy away in either direction. In general, observations from this study did not agree with Rossby wave theory. The waves in this study exhibited decreasing speed as wave number decreased. In addition, wave number increased as amplitude decreased. Both of these statements do not comply with barotropic Rossby wave theory. Finally, in the Northern the wave speed (C) was actually greater than the zonal wind speed (U5), which means that waves in the Northern were retrograding with time. This is not typically seen in the Northern and may be due to human error in measuring wave speed (C) or simply not a long enough time period in the study. Disagreement between observations in this study and Rossby wave theory may also be due to the assumptions created when deriving the barotropic Rossby wave theory. Assuming a barotr ρ

that temperature does not vary with location. Due to the existence of fronts in the atmosphere, this is not always an accurate assumption. The conservation of absolute vorticity was also assumed; while this is a helpful assumption, it may not always hold in reality.