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March 31, 2016
Characterization of High- to Medium-Frequency
Gravity Waves in the Mesosphere Lower
Thermosphere Region using WACCM
Alan Sánchez
Chu Research Group
Cooperative Institute for Research in Environmental Sciences
Atmospheric Gravity Waves
Initial disturbance
Airflow over mountains
Tropospheric jet streams
Buoyancy force in atmosphere due to
vertically varying density
Attempts to restore equilibrium in air, resulting in wave
Carry large amounts of energy/momentum
Affect mean circulation
Affect mean temperature and winds antarctica.gov.au
nasa.gov
2
Mesoscale Gravity Waves
Defined as GWs with:
1-4 hr period
Horizontal wavelength 50-500 km
Typically created by lower atmosphere
activities
Propagate upwards and affect MLT activities,
weather systems, and space weather
Scarcely studied because of instrumental
limitations
ucar.edu
nasa.gov
3
Instrumental Limitations
There exists no single technique to completely obtain a GW’s parameters
Requires coordinated study with multiple instruments
Airglow imagers - λx, λy
LIDAR - λz
Radar - λz
LIDAR systems are limited to range of ~ 80-110 km
Much left to be discovered on origins and behavior in upper atmosphere
4
Whole Atmosphere Community Climate Model (WACCM)
Comprehensive numerical model spanning the range of altitude from Earth’s surface
to the thermosphere
15 minute temporal resolution
¼ degree spatial resolution (~20 km)
Given 8 days of data from February 04-11, 2015
Latitude: ~39 to ~41°N
Longitude: 100 to 120 °W
Geopotential Height: ~80km to ~110km
Zonal wind (U), Meridional wind (V), Temperature (T), Vertical wind (W) 5
Initial Process
1. Analyze entire 8 day span from February 04-11 in search of high- to medium-
frequency GWs
2. Analyze data wrt time and one other dimension (i.e. time vs z)
a. Raw data
b. Raw data - perturbation (mean at each altitude)
c. Filtered data
i. Butterworth filter, high pass was used for initial investigation (up to 4hr period)
d. “Smoothed”
i. Subtract (smooth(U_pert(j,:),8)) from perturbation 6
Raw fields - Not particularly useful (besides in W)
7
Perturbation fields - Subtracting the mean at each altitude
8
Applying high-pass filter extracts waves with desired periods
9
Wavelet analysis confirms February 8 as a good candidate
10
Continued the study focusing on February 8
Choose wave(s) to characterize
Period
Phase
Vertical wavelength
Horizontal Wavelength
Searching for GW near Boulder region at ~98 km with period of ~ 2 hr
11
Decent results, but GW not clear enough/long enough to analyze.
Opted to check other latitudes/longitudes where this wave may be at a lower
altitude because it seems to be propagating upwards
Still looking for roughly 2 hr period wave around hr 13 of February 8, 2015
12
13
Promising GW found passing through 40.6641 N, 113.4375 W
14
Wavelet analysis confirms: GW with ~1.02 hr period
1.012
1.0121.026
0.6629
With a period of 1.02 hr identified, one can narrow down
bandpass filter substantially
15UT 11.5 - 16
16
Bandpass filtered data during time of wave event
Characterizing a 3-dimensional, time-variant wave
Make wave a function of time and one other parameter
Obtain wave characteristics in wrt that dimension only
17
Wave event fit to the proper form
Place appropriate limits on wave parameters
Fit all U, V, T, and W data in time and Z to this wave
equation
Derive amplitude (average)
Derive phase (average)
Derive λz
Obtain plots of fitted parameters
1818
19
Fitted data (1D Fitting)
Amplitude and phase in all four parameters
20
Slope of linear fit to wave phase used to
derive λz (average)
21
Derive wavelength
Parameters fitted using 2D Fitting
22
Results (to be continued)
23
T [hr] 1.02 ± 0.10
λz [km] 13.63 ± 0.021
Conclusions, Broader Impacts, and Future Work
Preliminary results match well with experimental observations
First validation of newly refined WACCM
Enables an unprecedented study of source of GWs,as well as behavior in upper
atmosphere, by eliminating instrumental limitations,
Request lower altitude/higher altitude data from NCAR
Continue studying this GW
Expand study to other GWs
24
March 31, 2016
Questions?

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DLA_Presentation

  • 1. March 31, 2016 Characterization of High- to Medium-Frequency Gravity Waves in the Mesosphere Lower Thermosphere Region using WACCM Alan Sánchez Chu Research Group Cooperative Institute for Research in Environmental Sciences
  • 2. Atmospheric Gravity Waves Initial disturbance Airflow over mountains Tropospheric jet streams Buoyancy force in atmosphere due to vertically varying density Attempts to restore equilibrium in air, resulting in wave Carry large amounts of energy/momentum Affect mean circulation Affect mean temperature and winds antarctica.gov.au nasa.gov 2
  • 3. Mesoscale Gravity Waves Defined as GWs with: 1-4 hr period Horizontal wavelength 50-500 km Typically created by lower atmosphere activities Propagate upwards and affect MLT activities, weather systems, and space weather Scarcely studied because of instrumental limitations ucar.edu nasa.gov 3
  • 4. Instrumental Limitations There exists no single technique to completely obtain a GW’s parameters Requires coordinated study with multiple instruments Airglow imagers - λx, λy LIDAR - λz Radar - λz LIDAR systems are limited to range of ~ 80-110 km Much left to be discovered on origins and behavior in upper atmosphere 4
  • 5. Whole Atmosphere Community Climate Model (WACCM) Comprehensive numerical model spanning the range of altitude from Earth’s surface to the thermosphere 15 minute temporal resolution ¼ degree spatial resolution (~20 km) Given 8 days of data from February 04-11, 2015 Latitude: ~39 to ~41°N Longitude: 100 to 120 °W Geopotential Height: ~80km to ~110km Zonal wind (U), Meridional wind (V), Temperature (T), Vertical wind (W) 5
  • 6. Initial Process 1. Analyze entire 8 day span from February 04-11 in search of high- to medium- frequency GWs 2. Analyze data wrt time and one other dimension (i.e. time vs z) a. Raw data b. Raw data - perturbation (mean at each altitude) c. Filtered data i. Butterworth filter, high pass was used for initial investigation (up to 4hr period) d. “Smoothed” i. Subtract (smooth(U_pert(j,:),8)) from perturbation 6
  • 7. Raw fields - Not particularly useful (besides in W) 7
  • 8. Perturbation fields - Subtracting the mean at each altitude 8
  • 9. Applying high-pass filter extracts waves with desired periods 9
  • 10. Wavelet analysis confirms February 8 as a good candidate 10
  • 11. Continued the study focusing on February 8 Choose wave(s) to characterize Period Phase Vertical wavelength Horizontal Wavelength Searching for GW near Boulder region at ~98 km with period of ~ 2 hr 11
  • 12. Decent results, but GW not clear enough/long enough to analyze. Opted to check other latitudes/longitudes where this wave may be at a lower altitude because it seems to be propagating upwards Still looking for roughly 2 hr period wave around hr 13 of February 8, 2015 12
  • 13. 13 Promising GW found passing through 40.6641 N, 113.4375 W
  • 14. 14 Wavelet analysis confirms: GW with ~1.02 hr period 1.012 1.0121.026 0.6629
  • 15. With a period of 1.02 hr identified, one can narrow down bandpass filter substantially 15UT 11.5 - 16
  • 16. 16 Bandpass filtered data during time of wave event
  • 17. Characterizing a 3-dimensional, time-variant wave Make wave a function of time and one other parameter Obtain wave characteristics in wrt that dimension only 17
  • 18. Wave event fit to the proper form Place appropriate limits on wave parameters Fit all U, V, T, and W data in time and Z to this wave equation Derive amplitude (average) Derive phase (average) Derive λz Obtain plots of fitted parameters 1818
  • 19. 19 Fitted data (1D Fitting)
  • 20. Amplitude and phase in all four parameters 20
  • 21. Slope of linear fit to wave phase used to derive λz (average) 21 Derive wavelength
  • 22. Parameters fitted using 2D Fitting 22
  • 23. Results (to be continued) 23 T [hr] 1.02 ± 0.10 λz [km] 13.63 ± 0.021
  • 24. Conclusions, Broader Impacts, and Future Work Preliminary results match well with experimental observations First validation of newly refined WACCM Enables an unprecedented study of source of GWs,as well as behavior in upper atmosphere, by eliminating instrumental limitations, Request lower altitude/higher altitude data from NCAR Continue studying this GW Expand study to other GWs 24

Notas do Editor

  1. Antarctica - from ground NASA - from ISS looking over Atlantic Ocean energy/momentum == change in mean circulation and mean temperature/winds
  2. Antarctica - from ground NASA - from ISS looking over Atlantic Ocean energy/momentum == change in mean circulation and mean temperature/winds
  3. Lidars usually operate around 80 to 110 km, STAR Lidar can reach 120 km AMTM only at 87 km
  4. WACCM - from NCAR’s Whole Atmoshp Working Group Longitude 10x better Latitude 8x better 80x better in horizontal Vertical - 4x better 300x increase of resolution 2015 model resolution was improved substantially - model needs to be validated
  5. Mention how taken average across 8 day span is very succeptible to error. Was only used to find day where strong wave events are present
  6. Include W Easy to see in W, not easy in T, U, V, bc larger scale waves are more dominant in these parameters Why? Intrinsic property of waves Higher better manifest in W
  7. Use MATLAB function butter(). Type of signal processing filter designed to have as flat a frequency response as possible Obtain parameters b,a Use filtfilt() zero-phase digital filtering by processing the input data, x, in both the forward and reverse directions
  8. 1.762 hr peak period
  9. Peak period not found at 80km, rather at 85km High pass filter with 1.5 max period
  10. Trial and error process to figure out how narrow… used 1.02 pm 0.1 h
  11. Change xlabel
  12. Fits GW to a single period -- looks identical to filtered data bc of how narrow the filter applied was +/- 0.1 hr
  13. 2d least squares fit to data