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Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
A13M-08: Global assimilation of X Project Loon stratospheric balloon observations
Lawrence Coy Science Systems and Applications, Inc. Mark R Schoeberl Science and Technology Corporation
Steven Pawson NASA Goddard Space Flight Center Salvatore Candido Project Loon, X Robert W Carver Project Loon, X
Question: Is the current conventional and satellite observation network sufficient to characterize the winds in the lower stratosphere? In this presentation, we add independent wind observations derived from constant pressure balloons to a state-of-the-art data assimilation system and evaluate improvements (if any) to forecasts and analyses.
https://ntrs.nasa.gov/search.jsp?R=20180000629 2020-07-02T15:11:56+00:00Z
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Project Loon
Project Loon is a network of stratospheric balloons, designed to extend Internet connectivity to people in rural and remote areas worldwide.
Goal: launch and maintain a fleet of balloons to provide Internet coverage to users on the ground.Autolaunchers: capable of safely and consistently launching a new balloon every 30 minutes. Status: over 25 million km of test flights since the project began.Duration: up to 190 days in the stratosphere.
ConnectionHigh speed internet: transmitted up to the nearest balloon from a telecommunications partner on the ground, relayed across the balloon network, and then back down to users on the ground. Status: demonstrated data transmission between balloons over 100 km apart in the stratosphere and back to the ground with connection speeds of up to 10 Mbps, directly to LTE phones.
https://x.company/loon/
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Project LoonNavigatingPower: Solar panels for day with re-chargeable battery for night.Tracking: GPSAltitude: approximately 20 km (60-50 hPa) Altitude Adjustment: capability to move each balloon up or down into different winds enabling the balloons to provide coverage where it’s needed.
RecoveryCoordination: with the local air traffic control to bring balloons to ground in sparsely populated areas. Descent: parachuteCleanup: equipment collected for reuse and recycling.
https://x.company/loon/
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Data AssimilationNASA MERRA-2 Data Assimilation System (DAS)Data Assimilation Combines:
1) a global forecast model with 2) observations
to produce the analysis, a complete representation of the global atmosphere at a given time.
MERRA-2 DAS cycles with a six-hour data window, collecting all the observations (~ 5 million, including satellite based radiances and cloud tracked winds, rawindsondes, aircraft, etc.) within six hours of the analysis time.
Data Window Data Window Data Window Data Window Data WindowForecast Forecast Forecast Forecast Forecast
Analysis Analysis Analysis Analysis Analysis
Time à
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
MethodologyTime Period: June, July, August 2014This test assimilation period was chosen because there were a large number of Southern Hemisphere Loon launches during this time.
We ran two data assimilation system (DAS) experiments, identical, except that one includes the Loon observations and the other does not. Having these two runs, “without Loon” and ”with Loon”, and differencing output, we can assess the changes.
Loon Experiment (with Loon winds)
Full DAS incorporating the Loon observations in the analysis. Loon winds are treated as conventional rawinsondewinds. Winds are interpolated to Loon balloon locations for comparison.
Control (without Loon winds)
Full DAS but does not include the Loon observations in the analysis. Winds are interpolated to Loon balloon locations for comparison.
Using the DAS Interpolation enables a consistent comparison of the Control assimilation winds with the balloon observations.
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Longitude Latitude DistributionNumber of Loon Observations (Jun-Aug 2014) per 1ox1o grid box
> 1000500--1000300--50050--3005.--50
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Latitude Altitude Loon Balloon DistributionNumber of Loon Observations (Jun-Aug 2014) per 1ox 250 m grid box
-90 -80 -70 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90Latitude
18
19
20
21
22
23
24
Pres
sure
Alti
tude
(km
)
70
60
50
40
Pres
sure
(hPa
)
> 20001000--2000500--1000100--50010--100
Loon pressures peak at 65 hPa and 55 hPa
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Tropical Loon Trajectories (14 Days)
Tropical Coverage in June 2014 Light Red: trajectory startDark Red: trajectory end
Tropical observations provided some of the largest DAS adjustments when assimilating the Loon winds.
This Loon trajectory will be examined in more detail later.
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Sample Analysis Wind IncrementsU inc (ms-1) loon 20 Jun 2014 00UTC
52.0 hPa 22 loons
V inc (ms-1) loon 20 Jun 2014 00UTC52.0 hPa 22 loons
a
b
-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 1 2 3 4 5 6 7 8 9 10
Example of the data assimilation wind increments. The assimilation increment fields are the difference between the background forecast and the current analysis. Loon locations are indicated as red +.
The contoured field is the difference between the Loon Experiment and the Control, so that only the effects of the Loon data assimilation are seen in the analysis increment differences.
Data assimilation spreads the point observations in the horizontal and vertical domains.
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Sample Analysis Wind IncrementsU inc (ms-1) loon 20 Jun 2014 00UTC
52.0 hPa 22 loons
V inc (ms-1) loon 20 Jun 2014 00UTC52.0 hPa 22 loons
a
b
-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 1 2 3 4 5 6 7 8 9 10
This shows how far the zone of influence can extend from the assimilation of the Loon wind observation.
U inc (ms-1) loon 20 Jun 2014 00UTC52.0 hPa 22 loons
V inc (ms-1) loon 20 Jun 2014 00UTC52.0 hPa 22 loons
a
b
-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 1 2 3 4 5 6 7 8 9 10
-4 m/s3 m/s
Close-up View
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Sample Analysis Wind Increments (Vertical Structure)
-180 -90 0 90 180Longitude
1000
100
10
Pres
sure
(hPa
)U inc (ms-1) loon 19 Jun 2014 18UTC
5.o Latitude 14 loonsa
-180 -90 0 90 180Longitude
1000
100
10
Pres
sure
(hPa
)
V inc (ms-1) loon 19 Jun 2014 18UTC5.o Latitude 14 loons
b
Example of the data assimilation wind increments. The assimilation increment fields are the difference between the background forecast and the current analysis. Loon locations are indicated as red +.
The contoured field is the difference between the Loon Experiment and the Control, so that only the effects of the Loon data assimilation are seen in the analysis increment differences.
The vertical influence is typically located between 100 and 30 hPa.
Loon Locations
Loon Locations
30 hPa
30 hPa
100 hPa
100 hPa
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration Tropical Launch June 2014
Loon Experiment Analysis Winds: Arrows line up with balloon trajectory. Significant differences in indicated regions
Detail about one balloon launched from Brazil on 6 June 2014
Red Curve: Balloon Trajectory
Blue Loon Trajectory denotes Loon altitude lowered from ~50 to ~60 hPa (10-11 June)
Control Analysis Winds: Wind arrows do not line up with the trajectory, indicating a difference from Loon observations.
Blue Arrows: Analyzed Winds Control
With Loon
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Tropical Launch June 2014 Zonal Wind Comparison
Altitude Changes
Analysis winds interpolated by the DAS in space and time to the Loon position
Loon Obs and Loon Experiment agree well.
Large differences occur between the Control (Red) and Loon Obs (Black).
Loon ExperimentControl
U
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Tropical Launch June 2014Meridional Wind Comparison
Altitude Changes
Analysis winds interpolated by the DAS in space and time to the Loon position
Loon Obs. and Loon Experiment agree well.
Large differences occur between the Control (Red) and Loon Obs. (Black).
V
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration Observation minus Forecast (RMS)Zonal Wind Jun-Aug 2014
U
0
1
2
3
4
5R
MS
(ms-1
)a
O minus FJun-Aug 2014
Blue: wo LoonRed: wi Loon
SHSH4.3e+6
EQEQ5.0e+5
NHNH1.8e+5
U
0
5
10
15
20
RM
S (m
s-1)
b|O-F| > 10 ms-1
SHSH7.9e+3
EQEQ1.1e+4
NHNH9.4e+1
V
0
1
2
3
4
5
RM
S (m
s-1)
c
SHSH4.3e+6
EQEQ5.0e+5
NHNH1.8e+5
V
0
5
10
15
20
RM
S (m
s-1)
d|O-F| > 10 ms-1
SHSH1.0e+4
EQEQ2.9e+3
NHNH1.7e+1
Latitude Bands Latitude BandsNumber of Observations
Con
trol
Loon
Con
trol
Loon
Con
trol
Loon
Con
trol
Loon
Con
trol
Loon
Con
trol
Loon
All Loon Observations Only times when Control and Loon Obsshow large (> 10m/s) differences
Assimilating the Loon winds greatly improves tropical wind forecast
TropicsTropics
1 m
/s
5m
/s
Global Modeling and Assimilation Officegmao.gsfc.nasa.govGMAO
National Aeronautics and Space Administration
Summary and ConclusionsSummary: The Loon balloons were incorporated into a global data assimilation system for three months in order to test their impact. Date range: June-August 2014.Results: Assimilation of the Loon balloon winds had a significant impact in the tropical lower stratosphere, especially in regions were direct wind measurements are lacking.
Future Work: This preliminary study showed the potential for constant pressure balloon data to aid in real-time data assimilation system analyses and forecasts. We plan to assimilate the entire 3+ year Loon data set into the NASA GMAO data assimilation system for further tests.
References:Schoeberl, M. R., E. Jensen, A. Podglajen, L. Coy, C. Lodha, S. Candido, and R. Carver (2017), Gravity wave spectra in the lower stratosphere diagnosed from project loon balloon trajectories, J. Geophys. Res. Atmos., 122, 8517–8524, doi:10.1002/2017JD026471.
Podglajen, A., A. Hertzog, R. Plougonven, and B. Legras (2016), Lagrangian temperature and vertical velocity fluctuations due to gravity waves in the lower stratosphere, Geophys. Res. Lett., 43, 3543–3553, doi:10.1002/2016GL068148.
Friedrich, L. S., McDonald, A. J., Bodeker, G. E., Cooper, K. E., Lewis, J., and Paterson, A. J.: A comparison of Loon balloon observations and stratospheric reanalysis products, Atmos. Chem. Phys., 17, 855-866, https://doi.org/10.5194/acp-17-855-2017, 2017.
We would like to thank X and the Loon Project for providing their data.
Question: Is the current conventional and satellite observation network sufficient to characterize the winds in the lower stratosphere?
Answer: No