bumjun kil - satellite conferencessatelliteconferences.noaa.gov/2015/doc/nsc2015posters/3-3... ·...

1
Analysis of sea surface sound speed near the Changjiang River mouth using passive microwave remote sensing Bumjun Kil Department of Marine Science, The University of Southern Mississippi, Stennis Space Center, MS 39529, U.S.A. ([email protected] ) 6. REFERENCE 4. Conclusion Satellite based ∆SSP shows potential acoustic sound channel distributed around outflowing CR plume (white colored line) with large difference in salinity between surface and 10 meter depth rather than model based ∆SSP . 5. Acknowledgement Abstract Surface sound speed (SSSP) of the seawater was studied for the low salinity region in the Easy China Sea during the summer monsoon season. Sea surface temperature (SST) from NASA’s AMSR-2 and sea surface salinity (SSS) from ESA Soil Moisture and Ocean Salinity (SMOS) mission were implemented. In this research, using sound speed formula, the advent of Acoustic Channel due to the unpredictable expansion of Changjiang River born freshwater was speculated by comparing SSSP with subsurface sound speed from numerically predicted salinity and temperature. Because the Acoustic Channel is created below the surface when the SSSP is lower (i.e. extremely low salinity or low temperature) than subsurface, its horizontal distribution may provide good understanding the acoustical impact of expanding freshwater into the open ocean. 0 50 100 150 200 250 300 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Mean (mm) 2014 Background Prediction model (HYCOM) Satellite data (AMSR-2+SMOS) SSSP from different sources ( August, 2014) SST SSS SSSP SST SSS SSSP ∆SSP (SSSP-SSP HYCOM(10m) ) from different SSSP ∆SSP Model SSP for St.1,2,3 ∆SSP Satellite Longitude (ºE) Longitude (ºE) Underwater acoustic channel in the west coast of Jeju Island in the summer season Latitude (ºN) Latitude (ºN) Longitude (ºE) Latitude (ºN) Longitude (ºE) Latitude (ºN) Longitude (ºE) Latitude (ºN) Longitude (ºE) Latitude (ºN) Longitude (ºE) Latitude (ºN) Longitude (ºE) Latitude (ºN) Longitude (ºE) Latitude (ºN) (°C) (psu) (m/sec) (°C) (psu) (m/sec) (m/sec) (m/sec) St.1 St.2 St.3 1520 1522 1524 1526 1528 1530 1532 1534 1536 1538 26 27 28 29 30 31 32 33 34 Sound speed [m/sec] Salinity [psu] 24°C 25°C 26°C 27°C St.1 St.2 St.3 St.1 St.2 St.3 Data and method a. Data b. Flagging level-2 SMOS SSS considering radio frequency interference (RFI)/land contamination : see Appendix C in Kil (2015) c. Sound speed (SSP) by Medwin, (1975) : SSP (m/sec) = 1449.2 + 4.6T 0.55T 2 +0.00029T 3 +(1.34-0.01T)(S-35)+0.016Z T : Temperature (°C), S : Salinity (psu), Z : Depth (m) d. SSP : SSP 0m SSP 10m SSP 0m : Surface sound speed (SSSP) , SSP 10m : SSP at depth 10m estimated by HYCOM (SSP HYCOM(10m) ) Potential acoustic channel in the ECS : ∆SSP < -0.2 m/sec (Kim et al., 2013) Data sources Parameter Dates of averaging Prediction model HYCOM Salinity, temperature August 3-9, 2014 Satellite AMSR2 SST (7 day averaged) August 3-9, 2014 SMOS SSS (Level-2 swaths) August 3-13, 2014 Expanding Low salinity water near the mouth of CR ( < 30 psu) was found creating lower SSSP than modeled one Outflowing Changjiang River (CR) plume with a thickness of 10-15m depth has potential to result underwater acoustic channel near the west coast of Jeju Island the during the summer season (Kim et al., 2013). This research estimated the sound speed (SSP) in the East China Sea (ECS) using passive microwave remote sensing and mapped the spatial distribution of the acoustic channel in August, 2014. Acoustic sound channel in the ECS which is rarely appeared in the numerical model was successfully presented as moving toward Jeju Island by using passive microwave remote sensing satellite AMSR-2 and SMOS. Replacing predicted SSS and SST by satellite born SSS and SST resulted lower surface sound speed then 10m depth of the modeled sound speed on the low salinity dominated CR mouth. SMOS’s capability to measure the low salinity water contributed estimating better realistic surface sound speed than modeled one. Schematic plot of acoustic propagation in the surface sound channel (Image credit : Kim et al., 2013) Salinity Sound speed Temperature (KODC ship board measurement, August, 2014) TRMM 3B43 Accumulated Rain in the Changjiang estuary (117-122°E, 29-34°N ) SMOS Level 2 Ocean Salinity data was provided by European Space Agency downloaded by the Earth Observation Link (http://earth.esa.int/EOLi /EOLi. html). . The in situ data was supplied by Republic of Korea National Fisheries Research and Development Institute by Korea Oceanographic Data Center at http://kodc.nfrdi.re.kr. AMSR data are produced by Remote Sensing Systems and sponsored by the NASA Earth Science MEaSUREs DISCOVER Project and the NASA AMSR-E Science Team. Data are available at www.remss.com. Data assimilative products using HYCOM are funded by the U.S. Navy. Computer time was made available by the DoD High Performance Computing Modernization Program. The output is publicly available at http://hycom.org. The precipitation data used in this study were obtained as part of the mission of NASA's Earth Science Division and archived and distributed by the Goddard Earth Sciences (GES) Data and Information Services Center (DISC) at http://daac.gsfc.nasa.gov/. Kil, B. (2015) Improved monitoring of the Changjiang River plume in the East China Sea during the Monsoon season using satellite born L-band radiometers.(Doctoral dissertation), University of Southern Mississippi. Kim, J., Bok, T-H., Paeng, D-G., Pang, I-C., & Lee, C. (2013). Acoustic Channel Formation and Sound Speed Variation by Low-salinity Water in the Western Sea of Jeju during Summer, The Journal of the Acoustical Society of Korea, 32(1). Lie, H. J., Cho, C. H., Lee, J. H., & Lee, S. (2003). Structure and eastward extension of the Changjiang River plume in the East China Sea, Journal of Geophysical Research, 108(C3), 3077. Medwin, H. (1975). Speed of sound in water: A simple equation for realistic parameters. The Journal of the Acoustical Society of America, 58(6), 1318- 1319.. SMOS TEAM. (2008). SMOS L2 OS Algorithm Theoretical Baseline Document. Technical report (SO-TN-ARG-GS-0007), ICM-CSIC, LOCEAN/LATMOS, IFREMER. Retrieved from https://earth.esa.int/web/guest/-/smos-l2-os-algorithm-theoretical-baseline-document. Jeju Island South Korea China Changjiang River East China Sea Yellow Sea Poster # 3-3 Greenbelt, Maryland, April 27 - May 1, 2015

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Page 1: Bumjun Kil - Satellite Conferencessatelliteconferences.noaa.gov/2015/doc/NSC2015Posters/3-3... · 2015-04-28 · Prediction model HYCOM Salinity, temperature August 3-9, 2014 Satellite

Analysis of sea surface sound speed near the Changjiang River mouth

using passive microwave remote sensing

Bumjun Kil

Department of Marine Science, The University of Southern Mississippi, Stennis Space Center, MS 39529, U.S.A.

([email protected])

6. REFERENCE 4. Conclusion

Satellite based ∆SSP shows potential acoustic sound channel distributed around outflowing CR plume (white colored

line) with large difference in salinity between surface and 10 meter depth rather than model based ∆SSP.

5. Acknowledgement

Abstract Surface sound speed (SSSP) of the seawater was studied for the low salinity region in the Easy China Sea during the summer monsoon season. Sea surface temperature (SST) from NASA’s AMSR-2 and sea surface salinity (SSS) from ESA Soil Moisture and Ocean Salinity (SMOS)

mission were implemented. In this research, using sound speed formula, the advent of Acoustic Channel due to the unpredictable expansion of Changjiang River born freshwater was speculated by comparing SSSP with subsurface sound speed from numerically predicted salinity and

temperature. Because the Acoustic Channel is created below the surface when the SSSP is lower (i.e. extremely low salinity or low temperature) than subsurface, its horizontal distribution may provide good understanding the acoustical impact of expanding freshwater into the open

ocean.

0

50

100

150

200

250

300

Jan Feb Mar Apr May Jun Jul Aug Sep Oct

Mean

(m

m)

2014

Background

Prediction model

(HYCOM)

Satellite data

(AMSR-2+SMOS)

SSSP from different sources ( August, 2014) SST SSS SSSP

SST SSS SSSP

∆SSP (SSSP-SSPHYCOM(10m) ) from different SSSP

∆SSP Model SSP for St.1,2,3 ∆SSP Satellite

Longitude (ºE)

Longitude (ºE)

Underwater acoustic channel in the west coast of Jeju Island in the summer season

Lat

itude

(ºN

)

Lat

itude

(ºN

)

Longitude (ºE)

Lat

itude

(ºN

)

Longitude (ºE)

Lat

itude

(ºN

)

Longitude (ºE)

Lat

itude

(ºN

)

Longitude (ºE)

Lat

itude

(ºN

)

Longitude (ºE)

Lat

itude

(ºN

)

Longitude (ºE)

Lat

itud

e (º

N)

Longitude (ºE)

Lat

itude

(ºN

)

(°C) (psu) (m/sec)

(°C) (psu) (m/sec)

(m/sec) (m/sec)

St.1 St.2

St.3

1520

1522

1524

1526

1528

1530

1532

1534

1536

1538

26 27 28 29 30 31 32 33 34

Sou

nd

sp

eed

[m

/sec

]

Salinity [psu]

24°C

25°C

26°C

27°C St.1

St.2

St.3 St.1 St.2

St.3

Data and method

a. Data

b. Flagging level-2 SMOS SSS considering radio frequency interference (RFI)/land contamination

: see Appendix C in Kil (2015)

c. Sound speed (SSP) by Medwin, (1975) :

SSP (m/sec) = 1449.2 + 4.6T – 0.55T2+0.00029T3+(1.34-0.01T)(S-35)+0.016Z

T : Temperature (°C), S : Salinity (psu), Z : Depth (m)

d. ∆SSP : SSP0m – SSP10m

SSP0m : Surface sound speed (SSSP) , SSP10m : SSP at depth 10m estimated by HYCOM (SSPHYCOM(10m))

Potential acoustic channel in the ECS : ∆SSP < -0.2 m/sec (Kim et al., 2013)

Data sources Parameter Dates of averaging

Prediction model HYCOM Salinity, temperature August 3-9, 2014

Satellite

AMSR2 SST (7 day averaged) August 3-9, 2014

SMOS SSS (Level-2 swaths) August 3-13, 2014

Expanding Low salinity water near the mouth of CR ( < 30 psu) was found creating lower SSSP

than modeled one

Outflowing Changjiang River (CR) plume with a thickness of 10-15m depth has potential to result underwater acoustic channel near the west coast of

Jeju Island the during the summer season (Kim et al., 2013). This research estimated the sound speed (SSP) in the East China Sea (ECS) using passive

microwave remote sensing and mapped the spatial distribution of the acoustic channel in August, 2014.

Acoustic sound channel in the ECS which is rarely appeared in the numerical model was successfully presented as moving toward Jeju

Island by using passive microwave remote sensing satellite AMSR-2 and SMOS. Replacing predicted SSS and SST by satellite born SSS

and SST resulted lower surface sound speed then 10m depth of the modeled sound speed on the low salinity dominated CR mouth.

SMOS’s capability to measure the low salinity water contributed estimating better realistic surface sound speed than modeled one.

Schematic plot of acoustic propagation

in the surface sound channel

(Image credit : Kim et al., 2013)

Salinity Sound speed Temperature

(KODC ship board measurement, August, 2014)

TRMM 3B43 Accumulated Rain in the Changjiang

estuary (117-122°E, 29-34°N )

SMOS Level 2 Ocean Salinity data was provided by European Space Agency downloaded by the Earth Observation Link (http://earth.esa.int/EOLi /EOLi.

html). . The in situ data was supplied by Republic of Korea National Fisheries Research and Development Institute by Korea Oceanographic Data Center at

http://kodc.nfrdi.re.kr. AMSR data are produced by Remote Sensing Systems and sponsored by the NASA Earth Science MEaSUREs DISCOVER Project

and the NASA AMSR-E Science Team. Data are available at www.remss.com. Data assimilative products using HYCOM are funded by the U.S. Navy.

Computer time was made available by the DoD High Performance Computing Modernization Program. The output is publicly available at http://hycom.org.

The precipitation data used in this study were obtained as part of the mission of NASA's Earth Science Division and archived and distributed by the

Goddard Earth Sciences (GES) Data and Information Services Center (DISC) at http://daac.gsfc.nasa.gov/.

Kil, B. (2015) Improved monitoring of the Changjiang River plume in the East China Sea during the Monsoon season using satellite born L-band

radiometers.(Doctoral dissertation), University of Southern Mississippi.

Kim, J., Bok, T-H., Paeng, D-G., Pang, I-C., & Lee, C. (2013). Acoustic Channel Formation and Sound Speed Variation by Low-salinity Water in the

Western Sea of Jeju during Summer, The Journal of the Acoustical Society of Korea, 32(1).

Lie, H. J., Cho, C. H., Lee, J. H., & Lee, S. (2003). Structure and eastward extension of the Changjiang River plume in the East China Sea, Journal of

Geophysical Research, 108(C3), 3077.

Medwin, H. (1975). Speed of sound in water: A simple equation for realistic parameters. The Journal of the Acoustical Society of America, 58(6), 1318-

1319..

SMOS TEAM. (2008). SMOS L2 OS Algorithm Theoretical Baseline Document. Technical report (SO-TN-ARG-GS-0007), ICM-CSIC,

LOCEAN/LATMOS, IFREMER. Retrieved from https://earth.esa.int/web/guest/-/smos-l2-os-algorithm-theoretical-baseline-document.

Jeju Island

South Korea

China

Changjiang

River East China Sea

Yellow Sea

Poster # 3-3

Greenbelt, Maryland, April 27 - May 1, 2015