Aquarius 염분 관측 위성에 의한 동해에서의 표층 염분 보정
Correction of Aquarius Sea Surface Salinity in the East Sea
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초록
Sea Surface Salinity (SSS) observations from the Aquarius satellite in the East Sea show large systematic biases mainly caused by the surrounding lands and Radio Frequency Interferences (RFI) along the descending orbits on which the satellite travels from the Asian continent to the East Sea. To develop a technique for correcting the systematic biases unique to the East Sea, the least square regression between in situ observations of salinity and the reanalyzed salinities by HYCOM is first performed. Then monthly mean reanalyzed salinities fitted to the in situ salinities are compared with monthly mean Aquarius salinities to calculate mean biases in 1o × 1o boxes. Mean biases in winter (December−March) are found to be considerably larger than those in other seasons possibly caused by the inadequate correction of surface roughness in the sea surrounded by the land, and thus the mean bias corrections are performed using two bias tables. Large negative biases are found in the area near the coast of Japan and in the areas with islands. In the northern East Sea, data sets using the ascending orbit only (SCIA) are chosen for correction because of large RFI errors on the descending orbit (SCID). Resulting mean biases between the reanalysis salinities fitted to in situ observations and the bias corrected Aquarius salinities are less than 0.2 psu in all areas. The corrected mean salinity distributions in March and September demonstrate marked improvements when compared with mean salinities from the World Ocean Atlas (WOA [2005−2012]). In September, salinity distributions based on the corrected Aquarius and on the WOA (2005−2012) show similar distributions of Changjiang Diluted Water (CDW) in the East Sea.
Abstract
Sea Surface Salinity (SSS) observations from the Aquarius satellite in the East Sea show large systematic biases mainly caused by the surrounding lands and Radio Frequency Interferences (RFI) along the descending orbits on which the satellite travels from the Asian continent to the East Sea. To develop a technique for correcting the systematic biases unique to the East Sea, the least square regression between in situ observations of salinity and the reanalyzed salinities by HYCOM is first performed. Then monthly mean reanalyzed salinities fitted to the in situ salinities are compared with monthly mean Aquarius salinities to calculate mean biases in 1o × 1o boxes. Mean biases in winter (December−March) are found to be considerably larger than those in other seasons possibly caused by the inadequate correction of surface roughness in the sea surrounded by the land, and thus the mean bias corrections are performed using two bias tables. Large negative biases are found in the area near the coast of Japan and in the areas with islands. In the northern East Sea, data sets using the ascending orbit only (SCIA) are chosen for correction because of large RFI errors on the descending orbit (SCID). Resulting mean biases between the reanalysis salinities fitted to in situ observations and the bias corrected Aquarius salinities are less than 0.2 psu in all areas. The corrected mean salinity distributions in March and September demonstrate marked improvements when compared with mean salinities from the World Ocean Atlas (WOA [2005−2012]). In September, salinity distributions based on the corrected Aquarius and on the WOA (2005−2012) show similar distributions of Changjiang Diluted Water (CDW) in the East Sea.
참고문헌 (15)
- Frederick M. Bingham, "The North Atlantic subtropical surface salinity maximum as observed by Aquarius", Journal of Geophysical Research: Oceans, 119(11), pp.7741~7755 (2014), Wiley-Blackwell[DOI]
- Droghei R, "Combining in situ and satellite observations to retrieve salinity and density at the ocean surface", J Atmos Ocean Tech, 33, pp.1211~1223 (2016)
- 정희동, "동해 남서부 해역 표층염분의 시계열 변동", 바다, 18(4), pp.163~177 (2013), 한국해양학회
- Kim SB, "Sea surface salinity variability in the East China Sea observed by the aquarius instrument", J Geophys Res-Oceans, 119(10), pp.7016~7028 (2014)
- Aquarius salinity validation analysis; data version 4.0, "Lagerloef G", NASA, 30~, pp.Aquarius Tech Rep AQ-014-PS-0016 (2015)
- Lee DK, "Horizontal distribution of salinity in summer inferred from total suspended sediment in the East China Sea", Acta Ocean Sinica, 34(12), pp.44~50 (2015)
- Lee DK, "The energetics surface circulation patterns of the Japan", East Sea, 2005, pp.52, 1547~1563
- Lee DK, "Oceanography of the East Sea (Japan Sea)", pp.87~126 (2015), Springer
- Le Vine DM, "Salinity measurement during the Gulf Stream Experiment", Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International (2000)
- Le Vine DM, "Aquarius : an instrument to monitor sea surface salinity from Space", IEEE T Geosci Remote, 45(7), pp.2040~2050 (2007)
- Mannshardt E, "Comparison of distributional statistics of aquarius and argo sea surface salinity measurements", J Atmos Ocean Tech, 33(1), pp.103~118 (2016)
- Oleg Melnichenko, "Optimum interpolation analysis of Aquarius sea surface salinity", Journal of Geophysical Research: Oceans, 121(1), pp.602~616 (2016), Wiley-Blackwell[DOI]
- Addendum IV to ATBD, "Meissner T", NASA, 16~, pp.Aquarius Tech Rep AQ-014-PS-0017 (2015)
- Park K, "Role of sea ice on satellite-observed chlorophyll a concentration variations during spring bloom in the East", Japan sea, 2014, pp.83, 34~44
- Lisan Yu, "Coherent evidence from Aquarius and Argo for the existence of a shallow low-salinity convergence zone beneath the Pacific ITCZ", Journal of Geophysical Research: Oceans, 119(11), pp.7625~7644 (2014), Wiley-Blackwell[DOI]