Characteristics and generations of internal wave in the Sulu Sea inferred from optical satellite images*

ZHANG Xudong , LI Xiaofeng , , ZHANG Tao ,

1 CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China 2 College of Geomatics, Shandong University of Science and Technology, Qingdao 266071, China

Abstract Characteristics and generation of internal waves (IWs) in the Sulu Sea are studied using Moderate-Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) images taken from October 2016 to September 2019. Satellite observations show that IWs in the Sulu Sea mainly located in the shallower western areas with occasional observations in the deeper eastern regions. The dominant length of wave crest (LWC) of IWs is between 50 and 150 km with the largest LWC reaching over 300 km. The analysis of temporal distributions of IWs shows that March has the most IWs and July has the least. Further analysis shows that the seasonal variation is mainly due to the cloud contamination of optical satellite images. New generation sites of IWs are analyzed using satellite images. Six possible generation sites for IWs in the western Sulu Sea and one generation site for IWs in the eastern Sulu Sea are found using the ray-tracing method. Multi IW sources in the same strait are found, which may be due to the seawater fl ow over the strait in diff erent directions. The analysis shows that IWs with long wave crest in the Sulu Sea is a combined eff ort of all straits between small islands in the Sulu Archipelago. Remote generated IWs with long wave crest in the eastern Sulu Sea are studied, which are generated at the straits around (121.5°E, 6°N) by the nonlinear evolution of internal tide originated from the Sulu Archipelago.

Keyword: internal waves (IWs); Sulu Sea; Moderate-Resolution Imaging Spectroradiometer (MODIS); Suomi National Polar-Orbiting Partnership (NPP)

1 INTRODUCTION

Internal waves (IWs) with large amplitude and long wave crests are observed frequently in the global oceans (Jackson, 2007; Zhao et al., 2014), such as the South China Sea (Liu and Hsu, 2004), East China Sea (Nam et al., 2018), Andaman Sea (Sun et al., 2019), Black Sea (Lavrova et al., 2014), Red Sea (da Silva et al., 2012) and White Sea (Kozlov et al., 2014). The propagation and dissipation of IWs have signifi cant impacts on the distributions of plankton and chlorophyll (Vázquez et al., 2009), ocean mixing (Villamaña et al., 2017), and sediment resuspension (Jia et al., 2019). Large-amplitude IWs can travel several thousand kilometers with a strong shear force and hence play an essential role in aff ecting the ocean environment (Lü et al., 2016).

Fig.1 IWs in the Sulu Sea observed by MODIS image on 4 April 2019 (a) and VIIRS image on 24 March 2019 (b)

Properties of IWs have been studied using satellite images, such as the spatial and temporal distribution (Sun et al., 2019), generation mechanism (Li et al., 2008; Magalhaes and da Silva, 2018) and propagation characteristics (Alford et al., 2010; Li et al., 2013; Bai et al., 2017). Both active synthetic aperture radar (SAR) images and passive optical satellite images have provided valuable information for IW studies. Optical satellite images, such as Moderate-Resolution Imaging Spectroradiometer (MODIS) images, are widely used in IW studies, taking advantage of its wide swath and high temporal resolutions. IWs modulate the sea surface roughness with convergence and divergence regions and manifest as bright-dark or dark-bright stripes in optical satellite images under the clear sky conditions in the sun glint areas (Jackson and Alpers, 2010). The alternative bright-dark bands make the IW easy to be recognized on optical satellite images. Jackson (2007) presented the results of 3 581 IWs detected using MODIS images in the global oceans. Sun et al. (2019) presented the spatialtemporal distributions of IWs in the Andaman Sea using MODIS images from 2010 to 2016. Optical satellite images from other sensors are also used for IW studies. Liu and D’Sa (2019) studied the IWs in the Sulu-Celebes Sea using 37 pairs of Moon glint Visible Infrared Imaging Radiometer Suite (VIIRS) images and found four straits where IW generated in the Sulu Sea. In this study, a comprehensive investigation of spatial and temporal characteristics of IWs in the Sulu Sea is conducted using satellite images spanning for nearly three years.

The Sulu Sea is adjacent to the South China Sea and the Pacifi c Ocean. Satellite observations show that IWs in the Sulu Sea happen all year round with long wave crest. The dominant wave crest extends in the SW-NE direction indicating IW packets propagating from SE to NW toward the Palawan Island. Figure 1 shows MODIS and VIIRS images acquired on 4 April 2019 and 24 March 2019 containing multiple IW packets. The length of wave crests (LWCs) of IWs increases from the south (～100 km) to the north (200-300 km) and decrease (～200 km) when IW meet the northern islands. The distance between two consecutive IW packets ranges from 85 to 95 km. Considering the semi-diurnal generation period (Liu and D’Sa, 2019), the propagation speed of IWs ranges from 1.90 m/s to 2.12 m/s. Some literature related to the IW investigation in the Sulu Sea using fi eld observations (Apel et al., 1985) or satellite images (Liu and D’Sa, 2019) is reported, which shows that IWs in the western Sulu Sea mainly generated at four sources with a lee-wave mechanism. Previous studies of IWs in the Sulu Sea mainly focus on the western regionwhile IWs with long wave crest in the eastern region received less attention.

Table 1 Parameters of satellite images used in this study

In this study, we fi rstly analyzed the spatial and temporal characteristics of IWs in the Sulu Sea using consecutive observations of MODIS and VIIRS images from October 2016 to September 2019. New IW generation sites for IWs in the western Sulu Sea are found using the ray-tracing method. Generations of long IWs occasional observed in the eastern Sulu Sea are discussed. The paper is organized as follows: Section 2 introduces the satellite observation results and the ray-tracing method. Section 3 presents new IW generation sites for IWs in the western Sulu Sea and Section 4 discussed generations of long IWs in the eastern Sulu Sea, and we conclude the study in Section 5.

2 SATELLITE OBSERVATION

2.1 Spatial and temporal distributions of IWs

Optical satellite images from MODIS and VIIRS are used in this study. The MODIS sensors are onboard NASA Terra and Aqua satellites acquiring data in 36 spectral bands with a swath of 2 330 km. In this study, MODIS images with a spatial resolution of 250 m (Bands 1 and 2) are used. The VIIRS sensor is on board satellite Suomi National Polar-Orbiting Partnership (NPP). VIIRS images have a swath of 3 000 km and acquiring data with a spatial resolution of 750 m and 370 m. In this study, VIIRS images with a spatial resolution of 370 m are used. Parameters of the Satellite images used in this study are listed in Table 1. A total of 465 optical satellite images with clear IW signatures were collected from 1 October 2016 to 30 September 2019.

Single IW or the leading wave of IW packets is extracted from collected optical satellite images. The extracted locations of wave crests showing the spatial distribution of IWs in the Sulu Sea are presented in Fig.2. IWs extracted from diff erent images are labeled with diff erent colors. Generally, IWs mainly distributed in the western Sulu Sea, with increasing LWC from south to north. In the deeper region between 6.5°N-8.5°N and 120°E-121°E, few IWs are observed. From Figs.1 & 2, one can also fi nd that while IWs mainly propagate in the NW direction, and the IW eastern-part wave crest propagates faster than that of western-part because the eastern region is much deeper (Zhang et al., 2018). Figure 2 shows that VIIRS images from the NPP serve as an excellent additional data source for the observation of IWs in the Sulu Sea, especially in regions between 6°N-6.5°N, 7°N-7.5°N, and 9°N-10.5°N.

The LWC of IWs larger than 300 km is observed in the Sulu Sea (Fig.1). The histogram of the LWC of IWs is shown in Fig.3a, from which one can fi nd that the LWC mainly distributed between 50 and 120 km. Since the IWs mainly propagate in the meridional direction, the distributions of the LWC along the latitude is calculated and shown in Fig.3b. Figure 3 shows that IWs generated at the southern islands with an average LWC between 50 km and 70 km (5°N-6°N) and propagate to the northwest with an average LWC over 100 km. The LWC of IWs increases from 5°N-9°N with the evolution of IWs and decreases at 10°N when the IWs meet the northern Palawan Islands. Figure 1b shows that the western branch of the wave crest disappeared at the Palawan Islands while the eastern branch keeps propagating northward.

To study IW seasonal variations, the temporal distributions of IWs in the Sulu Sea is analyzed, and the result is shown in Fig.4. The Sulu Sea has a tropical monsoon climate and has two seasons each year. The dry season is from November to April (red shaded regions in Fig.4) and the rainy season is from May to October (green shaded regions in Fig.4). As shown in Fig.4, more IWs are observed in the dry season, with the March has the most IWs and July has the least. Two possible reasons may be account for this result, which is cloud contamination of optical satellite images or ocean stratifi cation variations.

MODIS images from 2017 to 2019 are used to study the diff erence of observed days in March and July. MODIS images in March and July are divided into two groups, cloud-covered images, and cloudfree (little cloud or no cloud) images. Among cloudfree images, images with clear IW signatures are counted. The observation rate is calculated by images with clear IWs signatures divided by cloud-free images. The results are shown in Table 2. These results demonstrate that the large diff erence in counted days with IWs observed on satellite images is largely due to the cloud contamination of satellite images, fewer images could be used for IW observation in July.

Fig.2 Spatial distributions of IWs in the Sulu Sea using MODIS (Aqua and Terra) and VIIRS (NPP) images taken from October 2016 to September 2019

2.2 The ray-tracing method

The ray-tracing method (da Silva et al., 2015; Sun et al., 2019) is adopted to fi nd possible generation sites of IWs in the Sulu Sea. The generation sites are determined based on the form of IW wave crests. After generated, the IWs are assumed to propagate with a circular wave crest. The cross points of two perpendicular lines across the wave crest are assumed to be the generation site of IWs. A sketch map of the ray-tracing method is shown in Fig.5. As shown in Figs.1b & 2, the west branch of IW crest is locked by the shallower topography. Therefore, the generation sites are traced back mainly using near-fi eld IW crests while the far-fi eld IW crests will merge and aff ect by the topography.

3 IW GENERATIONS IN THE WESTERN SULU SEA

Fig.3 Histogram of the length of wave crests of IWs (a) and the distributions of the length of wave crest along the latitude (b)

Table 2 Statistics of IWs observed using Aqua and Terra MODIS in March and July from 2017 to 2019

IWs propagate northward with arc-shape wave crests as shown in Figs.1 & 2. IWs generated at regions along the Sulu Archipelago (5°N-6°N) are observed using MODIS images acquired on 28 April 2017 (Fig.6a) and 20 April 2019 (Fig.6b). Many small islands located along this region. Large and long IWs are observed in northern regions (north of 7°N) with the evolution of generated IWs (Fig.2). The generation sites are traced based on the observed IWs from satellite images. Four generation sites are found and labeled from S1 to S4, as shown in Fig.6. These generation sites are located in diff erent straits between small islands. IWs generated at Sites S3 and S4 propagating northward and merge into one IW, as shown in Fig.6b.

Two generation sites (S5 and S6) are found in the same strait with Site S4 using the VIIRS image acquired on 20 February 2019 (Fig.7a). Generated IWs propagating in opposite directions with arc-shape wave crest. To have a general view of possible generation sites found by the ray-tracing method, a composite map showing six possible generation sites is presented in Fig.7b. The exact locations of the six generation sites are shown in Table 3. The results show that although in the same strait, IWs are found generated at diff erent sites (S4, S5, and S6).

Fig.4 Temporal distributions of IWs in the Sulu Sea using MODIS (Aqua and Terra) and VIIRS (NPP) images from October 2016 to September 2019

Fig.5 Sketch map of the ray-tracing method to fi nd possible IW generation sites

Fig.6 MODIS images acquired on 28 April 2017 (a) and 20 April 2019 (b), which show clear IW signatures

Fig.7 VIIRS image acquired on 20 February 2019 showing clear IW signatures (a); a composite image of possible generation sites of IWs in Figs.4 & 5 (b)

Table 3 Locations of possible sources of IWs in the Sulu Sea

An IW wave crest labeled with a white line in Fig.7b shows IWs generated from diff erent sources. When propagating north, these IWs merge into a single IW. Along the wave crest, the wave crest may be divided into three parts. The WC1 part is generated at regions adjacent to Site S3, WC2 part is generated at regions adjacent to Sites S4-S6, and the WC3 part is generated at regions north of Site S2 (Generation Site 4 in (Liu and D’Sa, 2019)). In the regions north of these small islands along 5°N-6°N, single IW or IW packets propagating northward is observed with long wave crest. These results imply that the longwave-crest IWs propagating north in the Sulu Sea are generated at straits between small islands along the Sulu Archipelago. Not specifi c point generation sites account for the IWs with long crests, but the combined eff orts of whole straits between small islands. Multisites generated IWs merge into single IW with long wave crest when propagating northward.

Fig.8 Possible IW generation sites superimposed with extracted IW crests (a); the underwater topography of the Sulu archipelago (b)

As shown in Fig.8a, possible generation sites inferred from satellite observations are superimposed with the IW crests from satellite observations for nearly three years. Figure 8a shows more IW crests observations to validate the inferred IW sources in cases shown in Figs.6 & 7. The underwater topography is shown in Fig.8b showing that IW sources are located at the narrow straits between small islands or with an underwater ridge.

The analysis shows that multiple generation sites may exist in the same strait. The sea waters fl ow over the strait in diff erent directions will generate IWs propagating in diff erent directions. With more satellite images acquired in diff erent sensors and time analyzed, more specifi c IW generation sites can be found. As shown in Fig.7b, IWs generated at diff erent exact locations will merge into a single long IW when propagating northward. So straits between small islands along the Sulu Archilepago all serve as possible generation sites of IW.

4 LONG IWS IN THE EASTERN SULU SEA

While attentions mainly focus on IWs in the western Sulu Sea generated by lee wave mechanism (Apel et al., 1985), IWs in the eastern Sulu Sea (red box of Fig.8a) with long-wave crest have received less attention. Long IWs in the eastern Sulu Sea are mainly observed in regions between 8°N and 11°N and no IWs are observed in lower latitude. IWs can be generated by the tide-topography interactions or by the evolution of internal tide from remote sources. For locally generated IWs, the wave crests usually parallel to the isobaths. As shown in Fig.8a, these long IWs cross isobaths in the eastern Sulu Sea which imply that these IWs are not locally generated.

To fi nd the possible source for these long IWs in the eastern Sulu Sea, the tidal transport in the meridional direction is extracted from the TOPEX/POSEIDON global tidal model (TPXO) and the depth-integrated barotropic tidal forcing are computed. The equation of tidal forcing is expressed as (Li et al., 2008)

where Q is the barotropic tidal transport, H is the water depth, ∇ H is the bottom slope, w is the tidal frequency, and N2is the buoyancy frequency. The computed tidal forcing of M2 tide is shown in Fig.9b. Possible generation sites have larger meridional transport and tidal forcing than other regions as shown in Fig.9. According to the geometry of wave crests in Fig.8 and the tidal transport and tidal forcing distributions shown in Fig.9, it is convincible to postulate that strait around (121.5°E, 6°N) is the source of long IWs in the eastern Sulu Sea. These IWs are similar to IWs observed in the northwestern South China Sea as reported by Li et al. (2008).

Fig.9 The transport of M2 tide in the meridional direction (a); the tidal forcing of M2 tide in the Sulu Archipelago (b)

Several mechanisms may account for the remote generation of IWs, such as tidal beam generation. The internal tide beam refl ects in the ocean and aff ects the pycnocline that may lead to the local generation of IWs. Gerkema (2001) defi ned a parameter gamma to evaluate the interaction of tidal beam and pycnocline. The parameter is defi ned as:

where H is the water depth, h is the thickness of the upper mixed layer, and Ncis the constant buoyancy frequency of lower layer. Considering H=4 000 m, h=100 m, Nc=0.005/s, g′=0.03 m/s2, the parameter is calculated as γ=0.08. For areas that internal waves generated by tidal beam generation mechanism, gamma parameters are found falls in an optimum range 0.1 ≤ γ ≤ 0.2 (Jackson et al., 2012). Therefore, long IWs in the eastern region of the Sulu Sea are not generated locally due to the tide beams.

Based on the form of IW crests in the eastern Sulu Sea, the underwater topography profi le along the dashed arrow in Fig.8a is shown in Fig.10. As we can fi nd long IWs are found north of 8°N only where the water depth begins to decrease. When the water depth starts to decrease, the nonlinear eff ect enhanced and leads to the nonlinear IW generation. The distribution of long IWs matches the position of underwater topography when the nonlinear eff ect begins to increase. Therefore, we postulate that IWs in the eastern region of the Sulu Sea may be generated by the nonlinear evolution of internal tides originated from the Sulu Archipelago.

Fig.10 The underwater topography profi le along black dashed arrow in Fig.8a

5 CONCLUSION

IWs with long wave crest are frequently observed propagating from SE to NW toward the Palawan Island and almost cover the entire sea area. Three years MODIS images from Terra and Aqua, and VIIRS images from NPP are used to study IWs in the Sulu Sea. The spatial distributions of IWs are analyzed, and results show that IWs mainly located in the shallow western regions with less observed in the deeper eastern regions. IWs in the Sulu Sea have a dominant LWC between 50 km and 150 km with the largest LWC over 300 km. The meridional distribution of LWC shows that 9°N has the largest average LWC. Because when IWs meet Palawan Island, the western branch will disappear while the eastern keep propagating northward. This study also shows that VIIRS images serve as a good additional data source for IW study in the Sulu Sea because it serves as a good supplementary description for IWs in some regions. The temporal analysis shows that in March have most IWs while in July have the least. Further study shows that this is mainly due to the cloud contamination of the optical satellite images.

IW generation sites in the Sulu Sea are studied using satellite images. Six possible generation sites for IWs in the western Sulu Sea are found using the ray-tracing method. The analysis shows that all straits along the Sulu Archipelago may serve as possible generation sites. More generation sites may be found in the straits using satellite images acquired at diff erent times. Not specifi c point generation sites account for the long-wave-crest IWs in the northern Sulu Sea, but the whole straits between small islands along 5°N-6°N. IWs generated from diff erent straits will merge into one single IW in the northern regions and fi nally disappear in the northern Palawan Islands. IWs in the eastern Sulu Sea with long wave crest are studied. The remote generated IWs may be generated at the straits around (121.5°E, 6°N) by the internal tide evolution mechanism, and further study is expected.

6 DATA AVAILABILITY STATEMENT

Satellite images used in this study could be downloaded freely from NASA Worldview application (https://worldview.earthdata.nasa.gov). The TPXO data could be downloaded freely from OSU TPXO tides Home (https://www.tpxo.net/home).

7 ACKNOWLEDGMENT

We acknowledge the use of imagery from the NASA Worldview application (https://worldview.earthdata.nasa.gov), part of the NASA Earth Observing System Data and Information System (EOSDIS).

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