Jing Li, Lin Mu, Linhao Zhong. Frequent central Pacific La Niña events may accelerate Arctic warming since the 1980s[J]. Acta Oceanologica Sinica, 2021, 40(11): 62-69. doi: 10.1007/s13131-021/1843-x
Citation: Peitao Wang, Zhiyuan Ren, Lining Sun, Jingming Hou, Zongchen Wang, Ye Yuan, Fujiang Yu. Observations and modelling of the travel time delay and leading negative phase of the 16 September 2015 Illapel, Chile tsunami[J]. Acta Oceanologica Sinica, 2021, 40(11): 11-30. doi: 10.1007/s13131-021-1830-2

Observations and modelling of the travel time delay and leading negative phase of the 16 September 2015 Illapel, Chile tsunami

doi: 10.1007/s13131-021-1830-2
Funds:  The National Key Research and Development Program of China under contract Nos 2018YFC1407000 and 2016YFC1401500; the National Natural Science Foundation of China under contract Nos 41806045 and 51579090.
More Information
  • Corresponding author: E-mail: wpt@nmefc.cn
  • Received Date: 2020-11-21
  • Accepted Date: 2021-02-23
  • Available Online: 2021-08-27
  • Publish Date: 2021-11-30
  • The systematic discrepancies in both tsunami arrival time and leading negative phase (LNP) were identified for the recent transoceanic tsunami on 16 September 2015 in Illapel, Chile by examining the wave characteristics from the tsunami records at 21 Deep-ocean Assessment and Reporting of Tsunami (DART) sites and 29 coastal tide gauge stations. The results revealed systematic travel time delay of as much as 22 min (approximately 1.7% of the total travel time) relative to the simulated long waves from the 2015 Chilean tsunami. The delay discrepancy was found to increase with travel time. It was difficult to identify the LNP from the near-shore observation system due to the strong background noise, but the initial negative phase feature became more obvious as the tsunami propagated away from the source area in the deep ocean. We determined that the LNP for the Chilean tsunami had an average duration of 33 min, which was close to the dominant period of the tsunami source. Most of the amplitude ratios to the first elevation phase were approximately 40%, with the largest equivalent to the first positive phase amplitude. We performed numerical analyses by applying the corrected long wave model, which accounted for the effects of seawater density stratification due to compressibility, self-attraction and loading (SAL) of the earth, and wave dispersion compared with observed tsunami waveforms. We attempted to accurately calculate the arrival time and LNP, and to understand how much of a role the physical mechanism played in the discrepancies for the moderate transoceanic tsunami event. The mainly focus of the study is to quantitatively evaluate the contribution of each secondary physical effect to the systematic discrepancies using the corrected shallow water model. Taking all of these effects into consideration, our results demonstrated good agreement between the observed and simulated waveforms. We can conclude that the corrected shallow water model can reduce the tsunami propagation speed and reproduce the LNP, which is observed for tsunamis that have propagated over long distances frequently. The travel time delay between the observed and corrected simulated waveforms is reduced to <8 min and the amplitude discrepancy between them was also markedly diminished. The incorporated effects amounted to approximately 78% of the travel time delay correction, with seawater density stratification, SAL, and Boussinesq dispersion contributing approximately 39%, 21%, and 18%, respectively. The simulated results showed that the elastic loading and Boussinesq dispersion not only affected travel time but also changed the simulated waveforms for this event. In contrast, the seawater stratification only reduced the tsunami speed, whereas the earth’s elasticity loading was responsible for LNP due to the depression of the seafloor surrounding additional tsunami loading at far-field stations. This study revealed that the traditional shallow water model has inherent defects in estimating tsunami arrival, and the leading negative phase of a tsunami is a typical recognizable feature of a moderately strong transoceanic tsunami. These results also support previous theory and can help to explain the observed discrepancies.
  • Generally, tsunami travel time is defined as the time required for the first tsunami wave to propagate from its source to a given point.
  • Under greenhouse gases forcing, the surface air temperature (SAT) displays a characteristic pattern of Arctic amplified warming, which could alter significant climate and weather variations in the mid- and high-latitude (Holland and Bitz, 2003; Overland and Wang, 2010; Screen and Simmonds, 2010; Serreze and Barry, 2011; Francis and Vavrus, 2012; Overland et al., 2016; Cohen et al., 2014; Coumou et al., 2018; Stuecker et al., 2018). Therefore, the Arctic has received increasing attention under global warming (Overland et al., 2011; Cohen, 2016; Wu, 2017; Stuecker et al., 2018). However, the mechanisms of Arctic amplification are still debated (Huber, 2008; Spicer et al., 2008). Some studies emphasized that the poleward moisture and heat transport fluxes from outside the Arctic (Cai, 2005, 2006; Graversen, 2006; Lu and Cai, 2010; Lee et al., 2011; Krishnamurti et al., 2015; Ding et al., 2014). And more studies highlighted the importance of the local positive feedback inside the Arctic, such as the ice-albedo feedback (Budyko, 1969; Sellers, 1969; Hall, 2004; Ogi and Wallace, 2012; Stroeve et al., 2012), water vapor-cloud cover feedbacks (Francis and Hunter, 2006; Abbot and Tziperman, 2008; Kay et al., 2008; Screen and Simmonds, 2010; Ghatak and Miller, 2013) and the local lapse rate feedback (Pithan and Mauritsen, 2014; Stuecker et al., 2018).

    Considering these positive feedbacks, the Arctic warming or cooling can be triggered by the circulation disturbance, which can be originated from the tropical forcing through atmospheric teleconnections, particular the forcing from the El Niño and Southern Oscillation (ENSO) (Neelin et al., 1998; Lee, 2012; Hu et al., 2016; Timmermann et al., 2018). As a dominant source of global interannual climate variability, ENSO can induce interannual fluctuations in Arctic climate (Bjerknes, 1969; Wyrtki, 1975; Schopf and Suarez, 1988; Jin, 1997). ENSO-associated tropical sea surface temperature anomalies (SSTAs) and latent heat fluxes can excite poleward-propagating atmospheric Rossby waves, then regulate the Arctic climate (Hoskins and Karoly, 1981; Sardeshmukh and Hoskins, 1988; Lee and Yoo, 2014). Previous studies have reported that the El Niño usually coincides with anomalous cooling over the East Siberian Sea, while La Niña often coincides with anomalous warming of the Kara Sea during boreal winter (Lee, 2012).

    However, considering the changes in ENSO diversity, these linkages between ENSO and Arctic climate are not stable. In particular, the so-called central Pacific (CP) El Niño events have prevailed since the 1980s, which stimulates a lot of research to be devoted to the changes and impacts of the ENSO diversity (Larkin and Harrison, 2005; Ashok et al., 2007; Zhang et al., 2015, 2019). At present, few studies focus on the relationship between ENSO and Arctic climate from the perspective of ENSO diversity. Recently, two studies have investigated the different impacts of the CP and eastern Pacific (EP) events on the Arctic climate during boreal summer and boreal winter. Hu et al. (2016) indicated that compared to the EP El Niño, the CP El Niño events have an opposite effect on the Arctic, which can inhibit the Arctic warming and sea-ice melting in summer. Li et al. (2019) investigated the different responses of Arctic surface air temperature to EP and CP ENSO types during boreal winter, and they found the EP ENSO events are accompanied by SAT responses over the Barents-Kara seas in February, while the CP events coincide with significant responses over the northeastern Canada and Greenland. And they also concluded that these impacts are largely of opposite sign for ENSO warm and cold phases.

    The ENSO flavors are usually monitored by the sea surface temperature anomaly (SSTA) spatial patterns. Our previous studies have indicated that more than only CP and EP ENSO events, ten SSTA spatial patterns are obtained by a novel method, which combines the empirical orthogonal function (EOF) analysis and K-means clustering algorithm (Li et al., 2021). The changes of the warm and cold ENSO events are asymmetrical. And the changes in La Niña seems more distinct. Hence a question arises: Are there any changes of the impacts from the changing La Niña flavors?

    To address the question, we identify the ENSO types based on our previous result. Section 2 provides the introduction of the datasets and methods. The changes in ENSO diversity are described in Section 3. The impacts of different La Niña events on the Arctic climate and the underlying mechanisms are investigated in Section 4. Finally, conclusions and discussions are highlighted.

    The present study uses monthly sea surface temperature (SSTs) from the Met Office Hadley Centre's sea ice and sea surface temperature (SST) data set version 1 (HadISST1) with a 1°×1° grid (Rayner, 2003) and the National Oceanic and Atmospheric Administration (NOAA) interpolated outgoing longwave radiation (OLR) dataset (Liebmann and Smith, 1996). The OLR available since 1979 represents tropical convection. The atmospheric components are taken from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis products (Kalnay et al., 1996). These variables are available from 1948 to the present, with a 2.5°×2.5° horizontal resolution. In addition, a simple dry model named the linear baroclinic model (LBM) was used in our present study to examine the influence of the SSTAs-related convection on the Arctic climate. The LBM employed in this study is a time-dependent model based on primitive equations. The model had a resolution of T42 in the horizontal direction and 20 sigma levels in the vertical direction. More details can be found in Watanabe and Jin (2003).

    The ENSO diversity is made up of a rich variety of SSTA patterns among ENSO events. The recent accumulated CP El Niño events have been regarded as a possible harbinger of changes in ENSO due to global warming (Yeh et al., 2009). With the widespread attention to the different ENSO types, several methods have been proposed to identify the SSTA patterns. Besides the CP and EP ENSO events, much more ENSO types are identified via the details of the SSTAs spatial distribution (Ashok et al., 2012; Cai et al., 2014, 2015; Capotondi et al., 2015).

    Inspired by these studies, we have proposed a novel method combining the EOF analysis and the K-means clustering method to identify the tropical SSTA flavors. The SSTA fields of all months are reasonably grouped into 10 categories (Li et al., 2021), and the cluster result can be found in Fig. S1. Since the ENSO events usually peak during the boreal winter, we combine the SSTA fields of each category during December, January, and February to illustrate the changes in ENSO diversity.

    The composited SSTA spatial patterns during boreal winter are nearly consistent with our previous work (Li et al., 2021). Among the ten categories, three La Niña-like SSTA patterns (cluster 4, cluster 6, and cluster 7) and three El Niño-like patterns (cluster 2, cluster 5, and cluster 9) are contained (Fig. 1). Our current study is mainly focused on these three La Niña type events. Cluster 4 shows a basin-wide cooling spatial pattern, cluster 6 represents the canonical La Niña, and cluster 7 exhibits a typical central Pacific La Niña event. The last two types of La Niña events have a cooling center near the dateline, and the extreme La Niña events usually belong to cluster 6.

    Figure  1.  Composited sea surface temperature anomaly (SSTA) spatial distribution for ten clusters in boreal winter month (December, January and February) during 1950−2016, where the dots indicate 95% significance.

    Then to depict the changes of the ENSO diversity clearly, the occurrence frequency differences for different ENSO events are compared before and after 1980 (Fig. 2). Before 1980, the basin-wide cooling event (cluster 4) acts as the dominant cold event with the highest frequency. After 1980, the frequency for this dominant cold event has dropped to a low level. In contrast, the frequencies for the other two kinds of La Niña events with central Pacific cooling have increased, which also supports the westward air-sea interaction center under global warming. Therefore, we will check the different impacts on Arctic climate due to the La Niña type changing.

    Figure  2.  The percentage of occurrence frequency (months) of ten clusters respectively in winter (December, January, and February) during 1950−1979 (blue bars) and 1980−​​​​​​​2016 (red bars).

    The ENSO events usually influence the interannual Arctic climate via the poleward-propagating atmospheric Rossby waves (Lee and Yoo, 2014). Therefore, the La Niña-related atmospheric waves are first examined to confirm the physical linkage between ENSO and the Arctic climate.

    These three La Niña types all exhibit significant extratropical Rossby wave propagation pathways. The large-scale circulation anomalies (200 hPa geopotential height and wave activity flux) for the three type events are shown in Fig. 3. For the basin-wide cooling events (cluster 4), significant negative height anomalies are evident mainly over the tropics and northern Canada (Fig. 3a). The canonical La Niña events (cluster 6) excite a similar teleconnection pattern (Fig. 3b). Around the Arctic region, significant negative height anomalies extend from the Beaufort Sea to Greenland. In contrast to these two La Niña types, the recent frequent CP La Niña events (cluster 7) triggered positive height anomalies around the Arctic from the Barents-Kara seas to Greenland (Fig. 3c).

    Figure  3.  Composited 200 hPa geopotential height anomalies (shading) and the wave activity flux anomalies (black vectors, unit: W/m2) for the events of cluster 4 (a), cluster 6 (b) and cluster 7 (c), respectively, and the dots indicate 95% significance.

    Consistent with the opposite anomalous geophysical height anomalies over the Arctic, the low-level temperature anomalies for the recent frequent CP La Niña events (cluster 7) are also opposed to those of the canonical and basin-wide cooling La Niña events (Fig. 4). Both the canonical La Niña events and the basin-wide cooling La Niña events seem to induce anomalous cooling from the Beaufort Sea to Greenland (Figs 4a and b), while the CP La Niña events seem to induce anomalous warming over northern Canada and southern Greenland (Fig. 4c). Since the areas from the Beaufort Sea to Greenland are the key regions for Arctic warming (e.g., Screen and Simmonds, 2010), it seems that in contrast to previous La Niña events, the recent frequent CP cold ENSO events may warm northern Canada and Greenland accelerating Arctic warming.

    Figure  4.  Composited temperature anomalies at 925 hPa for the events of cluster 4 (a), cluster 6 (b) and cluster 7 (c), respectively, and the dots indicate 95% significance.

    The canonical La Niña-related atmospheric teleconnections are nearly consistent with those of the basin-wide cooling events, and the canonical La Niña events also occur frequently since the 1980s. Considering the limitation of the OLR dataset, the canonical La Niña events and the frequent CP La Niña events are compared to illustrate the changes for the impacts on Arctic climate. Since the tropical ENSO-related convections act as the energy source driving the atmospheric circulation, the changes in these La Niña-related SSTA spatial patterns may change the convection distribution over the tropical Pacific basin, then can trigger different atmospheric teleconnections inducing different Arctic responses.

    The convection distributions and the low-level circulation for the canonical La Niña events and the CP La Niña events are compared in Fig. 5. A dipole convection pattern in the tropics and strengthened Walker Circulation can be found in both La Niña events, with enhanced convection over the western Pacific and suppressed convection over the eastern Pacific. The enhanced convection distributions over the western Pacific show significant differences for these two La Niña types. The enhanced convections for the canonical La Niña events over the western Pacific are nearly symmetrical about the equator (Fig. 5a), however, the CP La Niña-related enhanced convections are over the north of the equator (Fig. 5b). A typical Matsuno-Gill response can be found for the canonical La Niña events (Fig. 5a), and the related teleconnections to the extratropics are triggered by the enhanced tropical convection, inducing large-scale subsidence within an anticyclone over the northeast Pacific near the Aleutian Islands with positive 850 hPa height anomalies (Fig. 5c). Within the subtropical anticyclones, anomalous upper tropospheric convergence is the most important source of Rossby wave forcing and these waves can eventually propagate to the mid-latitudes and high latitudes (Brands, 2017). On the other hand, the northward enhanced deep convections for the CP La Niña events over the western Pacific induce a basin-wide anticyclone over the North Pacific, which tilts from southwest to northeast (Fig. 5b). The anticyclone related positive 850 hPa height anomalies even extends to Greenland with a negative center over the northeast Asia. In contrast to the induced cooling around the north of Canada by the canonical La Niña events (Fig. 4b), significant warming extends from the Beaufort Sea to Greenland for the frequent CP La Niña events (Fig. 4c), which is related with the positive 850 hPa height anomalies (Fig. 5d). Considering the influences of topography, the composition for the height anomalies at 850 hPa is not statistically significant. However, the compositions at the up levels (Fig. 3c) have passed the significance test, indicating a significant equivalent barotropic feature. The positive height anomalies are corresponding to the surface warming as a result of subsidence.

    Figure  5.  Composited outgoing longwave radiation (OLR) anomalies (shading; the dots indicate 95% significance) and anomalous wind at 850 hPa (vector) for the events of cluster 6 (a) and cluster 7 (b), respectively; and composited 850 hPa geopotential height anomalies for cluster 6 (c) and cluster 7 (d), respectively.

    Based on the above analysis, we speculated that the northward deep convections over the western Pacific may change the impacts on the Arctic, particularly from the Beaufort Sea to Greenland. To confirm our hypothesis, two sensitive numerical experiments by the linear baroclinic model (LBM) are carried. Since the convection mainly drives the atmospheric circulation through the diabatic heating, the different elliptical areas of additional heating are added for the sensitive experiments according to the convection distributions of the ENSO events (Fig. S2). In this study, the sensitive numerical experiment is set up according to the convection distributions for the canonical La Niña events and CP La Niña events, respectively (Fig. 6) by changing the location of the sensible heating center (Fig. S2). Results from the experiments support the effectiveness of the northward convections for the CP La Niña events (Fig. 6b). The heating over the north of the equator induces positive 850 hPa height anomalies over the north of Canada, which is opposite to the results induced by the symmetric heating about the equator. Considering the local positive feedbacks over the Arctic, the canonical La Niña events could trigger the north of Canada cooling, while the CP La Niña events can warm northern Canada and part of Greenland through the meridional movement of the convection center.

    Figure  6.  Geopotential height anomalies at 850 hPa resulted from heat forcing sensitive experiments that are set according to Figs 4b and c, respectively.

    Considering the great impacts of the Arctic amplification, the Arctic climate has received increasing attention under global warming. Meanwhile, ENSO events exhibit considerable diversity in their frequency, location, intensity, and meridional scale. However, few studies investigate the linkage between ENSO and Arctic climate from the perspective of ENSO diversity. The recent studies have investigated the different impacts on Arctic climate of the CP and EP ENSO events and concluded that these impacts are largely of opposite sign for ENSO warm and cold phases. Following our previous results, the changes for the warm and clod ENSO events show significant asymmetrical features, particularly the La Niña events. Therefore, the impacts on the Arctic climate by the changing La Niña types are investigated.

    Compared to the past frequent basin-wide cooling La Niña events, since the 1980s the cooling center for the La Niña event has strengthened and moved westward along with the increasing frequency for the canonical and CP La Niña events. The impacts of the recent frequent CP La Niña events induce significant warming from the Beaufort Sea to Greenland, which is opposite to those of the basin-wide cooling and canonical La Niña events and is in favor of the Arctic warming.

    In contrast to the other La Niña types, the deep convection centers for the CP La Niña events are located over the north of the equator instead of nearly symmetrical about the equator. The changes in the meridional movement of the ENSO-related convection center cause variations in atmospheric teleconnections inducing different responses in the Arctic via local positive feedbacks, such as the ice-albedo feedback (Budyko, 1969; Sellers, 1969; Hall, 2004; Ogi and Wallace, 2012; Stroeve et al., 2012), water vapor-cloud cover feedbacks (Francis and Hunter, 2006; Abbot and Tziperman, 2008; Kay et al., 2008; Screen and Simmonds, 2010; Ghatak and Miller, 2013) and the local lapse rate feedback (Pithan and Mauritsen, 2014; Stuecker et al., 2018). The observed Arctic responses are also supported by the numerical experiments. The changes in ENSO diversity are suggested to be regulated by changes in the tropical Pacific mean state under global warming. Our results suggest that besides the direct impacts from the greenhouse gas, the changes in La Niña type may also accelerate the Arctic warming.

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