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Official Journal of the Asia Oceania Geosciences Society (AOGS)

Extreme IOD induced tropical Indian Ocean warming in 2020

Abstract

The tropical Indian Ocean (TIO) basin-wide warming occurred in 2020, following an extreme positive Indian Ocean Dipole (IOD) event instead of an El Niño event, which is the first record since the 1960s. The extreme 2019 IOD induced the oceanic downwelling Rossby waves and thermocline warming in the southwest TIO, leading to sea surface warming via thermocline-SST feedback during late 2019 to early 2020. The southwest TIO warming triggered equatorially antisymmetric SST, precipitation, and surface wind patterns from spring to early summer. Subsequently, the cross-equatorial “C-shaped” wind anomaly, with northeasterly–northwesterly wind anomaly north–south of the equator, led to basin-wide warming through wind-evaporation-SST feedback in summer. This study reveals the important role of air–sea coupling processes associated with the independent and extreme IOD in the TIO basin-warming mode, which allows us to rethink the dynamic connections between the Indo-Pacific climate modes.

Introduction

The Indian Ocean Basin (IOB) mode is the first mode of the interannual variability of sea surface temperature in the tropical Indian Ocean (TIO), which is characterized by basin-warming/cooling (Klein et al. 1999; Yang et al. 2007). The IOB shows a close tie with El Niño-Southern Oscillation (ENSO), which develops during the mature phase of ENSO, reaches its peak in the following spring and persists into summer (Klein et al. 1999; Yu and Lau 2005; Du et al. 2009). IOB evolution involves active air–sea interactions over the TIO with important impacts on the surrounding climate rather than a passive response to ENSO (Yang et al. 2007; Xie et al. 2009, 2016; Du et al. 2011; Hu et al. 2011, 2012; Hu and Duan 2015; Huang et al. 2011, 2016; Chowdary et al. 2019). A “capacitor effect” proposed by Yang et al. (2007) and Xie et al. (2009) reveals that the TIO basin-warming acts as a capacitor, being charged up by El Niño, anchoring atmospheric anomalies over the Indo-Pacific Oceans, and exerting climate influences like a discharging capacitor (Xie et al. 2016).

The physical processes, including the air–sea feedbacks associated with the atmospheric bridge (Lau and Nath 1996; Klein et al. 1999) and the ocean dynamic effect (Masumoto and Meyers 1998; Huang and Kinter 2002; Xie et al. 2002) are responsible for the development of IOB.

The “atmospheric bridge” mechanism is caused by the ENSO-induced Walker Circulation anomalies, which affect sea surface temperature (SST) in the TIO via cloud-radiation-SST feedback and wind-evaporation-SST (WES) feedback (Lau and Nath 1996; Klein et al. 1999; Reason et al. 2000; Alexander et al. 2002). The atmospheric circulation and convection weaken over the TIO during El Niño, accompanying the reduction of cloud cover and winds, leading to an increase in the solar radiation absorbed by the ocean and a decrease in the heat latent flux loss of the ocean, thereby resulting in the SST warming in the TIO. However, the warming in the southwest TIO (SWTIO) cannot be explained by the air–sea interface fluxes. Instead, the importance of ocean dynamics has been discovered and emphasized in previous studies (Murtugudde and Busalacchi 1999; Chambers et al. 1999; Murtugudde et al. 2000; Behera et al. 2000; Huang and Kinter 2002; Xie et al. 2002; Du et al. 2021).

A thermocline dome in the SWTIO is maintained by the upwelling induced by negative wind curl between the weak equatorial westerlies and the southeasterly trades (Hermes and Reason 2008; Yokoi et al. 2008), which provides a favorable condition for subsurface temperature variability to affect SST (e.g., Neelin et al. 1998; Xie et al. 2002). An anticyclonic atmospheric circulation appears over the southern TIO during an El Niño event, which forces westward-propagating downwelling Rossby waves (Masumoto and Meyers 1998; Yu et al. 2005; Tozuka et al. 2010). The westward-propagating downwelling Rossby waves deepen the thermocline depth and cause the thermocline warming in the thermocline dome region, resulting in SST warming, which is called thermocline-SST feedback (Xie and Philander 1994). Thus, the SST warming in the SWTIO can sustain through the summer even as El Niño dissipates (Xie et al. 2002; Annamalai et al. 2005), which induces an increase in atmospheric convection and precipitation over the southern TIO (Wu et al. 2008; Wu and Yeh, 2010). A cross-equatorial “C-shaped” wind anomaly, with northeasterly–northwesterly wind anomaly north–south of the equator, results from the SWTIO warming-induced SST gradient between the north and south and the reverse of the Coriolis force across the equator (Kawamura et al. 2001; Wu et al. 2008; Wu and Yeh 2010; Chakravorty et al. 2013). In the early spring, the northeasterly wind anomaly enhances the winter monsoon over the north Indian Ocean, which cools down the SST through negative WES feedback. The northeasterly anomaly persists into the summer due to the long-lasting SWTIO warming and weakens the summer southwesterly monsoon, thus leading to a second SST warming north of the equator due to reduction of latent heat flux (Du et al. 2009, 2013). The equatorially asymmetric SST and wind anomalies are critical to maintaining basin-wide warming in the TIO until summer (Du et al. 2009; Guo et al. 2018).

The basin-wide warming in the TIO is found to be stronger during co-occurrence of El Niño and Indian Ocean Dipole (IOD) than that during El Niño only (Chowdary and Gnanaseelan 2007; Hong et al. 2010). The air–sea feedbacks associated with ENSO-induced atmospheric bridges play an important role in the persistence of basin-wide warming in the TIO during the pure El Niño years. During El Niño and IOD co-occurrence years, air–sea feedbacks and ocean dynamics are of great importance for the TIO basin warming. However, such basin-wide warming is not seen during pure IOD years due to the absence of ENSO-induced subsidence over the eastern TIO (Chowdary and Gnanaseelan 2007; Chakravorty et al. 2014).

Basin-wide warming occurred in the TIO in 2020, which followed an extreme positive IOD instead of an El Niño event (Fig. 1a). This is the first record since the 1960s. The 2020 IOB warming caused devastating flooding in Japan and central China associated with the heavy Meiyu–Baiu precipitation (Zhou et al. 2021; Takaya et al. 2020). However, it is not fully understood the dynamic processes of IOB in 2020 that followed an IOD rather than an El Niño event, which is the goal of this study.

Fig. 1
figure 1

a Time series of the Indian Ocean dipole mode index (DMI) and IOB mode index during Jan 2019–Dec 2020. b Scatter plot between DMI and Niño3.4 index, superimposed with following-year IOB events (red and blue dots). Small, medium and large red (blue) dots represent IOB index exceed (-) 1, 1.5, and 2 std of IOB index, respectively

Data

In this study, the NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) version 2 monthly fields (Reynolds et al. 2007) are used to display the development of IOB, which are derived by linear interpolation of the weekly OI version 2 fields to daily fields then averaging the daily values over a month. The SST fields are available on 1° spatial resolution from December 1981 to the present. The monthly gridded temperature fields from Roemmich-Gilson Argo Climatology (RG Argo; Roemmich and Gilson 2009), with a regular 1° horizontal resolution and 58 vertical levels in the upper 2000 m, are available from January 2004 to the present. The altimeter satellite grided sea surface height (SSH) data is obtained from Copernicus Marine Environment Monitoring Service (CMEMS), which has a spatial grid resolution of 0.25° and a temporal resolution of 1 day from January 1993 to the present.

An observation-based merged analysis of precipitation is provided by the Global Precipitation Climatology Project (GPCP) monthly product, which covers the period from January 1979 through the present (Huffman et al. 1997, 2009; Adler et al. 2003). The Levels 3.0 and 3.5 Cross‐Calibrated Multi-Platform (CCMP) version 2.0 gridded surface vector winds are produced using satellite, moored buoy, and model wind data since 1988, which are available from Remote Sensing Systems (RSS; Atlas et al. 2011; Wentz et al. 2015). The surface heat fluxes are provided by the fifth generation ECMWF atmospheric reanalysis (ERA5) of the global climate, covering from January 1979 through the present.

The indices of Niño3.4, IOD, and IOB modes were calculated using ERSSTv5 from January 1960 to February 2021. The seasonal cycle and linear trends are removed from the anomalies.

Results

Over the past 60 years, five warming and one cooling events occurred during the co-occurrence of IOD and ENSO, five (three) warming and four (one) cooling events during the pure (weak) ENSO, and only one warming event occurred during the pure IOD (Fig. 1b). That is 2019 extreme IOD, which forced a TIO basin-wide warming to occur in the following year.

In 2019, the positive IOD developed independently without an El Niño event, which was the strongest event since the 1960s (Doi et al. 2020; Du et al. 2020; Lu and Ren 2020). The 2019 extreme IOD is classified as the “prolonged IOD”, which features a longer period of development and decay (Du et al. 2020). It developed during MAM, peaked at SON, and decayed in the following season (Fig. 1a; Du et al. 2020). In SON 2019, a strong SST cooling in the southeast and warming in the west and southwest, with strong equatorial easterly anomalies and anticyclonic wind stress curl anomalies on both sides of the equator, appeared during the mature phase of positive IOD (Fig. 2a, b). A similar dipole pattern of precipitation anomalies was caused by this extreme IOD, with floods along the western coast of TIO and severe drought and bushfires in Indonesia and Australia (Fig. 2a; Bureau of Meteorology, Australian Government 2019; Munthe et al. 2019; OCHA 2019). Meanwhile, the thermocline deepened and SSH rose in the west, while the thermocline shallowed and SSH dropped in the east through the modulation of oceanic planetary waves and zonal heat transport, which were triggered by the equatorial easterly anomalies and anticyclonic wind stress curl anomalies (Fig. 2b; Feng et al. 2001; Vinayachandran et al. 2002; Rao et al. 2002; Nagura and McPhaden 2010).

Fig. 2
figure 2

a SSTa (shading, ℃) and precipitation anomaly (contours, mm/day) in 2019 SON. b SSHa (shading, m) and wind anomalies (vectors, m/s) in 2019 SON. c, d same with (a, b), but in 2020 AMJ

After the extreme IOD disappeared, the TIO experienced a basin-wide warming from the following spring to summer, with two peaks in March and June, respectively (Figs. 1a, 2c). Correspondingly, an increase in precipitation took place over the TIO in this period (Fig. 2c; Annamalai et al. 2005; Li et al. 2008). Similarly, the thermocline in the TIO displayed a basin-wide deepening in summer, replacing the dipole structure in the 2019 fall (Fig. 2d). The sea surface and thermocline warming in the SWTIO showed more pronounced, with a “C-shaped” surface wind anomaly anchored, indicating the important role of the SWTIO active air–sea coupling processes in the TIO basin-warming (Fig. 2c, d).

Significant westward-propagating oceanic downwelling Rossby waves were found in the south TIO, accompanied by copropagating thermocline and SST warming from the development phase to the decay phase of the 2019 extreme IOD (Fig. 3). The downwelling Rossby waves and corresponding SST warming during 2019–2020 were the strongest on record, forced by sustained anticyclone wind curls associated with the extreme IOD in 2019 (Zhou et al. 2021; Zhang Y et al. 2021). In boreal spring (MAM) of 2019, a positive wind stress curl anomaly occurred in the east, triggering the westward-propagating downwelling Rossby waves via Ekman pumping and convergence (Fig. 3b). The downwelling Rossby waves deepened the thermocline, leading to thermocline warming in the south TIO. Meanwhile, the mixed layer is deepened by the Ekman pumping. During the mature phase (SON) of IOD, the positive wind stress curl anomaly became stronger and covered a larger area over the south TIO, forcing and strengthening the westward-propagating downwelling Rossby waves (Fig. 3b). Thus, the thermocline became deeper, and the resultant warming of the thermocline became more significant. Subsequently, the downwelling Rossby wave propagated westward to the thermocline dome in the SWTIO, which deepened the thermocline and caused the SST warming in the SWTIO (Fig. 3c; Chowdary et al. 2009). In DJF, the downwelling Rossby waves and associated thermocline fluctuation reached their peak (Fig. 3d). The SST warming in the SWTIO was maintained by the slow-propagating downwelling Rossby waves and local wind forcing until the 2020 summer (Fig. 3e). This breaks through our previous understanding that SWTIO SST warming cannot persist until the following summer during the pure IOD events.

Fig. 3
figure 3

Hovmöller diagrams of (a) SSTa (shading, ℃) and precipitation anomalies (contours, mm/day), and b SSHa (shading, m) and wind stress curl anomalies (contours, 10–8 N/m3) averaged in 8–12°S. Green arrows denote the westward-propagating Rossby waves. ce Vertical distribution of potential temperature anomalies (shading, ℃), MLD (black dashed lines), and D20 (solid black lines) averaged between 8 and 12°S in 2019 SON, 2019 D(2020)JF, 2020 MAM, respectively. Gray lines in ce are climatological means for the period 2004–2020

The SST warming in the SWTIO-induced heavy precipitation by strengthening local deep convection during spring to summer (Fig. 4). Therefore, equatorially antisymmetric SST and convection patterns appeared in the TIO (Fig. 4). Consistently, the surface wind anomalies feature an antisymmetric circulation structure over the TIO (Fig. 4a; Kawamura et al. 2001; Wu et al. 2008; Wu and Yeh 2010). A cross-equatorial “C-shaped” wind anomaly over the TIO, with northeasterlies north and northwesterlies south of the equator, was forced by the north–south temperature gradient and Coriolis effect. In turn, the cross-equatorial “C-shaped” wind anomaly also favored the north–south SST gradient, because surface wind caused less latent heat flux loss over the southern TIO. Thus, in spring, positive WES feedback works in the southern TIO, supporting the maintenance of the antisymmetric mode (Wu et al. 2008; Wu and Yeh 2010). In summer, the anomalous northeasterlies weakened the climatological monsoon southwesterlies over the northern TIO, leading to an increase in SST due to the positive WES feedback mechanism (Fig. 4; Xie and Philander 1994; Du et al. 2009; Chen et al. 2019). Meanwhile, the enhanced precipitation extended to the northern TIO, with the development of SST warming and summer monsoon in the TIO (Fig. 4; Annamalai et al. 2005; Izumo et al. 2008).

Fig. 4
figure 4

a SSTa (shading, ℃) and wind anomalies (vectors, m/s) zonally averaged between 40° and 100°E. b latent heat flux anomalies (shading, W/m2) and precipitation anomalies (contours, mm/day) zonally averaged between 40° and 100°E

In addition, the westward-propagating downwelling Rossby waves in the south TIO transformed into the equatorward-propagating coastal-trapped waves after reaching the western boundary and then reflected as the equatorial Kelvin waves that propagate eastward along the equator (Le Blanc and Boulanger 2001; McPhaden and Nagura 2014; Wang et al. 2016; Chen et al. 2019). Thus, the downwelling Rossby waves and reflected-equatorial Kelvin waves sustained the warming of the western TIO and west–east temperature gradient from 2019 winter to the following spring (Fig. 5a, b; Jury and Huang 2004). In early spring, the west–east temperature gradient forced the equatorial easterly wind anomaly (Figs. 4a, 5b; Du et al. 2020), which favored the generation of downwelling Rossby waves and westward heat advection, further maintaining the warming in the western TIO.

Fig. 5
figure 5

Hovmöller diagrams of (a) monthly SSTa (shading, ℃) and precipitation anomalies (contours, mm/day), (b) daily SSHa (shading, m) and zonal wind velocity anomalies (contours, m/s), and (c) monthly net air–sea heat flux anomalies (shading, W/m2) and latent heat flux anomalies (contours, W/m2) averaged in 1°S–1°N. Green arrows in b denote the eastward-propagating Kelvin waves

In the eastern TIO, the SST warming was affected by the air–sea interface exchanges associated with cloud-radiation-SST feedback and WES feedback, resulting from the weakening of anomalous subsidence of Walker Circulation over the east TIO. During the boreal winter of 2019, a reduction of cloud cover, induced by the cooling pole of IOD off the Sumatran southwest, favored an increase in the shortwave radiation (Figure not shown; Cai and Qiu 2013; Liu et al. 2014). In addition, the strong southeasterly wind anomaly weakened during the decay phase of IOD, resulting in the SST warming due to a decrease in the heat latent flux loss of the ocean (Figs. 4b, 5c; Tokinaga and Tanimoto 2004). In later spring, the reflected-equatorial Kelvin reached the Sumatra-Java coasts, sustaining SST warming in the eastern TIO (Fig. 5a, b). An increase in precipitation followed the SST warming in the eastern TIO (Figs. 2c, 5a).

Summary and discussion

The TIO experienced a basin-wide warming in 2020, following an extreme and prolonged positive IOD event instead of an El Niño event. This is the first record since the 1960s. Persistent warming occurred in the SWTIO from late 2019 to early 2020, sustained by oceanic downwelling Rossby waves associated with the extreme 2019 IOD via thermocline-SST feedback. During 2020 spring to early summer, the SWTIO warming triggered the equatorially antisymmetric SST, precipitation and surface wind patterns over the TIO. The cross-equatorial “C-shaped” wind anomaly, with northeasterly–northwesterly wind anomaly north–south of the equator, weakened the climatological surface winds then led to basin-wide warming via reducing surface evaporation. Moreover, the westward-propagating Rossby waves reflected as the eastward-propagating equatorial Kelvin waves, which favored the persistence of warming in the western TIO in 2020 spring. In the eastern TIO, air–sea interface exchanges play an important role in SST warming. The importance of air–sea coupling processes associated with the independent and extreme IOD in the TIO basin-warming mode has been clarified in this study, which allows us to rethink the relationship between the Indo-Pacific climate modes.

In addition to the local forcing of the TIO, the remote forcing from the Pacific might also impact the development of IOB warming in 2020. A weak El Niño Modoki developed in the tropical Pacific during 2019. Zhou et al. (2021) suggested that the warming in the central-western tropical Pacific during the weak El Niño Modoki contributed to the sustained anticyclone wind curls over the south TIO in early 2020 according to the results of the atmospheric model experiments. Zhang L et al. (2021) further indicated that the warming of the tropical Pacific contributes to the tropical Indian Ocean wind anomalies, regardless of whether the warming is in the western or eastern tropical Pacific. The tropical Pacific warming causes the Pacific convection center to shift eastward, and then triggers atmospheric Rossby waves over the Indian Ocean, resulting in a pair of low-level anomalous anticyclones occurring on both sides of the equator. Nevertheless, our results in this study challenge the perception that only ENSO triggers the IOB. The relationship between ENSO and IOB would change with ocean mean state and ENSO activity on long timescales (Xie et al. 2010; Zheng et al. 2011, 2016; Hu et al. 2013; Tao et al. 2015; Liu et al. 2021). In a warming climate, both extreme positive IOD events and El Niño events are projected to become more frequent (Cai et al. 2014; Freund et al. 2020). Thus, it is worth paying attention to changes in the relationship between the Indo-Pacific climate modes, and their relative contributions to climate variability in the Indo-Pacific.

Availability of data and materials

The OISST monthly fields are provided by https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.html. Argo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (http://www.argo.ucsd.edu, http://argo.jcommops.org). The SSH data set is available at https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_L4_REP_OBSERVATIONS_008_047 and https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_L4_NRT_OBSERVATIONS_008_046. The ERA5 data set is provided by CMEMS at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=form. The GPCP precipitation is obtained from NASA/GSFC (http://precip.gsfc.nasa.gov). The CCMP surface wind data set is available at https://data.remss.com/ccmp/.

Abbreviations

IOB:

Indian Ocean Basin

IOD:

Indian Ocean Dipole

ENSO:

El Niño-Southern Oscillation

SST:

Sea surface temperature

SSH:

Sea surface height

SSTa:

Sea surface temperature anomaly

SSHa:

Sea surface height anomaly

TIO:

Tropical Indian Ocean

SWTIO:

Southwest tropical Indian Ocean

MAM:

March, April and May

SON:

September, October and November

DJF:

December, January and February

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Acknowledgements

We thank to two anonymous reviewers for their constructive comments and suggestions. This study is supported by the National Natural Science Foundation of China (41830538, 42090042, 42006026), the Natural Science Foundation of Guangdong Province, China (2020A1515010361), the Chinese Academy of Sciences (XDA15020901, 133244KYSB20190031, ZDRW-XH-2019-2, XDB42010304, LTOZZ2005, LTOZZ2012), and the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0303, 2019BT02H594).

Funding

National Natural Science Foundation of China (41830538, 42090042, 42006026); Natural Science Foundation of Guangdong Province, China (2020A1515010361); Chinese Academy of Sciences (XDA15020901, 133244KYSB20190031, ZDRW-XH-2019-2, XDB42010304, LTOZZ2005, LTOZZ2012); Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0303, 2019BT02H594).

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YD conceived the study. YZ performed the analysis, generated the figures, and wrote the manuscript. Both authors read and approved the final manuscript.

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Correspondence to Yan Du.

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Zhang, Y., Du, Y. Extreme IOD induced tropical Indian Ocean warming in 2020. Geosci. Lett. 8, 37 (2021). https://doi.org/10.1186/s40562-021-00207-6

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Keywords

  • Indian Ocean Basin warming
  • Indian Ocean Dipole
  • Downwelling Rossby waves
  • Southwest tropical Indian Ocean