Pacific Meridional Mode
Pacific Meridional Mode (PMM) is a climate mode in the North Pacific. In its positive state, it is characterized by the coupling of weaker trade winds in the northeast Pacific Ocean between Hawaii and Baja California with decreased evaporation over the ocean, thus increasing sea surface temperatures (SST); and the reverse during its negative state. This coupling develops during the winter months and spreads southwestward towards the equator and the central and western Pacific during spring, until it reaches the Intertropical Convergence Zone (ITCZ), which tends to shift north in response to a positive PMM. The North  Pacific Oscillation (NPO) and the "North American Dipole"—two climate oscillations over the North Pacific and North America—trigger PMM modes during winter. Temperature fluctuations in the North Atlantic and the West Pacific oceans and changes in Arctic sea ice have also been proposed as triggers for PMM events. The PMM is not the same thing as the El Niño-Southern Oscillation (ENSO), but there is evidence that PPM events can trigger ENSO events, especially Central Pacific El Niño events. The PMM state can also modulate hurricane activity in the East Pacific and typhoon activity in the West Pacific oceans and  alter precipitation on the continents surrounding the Pacific Ocean. The South Pacific Ocean has a PMM-like mode known as the "South Pacific Meridional Mode" (SPMM) that also influences the ENSO cycle. In the early 21st century, the intensity of the 2014–16 El Niño event and the highly active 2018 Pacific hurricane and typhoon seasons have been attributed to positive PMM events. With anthropogenic global warming, PMM activity is likely to increase, and some scientists have proposed that a loss of Antarctic and especially Arctic sea ice will induce future positive PMM events. Concept. The Pacific Meridional Mode is a  form of coupled variability between the latitude of the Intertropical Convergence Zone (ITCZ) and north–south sea surface temperature (SST) gradients in the subtropical Pacific Ocean. Anomalies in the temperature gradient induce shifts in the ITCZ's position, which in turn alters wind-surface heat flux processes that modify the SST structure. Specifically, weaker trade winds are coupled to warm SST anomalies in the North Pacific—in particular along the California coast and between Hawaii and Western North America— focused on the subtropical Pacific, while cold SST anomalies lie in the East Tropical Pacific. The weaker trade winds correspond to  southwesterly wind anomalies and mean reduced evaporative cooling, and the ITCZ is displaced northward. Mathematically, the PMM is often defined by maximum covariance analysis of three-month mean SST and wind anomalies in the central and eastern Pacific, with a focus on the northern hemisphere (20°S-30°N, 175°E-85°W) and by removing the ENSO index through linear regression. The PMM is most intense during the months of January through May. Wind anomalies peak in February and SST anomalies in March. The PMM responses tend to persist into late summer and autumn through interactions with  the ITCZ, which reaches its highest latitude and thus strongest interaction with the PMM during these seasons. Generally, the PMM does not extend farther south than the ITCZ and thus tends not to reach the equator as the ITCZ is normally in the northern hemisphere. This is because the wind-SST feedback operates mostly when the wind anomaly is opposite to the climatological mean wind. This is not the case south of the ITCZ where mean winds come from the south. It is also a primarily ocean mixed layer process, with oceanic dynamics playing a minor role. Other modes. In  the North Pacific Ocean, the "Victoria mode" is another SST pattern that extends across the entire North Pacific, unlike the more regionally limited PMM which has been described as the eastern part of the Victoria mode. The distinction is that the Victoria mode is an SST pattern while the PMM is an SST-wind coupling pattern. Another North Pacific climate oscillation, the "North Pacific Mode", resembles the PMM. The PMM is distinct from the El Niño–Southern Oscillation (ENSO), which is the principal climate variation in the Pacific Ocean. The two climate modes are not easily separated, however, and they  both act to induce decadal climate variations in the Pacific. Separating the Pacific decadal oscillation/Interdecadal Pacific oscillation from PMM is also difficult. Triggers. The PMM appears to be mainly a consequence of stochastic (random) climate forcing in the extratropics albeit with influence from the atmospheric background state. The North Pacific Oscillation (NPO)—the atmospheric counterpart of the North Pacific Gyre Mode— can trigger PMM events mainly via SST anomalies off the coast of Baja California. The mid-latitude jet stream and, according to Tseng "et al." 2020, the East Asian winter monsoon can modulate the NPO-PMM connection. The "North  American Dipole" is an alternating pattern of atmospheric pressure anomalies over North America, with positive anomalies over the Caribbean and its surroundings and negative anomalies over the Labrador Sea, that is strongest during winter. A positive North American Dipole is often associated with the development of a positive PMM during the subsequent spring. This occurs via the Atlantic and East Pacific Oceans, being cooled or warmed by the positive North American Dipole. The cooling Tropical Atlantic induces anticyclonic airflow anomalies over the East Pacific, which in turn oppose the trade winds and trigger a positive PMM. Other mechanisms have been  described: There is little study on whether ENSO induces PMM changes with research in 2011 and 2018 suggesting that positive ENSO events could trigger negative PMM events and less commonly, negative ENSO events positive PMM events, while Capotondi "et al." (2019) proposed that SST anomalies in the west-central Pacific can induce warming along the West Coast resembling that of the PMM. Growth and demise. Variations in the strength of the North Pacific High due to extratropical climate variability (e.g. the North Pacific Oscillation [NPO] in winter) induce changes in the strength of the trade winds. Anomalies in their strength  alter surface heat fluxes over the sea, causing SST changes that peak in spring and spread southwestward. This process, when triggered by NPO variations during winter, is known as the "seasonal footprinting mechanism", and it involves positive NPO anomalies weakening the trade winds. According to Wu "et al." (2009), the decreased evaporation occurs southwest of the original SST anomaly because of the easterly trade winds, and thus the SST anomaly tends to spread southwestward. Particularly in the northwest Tropical Pacific, increased insolation during spring facilitates the growth of PMM events. Cross-equatorial winds triggered by temperature gradients between the hemisphere  facilitate the development of the PMM. As they cross the equator, the Coriolis force deflects them into a direction opposite to that of the trade winds, weakening them. In turn, the ~PMM facilitates the development of cross-equatorial winds, generating a positive feedback, especially since the cross-equatorial winds act to trigger a cooling response in the southern hemisphere and according to Wu "et al." (2009) along the equator. According to Wu "et al." (2009), turbulent heat fluxes act to dissipate the originating SST anomaly. After August, westerly winds south of the ITCZ act to dissipate SST anomalies. Effects. The  PMM is the major pathway through which the extratropics influence tropical climate in the Pacific Ocean. PMM variations influence tropical cyclone activity in the Pacific and Atlantic Oceans. Among the phenomena associated with the PMM are: Other suggested correlations: Whether the PMM has effects on the Madden–Julian oscillation or on equatorial Kelvin waves is largely unstudied, and any connection between PMM and the Indian Ocean Dipole is unclear. Precipitation. The PMM alters precipitation in Asia. A circumglobal teleconnection influenced by the PMM and changes in atmospheric pressure systems alters precipitation in the Yellow River valley, and Rossby waves alter  the precipitation in the Yangtze River valley of China as they emanate from the PMM region westward and interact with the jet stream. Precipitation increases in northern and southwestern China and declines over western-central China and the lower Yangtze River valley. According to Li and Ma (2011), PMM-induced ITCZ variations trigger the circumglobal teleconnection. Kao, Hung and Hong (2018) identified a correlation between precipitation over Taiwan and the PMM. Interactions between PMM and the North Pacific High may be influenced by the hydroclimate of the Southwestern United States. Zhong, Liu and Notaro (2011) found that a positive PMM  causes dry winters from the Great Plains into the Northeastern United States through a North Atlantic Oscillation-type teleconnection. During summer low atmospheric pressure over the Northern United States and high atmospheric pressure over the Eastern United States favour precipitation in the Midwestern United States. Gibson "et al." (2020) found a correlation between PMM and the occurrence of a ridge off the West Coast of the United States, a pattern associated with droughts there. Son "et al." (2021) proposed that the PMM is part of a cycle of climate variability in the North Pacific that imparts a 5-7 year  long cycle to wildfire activity in California. A positive correlation exists between precipitation in eastern and Amazonian South America and the PMM. This does not appear to be due entirely to atmospheric moisture transport, as precipitation increases even in parts of South America where moisture convergence declines, and the effect is much stronger during boreal summer. Seiler, Hutjes and Kabat (2013) did not find a correlation between Bolivian climate and the PMM. Zhang, Villarini and Vecchi (2019) found that positive PMM causes drought over Australia and the Maritime Continent. This is mainly due to the excitation of ENSO variability by  the PMM, which in turn induces anomalies in moisture transport, and has been proposed as a predictor of Australian droughts. ENSO. PMM events in spring are a major predictor of subsequent ENSO state. Mechanistically, PMM influences ENSO state through several pathways: Positive PMM events result in wind and SST anomalies that resemble these preceding optimal El Niño conditions and westerly wind bursts, and also modulate sub-surface ocean heat content associated with El Niño development. They further suggest the PMM might influence the seasonality of El Niño events, as PMM events occur mainly during spring. The PMM induces mainly warm  events (El Niño) rather than cold events (La Niña) and it is a more reliable predictor of the former than the latter. As noted by Zheng "et al." (2921), negative PMM events are not as effective at triggering La Niña as positive events are at triggering El Niño because the wind anomalies are weaker. The PMM appears to have a stronger effect on the central and western Pacific rather than the eastern Pacific and thus favours the development of Central Pacific El Niño (CP Niño or El Niño Modoki) events, although there is no clear consensus on this association. Zonal  advection of SST anomalies from the central to the eastern Pacific may allow the PMM to induce canonical El Niño. You and Furtado (2018) proposed that mismatches between the northern and southern PMM prevent the development of canonical El Niño events while congruence favours it. Sanchez "et al." (2020) have found that positive PMM events have usually preceded strong El Niño events since 1860. Wang and Wang (2013) defined CP El Niño I and II, the latter of which features SST anomalies similar to positive PMM. Cai, Wang and Santoso (2017) proposed that the unusually west-shifted warm SST anomalies  during the 2014–16 El Niño event may have been a consequence of the positive PMM that year, and Paek, Yu and Qian (2017) explained the sustained SST anomalies in the central Pacific during that year with the prolonged positive PMM conditions. Stuecker (2018) proposed that CP Niño and PMM events are inherently coupled and enhance each other through teleconnections involving the Aleutian Low, and that there is no actual relationship between PMM and East Pacific El Niño. The PMM also influences the end of an ENSO event, in particular the development of multi-year ENSO events. For La Niña, Park  et al. (2020) proposed that the development of a negative PMM in the spring of the year following a La Niña is strongly correlated both in observations and models with the redevelopment of La Niña in the subsequent winter, while a positive PMM is associated with a single-year La Niña. He "et al." (2020) identified the persistence of a positive PMM-like SST pattern as a mechanism that impedes the genesis of La Niña after a Central Pacific El Niño event. Park "et al." (2021) proposed that during multi-year La Niña, the PMM hinders the recharge of heat  in the West Pacific and thus allows the recurrence of La Niña. Not all PMM events trigger subsequent ENSO events, a phenomenon that appears to be caused by varying SST patterns according to Zhao "et al." (2020) In the so-called "East PMM" the SST anomalies stay off the equatorial Pacific and are flanked by cold SST anomalies in the tropical East Pacific and impede El Niño development, while in the "West PMM", they extend into the Western Pacific and trigger winds favourable to El Niño development. The source of this variance is unclear but may relate to forcings from  the Atlantic Ocean and diversity in the North Pacific Oscillation. There appear to be decadal cycles in the PMM-ENSO teleconnection. Tropical cyclones. Typhoon frequency is increased in the southeastern West Pacific during positive PMM years. This is due mainly to changes in vorticity and remotely forced changes in atmospheric parameters such as relative humidity and wind shear, which shift typhoon genesis east during positive and west during negative PMM events. It is also due to a more southeastward genesis location, however, which lengthens the time that typhoons have to intensify. Zhang "et al." (2016) identified a positive correlation between  West Pacific accumulated cyclone energy (ACE) and the PMM. Zuo "et al." (2018) proposed that positive PMM events can facilitate an early onset of typhoon seasons through increased genesis in the eastern West Pacific. Gao "et al." (2018) found an increased occurrence of intense typhoons during positive PMM years, both in absolute terms and relative to the average number of typhoons. The earliest typhoon genesis also occurs earlier in positive PMM years. The changes in typhoon activity are induced mainly by the central tropical Pacific manifestation of PMM, not by the eastern subtropical Pacific manifestation, and also by Central Pacific  El Niño events. Zhan "et al." (2017) correlated the frequent occurrence of intense typhoons in 1994, 2004, 2015 and 2016 with positive PMM events in those years. The numerous impacts of typhoons on Taiwan and different behaviour of the 2016 typhoon season compared to the 1998 typhoon season was due to the positive PMM state in 2016. A positive PMM event enhanced the 2018 Pacific hurricane season and the 2018 Pacific typhoon season that year. The effect of PMM also extends to the Atlantic and East Pacific: Similar phenomena in other oceans. Similar couple SST-wind anomalies have been documented  in other oceans, such as the Indian Ocean, south Pacific Ocean and the south Atlantic Ocean, and are hypothesized to play a role in the onset of ENSO events. The Atlantic Ocean counterpart is known as the Atlantic Meridional Mode and operates similarly. South Pacific Meridional Mode. The "South Pacific Meridional Mode" (SPMM) is an analogous climate mode in the south Pacific; Zhang, Clement and Di Nezio proposed its existence in 2014 and it operates in a nearly identical manner to the northern hemisphere PMM albeit according to You and Furtado (2018) with SST anomalies peaking during (austral) summer and  wind anomalies during (austral) winter. According to Middlemas "et al." (2019), cloud radiative feedbacks counteract the persistence of SPMM. The SPMM has been further related to a different climate mode known as the "South Pacific Quadrupole" and the "South Pacific subtropical dipole mode". Unlike the PMM, the South Pacific Meridional Mode has a more extensive influence on the Pacific Ocean than the northern PMM, by impacting the equator instead of remaining within the southern hemisphere, for example, and favouring the onset of "canonical" East Pacific El Niño events instead of Central Pacific El Niño events like PMM. This is because  the southern trade winds in the east Pacific cross the equator into the northern hemisphere and can thus "transport" the effects of the South Pacific Meridional Mode northward. Ocean dynamics in the cold tongue region may also play a role. The exact relation between SPMM and ENSO onset is still unclear. The failure of an expected El Niño event to develop in 2014 has been explained by an unfavourable state of the SPMM in that year. Apart from ENSO development, the SPMM has impacts on the Chilean Desventuradas Islands and Juan Fernandez Island according to Dewitte "et al." (2021). PMM  variations. The activity of the PMM appears to fluctuate over decadal timescales. Decadal cycles in PMM strength may be a function of two-way interactions between the tropics and the extratropics. PMM variability is not constant. Both the mean climate state—in particular the strength of the ocean surface heat flux variations caused by wind changes and the latitude of the ITCZ—and the storminess in the extratropics influence its variability. The ITCZ limits the extent of the PMM to the south, and fluctuations in the mean position of the ITCZ due to climate changes may thus impact the manifestation  of the PMM. Simulations by Sanchez "et al." (2019) found increased PMM variability both in response to volcanic eruptions, such as the 1257 Samalas eruption and in response to greenhouse gases. Decreased PMM activity during the mid-Holocene may explain the weaker ENSO variability during that time; such a decrease might have been induced by orbital forcing. Bramante "et al." (2020) found positive PMM variations during the Medieval Climate Anomaly and negative PMM during the Little Ice Age and used it to explain changes in typhoon activity at Jaluit in the Marshall Islands and in the South China Sea. There  is evidence that PMM variability has increased between 1948 and 2018 which may not (yet) necessarily be a consequence of global warming. In recent decades, the connection between the PMM and NPO has increased. Increased PMM activity between 1982 and 2015 has suppressed ENSO variance and caused it to shift westward through an increased strength of southerly winds over the South Pacific. Dima, Lohann and Rimbu (2015) proposed that the Great Salinity Anomaly in the North Atlantic after 1970 modified the Pacific climate through a positive PMM state and suggested that Heinrich events during the late Pleistocene may have caused  a similar teleconnection. A more positive Atlantic Multidecadal Oscillation state after the 1990s may increase PMM variability by strengthening the North Pacific High and, according to Park "et al." (2019), by increasing the moisture available over the Atlantic Warm Pool. Yu "et al." (2015) argued that the increased PMM variability forced by the Atlantic Multidecadal Oscillation is responsible for the increased frequency of Central Pacific El Niño events after the 1990s. PMM and anthropogenic climate change. Some climate models predict the feedback between wind and SST anomalies will increase because of anthropogenic climate change and thus PMM events will intensify , but other processes may enhance or counteract this process. Liguori and Lorenzo (2018) proposed the effect would become noticeable by 2020. Increased variance of the PMM has been used to explain the increased frequency of Central Pacific El Niño events during the few decades preceding 2020. According to Liguori and Lorenzo (2018) may explain an increase in ENSO activity until 2100, perhaps beginning with the 2014–16 El Niño event, and increased tropics-extratropics coupling. Increased PMM activity would synchronize decadal climate variations in the Pacific and increase the occurrence of marine heatwaves both in and out of the North Pacific  Ocean, with concomitant ecological impacts. Fosu, He and Liguori (2020) proposed that increasing SSTs in the Atlantic and Indian Oceans can induce a negative PMM-like response in the Pacific Ocean, delaying the onset of ocean warming there. Long "et al." (2020) simulated climate states in RCP8.5 and identified an increased occurrence of positive PMM events preceded by El Niño events. Tomas, Deser and Sun (2016) identified a positive PMM and SPMM pattern in models as a response to Arctic sea ice loss. Kim "et al." (2020) found in simulations and observations that a reduction of Arctic sea ice in  the Pacific sector of the Arctic Ocean can trigger positive PMM events through a NPO-like teleconnection, thus favouring the onset of Central Pacific El Niño events, and suggested that the increasing trend of central Pacific El Niño events may have been triggered by global warming since 1990. England "et al." (2020) described the development of positive PMM and SPMM-like SST anomalies in response to a loss of Arctic and Antarctic sea ice in the late 21st century. Name and use. Chiang and Vimont (2014) coined the name "Pacific Meridional Mode" as an analogy to the "Atlantic Meridional Mode ; both refer to the north–south structure of the SST gradients and ITCZ latitude anomalies. It is sometimes known as the North Pacific Meridional Mode" or "Tropical Pacific Meridional Mode".