远征363总结

Y. Rosenthal, A. Holbourn, D. Kulhanek, I. Aiello, T. Babila, G. Bayon, L. Beaufort, S. C. Bova, J.-H. Chun, H. Dang, A. Drury, T. Jones, P. Eichler, A.G.S. Fernando, K. Gibson, R. G. Hatfield, D. Johnson, Y. Kumagai, Tonglin Li, B. Linsley, N. Meinicke, G. Mountain, B. Opdyke, P.N. Pearson, C. R. Poole, A. Ravelo, T. Sagawa, A. Schmitt, J. B. Wurtzel, Jian Xu, Masanobu Yamamoto, Yi Ge Zhang
{"title":"远征363总结","authors":"Y. Rosenthal, A. Holbourn, D. Kulhanek, I. Aiello, T. Babila, G. Bayon, L. Beaufort, S. C. Bova, J.-H. Chun, H. Dang, A. Drury, T. Jones, P. Eichler, A.G.S. Fernando, K. Gibson, R. G. Hatfield, D. Johnson, Y. Kumagai, Tonglin Li, B. Linsley, N. Meinicke, G. Mountain, B. Opdyke, P.N. Pearson, C. R. Poole, A. Ravelo, T. Sagawa, A. Schmitt, J. B. Wurtzel, Jian Xu, Masanobu Yamamoto, Yi Ge Zhang","doi":"10.14379/IODP.PROC.363.101.2018","DOIUrl":null,"url":null,"abstract":"International Ocean Discovery Program Expedition 363 sought to document the regional expression and driving mechanisms of climate variability (e.g., temperature, precipitation, and productivity) in the Indo-Pacific Warm Pool (IPWP) as it relates to the evolution of Neogene climate on millennial, orbital, and geological timescales. To achieve our objectives, we selected sites with a wide geographical distribution and variable oceanographic and depositional settings. Nine sites were cored during Expedition 363, recovering a total of 6956 m of sediment in 875–3421 m water depth with an average recovery of 101.3% during 39.6 days of on-site operations. Two moderate sedimentation rate (~3–10 cm/ky) sites are located off northwestern Australia at the southwestern maximum extent of the IPWP and span the late Miocene to present. Seven of the nine sites are situated at the heart of the Western Pacific Warm Pool (WPWP), including two sites on the northern margin of Papua New Guinea with very high sedimentation rates (>60 cm/ky) spanning the past ~450 ky, two sites in the Manus Basin (north of Papua New Guinea) with moderate sedimentation rates (~4–14 cm/ky) recovering upper Pliocene to present sequences, and three sites with low sedimentation rates (~1–3 cm/ky) on the southern and northern Eauripik Rise spanning the early Miocene to present. The wide spatial distribution of the cores, variable accumulation rates, exceptional biostratigraphic and paleomagnetic age constraints, and mostly excellent or very good foraminifer preservation will allow us to trace the evolution of the IPWP through the Neogene at different temporal resolutions, meeting the primary objectives of Expedition 363. Specifically, the high–sedimentation rate cores off Papua New Guinea will allow us to better constrain mechanisms influencing millennial-scale variability in the WPWP, their links to high-latitude climate variability, and implications for temperature and precipitation in this region under variable mean-state climate conditions. Furthermore, the high accumulation rates offer the opportunity to study climate variability during previous warm periods at a resolution similar to that of existing studies of the Holocene. With excellent recovery, Expedition 363 sites are suitable for detailed paleoceanographic reconstructions at orbital and suborbital resolution from the middle Miocene to Pleistocene and thus will be used to refine the astronomical tuning, biostratigraphy, magnetostratigraphy, and isotope stratigraphy of hitherto poorly constrained intervals within the Neogene timescale (e.g., the late Miocene) and to reconstruct the history of the Asian-Australian monsoon and the Indonesian Throughflow on orbital and tectonic timescales. Results Y. Rosenthal et al. Expedition 363 summary from high-resolution interstitial water sampling at selected sites will be used to reconstruct density profiles of the western equatorial Pacific deep water during the Last Glacial Maximum. Additional geochemical analyses of interstitial water samples in this tectonically active region will be used to investigate volcanogenic mineral and carbonate weathering and their possible implications for the evolution of Neogene climate. Introduction The Western Pacific Warm Pool (WPWP), often defined by the 28°C isotherm, is the warmest part of the Indo-Pacific Warm Pool (IPWP), which spans the western waters of the equatorial Pacific and eastern Indian Ocean (Figure F1). The region is a major source of heat and moisture to the atmosphere and a location of deep atmospheric convection and heavy rainfall. Small perturbations in the sea-surface temperature (SST) of the WPWP influence the location and strength of convection in the rising limbs of the Hadley and Walker cells, affecting planetary-scale atmospheric circulation, atmospheric heating, and tropical hydrology (Neale and Slingo, 2003; Wang and Mehta, 2008). These perturbations may also influence heat uptake and storage in the WPWP thermocline, as well as transport to the Indian Ocean through the Indonesian Throughflow (ITF). These processes also constitute important feedbacks in the climate system due to their influence on the dynamic ocean-atmosphere coupling in the equatorial Pacific, thereby exerting a strong influence on global temperatures and atmospheric pCO2 (Oppo and Rosenthal, 2010). Detailed paleoceanographic records, such as those recovered during Expedition 363, offer the opportunity to study the behavior of the WPWP under different mean-state background conditions and its effects on both regional and global climate. Seasonal to interannual climate variations in the WPWP are dominated by fluctuations in precipitation associated with the seasonal march of the monsoons, migration of the Intertropical Convergence Zone (ITCZ), and interannual changes associated with variability of the El Niño Southern Oscillation (ENSO) (e.g., Ropelewski and Halpert, 1987; Halpert and Ropelewski, 1992; Rasmusson and Arkin, 1993) (Figure F2). At present, departures from expected weather patterns associated with the monsoon and ENSO systems impact the lives of many people in the tropics and many regions around the world. For example, El Niño events are associated with a nearly global fingerprint of temperature and precipitation anomalies (Ropelewski and Halpert, 1987; Rasmusson and Arkin, 1993; Cane and Clement, 1999). However, considerable uncertainty exists regarding the response of the tropical Pacific climate, primarily precipitation, to rising greenhouse gas concentrations because of our limited understanding of the past variability of the WPWP and conflicting results from data compared to models. For example, models simulating the response of the equatorial Pacific Ocean to greenhouse gas forcing disagree about whether the zonal temperature gradient will increase or decrease and what the implications will be for the Walker circulation and the hydrologic cycle in the tropics (Forster et al., 2007). These simulations typically use an ENSO analogy to predict future climate; in a similar way to interannual ENSO variability, long-term changes in the mean climate state of the equatorial Pacific are often evaluated primarily as changes in the east–west SST gradient. However, other simulations of global warming effects suggest that the tropical Pacific does not become more El Niñoor La Niña-like in response to increased greenhouse gases (DiNezio et al., 2009). Instead, these simulations suggest a different equilibrium state, whereby shoaling and increased tilt of the equatorial Pacific thermocline is associated with weakening of the trade winds without a concomitant change in the zonal SST pattern, which argues against using ENSO as an analog for long-term changes in tropical conditions (DiNezio et al., 2010). In turn, changes in the structure of the thermocline can have a major effect on the ocean heat content, and thus global climate, and also on the character of ENSO variability, which has been documented for the Last Glacial Maximum (LGM) (Ford et al., 2015). Changes in thermocline temperature/structure have also been suggested as a possible mechanism responsible for the slowdown in surface warming from ~2000 to 2014 (e.g., England et al., 2014). A primary goal of this expedition was to assess the regional expression of climate variability (e.g., precipitation, temperature, pCO2, and biological productivity) within the WPWP in the context Figure F1. Mean annual sea-surface temperature within the IPWP with locations of sites cored during Expedition 363 (yellow circles). Black arrows mark the path of the Indonesian Throughflow. Red arrow = Leeuwin Current. Blue arrow = South Equatorial Current. Data source: ODV World Ocean Atlas (https://odv.awi.de/en/data/ocean/world-ocean-atlas-2013).","PeriodicalId":20641,"journal":{"name":"Proceedings of the International Ocean Discovery Program","volume":"82 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Expedition 363 summary\",\"authors\":\"Y. Rosenthal, A. Holbourn, D. Kulhanek, I. Aiello, T. Babila, G. Bayon, L. Beaufort, S. C. Bova, J.-H. Chun, H. Dang, A. Drury, T. Jones, P. Eichler, A.G.S. Fernando, K. Gibson, R. G. Hatfield, D. Johnson, Y. Kumagai, Tonglin Li, B. Linsley, N. Meinicke, G. Mountain, B. Opdyke, P.N. Pearson, C. R. Poole, A. Ravelo, T. Sagawa, A. Schmitt, J. B. 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Seven of the nine sites are situated at the heart of the Western Pacific Warm Pool (WPWP), including two sites on the northern margin of Papua New Guinea with very high sedimentation rates (>60 cm/ky) spanning the past ~450 ky, two sites in the Manus Basin (north of Papua New Guinea) with moderate sedimentation rates (~4–14 cm/ky) recovering upper Pliocene to present sequences, and three sites with low sedimentation rates (~1–3 cm/ky) on the southern and northern Eauripik Rise spanning the early Miocene to present. The wide spatial distribution of the cores, variable accumulation rates, exceptional biostratigraphic and paleomagnetic age constraints, and mostly excellent or very good foraminifer preservation will allow us to trace the evolution of the IPWP through the Neogene at different temporal resolutions, meeting the primary objectives of Expedition 363. Specifically, the high–sedimentation rate cores off Papua New Guinea will allow us to better constrain mechanisms influencing millennial-scale variability in the WPWP, their links to high-latitude climate variability, and implications for temperature and precipitation in this region under variable mean-state climate conditions. Furthermore, the high accumulation rates offer the opportunity to study climate variability during previous warm periods at a resolution similar to that of existing studies of the Holocene. With excellent recovery, Expedition 363 sites are suitable for detailed paleoceanographic reconstructions at orbital and suborbital resolution from the middle Miocene to Pleistocene and thus will be used to refine the astronomical tuning, biostratigraphy, magnetostratigraphy, and isotope stratigraphy of hitherto poorly constrained intervals within the Neogene timescale (e.g., the late Miocene) and to reconstruct the history of the Asian-Australian monsoon and the Indonesian Throughflow on orbital and tectonic timescales. Results Y. Rosenthal et al. Expedition 363 summary from high-resolution interstitial water sampling at selected sites will be used to reconstruct density profiles of the western equatorial Pacific deep water during the Last Glacial Maximum. Additional geochemical analyses of interstitial water samples in this tectonically active region will be used to investigate volcanogenic mineral and carbonate weathering and their possible implications for the evolution of Neogene climate. Introduction The Western Pacific Warm Pool (WPWP), often defined by the 28°C isotherm, is the warmest part of the Indo-Pacific Warm Pool (IPWP), which spans the western waters of the equatorial Pacific and eastern Indian Ocean (Figure F1). The region is a major source of heat and moisture to the atmosphere and a location of deep atmospheric convection and heavy rainfall. Small perturbations in the sea-surface temperature (SST) of the WPWP influence the location and strength of convection in the rising limbs of the Hadley and Walker cells, affecting planetary-scale atmospheric circulation, atmospheric heating, and tropical hydrology (Neale and Slingo, 2003; Wang and Mehta, 2008). These perturbations may also influence heat uptake and storage in the WPWP thermocline, as well as transport to the Indian Ocean through the Indonesian Throughflow (ITF). These processes also constitute important feedbacks in the climate system due to their influence on the dynamic ocean-atmosphere coupling in the equatorial Pacific, thereby exerting a strong influence on global temperatures and atmospheric pCO2 (Oppo and Rosenthal, 2010). Detailed paleoceanographic records, such as those recovered during Expedition 363, offer the opportunity to study the behavior of the WPWP under different mean-state background conditions and its effects on both regional and global climate. Seasonal to interannual climate variations in the WPWP are dominated by fluctuations in precipitation associated with the seasonal march of the monsoons, migration of the Intertropical Convergence Zone (ITCZ), and interannual changes associated with variability of the El Niño Southern Oscillation (ENSO) (e.g., Ropelewski and Halpert, 1987; Halpert and Ropelewski, 1992; Rasmusson and Arkin, 1993) (Figure F2). At present, departures from expected weather patterns associated with the monsoon and ENSO systems impact the lives of many people in the tropics and many regions around the world. For example, El Niño events are associated with a nearly global fingerprint of temperature and precipitation anomalies (Ropelewski and Halpert, 1987; Rasmusson and Arkin, 1993; Cane and Clement, 1999). However, considerable uncertainty exists regarding the response of the tropical Pacific climate, primarily precipitation, to rising greenhouse gas concentrations because of our limited understanding of the past variability of the WPWP and conflicting results from data compared to models. For example, models simulating the response of the equatorial Pacific Ocean to greenhouse gas forcing disagree about whether the zonal temperature gradient will increase or decrease and what the implications will be for the Walker circulation and the hydrologic cycle in the tropics (Forster et al., 2007). These simulations typically use an ENSO analogy to predict future climate; in a similar way to interannual ENSO variability, long-term changes in the mean climate state of the equatorial Pacific are often evaluated primarily as changes in the east–west SST gradient. However, other simulations of global warming effects suggest that the tropical Pacific does not become more El Niñoor La Niña-like in response to increased greenhouse gases (DiNezio et al., 2009). Instead, these simulations suggest a different equilibrium state, whereby shoaling and increased tilt of the equatorial Pacific thermocline is associated with weakening of the trade winds without a concomitant change in the zonal SST pattern, which argues against using ENSO as an analog for long-term changes in tropical conditions (DiNezio et al., 2010). In turn, changes in the structure of the thermocline can have a major effect on the ocean heat content, and thus global climate, and also on the character of ENSO variability, which has been documented for the Last Glacial Maximum (LGM) (Ford et al., 2015). Changes in thermocline temperature/structure have also been suggested as a possible mechanism responsible for the slowdown in surface warming from ~2000 to 2014 (e.g., England et al., 2014). A primary goal of this expedition was to assess the regional expression of climate variability (e.g., precipitation, temperature, pCO2, and biological productivity) within the WPWP in the context Figure F1. Mean annual sea-surface temperature within the IPWP with locations of sites cored during Expedition 363 (yellow circles). Black arrows mark the path of the Indonesian Throughflow. Red arrow = Leeuwin Current. Blue arrow = South Equatorial Current. 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引用次数: 10

摘要

国际海洋发现计划(ippp)第363远征队试图记录印太暖池(IPWP)气候变率(如温度、降水和生产力)的区域表现和驱动机制,因为它与千年、轨道和地质时间尺度上的新近纪气候演变有关。为了实现我们的目标,我们选择了地理分布广泛、海洋和沉积环境多变的地点。363考察共采集了9个地点,在875 ~ 3421 m水深范围内共回收了6956 m沉积物,在39.6天的现场作业中平均回收率为101.3%。两个中等沉积速率(~ 3-10 cm/ky)的地点位于澳大利亚西北部,位于IPWP最大范围的西南部,跨越晚中新世至今。9个地点中有7个位于西太平洋暖池(WPWP)的中心,其中两个地点位于巴布亚新几内亚北部边缘,过去~450公里的沉积速率非常高(>60厘米/小时),两个地点位于马努斯盆地(巴布亚新几内亚北部),沉积速率中等(~ 4-14厘米/小时),从上新世恢复到现在的序列。在早中新世至今的欧瑞匹克隆起南侧和北侧3个低沉积速率遗址(~1 ~ 3 cm/ky)。广泛的岩心空间分布、多变的成藏速率、特殊的生物地层和古地磁年龄限制,以及大多数极好或非常好的有孔虫保存,将使我们能够在不同的时间分辨率下追踪IPWP在新近纪的演化,从而满足363考察的主要目标。具体来说,巴布亚新几内亚外海的高沉积速率岩心将使我们能够更好地约束影响西太平洋海温千年尺度变化的机制,它们与高纬度气候变化的联系,以及在可变的平均状态气候条件下对该地区温度和降水的影响。此外,高积累率提供了以与现有全新世研究相似的分辨率研究以前温暖期气候变率的机会。由于恢复良好,363考察站适合中新世中期至更新世期间轨道和亚轨道分辨率的详细古海洋学重建,因此将用于完善新第三纪时间尺度内迄今为止约束较差的区间的天文校正、生物地层学、磁地层学和同位素地层学。晚中新世),并在轨道和构造时间尺度上重建亚洲-澳大利亚季风和印度尼西亚通流的历史。Y. Rosenthal等。363考察队在选定地点的高分辨率间隙水采样摘要将用于重建末次盛冰期西赤道太平洋深水的密度剖面。对该构造活动区间隙水样的进一步地球化学分析将用于研究火山矿物和碳酸盐风化及其对新近纪气候演化的可能影响。西太平洋暖池(WPWP)通常由28°C等温线定义,是横跨赤道太平洋西部水域和东印度洋的印度-太平洋暖池(IPWP)中最温暖的部分(图F1)。该地区是大气热量和水分的主要来源,也是深大气对流和强降雨的地点。WPWP的海表温度(SST)的小扰动影响Hadley和Walker环流上升支对流的位置和强度,影响行星尺度的大气环流、大气加热和热带水文(Neale和Slingo, 2003;Wang and Mehta, 2008)。这些扰动也可能影响西孟加拉湾温跃层的热量吸收和储存,以及通过印度尼西亚通流(ITF)向印度洋的输送。由于这些过程对赤道太平洋海洋-大气动态耦合的影响,它们也构成了气候系统中的重要反馈,从而对全球温度和大气二氧化碳分压产生强烈影响(Oppo和Rosenthal, 2010)。详细的古海洋学记录,如363考察队期间恢复的记录,为研究WPWP在不同平均状态背景条件下的行为及其对区域和全球气候的影响提供了机会。WPWP的季节和年际气候变化主要是由与季风季节性迁移相关的降水波动、热带辐合带(ITCZ)的迁移以及与El Niño南方涛动(ENSO)变率相关的年际变化(例如。 Ropelewski和Halpert, 1987;Halpert and Ropelewski, 1992;Rasmusson and Arkin, 1993)(图F2)。目前,与季风和ENSO系统相关的预期天气模式的偏离影响着热带地区和世界许多地区许多人的生活。例如,El Niño事件与温度和降水异常的几乎全球指纹相关联(Ropelewski和Halpert, 1987;Rasmusson and Arkin, 1993;Cane and Clement, 1999)。然而,关于热带太平洋气候(主要是降水)对温室气体浓度上升的响应,存在相当大的不确定性,这是因为我们对WPWP过去变率的了解有限,而且数据与模式的结果相互矛盾。例如,模拟赤道太平洋对温室气体强迫的响应的模式在纬向温度梯度是增加还是减少以及对Walker环流和热带水文循环的影响方面存在分歧(Forster et al., 2007)。这些模拟通常使用ENSO类比来预测未来的气候;与ENSO年际变率类似,赤道太平洋平均气候状态的长期变化通常主要被评价为东西海温梯度的变化。然而,对全球变暖效应的其他模拟表明,热带太平洋不会因为温室气体的增加而变得更加El Niñoor La Niña-like (DiNezio et al., 2009)。相反,这些模拟表明了一种不同的平衡状态,即浅滩化和赤道太平洋温跃层倾斜增加与信风减弱有关,而不伴随纬向海温模式的变化,这反对使用ENSO作为热带条件长期变化的模拟(DiNezio et al., 2010)。反过来,温跃层结构的变化可以对海洋热含量产生重大影响,从而影响全球气候,也会对ENSO变率的特征产生重大影响,这在末次盛冰期(LGM)已经有记录(Ford et al., 2015)。温跃层温度/结构的变化也被认为是导致2000 ~ 2014年地表变暖减缓的可能机制(例如,England et al., 2014)。本次考察的一个主要目标是评估图F1中WPWP内气候变率的区域表达(例如,降水、温度、二氧化碳分压和生物生产力)。IPWP内的年平均海面温度,包括363次科考期间的地点(黄色圆圈)。黑色箭头标记了印尼通流的路径。红色箭头= Leeuwin Current。蓝色箭头=南赤道洋流。数据来源:ODV世界海洋地图集(https://odv.awi.de/en/data/ocean/world-ocean-atlas-2013)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expedition 363 summary
International Ocean Discovery Program Expedition 363 sought to document the regional expression and driving mechanisms of climate variability (e.g., temperature, precipitation, and productivity) in the Indo-Pacific Warm Pool (IPWP) as it relates to the evolution of Neogene climate on millennial, orbital, and geological timescales. To achieve our objectives, we selected sites with a wide geographical distribution and variable oceanographic and depositional settings. Nine sites were cored during Expedition 363, recovering a total of 6956 m of sediment in 875–3421 m water depth with an average recovery of 101.3% during 39.6 days of on-site operations. Two moderate sedimentation rate (~3–10 cm/ky) sites are located off northwestern Australia at the southwestern maximum extent of the IPWP and span the late Miocene to present. Seven of the nine sites are situated at the heart of the Western Pacific Warm Pool (WPWP), including two sites on the northern margin of Papua New Guinea with very high sedimentation rates (>60 cm/ky) spanning the past ~450 ky, two sites in the Manus Basin (north of Papua New Guinea) with moderate sedimentation rates (~4–14 cm/ky) recovering upper Pliocene to present sequences, and three sites with low sedimentation rates (~1–3 cm/ky) on the southern and northern Eauripik Rise spanning the early Miocene to present. The wide spatial distribution of the cores, variable accumulation rates, exceptional biostratigraphic and paleomagnetic age constraints, and mostly excellent or very good foraminifer preservation will allow us to trace the evolution of the IPWP through the Neogene at different temporal resolutions, meeting the primary objectives of Expedition 363. Specifically, the high–sedimentation rate cores off Papua New Guinea will allow us to better constrain mechanisms influencing millennial-scale variability in the WPWP, their links to high-latitude climate variability, and implications for temperature and precipitation in this region under variable mean-state climate conditions. Furthermore, the high accumulation rates offer the opportunity to study climate variability during previous warm periods at a resolution similar to that of existing studies of the Holocene. With excellent recovery, Expedition 363 sites are suitable for detailed paleoceanographic reconstructions at orbital and suborbital resolution from the middle Miocene to Pleistocene and thus will be used to refine the astronomical tuning, biostratigraphy, magnetostratigraphy, and isotope stratigraphy of hitherto poorly constrained intervals within the Neogene timescale (e.g., the late Miocene) and to reconstruct the history of the Asian-Australian monsoon and the Indonesian Throughflow on orbital and tectonic timescales. Results Y. Rosenthal et al. Expedition 363 summary from high-resolution interstitial water sampling at selected sites will be used to reconstruct density profiles of the western equatorial Pacific deep water during the Last Glacial Maximum. Additional geochemical analyses of interstitial water samples in this tectonically active region will be used to investigate volcanogenic mineral and carbonate weathering and their possible implications for the evolution of Neogene climate. Introduction The Western Pacific Warm Pool (WPWP), often defined by the 28°C isotherm, is the warmest part of the Indo-Pacific Warm Pool (IPWP), which spans the western waters of the equatorial Pacific and eastern Indian Ocean (Figure F1). The region is a major source of heat and moisture to the atmosphere and a location of deep atmospheric convection and heavy rainfall. Small perturbations in the sea-surface temperature (SST) of the WPWP influence the location and strength of convection in the rising limbs of the Hadley and Walker cells, affecting planetary-scale atmospheric circulation, atmospheric heating, and tropical hydrology (Neale and Slingo, 2003; Wang and Mehta, 2008). These perturbations may also influence heat uptake and storage in the WPWP thermocline, as well as transport to the Indian Ocean through the Indonesian Throughflow (ITF). These processes also constitute important feedbacks in the climate system due to their influence on the dynamic ocean-atmosphere coupling in the equatorial Pacific, thereby exerting a strong influence on global temperatures and atmospheric pCO2 (Oppo and Rosenthal, 2010). Detailed paleoceanographic records, such as those recovered during Expedition 363, offer the opportunity to study the behavior of the WPWP under different mean-state background conditions and its effects on both regional and global climate. Seasonal to interannual climate variations in the WPWP are dominated by fluctuations in precipitation associated with the seasonal march of the monsoons, migration of the Intertropical Convergence Zone (ITCZ), and interannual changes associated with variability of the El Niño Southern Oscillation (ENSO) (e.g., Ropelewski and Halpert, 1987; Halpert and Ropelewski, 1992; Rasmusson and Arkin, 1993) (Figure F2). At present, departures from expected weather patterns associated with the monsoon and ENSO systems impact the lives of many people in the tropics and many regions around the world. For example, El Niño events are associated with a nearly global fingerprint of temperature and precipitation anomalies (Ropelewski and Halpert, 1987; Rasmusson and Arkin, 1993; Cane and Clement, 1999). However, considerable uncertainty exists regarding the response of the tropical Pacific climate, primarily precipitation, to rising greenhouse gas concentrations because of our limited understanding of the past variability of the WPWP and conflicting results from data compared to models. For example, models simulating the response of the equatorial Pacific Ocean to greenhouse gas forcing disagree about whether the zonal temperature gradient will increase or decrease and what the implications will be for the Walker circulation and the hydrologic cycle in the tropics (Forster et al., 2007). These simulations typically use an ENSO analogy to predict future climate; in a similar way to interannual ENSO variability, long-term changes in the mean climate state of the equatorial Pacific are often evaluated primarily as changes in the east–west SST gradient. However, other simulations of global warming effects suggest that the tropical Pacific does not become more El Niñoor La Niña-like in response to increased greenhouse gases (DiNezio et al., 2009). Instead, these simulations suggest a different equilibrium state, whereby shoaling and increased tilt of the equatorial Pacific thermocline is associated with weakening of the trade winds without a concomitant change in the zonal SST pattern, which argues against using ENSO as an analog for long-term changes in tropical conditions (DiNezio et al., 2010). In turn, changes in the structure of the thermocline can have a major effect on the ocean heat content, and thus global climate, and also on the character of ENSO variability, which has been documented for the Last Glacial Maximum (LGM) (Ford et al., 2015). Changes in thermocline temperature/structure have also been suggested as a possible mechanism responsible for the slowdown in surface warming from ~2000 to 2014 (e.g., England et al., 2014). A primary goal of this expedition was to assess the regional expression of climate variability (e.g., precipitation, temperature, pCO2, and biological productivity) within the WPWP in the context Figure F1. Mean annual sea-surface temperature within the IPWP with locations of sites cored during Expedition 363 (yellow circles). Black arrows mark the path of the Indonesian Throughflow. Red arrow = Leeuwin Current. Blue arrow = South Equatorial Current. Data source: ODV World Ocean Atlas (https://odv.awi.de/en/data/ocean/world-ocean-atlas-2013).
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