熱帶印度洋海平面低頻變化及機(jī)理研究
發(fā)布時(shí)間：2018-07-15 07:06
【摘要】：本文采用衛(wèi)星高度計(jì)數(shù)據(jù)、驗(yàn)潮站數(shù)據(jù)以及海平面重構(gòu)數(shù)據(jù)較為系統(tǒng)的分析了熱帶印度洋海平面低頻變化特征；結(jié)合溫鹽、流場(chǎng)和風(fēng)場(chǎng)與海平面變化的關(guān)系，探討海平面年際變化機(jī)理。 熱帶印度洋海平面年際變化具有顯著的區(qū)域性特征，主要集中在西南熱帶印度洋和蘇門答臘-爪哇島沿岸，標(biāo)準(zhǔn)差可達(dá)8cm。西南熱帶印度洋海平面變化滯后蘇門答臘-爪哇海區(qū)3個(gè)月時(shí)，相關(guān)系數(shù)達(dá)到最大負(fù)值-0.88，印度半島沿岸和澳大利亞西部沿岸的驗(yàn)潮站海平面變化序列有很好的滯后關(guān)系。IOD（印度洋偶極子）和ENSO事件共同發(fā)生期間海平面變化較IOD事件期間更為顯著，IOD事件期間的海平面變化較ENSO事件期間強(qiáng)且范圍廣，ENSO事件期間的海平面變化則主要位于南熱帶印度洋。澳大利亞西岸海平面衛(wèi)星高度計(jì)數(shù)據(jù)、以及Fremantle驗(yàn)潮站均與ENSO指數(shù)有很好相關(guān)關(guān)系，同步相關(guān)系數(shù)超過(guò)-0.6。海平面EOF第1模態(tài)的方差貢獻(xiàn)為44%，呈東西反向變化，第2模態(tài)則主要表現(xiàn)為“三明治”結(jié)構(gòu)。 熱帶印度洋海平面存在年代際變化，主要集中在年際變化顯著的海域（西南熱帶印度洋和蘇門答臘-爪哇海區(qū)）。海平面年代際變化具有顯著的空間差異，重構(gòu)數(shù)據(jù)顯示年代際變化空間分布與年際變化相似，且與太平洋年代際振蕩（PDO）有關(guān)。52年的重構(gòu)數(shù)據(jù)第1模態(tài)的方差貢獻(xiàn)為73%，與PDO指數(shù)呈負(fù)相關(guān)，分別在1974和1994年達(dá)到年代際的極值；澳大利亞西岸驗(yàn)潮站海平面序列也與PDO密切相關(guān)，兩者的相關(guān)系數(shù)達(dá)到-0.75。 區(qū)域海平面年際變化的主要影響因素是比容效應(yīng)和大氣風(fēng)場(chǎng)強(qiáng)迫，而海洋環(huán)流與凈熱通量在局部區(qū)域也有著重要作用。大氣風(fēng)場(chǎng)通過(guò)Ekman效應(yīng)和斜壓Rossby波影響海平面變化，且區(qū)域特征顯著。洋盆尺度上，斜壓Rossby的作用明顯大于局地Ekman效應(yīng)，前者能解釋30%的海平面年際變化；僅在阿拉伯海和南熱帶印度洋中部，風(fēng)場(chǎng)強(qiáng)迫的局地Ekman效應(yīng)對(duì)海平面年際變化的影響更為顯著。IOD和ENSO事件期間的風(fēng)場(chǎng)與海平面年際變化有重要聯(lián)系，使得ENSO事件期間的海平面年際變化偏南偏弱。洋盆尺度上，比容效應(yīng)能解釋至少50%的海平面變化。主溫躍層的抬升（下沉）伴隨海水的增溫（降溫），相應(yīng)出現(xiàn)海平面的抬升（下沉），海水溫度的垂直結(jié)構(gòu)變化與海平面年際變化有很好的一致性。熱帶印度洋大部分海域海表凈熱通量引起的海平面變化與實(shí)測(cè)海平面變化呈負(fù)相關(guān)，而在阿拉伯海域熱通量有重要作用。合成分析顯示，，在西南熱帶印度洋出現(xiàn)逆時(shí)針流渦，與順時(shí)針的背景流場(chǎng)相反，IOD+ENSO事件期間最強(qiáng)，IOD事件期間次之，ENSO事件期間最弱；逆時(shí)針流場(chǎng)的存在使得在三種事件期間將會(huì)在西南熱帶印度洋產(chǎn)生海平面正異常，流場(chǎng)的輸運(yùn)對(duì)海平面變化有調(diào)整作用。印尼貫穿流與澳大利亞西岸海平面變化有密切關(guān)系。
[Abstract]:By using satellite altimeter data, tidal station data and sea-level reconstruction data, the characteristics of low frequency variation in the tropical India ocean are systematically analyzed, and the interannual variation mechanism of sea level is discussed with the relation of temperature and salt, flow field and wind field to sea level change.
The interannual variation of the sea level in the tropical India ocean has significant regional characteristics, mainly in the coastal areas of the southwest tropical India ocean and Sumatra Java. The standard deviation can reach the Sumatra Java Sea area of the southwestern tropical India ocean and the 3 months in the Sumatra Java Sea area. The correlation coefficient reaches the maximum negative value -0.88, India Peninsula coast and Australia Dali. The sea level variation sequence of the tidal station on the coast of the Western Asia has a good lag relation.IOD (India Ocean dipole) and the ENSO event, the sea level changes are more significant than that of the IOD event, and the sea level changes during the IOD event are stronger and wider than the ENSO events, and the sea level changes during the ENSO event are mainly in the South tropics. The India ocean. The sea level altimeter data of the western coast of Australia and the Fremantle tide gauge have a good correlation with the ENSO index. The variance contribution of the synchronous correlation coefficient over the EOF first mode of the -0.6. sea level is 44%, and the second mode is mainly a "sandwich" structure.
The interdecadal change of sea level in the tropical India ocean is mainly concentrated in the sea area with significant interannual variation (the India ocean and Sumatra Java Sea area in the southwest tropical region). The interdecadal variations of the sea level have significant spatial differences. The reconstructive data show that the interdecadal spatial distribution of the interdecadal variation is similar to that of the interdecadal changes in the Pacific Ocean (PDO). The variance contribution of the first mode of reconstructing data in.52 is 73%, which is negatively correlated with the PDO index, reaching the interdecadal extreme value in 1974 and 1994, respectively. The sea level sequence of the West Bank test station in Australia is also closely related to PDO, and the correlation coefficient reaches -0.75..
The main influencing factors of regional sea level interannual change are specific volume effect and atmospheric wind force, and ocean circulation and net heat flux also play an important role in local area. The atmospheric wind field affects sea level through Ekman effect and baroclinic Rossby wave, and the regional characteristics are significant. The role of baroclinic Rossby is obviously greater than local E on the scale of the ocean basin. The kman effect, the former can explain the interannual variation of 30% sea level; only in the Arabia sea and the middle of the India ocean in the southern tropics, the influence of the local Ekman effect on the interannual variation of the sea level is more significant in the period of.IOD and ENSO events and the interannual variation of the sea level during the period of the event, which makes the interannual variation of sea level during the ENSO event. On the scale of the ocean, the specific volume effect can explain at least 50% of the sea level change. The uplift (subsidence) of the main thermocline is accompanied by the temperature increase (cooling) and the elevation of the sea level (subsidence). The vertical structure change of the sea water temperature is in good agreement with the interannual variation of sea level. The sea surface net heat of most of the tropical India ocean is in the sea surface. The sea level change caused by flux has a negative correlation with the measured sea level changes, and the heat flux in the Arabia sea area has an important role. The synthetic analysis shows that the reverse clockwise flow of the India ocean in the southwest tropical region is the strongest, the IOD+ENSO event is the strongest, the ENSO event is the weakest, and the counterclockwise flow is the reverse clockwise flow. The existence of the field leads to a positive sea level anomaly in the southwest tropical India ocean during the three events. The transport of the flow field has an adjustment effect on the sea level change. The Indonesian penetration flow is closely related to the sea level change in the West Bank of Australia.
【學(xué)位授予單位】：中國(guó)海洋大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：P731.23
本文編號(hào)：2123219
[Abstract]:By using satellite altimeter data, tidal station data and sea-level reconstruction data, the characteristics of low frequency variation in the tropical India ocean are systematically analyzed, and the interannual variation mechanism of sea level is discussed with the relation of temperature and salt, flow field and wind field to sea level change.
The interannual variation of the sea level in the tropical India ocean has significant regional characteristics, mainly in the coastal areas of the southwest tropical India ocean and Sumatra Java. The standard deviation can reach the Sumatra Java Sea area of the southwestern tropical India ocean and the 3 months in the Sumatra Java Sea area. The correlation coefficient reaches the maximum negative value -0.88, India Peninsula coast and Australia Dali. The sea level variation sequence of the tidal station on the coast of the Western Asia has a good lag relation.IOD (India Ocean dipole) and the ENSO event, the sea level changes are more significant than that of the IOD event, and the sea level changes during the IOD event are stronger and wider than the ENSO events, and the sea level changes during the ENSO event are mainly in the South tropics. The India ocean. The sea level altimeter data of the western coast of Australia and the Fremantle tide gauge have a good correlation with the ENSO index. The variance contribution of the synchronous correlation coefficient over the EOF first mode of the -0.6. sea level is 44%, and the second mode is mainly a "sandwich" structure.
The interdecadal change of sea level in the tropical India ocean is mainly concentrated in the sea area with significant interannual variation (the India ocean and Sumatra Java Sea area in the southwest tropical region). The interdecadal variations of the sea level have significant spatial differences. The reconstructive data show that the interdecadal spatial distribution of the interdecadal variation is similar to that of the interdecadal changes in the Pacific Ocean (PDO). The variance contribution of the first mode of reconstructing data in.52 is 73%, which is negatively correlated with the PDO index, reaching the interdecadal extreme value in 1974 and 1994, respectively. The sea level sequence of the West Bank test station in Australia is also closely related to PDO, and the correlation coefficient reaches -0.75..
The main influencing factors of regional sea level interannual change are specific volume effect and atmospheric wind force, and ocean circulation and net heat flux also play an important role in local area. The atmospheric wind field affects sea level through Ekman effect and baroclinic Rossby wave, and the regional characteristics are significant. The role of baroclinic Rossby is obviously greater than local E on the scale of the ocean basin. The kman effect, the former can explain the interannual variation of 30% sea level; only in the Arabia sea and the middle of the India ocean in the southern tropics, the influence of the local Ekman effect on the interannual variation of the sea level is more significant in the period of.IOD and ENSO events and the interannual variation of the sea level during the period of the event, which makes the interannual variation of sea level during the ENSO event. On the scale of the ocean, the specific volume effect can explain at least 50% of the sea level change. The uplift (subsidence) of the main thermocline is accompanied by the temperature increase (cooling) and the elevation of the sea level (subsidence). The vertical structure change of the sea water temperature is in good agreement with the interannual variation of sea level. The sea surface net heat of most of the tropical India ocean is in the sea surface. The sea level change caused by flux has a negative correlation with the measured sea level changes, and the heat flux in the Arabia sea area has an important role. The synthetic analysis shows that the reverse clockwise flow of the India ocean in the southwest tropical region is the strongest, the IOD+ENSO event is the strongest, the ENSO event is the weakest, and the counterclockwise flow is the reverse clockwise flow. The existence of the field leads to a positive sea level anomaly in the southwest tropical India ocean during the three events. The transport of the flow field has an adjustment effect on the sea level change. The Indonesian penetration flow is closely related to the sea level change in the West Bank of Australia.
【學(xué)位授予單位】：中國(guó)海洋大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：P731.23
【參考文獻(xiàn)】
相關(guān)期刊論文 前3條
1 陳海英,喬方利,王永剛;大洋Rossby波動(dòng)緯向傳播速度的分布特征[J];海洋科學(xué)進(jìn)展;2003年04期
2 馮俊喬;白學(xué)志;陳永利;胡敦欣;;熱帶印度洋Rossby波的基本特征[J];海洋科學(xué)集刊;2010年00期
3 田暉,周天華,陳宗鏞;平均海面變化的一種隨機(jī)動(dòng)態(tài)預(yù)測(cè)模型[J];青島海洋大學(xué)學(xué)報(bào);1993年01期
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