Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 理學院
  3. 大氣科學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83829
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor黃彥婷(Yen-Ting Hwang)
dc.contributor.authorWan-Yu Wuen
dc.contributor.author吳婉瑜zh_TW
dc.date.accessioned2023-03-19T21:19:40Z-
dc.date.copyright2022-07-29
dc.date.issued2022
dc.date.submitted2022-07-27
dc.identifier.citationBellomo, K., et al. (2018). 'Historical forcings as main drivers of the Atlantic multidecadal variability in the CESM large ensemble.' Climate dynamics 50(9): 3687-3698. Bindoff, N. L., et al. (2013). 'Detection and attribution of climate change: from global to regional.' Chung, E.-S. and B. J. Soden (2017). 'Hemispheric climate shifts driven by anthropogenic aerosol–cloud interactions.' Nature Geoscience 10(8): 566-571. Chen, P.-J., 2021: Understanding the Temporal Evolution of Tropical Pacific Responses to Anthropogenic Sulfate Aerosol Emission. National Taiwan University, M.S. thesis, 90 pp. doi:10.6342/NTU202104022 Clement, A. C., et al. (1996). 'An ocean dynamical thermostat.' Journal of climate 9(9): 2190-2196. Ceppi, P., et al. (2018). 'Fast and slow components of the extratropical atmospheric circulation response to CO 2 forcing.' Journal of climate 31(3): 1091-1105. Coats, S. and K. Karnauskas (2017). Global warming and tropical Pacific sea surface temperature: Why models and observations do not agree. EGU General Assembly Conference Abstracts. Deser, C., et al. (2020). 'Isolating the evolving contributions of anthropogenic aerosols and greenhouse gases: a new CESM1 large ensemble community resource.' Journal of climate 33(18): 7835-7858. Deser, C., et al. (2016). 'Forced and internal components of winter air temperature trends over North America during the past 50 years: Mechanisms and implications.' Journal of climate 29(6): 2237-2258. Feng, J., et al. (2016). 'Contrasting responses of the Hadley circulation to equatorially asymmetric and symmetric meridional sea surface temperature structures.' Journal of climate 29(24): 8949-8963. Frierson, D. M. and Y.-T. Hwang (2012). 'Extratropical influence on ITCZ shifts in slab ocean simulations of global warming.' Journal of climate 25(2): 720-733. Frierson, D. M., et al. (2007). 'Width of the Hadley cell in simple and comprehensive general circulation models.' Geophysical Research Letters 34(18). Hawkins, E., et al. (2020). 'Observed emergence of the climate change signal: from the familiar to the unknown.' Geophysical Research Letters 47(6): e2019GL086259. Hawkins, E. and R. Sutton (2012). 'Time of emergence of climate signals.' Geophysical Research Letters 39(1). Heede, U. K. and A. V. Fedorov (2021). 'Eastern equatorial Pacific warming delayed by aerosols and thermostat response to CO2 increase.' Nature Climate Change 11(8): 696-703. Heede, U. K., et al. (2020). 'Time scales and mechanisms for the tropical Pacific response to global warming: A tug of war between the ocean thermostat and weaker walker.' Journal of climate 33(14): 6101-6118. Held, I. M. (1993). 'Large-scale dynamics and global warming.' Bulletin of the American Meteorological Society 74(2): 228-242. Held, I. M. and B. J. Soden (2006). 'Robust responses of the hydrological cycle to global warming.' Journal of climate 19(21): 5686-5699. Held, I. M., et al. (2010). 'Probing the fast and slow components of global warming by returning abruptly to preindustrial forcing.' Journal of climate 23(9): 2418-2427. Hu, Y., et al. (2018). 'Widening and weakening of the Hadley circulation under global warming.' Science Bulletin 63(10): 640-644. Hsiao, W. T., et al. (2022). 'The Role of Clouds in Shaping Tropical Pacific Response Pattern to Extratropical Thermal Forcing.' Geophysical Research Letters: e2022GL098023. Hwang, Y. T., et al. (2013). 'Anthropogenic sulfate aerosol and the southward shift of tropical precipitation in the late 20th century.' Geophysical Research Letters 40(11): 2845-2850. Hwang, Y. T., et al. (2017). 'Connecting tropical climate change with Southern Ocean heat uptake.' Geophysical Research Letters 44(18): 9449-9457. Kang, S. M., et al. (2018). 'Contrasting tropical climate response pattern to localized thermal forcing over different ocean basins.' Geophysical Research Letters 45(22): 12,544-512,552. Kang, S. M., et al. (2020). 'Walker circulation response to extratropical radiative forcing.' Science advances 6(47): eabd3021. Kang, S. M., et al. (2021). 'Zonal mean and shift modes of historical climate response to evolving aerosol distribution.' Science Bulletin 66(23): 2405-2411. Kay, J. E., et al. (2015). 'The Community Earth System Model (CESM) large ensemble project: A community resource for studying climate change in the presence of internal climate variability.' Bulletin of the American Meteorological Society 96(8): 1333-1349. Lau, W. K. and K.-M. Kim (2015). 'Robust Hadley circulation changes and increasing global dryness due to CO2 warming from CMIP5 model projections.' Proceedings of the National Academy of Sciences 112(12): 3630-3635. Liu, Z., et al. (2005). 'Rethinking tropical ocean response to global warming: The enhanced equatorial warming.' Journal of climate 18(22): 4684-4700. Lu, J., et al. (2007). 'Expansion of the Hadley cell under global warming.' Geophysical Research Letters 34(6). Luo, Y., et al. (2017). 'The role of ocean dynamical thermostat in delaying the El Ni?o–like response over the equatorial Pacific to climate warming.' Journal of climate 30(8): 2811-2827. Ma, J. and S.-P. Xie (2013). 'Regional patterns of sea surface temperature change: A source of uncertainty in future projections of precipitation and atmospheric circulation.' Journal of climate 26(8): 2482-2501. Ma, J., et al. (2012). 'Mechanisms for tropical tropospheric circulation change in response to global warming.' Journal of climate 25(8): 2979-2994. Mora, C., et al. (2013). 'The projected timing of climate departure from recent variability.' Nature 502(7470): 183-187. Seo, J., et al. (2017). 'A model intercomparison of the tropical precipitation response to a CO2 doubling in aquaplanet simulations.' Geophysical Research Letters 44(2): 993-1000. Solomon, A. and M. Newman (2012). 'Reconciling disparate twentieth-century Indo-Pacific ocean temperature trends in the instrumental record.' Nature Climate Change 2(9): 691-699. Tomas, R. A., et al. (2016). 'The role of ocean heat transport in the global climate response to projected Arctic sea ice loss.' Journal of climate 29(19): 6841-6859. Vallis, G. K., et al. (2015). 'Response of the large?scale structure of the atmosphere to global warming.' Quarterly Journal of the Royal Meteorological Society 141(690): 1479-1501. Vecchi, G. A. and B. J. Soden (2007). 'Global warming and the weakening of the tropical circulation.' Journal of climate 20(17): 4316-4340. Vecchi, G. A., et al. (2006). 'Weakening of tropical Pacific atmospheric circulation due to anthropogenic forcing.' Nature 441(7089): 73-76. Wang, H., et al. (2016). 'Detecting cross?equatorial wind change as a fingerprint of climate response to anthropogenic aerosol forcing.' Geophysical Research Letters 43(7): 3444-3450. Wang, K., et al. (2018). 'Fast response of the tropics to an abrupt loss of Arctic sea ice via ocean dynamics.' Geophysical Research Letters 45(9): 4264-4272. Watanabe, M., et al. (2013). 'Strengthening of ocean heat uptake efficiency associated with the recent climate hiatus.' Geophysical Research Letters 40(12): 3175-3179. Xia, Y., et al. (2020). 'Comparison of trends in the Hadley circulation between CMIP6 and CMIP5.' Science Bulletin 65(19): 1667-1674. Xie, S.-P., et al. (2010). 'Global warming pattern formation: Sea surface temperature and rainfall.' Journal of climate 23(4): 966-986.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83829-
dc.description.abstract在人為氣候變遷下,哈德里環流(Hadley Circulation)將有各種方面的改變,包括間熱帶輻合區(Intertropical Convergence Zone)的位置,副熱帶沙漠的邊界,以及相關能量、水氣及動量的傳輸。在本研究中,我們藉由CESM LENS來研究哈德里環流結構變化的暫態反應演變。並透過使用「固定單一強迫項」的情境模擬量化溫室氣體和人為氣溶膠對環流改變造成的貢獻。 在 CESM LENS模擬中,從哈德里胞的結構化中可以區分出三個不同的距平環流結構的時期。第一,在20世紀後期,哈德里環流主要被人為氣溶膠主導,產生了一個順鐘向的跨赤道環流距平。這個跨赤道環流距平的發生被限制在深對流區域並可以被能量觀點的理論機制解釋。第二,在21世紀初,隨著人為氣溶膠減少以及溫室氣體增加,兩者對哈德里胞結構的改變互相競爭因此對哈德里胞的結構影響很小。第三,21世紀中葉以後,我們發現深熱帶的上升運動增強、位於南北緯5到20度的環流強度減弱,且哈德里胞的邊界擴張。而這三個由溫室氣體增加所造成的環流結構變化可被海溫結構變化解釋。 在這段兩種強迫項競爭的時期,也就是21世紀上半葉,凸顯了在當前的觀測紀錄中探測和理解強迫反應的挑戰。在2000年以後,全球均溫的上升開始變得顯著,根據對哈德里胞結構變化的理解,我們理應觀察到某些哈德里胞的結構變化:像是哈德里胞減弱、哈德里胞擴張以及深對流區的上升運動增強。然而,在模式中,我們發現這些結構變化被偵測到的時間卻因為受到氣溶膠使赤道東太平洋海溫產生冷卻趨勢的影響而被延後。也就是說,這個由氣溶膠造成的海溫冷卻趨勢在這個競爭階段相當重要。 氣溶膠對赤道太平洋海表溫度的影響可以分為快和慢兩種反應。在快速的反應中,海表溫度反應主要是透過地表海氣交互作用的過程形成,包含風—蒸發—海表溫度反饋作用(WES feedback)和風力驅動的艾克曼抽吸(Ekman pumping)。透過這些過程,在21世紀初期氣溶膠減少造成東南太平洋的冷卻,並延伸到赤道地區。在較緩慢的反應中,海表溫度的反應則和海洋副熱帶環流(Subtropical Cell)有關並造成了赤道海洋次表層的延遲冷卻。藉由這些過程,赤道海表溫度的冷卻將在2030年達到高峰,比起氣溶膠排放量達高峰的1980年代有很長時間的延遲。 藉由CESM LENS,我們了解到哈德里胞對人為強迫的反應相當複雜。溫室氣體和氣溶膠因為其各自的時間以及空間分布而在此扮演不同角色,而這需要更進一步地去探討。zh_TW
dc.description.abstractVarious aspects of Hadley Circulation are expected to vary under anthropogenic climate change, including the position of the intertropical convergence zone, the boundary of the subtropical desert, and the associated energy, moisture, and momentum transports. In this study, we investigate the transient evolution of the structural changes in Hadley Circulation in the Community Earth System Model Large Ensemble (CESM LENS). Using the companion “all-but-one-forcing” scenarios, the relative contribution of greenhouse gases and anthropogenic aerosol-induced circulation changes are quantified. In the CESM LENS simulations, three periods of distinct anomalous circulation structures are identified. (1) During the late 20th century, the Hadley circulation is mainly affected by anthropogenic aerosols, which causes the anomalous clockwise cross-equator cell. The cross-equator cell concentrates in the deep tropics and could be interpreted by the energetic framework. (2) During the early 21st century, as aerosols emission decreases and greenhouse gas emission increases, their effects on the Hadley Cell structures are competing and the resulted changes are small. (3) After the mid-21st century, we find the upward motion in the deep tropics strengthens, the maximums of overturning circulation in the subtropics weaken, and the poleward boundaries of the Hadley Cell expand. These three greenhouse-gas-induced structural changes could be understood via the sea surface temperature patterns. The competing period, the first half of the 21st century, highlights the challenges of detecting and understanding the forced response in the current observational records. The global mean temperature increases become significant after 2000, following the understanding of the Hadley Cell changes, the Hadley Cell structural change such as the Hadley Cell weakening, the Hadley Cell expansion, and the upward motion strengthening in the deep tropics should be seen. However, in the simulation, we find that the time of emergence of these Hadley Cell changes is delayed because of the effect of aerosols: the aerosols cause the SST cooling trend in the equatorial eastern Pacific. That is to say, this cooling trend caused by the aerosols is important in the competing period. The aerosols influence on the equatorial Pacific sea surface temperature consists of fast and slow components. For the fast component, the SST response is mainly established by the surface air-sea interaction process including the wind-evaporation-sea surface temperature feedback and the wind-driven Ekman pumping. Through these processes, the aerosols recovery at the beginning of the 21st century leads to cooling in the southeast Pacific that extends to the equatorial region. For the slow component, the sea surface temperature response is associated with changes in subtropical cells, which leads to a delayed cooling response in the equatorial subsurface. Through this process, the equatorial sea surface temperature cooling is expected to peak in 2030, much later than the peak of aerosols emissions in the 1980s. Using CESM LENS, we reveal the Hadley Cell responses to anthropogenic forcings are complex. The GHG and aerosols forcings both play a role, each consists of distinct temporal and spatial characteristics that require further investigations.en
dc.description.provenanceMade available in DSpace on 2023-03-19T21:19:40Z (GMT). No. of bitstreams: 1
U0001-2707202215103800.pdf: 18683214 bytes, checksum: 60efe63a85fae81d9db1c6ab58a457f2 (MD5)
Previous issue date: 2022
en
dc.description.tableofcontentsContents 口試委員會審定書 i 誌謝 ii 摘要 iii Abstract v Contents 1 Figure Captions 4 Chapter1 Introduction 12 1.1 The Structural Changes of the HC under Global Warming 12 1.2 The Structural Changes of the HC Caused by Aerosol Emissions 14 1.3 The Structural Changes Considering Aerosols and Greenhouse Gases at the Same Time 14 Chapter2 Methodology 17 2.1 Data 17 2.1.1 CESM LENS 17 2.1.2 Idealized Experiment 18 2.2 Atmospheric Mass Stream Function 19 2.3 Circulation Indices 19 2.3.1 Symmetric and Asymmetric Components of the HC 19 2.4 Temperature Indices 20 2.4.1 Interhemispheric Temperature Gradient 20 2.4.2 The Equatorial Enhanced Response (EER) 20 2.5 Energy Budget 21 2.5.1 Atmospheric Cross Equator Energy Transport 21 2.6 Time of Emergence 21 Chapter3 Result 23 3.1 Part 1: The Structural Changes of Tropical Circulations under Anthropogenic Climate Change 23 3.1.1 Asymmetric Component of the HC 24 3.1.2 Symmetric Component of the HC 26 3.1.3 Competing Stage Between Aerosols and Greenhouse Gases 28 3.1.4 Influence of Aerosols and Greenhouses Gases on the HC During Competing Stage 29 3.2 Part 2: Multi-timescale Responses of Tropical Climate to Anthropogenic Aerosol Forcing 31 3.2.1 Using the Idealized Experiment to Identify the Two Timescale Responses in CESM LENS 33 3.2.2 The Formation Mechanisms of the Fast and Slow Responses 35 3.2.3 Tropical Ocean Responses to Aerosols 38 3.3 Part 3: The Influence of Aerosols in the Near Future Projections in CESM LENS All Forcing Experiment 40 Chapter4 Conclusion and Discussion 43 4.1 Part 1: The Structural Changes of the Tropical Circulations under Anthropogenic Climate Change 43 4.2 Part 2: Multi-timescale Responses of Tropical Climate to Anthropogenic Aerosol Forcing 45 4.3 Part 3: The Influence of Aerosols in the Near Future Projections in CESM LENS All Forcing Experiment 46 4.4 Discussion 47 References 50 Figures 57 Appendices 76 Figure Captions Figure 3. 1 Climatological zonally averaged mass stream function (left) and the 11-year running mean anomalous mass stream function at 500hPa (kg/s) (right) in ALL (top), AER (middle), and GHG (bottom), respectively. Stippling denotes where the signals are statistically significant at the 95% confidence level. 57 Figure 3. 2 Atmospheric meridional overturning mass stream function anomalies (shading, kg/s) in 1970-1990 (left column), 2010-2030 (middle column) and 2050-2070 (right column). Black contours show the climatological mass stream (contour interval of 2 × 1010 kg/s) in ALL (top row), AER (middle row), and GHG (bottom row), respectively. Stippling denotes where the signals are statistically significant at the 95% confidence level. 58 Figure 3. 3 The anomalous (a) asymmetric component of the HC (kg/s), (b) Interhemispheric temperature gradient between 0-10S and 0–10N (degC), and (c) cross equator energy flux (PW) in ALL (grey), AER (blue), and GHG (red). Solid lines are the 11-year running averaged ensemble mean, and shading represents one standard deviation of 11-year running averaged ensemble spread. 59 Figure 3. 4 The anomalous (a) symmetric component of the HC (kg/s) and (b) EER index (K) in ALL (grey), AER (blue), and GHG (red). Solid lines are 11-year running averaged ensemble mean, and shading represents one standard deviation of 11-year running averaged ensemble spread. 60 Figure 3. 5 The pattern correlations of 11-year running averaged (a) HC and (b) tropical Pacific SST between ALL and AER (Purple lines) and ALL and GHG (Green lines). 61 Figure 3. 6 Time of emergence of the anomalous HC asymmetric component (top row), the anomalous interhemispheric temperature gradient (middle row), and the anomalous cross-equator energy flux (bottom row). In the left column, shading represents one standard deviation of 7-year running means in AER (blue) and ALL (grey), solid lines are 11-year running averaged ensemble mean in each experiment, and horizontal lines indicated the interval of one and two standard deviations of a 7-year running mean from 1920-1940 in each experiment. In the right column, red lines are 11-year running averaged ensemble mean in GHG, red shading represents one standard deviation of a 7-year running mean in GHG, and green lines indicate one and two standard deviations of a 7-year running mean from 1920-1940 in GHG. 62 Figure 3. 7 Time of emergence of the anomalous HC symmetric component (top row), the anomalous EER index (middle row), and the averaged SST anomalies in 130W-85W (bottom row). In the left column, shading represents one standard deviation of 7-year running means in GHG (red) and ALL (grey), solid lines are 11-year running averaged ensemble mean in each experiment, and horizontal lines indicated the interval of one and two standard deviations of a 7-year running mean from 1920-1940 in each experiment. In the right column, blue lines are 11-year running averaged ensemble mean in AER, blue shading represents one standard deviation of a 7-year running mean in AER, and green lines indicate one and two standard deviations of a 7-year running mean from 1920-1940 in AER. 64 Figure 3. 8 In the top panel, anomalous clear-sky shortwave radiation (red, W/m2) and the anomalous SST indices (degC) in Eastern Pacific (130W-85W) with 11-year running mean. The EER index (black), the southeast (15S-5S, 130W-85W) Pacific SST (blue), the northeast (5N-15N, 130W-85W) Pacific SST (orange), the equatorial (5S-5N, 130W,85W) Pacific SST (green). In the bottom panel, anomalous SST (degC) averaged over eastern Pacific (130W-85W) with an 11-yr running mean. 66 Figure 3. 9 Time evolution of the vertical structure anomalies of ocean temperature (degC) in AER in tropical Pacific (5S-5N) smoothed with 11-yr running mean. (a) Tropical Pacific: 150E-100W, (b) central Pacific: 180-150W, (c) western Pacific: 120E-150E, and (d) eastern Pacific: 155W-80W. 67 Figure 3. 10 Pacific SST trend in ideal exp. Shadings are SST (degC), green contours are positive surface flux and purple contours are negative surface flux (contour interval of 5 Wm-2), and vectors are wind speed (N/m2). Stippling denotes where the signals are statistically significant at the 95% confidence level. 68 Figure 3. 11 Pacific SST trend in AER. Shadings are SST (degC), green contours are positive surface flux and purple contours are negative surface flux (contour interval of 5 Wm-2), and vectors are wind speed (N/m2). Stippling denotes where the signals are statistically significant at the 95% confidence level. 69 Figure 3. 12 The top panel is the SST pattern of the 1st stage response to aerosol. The SST pattern is calculated by averaging the 1st stage response of the aerosol increases and the aerosol decline (Shading, degC). The middle panel is the SST pattern of the 2nd stage response to aerosol. The SST pattern is calculated by averaging the 2nd stage response of the aerosol increases and the aerosol decline (Shading, (degC)). The bottom panel is the pattern correlation between the 21-year running trend of the 5-year running means in AER in CESM LE and the 1st stage response and the 2nd stage response in the idealized experiment. 70 Figure 3. 13 Contribution of surface fluxes and the tendency term in the eastern Pacific: Eastern Pacific SST (Solid bar) and Eastern Pacific surface flux (Hollow, downward positive). The region of the eastern Pacific is 130W-85W, northern, equatorial and southern are 5-15N, 5S-5N, and 15S-5S, respectively. 71 Figure 3. 14 Vertical structure of the ocean temperature trend in the tropical Pacific (shading, degC) in AER. Black contours are climatological isotherm and the purple lines represent thermocline in each period. The left column is the vertical structure in the idealized experiment and the right is in CESM LENS. 72 Figure 3. 15 The ocean temperature anomalies (degC) averaged over the tropical Pacific (150E-100W) response to AER smoothed with 11-yr running mean. (a), (b) and (c) are 5-50m, 100-200m and 300-400m, respectively. Contours are aerosol emissions (pink, molecules/cm/s) and the clear-sky shortwave (W/m2). 73 Figure 3. 16 Ocean temperature (degC) response to AER at 50m (bright green line), 100m (dark green line), 200m (bright blue line) and 400m (dark blue line). Red lines represent global aerosol emission (molecules/cm2/s). (a) and (b) are in the mid-latitude (45N-55N) and near equator region (5S-5N), respectively. 74 Figure 3. 17 SST anomalies related to the tropical region in AER (left column), ALL (middle column), and GHG (right column). Climatology: 1940-2000. 75 Figure A. 1 Time of emergence of the anomalous HC northern boundary (top row) and southern boundary (bottom row) in ALL (left column), GHG (middle column), and AER (right column). Shadings represent one standard deviation of 7-year running mean in ALL (grey), GHG (red), and AER (blue), solid lines are 11-year running averaged ensemble mean in each experiment. In each experiment, green lines indicate one and two standard deviations of a 7-year running mean from 1920-1940. 76 Figure A. 2 Time of emergence of the anomalous strength of northern HC (top row) and southern HC (bottom row) in ALL (left column), GHG (middle column), and AER (right column). Shadings represent one standard deviation of 7-year running mean in ALL (grey), GHG (red), and AER (blue), solid lines are 11-year running averaged ensemble mean in each experiment. In each experiment, green lines indicate one and two standard deviations of a 7-year running mean from 1920-1940. The strength is defined as the maximum mass stream function at 500hPa. 77 Figure A. 3 Pacific SST trend in ALL-GHG. Shadings are SST (degC) and stippling denotes where the signals are statistically significant at the 95% confidence level. 78 Figure A. 4 Ocean temperature (degC) averaged over the tropical Pacific (150E-100W) response to AER smoothed with an 11-yr running mean. (a), (b) and (c) are 5-50m, 100-200m and 300-400m, respectively. Contours are wind stress curl (m/s2). 79 Figure A. 5 Aerosol emission (top, molecules/cm3/m), shortwave in clear sky in AER (middle, W/m2), and shortwave cloud radiative forcing (bottom, W/m2) in 1980-1990 (left) and 2020-2030 (right). 80 Figure A. 6 Spatial pattern of Pacific SST trend in the idealized experiment with aerosol forces in 2020 (shading, degC). 81 Figure A. 7 Anomalous mass stream function at 500hPa (kg/s) with the 11-year running mean in ERA-Interim. 82 Figure A. 8 The anomalous (a) asymmetric component of the HC (kg/s), (b) interhemispheric temperature gradient between 0-10S and 0–10N (degC) in ALL (grey) and ERA-Interim (green). Solid lines are 11-year running averaged ensemble means, and shadings are one standard deviation of 11-year running averaged ensemble spread. 83 Figure A. 9 The anomalous (a) symmetric component of the HC (kg/s), (b) EER index (degC) in ALL (grey) and ERA-Interim (green). Solid lines are 11-year running averaged ensemble means, and shadings are one standard deviation of 11-year running averaged ensemble spread. 84
dc.language.isoen
dc.subject海洋對氣溶膠的反應zh_TW
dc.subject哈德里環流zh_TW
dc.subject人為氣候變遷zh_TW
dc.subjectHadley circulationsen
dc.subjectanthropogenic climate changeen
dc.subjectoceanic response to aerosolsen
dc.title熱帶環流結構變化在過去及近未來的氣候發展及預測:人為氣膠及溫室氣體彼此間的影響zh_TW
dc.titleStructural Changes of Tropical Circulations in the Historical and Near-future Climate Projections: The Interplay Between Anthropogenic Aerosols and Greenhouse Gases Emissionsen
dc.typeThesis
dc.date.schoolyear110-2
dc.description.degree碩士
dc.contributor.oralexamcommittee羅敏輝(Min-Hui Lo),梁禹喬(Yu-Chiao Liang),曾于恆(Yu-Heng Tseng)
dc.subject.keyword哈德里環流,人為氣候變遷,海洋對氣溶膠的反應,zh_TW
dc.subject.keywordHadley circulations,anthropogenic climate change,oceanic response to aerosols,en
dc.relation.page84
dc.identifier.doi10.6342/NTU202201782
dc.rights.note未授權
dc.date.accepted2022-07-28
dc.contributor.author-college理學院zh_TW
dc.contributor.author-dept大氣科學研究所zh_TW
顯示於系所單位:大氣科學系

文件中的檔案:
檔案 大小格式 
U0001-2707202215103800.pdf
  未授權公開取用
18.25 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved