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  • 1
    Keywords: Ocean-atmosphere interaction ; Tropics Climate ; Ocean-atmosphere interaction
    Type of Medium: Book
    Pages: xvii, 307 Seiten , 24 cm
    ISBN: 9780128181560 , 0128181567
    DDC: 551.5246
    RVK:
    Language: English
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  • 2
    Keywords: Tropics-Climate. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (327 pages)
    Edition: 1st ed.
    ISBN: 9780128181577
    DDC: 551.5/246
    Language: English
    Note: Front Cover -- Tropical and Extratropical Air-Sea Interactions -- Copyright Page -- Contents -- List of Contributors -- Foreword -- Preface -- 1 Introduction to atmosphere and ocean variability and air-sea interactions -- 1.1 Introduction -- 1.2 Atmospheric heat budget -- 1.3 Atmosphere and ocean circulations -- 1.4 Ocean circulation, upwelling, and climate variations -- 1.5 Summary -- References -- 2 Impact of atmosphere-ocean interactions on propagation and initiation of boreal winter and summer intraseasonal oscillations -- 2.1 Introduction -- 2.2 Observed characteristics of tropical intraseasonal oscillation and intraseasonal sea surface temperature anomaly -- 2.2.1 Observed intraseasonal oscillation-sea surface temperature anomaly relationship -- 2.2.2 Cause of the intraseasonal sea surface temperature anomaly -- 2.3 Impact of air-sea interaction on tropical intraseasonal oscillation -- 2.3.1 Role of air-sea interaction in affecting overall intraseasonal oscillation variance -- 2.3.2 Impact of air-sea interaction on intraseasonal oscillation propagation -- 2.3.2.1 Impact on eastward propagation in boreal winter -- 2.3.2.2 Impact on northward propagation in boreal summer -- 2.3.3 Role of ocean feedback in Madden-Julian oscillation initiation -- 2.3.4 Theoretical air-sea interaction frameworks on intraseasonal timescale selection -- 2.4 Summary and concluding remark -- Acknowledgments -- References -- 3 Air-sea interaction in tropical Pacific: The dynamics of El Niño/Southern Oscillation -- 3.1 Introduction -- 3.2 El Niño/Southern Oscillation theory -- 3.2.1 Sporadic mode -- 3.2.2 Oscillatory mode -- 3.2.3 Asymmetry -- 3.3 Diversity and flavors -- 3.4 Teleconnection -- 3.5 Predictability -- 3.6 Decadal and future climate -- 3.7 Summary -- Acknowledgments -- References -- 4 The El Niño Modoki -- 4.1 What El Niño Modoki is? -- 4.2 Debate. , 4.3 Distinctions and nonlinearities -- 4.4 Teleconnections -- 4.5 Climate change -- 4.6 Summary -- Acknowledgment -- References -- 5 Air-sea interactions in tropical Indian Ocean: The Indian Ocean Dipole -- 5.1 Introduction -- 5.2 Indian Ocean Dipole as a phenomenon: the unique event of 2019 -- 5.3 Indian Ocean Dipole and Indian summer monsoon rainfall -- 5.4 Indian Ocean Dipole interactions with ENSO and ENSO Modoki -- 5.5 Other teleconnections -- 5.6 Indian Ocean Dipole predictions -- 5.7 Indian Ocean Dipole in future climate -- 5.8 Summary -- Acknowledgment -- References -- 6 The Indo-western Pacific Ocean capacitor effect -- 6.1 Introduction -- 6.2 Mechanism and predictability -- 6.2.1 The wind-evaporation-sea surface temperature feedback in the tropical western North Pacific -- 6.2.2 The Indian Ocean capacitor -- 6.2.2.1 Persistent Indian Ocean warming -- 6.2.2.2 The Kelvin wave-induced surface Ekman divergence -- 6.2.3 The Indo-western Pacific Ocean capacitor mode -- 6.2.4 Seasonal predictions -- 6.3 Climate impacts -- 6.3.1 The Pacific-Japan pattern -- 6.3.2 Extremes in Southeast and East Asia -- 6.3.2.1 Heat waves -- 6.3.2.2 Heavy rains -- 6.3.2.3 Tropical cyclones -- 6.3.3 South Asia -- 6.4 Long-term modulations -- 6.4.1 Historical changes -- 6.4.2 Future changes -- 6.5 Summary -- Acknowledgment -- References -- 7 The Atlantic zonal mode: Dynamics, thermodynamics, and teleconnections -- 7.1 Introduction -- 7.2 Data description and definition -- 7.3 Climatological annual cycle of the equatorial Atlantic -- 7.4 Dynamical and thermodynamical elements of equatorial Atlantic variability -- 7.4.1 Introduction -- 7.4.2 Composite evolution of the Atlantic zonal mode -- 7.4.3 Phase locking -- 7.4.4 Negative Atlantic zonal mode events-symmetry -- 7.4.5 Atlantic Niño II -- 7.4.6 Noncanonical Atlantic zonal mode events. , 7.4.7 Thermodynamic Atlantic zonal mode -- 7.4.8 Initiation of Atlantic zonal mode events -- 7.5 Linkage to tropical Atlantic variability -- 7.5.1 Link to the meridional mode -- 7.5.2 Link to the Benguela Niño -- 7.6 Relations of equatorial Atlantic variability to terrestrial precipitation and remote basins -- 7.6.1 Impact on tropical precipitation -- 7.6.2 Impact of the Atlantic zonal mode on El Niño-Southern Oscillation -- 7.6.3 Impact of El Niño-Southern Oscillation on the Atlantic zonal mode -- 7.7 Representation of equatorial Atlantic variability in global climate models -- 7.7.1 Mean state biases -- 7.7.2 Errors in the simulated variability -- 7.8 Prediction of equatorial Atlantic variability -- 7.9 Low-frequency modulation of equatorial Atlantic variability and the impact of climate change -- 7.10 Summary and open questions -- 7.10.1 Summary -- 7.10.2 Open questions -- 7.10.2.1 What maintains the equatorial surface easterlies in boreal spring? -- 7.10.2.2 What is the role of atmospheric vertical momentum transport in interannual variability? -- 7.10.2.3 What is the cause of the asymmetric relation between equatorial surface zonal winds and Atlantic intertropical con... -- 7.10.2.4 What causes the inconsistent influence of El Niño-Southern Oscillation on the Atlantic zonal mode? -- 7.10.2.5 To what extent does equatorial Atlantic variability contribute to the development of El Niño-Southern Oscillation ... -- 7.10.2.6 What are the theoretical limits of Atlantic zonal mode predictability? -- 7.10.2.7 What is the role of global climate model mean state biases in the tropical Atlantic on basin interaction and globa... -- 7.10.3 Ways forward -- Acknowledgment -- References -- 8 The Ningaloo Niño/Niña: Mechanisms, relation with other climate modes and impacts -- 8.1 Introduction -- 8.2 Mechanisms -- 8.2.1 Remote oceanic forcing. , 8.2.2 Remote atmospheric forcing -- 8.2.3 Local ocean-atmosphere coupled feedback -- 8.2.4 Thermodynamics -- 8.3 Relations with other climate modes -- 8.4 Impacts -- 8.5 Conclusion -- Acknowledgment -- References -- 9 Interannual-to-decadal variability and predictability in South Atlantic and Southern Indian Oceans -- 9.1 South Atlantic and Indian Ocean subtropical dipoles -- 9.2 Predictability of the subtropical dipoles -- 9.3 Decadal variability over the South Atlantic and Southern Indian Oceans -- 9.4 Predictability of the South Atlantic and Indian Ocean decadal variability -- 9.5 Summary -- References -- 10 The other coastal Niño/Niña-the Benguela, California, and Dakar Niños/Niñas -- 10.1 Introduction -- 10.2 The upwelling regions and their variability -- 10.2.1 Benguela system -- 10.2.2 Baja California system -- 10.2.3 Dakar system -- 10.3 Representation of coastal Niños in climate models -- 10.4 Future of the upwelling regions -- 10.5 Summary and outlook -- Acknowledgment -- References -- 11 Impacts of strong warm ocean currents on development of extratropical cyclones through the warm and cold conveyor belts:... -- 11.1 Introduction -- 11.2 Role of warm currents in the maintenance of baroclinicity -- 11.3 Role of moisture and heat supply from warm currents in cyclone development -- 11.4 The Kuroshio and Kuroshio Extension, and their variability -- 11.5 Summary and conclusion -- 11.5.1 Summary -- 11.5.2 Open questions -- 11.5.3 Conclusion -- Acknowledgment -- References -- Useful resources -- Index -- Back Cover.
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  • 3
    Keywords: Indopazifik ; Klimavariation ; Wettervorhersage
    Type of Medium: Book
    Pages: x, 312 pages , 27 cm
    Series Statement: World Scientific Series on Asia-Pacific weather and climate 7
    Language: English
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  • 4
    Publication Date: 2020-11-25
    Description: Purpose of Review Subtropical highs are an important component of the climate system with clear implications on the local climate regimes of the subtropical regions. In a climate change perspective, understanding and predicting subtropical highs and related climate is crucial to local societies for climate mitigation and adaptation strategies. We review the current understanding of the subtropical highs in the framework of climate change. Recent Findings Projected changes of subtropical highs are not uniform. Intensification, weakening, and shifts may largely differ in the two hemispheres but may also change across different ocean basins. For some regions, large inter-model spread representation of subtropical highs and related dynamics is largely responsible for the uncertainties in the projections. The understanding and evaluation of the projected changes may also depend on the metrics considered and may require investigations separating thermodynamical and dynamical processes. Summary The dynamics of subtropical highs has a well-established theoretical background but the understanding of its variability and change is still affected by large uncertainties. Climate model systematic errors, low-frequency chaotic variability, coupled ocean-atmosphere processes, and sensitivity to climate forcing are all sources of uncertainty that reduce the confidence in atmospheric circulation aspects of climate change, including the subtropical highs. Compensating signals, coming from a tug-of-war between components associated with direct carbon dioxide radiative forcing and indirect sea surface temperature warming, impose limits that must be considered.
    Description: Published
    Description: 371–382
    Description: 4A. Oceanografia e clima
    Description: N/A or not JCR
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
    Publication Date: 2020-11-25
    Description: Southern Europe (Italy and the surrounding countries) experienced an unusual wet summer in 2014. The month- ly rainfall in July 2014 was 84% above (more than three standard deviation) normal with respect to the 1982– 2013 July climatology. The heavy rainfall damaged agriculture, and affected tourism and overall economy of the region. In this study, we tried to understand the physical mechanisms responsible for such abnormal weather by using model and observed datasets. The anomalously high precipitation over Italy is found to be associated with the positive sea surface temperature (SST) and convective anomalies in the tropical Pacific through the at- mospheric teleconnection. Rossby wave activity flux at upper levels shows an anomalous tropospheric quasi- stationary Rossby wave from the Pacific with an anomalous cyclonic phase over southern Europe. This anomalous cyclonic circulation is barotropic in nature and seen extending to lower atmospheric levels, weakening the sea- sonal high and causing heavy precipitation over the Southern Europe. The hypothesis is verified using the Nation- al Centers for Environmental Prediction (NCEP) coupled forecast system model (CFSv2) seasonal forecasts. It is found that two-month lead forecast of CFSv2 was able to capture the wet summer event of 2014 over Southern Europe. The teleconnection pattern from Pacific to Southern Europe was also forecasted realistically by the CFSv2 system.
    Description: Published
    Description: 61-68
    Description: 4A. Oceanografia e clima
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 6
    Publication Date: 2020-11-25
    Description: Decadal climate predictability in the South Atlantic is explored by performing reforecast experiments using a coupled general circulation model with two initialization schemes; one is assimilated with observed sea surface temperature (SST) only, and the other is additionally assimilated with observed subsurface ocean temperature and salinity. The South Atlantic is known to undergo decadal variability exhibiting a meridional dipole of SST anomalies through variations in the subtropical high and ocean heat transport. Decadal reforecast experiments in which only the model SST is initialized with the observation do not predict well the observed decadal SST variability in the South Atlantic, while the other experiments in which the model SST and subsurface ocean are initialized with the observation skillfully predict the observed decadal SST variability, particularly in the Southeast Atlantic. In-depth analysis of upper-ocean heat content reveals that a significant improvement of zonal heat transport in the Southeast Atlantic leads to skillful prediction of decadal SST variability there. These results demonstrate potential roles of subsurface ocean assimilation in the skillful prediction of decadal climate variability over the South Atlantic.
    Description: Published
    Description: id 8523
    Description: 4A. Oceanografia e clima
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 7
    Publication Date: 2021-09-09
    Description: The Indian Ocean Dipole (IOD) is one of the dominant modes of variability of the tropical Indian Ocean and it has been suggested to have a crucial role in the teleconnection between the Indian summer monsoon and El Niño Southern Oscillation (ENSO). The main ideas at the base of the influence of the IOD on the ENSO-monsoon teleconnection include the possibility that it may strengthen summer rainfall over India, as well as the opposite, and also that it may produce a remote forcing on ENSO itself. In the future, the IOD is projected to increase in frequency and amplitude with mean conditions mimicking the characteristics of its positive phase. Still, state-of-the-art global climate models have large biases in representing the mean state and variability of both IOD and ISM, with potential consequences for their future projections. However, the characteristics of the IOD and ENSO are likely to continue in a future warmer world, with persistence of their linkage.
    Description: Published
    Description: 157-182
    Description: 4A. Oceanografia e clima
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 8
    Publication Date: 2022-05-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hermes, J. C., Masumoto, Y., Beal, L. M., Roxy, M. K., Vialard, J., Andres, M., Annamalai, H., Behera, S., D'Adamo, N., Doi, T., Peng, M., Han, W., Hardman-Mountford, N., Hendon, H., Hood, R., Kido, S., Lee, C., Lees, T., Lengaigne, M., Li, J., Lumpkin, R., Navaneeth, K. N., Milligan, B., McPhaden, M. J., Ravichandran, M., Shinoda, T., Singh, A., Sloyan, B., Strutton, P. G., Subramanian, A. C., Thurston, S., Tozuka, T., Ummenhofer, C. C., Unnikrishnan, A. S., Venkatesan, R., Wang, D., Wiggert, J., Yu, L., & Yu, W. (2019). A sustained ocean observing system in the Indian Ocean for climate related scientific knowledge and societal needs. Frontiers in Marine Science, 6, (2019): 355, doi: 10.3389/fmars.2019.00355.
    Description: The Indian Ocean is warming faster than any of the global oceans and its climate is uniquely driven by the presence of a landmass at low latitudes, which causes monsoonal winds and reversing currents. The food, water, and energy security in the Indian Ocean rim countries and islands are intrinsically tied to its climate, with marine environmental goods and services, as well as trade within the basin, underpinning their economies. Hence, there are a range of societal needs for Indian Ocean observation arising from the influence of regional phenomena and climate change on, for instance, marine ecosystems, monsoon rains, and sea-level. The Indian Ocean Observing System (IndOOS), is a sustained observing system that monitors basin-scale ocean-atmosphere conditions, while providing flexibility in terms of emerging technologies and scientificand societal needs, and a framework for more regional and coastal monitoring. This paper reviews the societal and scientific motivations, current status, and future directions of IndOOS, while also discussing the need for enhanced coastal, shelf, and regional observations. The challenges of sustainability and implementation are also addressed, including capacity building, best practices, and integration of resources. The utility of IndOOS ultimately depends on the identification of, and engagement with, end-users and decision-makers and on the practical accessibility and transparency of data for a range of products and for decision-making processes. Therefore we highlight current progress, issues and challenges related to end user engagement with IndOOS, as well as the needs of the data assimilation and modeling communities. Knowledge of the status of the Indian Ocean climate and ecosystems and predictability of its future, depends on a wide range of socio-economic and environmental data, a significant part of which is provided by IndOOS.
    Description: This work was supported by the PMEL contribution no. 4934.
    Keywords: Indian Ocean ; sustained observing system ; IndOOS ; data ; end-user connections and applications ; regional observing system ; interdisciplinary ; integration
    Repository Name: Woods Hole Open Access Server
    Type: Article
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