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  • 1
    Keywords: Climatic changes -- South America. ; Electronic books.
    Description / Table of Contents: This book features overviews and research papers dealing with South American climate variability from the Last Glacial Maximum to the Holocene. It presents an insight into dynamics of the past and provides a work of reference for data-model comparison.
    Type of Medium: Online Resource
    Pages: 1 online resource (423 pages)
    Edition: 1st ed.
    ISBN: 9789048126729
    Series Statement: Developments in Paleoenvironmental Research Series ; v.14
    DDC: 551.60901
    Language: English
    Note: Intro -- Acknowledgments -- Preface -- Contents -- Contributors -- Part I Can We Draw a Robust Picture of Last Glacial Maximum Climate Conditions in South America? -- 1 Moisture Pattern During the Last Glacial Maximum in South America -- 1.1 Introduction -- 1.2 Modern Climate -- 1.3 Evidence of Regional Paleoclimatic Changes -- 1.3.1 Northern South America -- 1.3.2 Amazon Basin -- 1.3.3 Southern Brazil -- 1.3.4 Central Andes: Peru, Bolivia and North Chile -- 1.3.5 Central Plains of Argentina -- 1.3.6 Southern South America -- 1.4 Discussion -- 1.5 Conclusion -- References -- 2 Orbital and Millennial-Scale Precipitation Changes in Brazil from Speleothem Records -- 2.1 Introduction -- 2.2 Climate Signals Recorded in Brazilian Speleothems -- 2.2.1 Climate Variability in South America Based on 0 18 O in Precipitation -- 2.2.2 Factors Affecting the Isotopic Composition of Dripwaters and Modern Speleothems -- 2.2.3 The Influence of Rainfall Amount on Mg/Ca and Sr/Ca Ratios in Speleothems -- 2.3 Paleoclimatic Changes from Speleothem Records -- 2.3.1 U/Th Chronology of Speleothems -- 2.3.2 Stable Isotope Records -- 2.3.3 Speleothem Growth Intervals -- 2.3.4 Mg/Ca and Sr/Ca Ratios -- 2.4 Discussion -- 2.4.1 Long-Term Paleoclimatic Changes -- 2.4.2 Millennial-Scale Abrupt Changes in Climate -- 2.4.3 Broader Significance of Precipitation Changes Based on Speleothem Records -- 2.5 Conclusions -- References -- 3 Chronologies of the Last Glacial Maximum and its Termination in the Andes (1055S) Based on Surface Exposure Dating -- 3.1 Introduction -- 3.2 Geography and Current Climate in the Andes -- 3.3 Surface Exposure Dating -- 3.3.1 Principle -- 3.3.2 Scaling and Systematic Uncertainties -- 3.3.3 Scatter in Exposure Ages and Geomorphological Uncertainties -- 3.4 Chronologies of the LGM. , 3.4.1 Exposure Ages from the Tropical Andes of Peru and Bolivia -- 3.4.1.1 Comparison with Radiocarbon Chronologies -- 3.4.1.2 The Role of Temperature and Precipitation for Glaciation in the Southern Tropical Andes -- 3.4.2 Exposure Ages from the Subtropical Andes -- 3.4.3 Exposure Ages from the Patagonian Andes and Tierra del Fuego -- 3.5 Conclusions -- References -- 4 Vegetation and Fire at the Last Glacial Maximum in Tropical South America -- 4.1 Introduction -- 4.2 Methods and Approach -- 4.3 Last Glacial Maximum Pollen-Based Vegetation Reconstructions -- 4.3.1 Andean Records -- 4.3.1.1 Bolivian Altiplano -- 4.3.1.2 Bolivian/Peruvian Cloud Forests -- 4.3.1.3 Colombian Montane Forests -- 4.3.2 Lowland Records -- 4.3.2.1 Amazon Rainforests -- 4.3.2.2 Savanna/Woodland/Thorn-Scrub -- 4.3.2.3 Atlantic Forests and Campos Grasslands of SE Brazil -- 4.4 Model Simulations of Last Glacial Maximum Vegetation -- 4.4.1 Colombia -- 4.4.2 Amazon Basin -- 4.5 Last Glacial Maximum Fires -- 4.6 Implications and Conclusions -- 4.6.1 Last Glacial Maximum Climate -- 4.6.2 Biogeography, Biodiversity, and Carbon Cycling -- References -- 5 Re-evaluation of Climate Change in Lowland Central America During the Last Glacial Maximum Using New Sediment Cores from Lake Petn Itz, Guatemala -- 5.1 Introduction -- 5.1.1 The Lake Petán Itzá Scientific Drilling Project (PISDP) -- 5.2 Did Montane and Lowland Regions Experience the Same Degree of Last Glacial Maximum Cooling ? -- 5.2.1 Glaciological Evidence -- 5.2.2 Palynological Evidence -- 5.3 Was the LGM Characterized by Aridity? -- 5.4 Precession as a Long-Term Driver of Precipitation Change in Central America -- 5.5 Short-Term Drivers of Precipitation and Temperature -- 5.6 Conclusions -- References. , 6 Glacial to Holocene Paleoceanographic and Continental Paleoclimate Reconstructions Based on ODP Site 1233/GeoB 3313 Off Southern Chile -- 6.1 Introduction -- 6.2 Regional Setting -- 6.3 Material and Methods -- 6.4 Results and Discussion -- 6.4.1 Glacial -- 6.4.1.1 Regional Aspects -- 6.4.1.2 Link to the High Latitudes -- 6.4.1.3 Link to the Tropics -- 6.4.2 Termination 1 -- 6.4.2.1 Regional Aspects -- 6.4.2.2 Link to the High Latitudes -- 6.4.2.3 Link to the Tropics -- 6.4.3 Holocene -- 6.4.3.1 Regional Aspects -- 6.4.3.2 Link to the High Latitudes -- 6.4.3.3 Link to the Tropics -- References -- Part II The High Latitudes-Tropics and Tropics-Tropics Teleconnections over the Last Deglaciation and Last Glacial Maximum -- 7 Teleconnections into South America from the Tropics and Extratropics on Interannual and Intraseasonal Timescales -- 7.1 Introduction -- 7.2 Mechanisms of Tropics-Tropics and Tropics-High Latitudes Teleconnections -- 7.2.1 Walker and Hadley Circulation Cells -- 7.2.2 Rossby Wave Propagation -- 7.3 Teleconnections with South America on Interannual Time Scales -- 7.3.1 Southern Hemisphere Observed Interannual Variability -- 7.3.2 El Niño/Southern Oscillation Teleconnections with South America -- 7.3.2.1 Northern South America and the Tropics-Tropics Teleconnection -- 7.3.2.2 Southeastern South America and the Tropics-Extratropics Teleconnection -- 7.3.2.3 Central-East Brazil and the Influence of Regional Processes During the Summer Monsoon -- 7.4 Teleconnections with South America on Intraseasonal Time Scales -- 7.4.1 Southern Hemisphere Observed Intraseasonal Variability -- 7.4.2 Madden-Julian Oscillation (MJO) -- 7.5 Final Remarks -- References -- 8 South American Climate Variability and Change: Remote and Regional Forcing Processes -- 8.1 Introduction -- 8.2 Decomposition of the South American Precipitation Climatology. , 8.3 Regional Forcing of South American Climate Variability -- 8.4 Remote Forcing of South American Climate Variability -- 8.4.1 Sea Surface Temperature Forcing -- 8.4.2 High Latitude Forcing -- 8.4.3 Africa and South America: An Intercontinental Teleconnection -- 8.5 Concluding Remarks -- References -- 9 Sensitivity of South American Tropical Climate to Last Glacial Maximum Boundary Conditions: Focus on Teleconnections with Tropics and Extratropics -- 9.1 Introduction -- 9.2 Model Description and Simulated Thermo-Dynamical Structure of the Atmosphere -- 9.2.1 The Model and Experimental Set Up -- 9.2.2 Simulated Pre-industrial (PI) Climate -- 9.3 Response of Tropical South American Climate to Last Glacial Maximum Forcings -- 9.3.1 The Last Glacial Maximum -- 9.3.2 Sensitivity to Last Glacial Maximum Reduced Greenhouse Gases -- 9.3.3 Sensitivity to Last Glacial Maximum Land Ice -- 9.4 Summary and Conclusion -- References -- 10 Similarities and Discrepancies Between Andean Ice Cores Over the Last Deglaciation: Climate Implications -- 10.1 Introduction and Motivations -- 10.2 Isotopic Composition of Andean Ice Cores: A Common LGM to Holocene Signal, Some Discrepancies Along the Deglaciation -- 10.2.1 An Important Caveat About Andean Ice Cores Dating -- 10.2.2 The Glacial-Interglacial Transition as Recorded in the Isotopic Composition of Andean Ice Cores -- 10.2.3 Deglaciation as Recorded in Andean Ice Cores: Deciphering the Greenland and Antarctic Aspects? -- 10.3 Discussion in Terms of Global Climate Mechanisms and Local Climate Influences -- 10.3.1 Influence of Insolation on LGM Precipitation -- 10.3.2 A Mechanism for Wet Southern Tropics and Cold Northern High Latitudes During LGM -- 10.3.3 Is a Climate Reversal Expected in the Isotopic Composition of Andean Ice Cores? -- 10.3.4 The Specificity of Sajama: Local Conditions and/or Pacific Influence?. , 10.4 Conclusions -- References -- Part III Characteristics of the Holocene Climate. Focus on Global Events: Are They Widespread, Comparable and Synchroneous in South America? -- 11 Mid-Holocene Climate of Tropical South America: A Model-Data Approach -- 11.1 Introduction -- 11.2 Methodology -- 11.3 Results -- 11.3.1 Present Tropical South America Climate as Simulated by IPSL Model (CTL) -- 11.3.2 ITCZ and ZCAS at the Mid-Holocene -- 11.3.3 Atmospheric Mean and Transient Circulation -- 11.4 Comparison with Paleoclimate Data -- 11.4.1 Precipitation -- 11.4.2 Temperature and Cold Outbreaks -- 11.5 Conclusions -- References -- 12 Millennial-Scale Ecological Changes in Tropical South America Since the Last Glacial Maximum -- 12.1 Introduction -- 12.2 Rate-of-Change Analysis -- 12.3 Paleoecological Records -- 12.3.1 Andean vs Western Amazonian Changes -- 12.3.2 Drivers of Change -- 12.3.2.1 Temperature -- 12.3.2.2 Precipitation -- 12.3.2.3 Fire -- 12.3.2.4 Human Disturbance -- 12.4 Overview -- References -- 13 The Nature and Origin of Decadal to Millennial Scale Climate Variability in the Southern Tropics of South America: The Holocene Record of Lago Umayo, Peru -- 13.1 Introduction -- 13.2 Precipitation in Tropical South America During the Late Quaternary and its Relationship to Tropical Atlantic Variability -- 13.3 Reconstruction of Holocene Precipitation in the Northern Altiplano, Lago Umayo, Peru -- 13.3.1 Regional Setting of Lago Umayo -- 13.3.2 Methods -- 13.3.3 The Oxygen Isotopic Model -- 13.3.4 Model Results and Validation -- 13.4 Discussion -- 13.5 Conclusions -- References -- 14 Hydrological Variability in South America Below the Tropic of Capricorn (Pampas and Patagonia, Argentina) During the Last 13.0 Ka -- 14.1 Introduction -- 14.2 Modern Climate of Southern South America -- 14.3 Paleoclimate Archives. , 14.3.1 Subtropical Latitudes: Pampean Plains.
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  • 2
    Publication Date: 2023-03-25
    Keywords: Age; BIO; Biology; Saloum_Delta; Senegal; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 1292 data points
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  • 3
    Publication Date: 2023-03-25
    Keywords: Age; Age, lower confidence level; Age, upper confidence level; BIO; Biology; D_Boumak; Diofandor; Diogane; Dionewar; Event label; Falia; Gouk; Latitude of event; Layer depth; Longitude of event; Saloum_A10; Saloum_A12; Saloum_A49; Sample ID; Senegal; Senilia senilis, δ13C; Senilia senilis, δ18O; Tioupane; Toubakouta
    Type: Dataset
    Format: text/tab-separated-values, 1218 data points
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  • 4
    Publication Date: 2023-03-25
    Keywords: BIO; Biology; Saloum_Delta; Senegal
    Type: Dataset
    Format: application/zip, 134.5 kBytes
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  • 5
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    PANGAEA
    In:  Supplement to: Carré, Matthieu; Azzoug, Moufok; Zaharias, Paul; Camara, Abdoulaye; Cheddadi, Rachid; Chevalier, Manuel; Fiorillo, Denis; Gaye, Amadou T; Janicot, Serge; Khodri, Myriam; Lazar, Alban; Lazareth, Claire E; Mignot, Juliette; Mitma Garcia, Nancy; Patris, Nicolas; Perrot, Océane; Wade, Malick (2019): Modern drought conditions in western Sahel unprecedented in the past 1600 years. Climate Dynamics, 52(3-4), 1949-1964, https://doi.org/10.1007/s00382-018-4311-3
    Publication Date: 2023-03-25
    Description: As climate model uncertainties remain very large for future rainfall in the Sahel, a multi-centennial perspective is required to assess the situation of current Sahel climate in the context of global warming. We present here the first record of hydroclimatic variability over the past 1600 years in Senegal, obtained from stable oxygen isotope analyses (δ18O) in archaeological shell middens from the Saloum Delta. During the preindustrial period, the region was relatively humid, with maximum humidity reached during the period from AD 1500 to AD 1800, referred to as the Little Ice Age. A significant negative link is observed at the centennial scale between global temperature and humidity in the Sahel that is at odds with the expected effects of latitudinal shifts of the intertropical convergence zone during the last millennium. In the context of the past 1600 years, the Western Sahel appears to be experiencing today unprecedented drought conditions. The rapid aridification that started ca. AD 1800 and the recent emergence of Sahel drought from the natural variability point to an anthropogenic forcing of Sahel drying trend. This new long-term perspective suggests that the recovery of Sahel rainfall in the last decade may only result from short-term internal variability, and supports climate models that predict an increase of Sahel drought under future greenhouse climate.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 6
    Publication Date: 2020-02-06
    Description: The pre-industrial millennium is among the periods selected by the Paleoclimate Model Intercomparison Project (PMIP) for experiments contributing to the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and the fourth phase of the PMIP (PMIP4). The past1000 transient simulations serve to investigate the response to (mainly) natural forcing under background conditions not too different from today, and to discriminate between forced and internally generated variability on interannual to centennial timescales. This paper describes the motivation and the experimental set-ups for the PMIP4-CMIP6 past1000 simulations, and discusses the forcing agents orbital, solar, volcanic, and land use/land cover changes, and variations in greenhouse gas concentrations. The past1000 simulations covering the pre-industrial millennium from 850 Common Era (CE) to 1849 CE have to be complemented by historical simulations (1850 to 2014 CE) following the CMIP6 protocol. The external forcings for the past1000 experiments have been adapted to provide a seamless transition across these time periods. Protocols for the past1000 simulations have been divided into three tiers. A default forcing data set has been defined for the Tier 1 (the CMIP6 past1000) experiment. However, the PMIP community has maintained the flexibility to conduct coordinated sensitivity experiments to explore uncertainty in forcing reconstructions as well as parameter uncertainty in dedicated Tier 2 simulations. Additional experiments (Tier 3) are defined to foster collaborative model experiments focusing on the early instrumental period and to extend the temporal range and the scope of the simulations. This paper outlines current and future research foci and common analyses for collaborative work between the PMIP and the observational communities (reconstructions, instrumental data).
    Type: Article , PeerReviewed
    Format: text
    Format: archive
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  • 7
    Publication Date: 2021-02-08
    Description: The eruption of Mt. Tambora in 1815 was the largest volcanic eruption of the past 500 years. The eruption had significant climatic impacts, leading to the 1816 "year without a summer", and remains a valuable event from which to understand the climatic effects of large stratospheric volcanic sulfur dioxide injections. The eruption also resulted in one of the strongest and most easily identifiable volcanic sulfate signals in polar ice cores, which are widely used to reconstruct the timing and atmospheric sulfate loading of past eruptions. As part of the Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP), five state-of-the-art global aerosol models simulated this eruption. We analyse both simulated background (no Tambora) and volcanic (with Tambora) sulfate deposition to polar regions and compare to ice core records. The models simulate overall similar patterns of background sulfate deposition, al-though there are differences in regional details and magnitude. However, the volcanic sulfate deposition varies considerably between the models with differences in timing, spatial pattern and magnitude. Mean simulated deposited sulfate on Antarctica ranges from 19 to 264 kgkm-2 and on Greenland from 31 to 194 kgkm-2, as compared to the mean ice-corederived estimates of roughly 50 kgkm-2 for both Greenland and Antarctica. The ratio of the hemispheric atmospheric sulfate aerosol burden after the eruption to the average ice sheet deposited sulfate varies between models by up to a factor of 15. Sources of this inter-model variability include differences in both the formation and the transport of sulfate aerosol. Our results suggest that deriving relationships between sulfate deposited on ice sheets and atmospheric sulfate burdens from model simulations may be associated with greater uncertainties than previously thought.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 8
    Publication Date: 2019-02-01
    Description: The enhancement of the stratospheric aerosol layer by volcanic eruptions induces a complex set of responses causing global and regional climate effects on a broad range of timescales. Uncertainties exist regarding the climatic response to strong volcanic forcing identified in coupled climate simulations that contributed to the fifth phase of the Coupled Model Intercomparison Project (CMIP5). In order to better understand the sources of these model diversities, the Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP) has defined a coordinated set of idealized volcanic perturbation experiments to be carried out in alignment with the CMIP6 protocol. VolMIP provides a common stratospheric aerosol data set for each experiment to minimize differences in the applied volcanic forcing. It defines a set of initial conditions to assess how internal climate variability contributes to determining the response. VolMIP will assess to what extent volcanically forced responses of the coupled ocean–atmosphere system are robustly simulated by state-of-the-art coupled climate models and identify the causes that limit robust simulated behavior, especially differences in the treatment of physical processes. This paper illustrates the design of the idealized volcanic perturbation experiments in the VolMIP protocol and describes the common aerosol forcing input data sets to be used.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 9
    Publication Date: 2024-02-07
    Description: As part of the Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP), several climate modeling centers performed a coordinated prestudy experiment with interactive stratospheric aerosol models simulating the volcanic aerosol cloud from an eruption resembling the 1815 Mt. Tambora eruption (VolMIP-Tambora ISA ensemble). The pre-study provided the ancillary ability to assess intermodel diversity in the radiative forcing for a large stratospheric-injecting equatorial eruption when the volcanic aerosol cloud is simulated interactively. An initial analysis of the VolMIP-Tambora ISA ensemble showed large disparities between models in the stratospheric global mean aerosol optical depth (AOD). In this study, we now show that stratospheric global mean AOD differences among the participating models are primarily due to differences in aerosol size, which we track here by effective radius. We identify specific physical and chemical processes that are missing in some models and/or parameterized differently between models, which are together causing the differences in effective radius. In particular, our analysis indicates that interactively tracking hydroxyl radical (OH) chemistry following a large volcanic injection of sulfur dioxide (SO2) is an important fac tor in allowing for the timescale for sulfate formation to be properly simulated. In addition, depending on the timescale of sulfate formation, there can be a large difference in effective radius and subsequently AOD that results from whether the SO2 is injected in a single model grid cell near the location of the volcanic eruption, or whether it is injected as a longitudinally averaged band around the Earth.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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