GLORIA

GEOMAR Library Ocean Research Information Access

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Networks in Climate. (2019)
    New York :Cambridge University Press,
    Details
    Keywords: Atmospheric physics. ; Electronic books.
    Description / Table of Contents: This book provides an overview of the applications of complex network theory to climate science. Aimed mainly at researchers and graduate students in climate science, it will also be of value to a broader audience of anyone interested in network science, from biomedicine to ecology to economics.
    Type of Medium: Online Resource
    Pages: 1 online resource (286 pages)
    Edition: 1st ed.
    ISBN: 9781108626682
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=5719386
    DDC: 551.633
    Language: English
    Note: Cover -- Half-title -- Title page -- Copyright information -- Contents -- Preface -- Acknowledgments -- 1 The Climate System -- 1.1 System Components -- 1.2 Forcing -- 1.3 Climate Models -- 1.4 Mean State -- 1.4.1 Atmosphere -- 1.4.2 Ocean -- 2 Climate Variability -- 2.1 Phenomena and Null-Hypothesis -- 2.2 Atmospheric Waves and Teleconnections -- 2.3 The North Atlantic Oscillation -- 2.4 The El Niño-Southern Oscillation -- 2.5 Tropical Circulation and Monsoons -- 2.6 The Atlantic Multidecadal Oscillation -- 3 Climate Data Analysis -- 3.1 Climate Data -- 3.2 Linear Analysis Tools -- 3.2.1 Correlation Analysis -- 3.2.2 Spectral Analysis -- 3.2.3 Wavelets -- 3.2.4 Empirical Orthogonal Functions -- 3.3 Nonlinear Analysis Tools -- 3.3.1 Entropy -- 3.3.2 Mutual Information -- 3.3.3 Event Synchronization -- 3.3.4 Directionality and Causality Measures -- 3.3.5 Ordinal Analysis -- 3.4 Statistical Testing -- 4 Climate Networks: Construction Methods and Analysis -- 4.1 Complex Networks -- 4.1.1 General Definitions and Properties -- 4.1.2 Functional and Structural Networks -- 4.2 Construction of Climate Networks -- 4.2.1 Undirected Network Inferred from SATA -- 4.2.2 Directed Network Inferred from SATA -- 4.3 Climate Communities -- 4.4 Flow Networks -- 4.4.1 Network Description of Lagrangian Transport in Fluid Flows -- 4.4.2 Dispersion, Mixing, and Network Entropies -- 4.4.3 Communities in Flow Networks -- 4.4.4 Optimal Paths in Flow Networks -- 4.4.5 MPP-Betweenness -- 4.5 Event Synchronization Networks -- 5 Computational Tools for Network Analysis -- 5.1 Computational Problem -- 5.2 Serial Tools: pyunicorn -- 5.2.1 Description -- 5.2.2 Performance -- 5.3 Parallel Tools: Par@Graph -- 5.3.1 Description -- 5.3.2 Performance: POP Model Time Series -- 6 Applications to Atmospheric Variability -- 6.1 Network Analysis of ENSO Phases. , 6.2 Evolution of Atmospheric Connectivity in the Twentieth Century -- 6.3 Forced and Internal Atmospheric Variability -- 6.4 Atmospheric Rossby Waves -- 6.5 Atmospheric Blocking Events -- 6.6 Indian Monsoon -- 6.6.1 Paleoclimate Networks -- 6.6.2 Monsoon Extreme Rainfall Events -- 6.7 South American Monsoon -- 6.7.1 Air-Sea Interaction in the South Atlantic Convergence Zone -- 6.7.2 Moisture Sources of Southeastern South America -- 7 Applications to Oceanic Variability -- 7.1 Oceanic El Niño Wave Dynamics -- 7.2 Multidecadal North Atlantic SST Anomalies -- 7.3 Mediterranean Sea Surface Flow Network -- 7.3.1 Network Construction -- 7.3.2 Dispersion and Mixing -- 7.3.3 Communities in the Mediterranean Surface Flow -- 7.4 Optimal Mediterranean Flow Paths -- 8 Climate Tipping Behavior -- 8.1 Climate Tipping Elements -- 8.2 Critical Slowing Down -- 8.3 Atlantic MOC Collapse -- 8.3.1 Models and Data -- 8.3.2 Results for the Two-Dimensional Model -- 8.3.3 Results for the FAMOUS Model -- 8.4 Desertification -- 8.4.1 Vegetation-Water Model -- 8.4.2 Network Approach and Analysis -- 8.5 Percolation-Based Techniques -- 8.5.1 Percolation in the Lorenz'96 Model Network -- 8.5.2 Percolation in Sea Temperature Networks during El Niño Events -- 9 Network-Based Prediction -- 9.1 Concepts of Predictability -- 9.2 Machine Learning -- 9.3 Prediction of the Indian Summer Monsoon -- 9.3.1 The Problem -- 9.3.2 Climate Networks and the Prediction of the Monsoon -- 9.3.3 Prediction of Monsoon Onset and Withdrawal -- 9.3.4 Prediction Skill -- 9.4 El Niño Prediction -- 9.4.1 The Problem -- 9.4.2 Machine Learning Prediction Using Network Measures -- 9.4.3 Prediction Skill -- References -- Copyright Acknowledgments -- Index.
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    GEOMAR EBL
  • 2
    facet.materialart.
    Unknown
    The DeepMIP contribution to PMIP4: experimental design for model simulations of the EECO, PETM, and pre-PETM (version 1.0) (2017)
    Copernicus Publications (EGU)
    In:  Geoscientific Model Development, 10 (2). pp. 889-901.
    Details
    Publication Date: 2020-02-06
    Description: Past warm periods provide an opportunity to evaluate climate models under extreme forcing scenarios, in particular high ( 〉  800 ppmv) atmospheric CO2 concentrations. Although a post hoc intercomparison of Eocene ( ∼  50  Ma) climate model simulations and geological data has been carried out previously, models of past high-CO2 periods have never been evaluated in a consistent framework. Here, we present an experimental design for climate model simulations of three warm periods within the early Eocene and the latest Paleocene (the EECO, PETM, and pre-PETM). Together with the CMIP6 pre-industrial control and abrupt 4 ×  CO2 simulations, and additional sensitivity studies, these form the first phase of DeepMIP – the Deep-time Model Intercomparison Project, itself a group within the wider Paleoclimate Modelling Intercomparison Project (PMIP). The experimental design specifies and provides guidance on boundary conditions associated with palaeogeography, greenhouse gases, astronomical configuration, solar constant, land surface processes, and aerosols. Initial conditions, simulation length, and output variables are also specified. Finally, we explain how the geological data sets, which will be used to evaluate the simulations, will be developed.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.5194/gmd-10-889-2017
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 3
    facet.materialart.
    Unknown
    Lessons on Climate Sensitivity From Past Climate Changes (2016)
    Springer
    In:  EPIC3Current Climate Change Reports, Springer, 2(4), pp. 148-158, ISSN: 2198-6061
    Details
    Publication Date: 2019-10-01
    Description: Over the last decade, our understanding of cli- mate sensitivity has improved considerably. The climate system shows variability on many timescales, is subject to non-stationary forcing and it is most likely out of equi- librium with the changes in the radiative forcing. Slow and fast feedbacks complicate the interpretation of geolog- ical records as feedback strengths vary over time. In the geological past, the forcing timescales were different than at present, suggesting that the response may have behaved differently. Do these insights constrain the climate sensitiv- ity relevant for the present day? In this paper, we review the progress made in theoretical understanding of climate sensitivity and on the estimation of climate sensitivity from proxy records. Particular focus lies on the background state dependence of feedback processes and on the impact of tipping points on the climate system. We suggest how to further use palaeo data to advance our understanding of the currently ongoing climate change.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    PAPER (OA)
  • 4
    facet.materialart.
    Unknown
    Sinking of dense North Atlantic waters in a global ocean model : location and controls (2018)
    John Wiley & Sons
    Details
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Journal of Geophysical Research: Oceans 123 (2018): 3563-3576, doi:10.1029/2017JC013329.
    Description: We investigate the characteristics of the sinking of dense waters in the North Atlantic Ocean that constitute the downwelling limb of the Atlantic Meridional Overturning Circulation (AMOC) as simulated by two global ocean models: an eddy‐permitting model at 1/4° resolution and its coarser 1° counterpart. In line with simple geostrophic considerations, it is shown that the sinking predominantly occurs in a narrow region close to the continental boundary in both model simulations. That is, the regions where convection is deepest do not coincide with regions where most dense waters sink. The amount of near‐boundary sinking that occurs varies regionally. For the 1/4° resolution model, these variations are in quantitative agreement with a relation based on geostrophy and a thermodynamic balance between buoyancy loss and alongshore advection of density, which links the amount of sinking to changes in density along the edge of the North Atlantic Ocean. In the 1° model, the amount and location of sinking appears not to be governed by this simple relation, possibly due to the large impact of overflows and nonnegligible cross‐shore density advection. If this poor representation of the processes governing the sinking of dense waters in the North Atlantic Ocean is a generic feature of such low‐resolution models, the response of the AMOC to changes in climate simulated by this type of models needs to be evaluated with care.
    Description: NWO (Netherlands Scientific Research foundation) VIDI Grant Number: 864.13.011; National Science Foundation Grant Numbers: OCE‐1534618, OCE‐1558742
    Keywords: Ocean circulation ; Climate
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    PAPER (OA)
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...