rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: In Extremis
    sub title: Disruptive Events and Trends in Climate and Hydrology
  name:
    name part: Kropp, Jürgen.
    role:
      role term: editor.
  name:
    name part: Schellnhuber, Hans-Joachim.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 320 p. online resource.
  abstract: The book addresses a weakness of current methodologies used in extreme value assessment, i.e. the assumption of stationarity, which is not given in reality. With respect to this issue a lot of new developed technologies are presented, i.e. influence of trends vs. internal correlations, quantitative uncertainty assessments, etc. The book not only focuses on artificial time series data, but has a close link to empirical measurements, in order to make the suggested methodologies applicable for practitioners in water management and meteorology.
  table of contents: Part I. General -- The Threat of Climate Extremes: The Need of New Assessment Methodologies -- Intense Precipitation and High Floods – Observations and Projections -- Wavelet Spectral and Cross Spectral Analysis -- Part II. Extremes and Trend Detection -- Trend Detection in River Floods -- Extreme Value Analysis Considering Trends -- Extreme Value and Trend Analysis based on Statistical Modelling of Precipitation Time Series -- Part III. Extremes and Correlations -- The statistics of Return Intervals, Maxima and Centennial Events under the Influence of Long-Term Correlations -- Detrended Fluctuation Studies of Long-Term Persistence and Multifractality of Precipitation and River Runoff Records -- Extraction of Long-term Structures from Southern German Runoff Data by Means of Linear and Nonlinear Dimensionality Reduction -- Part IV. Assessing Uncertainty -- The Bootstrap in Climate Risk Analysis -- Flood Level Confidence Intervals -- A Review on the Pettitt-Test -- Seasonality Effects on Nonlinear Properties of Hydrometeorological Records -- Part V. Spatial Issues -- Regional Determination of Historical Heavy Rain for Reconstruction of Extreme Flood Events -- Development of Regional Flood Frequency Relationships for Gauged and Ungauged Catchments Using L-Moments -- Spatial Correlations of River Runoffs in a Catchment.
  note: edited by Jürgen Kropp, Hans-Joachim Schellnhuber.
  subject:
    topic: Earth sciences
  subject:
    topic: Climate change
  subject:
    topic: Hydrogeology
  subject:
    topic: Oceanography
  subject:
    topic: Atmospheric sciences
  subject:
    topic: Statistics
  subject:
    topic: Environmental sciences
  subject:
    topic: Earth Sciences
  subject:
    topic: Oceanography
  subject:
    topic: Climate Change/Climate Change Impacts
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Environmental Physics
  subject:
    topic: Atmospheric Sciences
  subject:
    topic: Hydrogeology
  classification: GC1-1581
  classification: 551.46
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642148637
  identifier: http://dx.doi.org/10.1007/978-3-642-14863-7
  record info:
    record creation date: 101109
    record change date: 20151204163016.0
    record identifier: 978-3-642-14863-7