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03732nam a22005415i 4500 |
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978-3-642-14863-7 |
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DE-He213 |
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20151204163016.0 |
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cr nn 008mamaa |
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101109s2011 gw | s |||| 0|eng d |
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|a 9783642148637
|9 978-3-642-14863-7
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|a 10.1007/978-3-642-14863-7
|2 doi
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|a GC1-1581
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|a RBKC
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|a SCI052000
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|a 551.46
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|a In Extremis
|h [electronic resource] :
|b Disruptive Events and Trends in Climate and Hydrology /
|c edited by Jürgen Kropp, Hans-Joachim Schellnhuber.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2011.
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| 300 |
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|a XV, 320 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a 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.
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|a 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.
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| 650 |
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|a Earth sciences.
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| 650 |
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|a Climate change.
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| 650 |
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|a Hydrogeology.
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| 650 |
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|a Oceanography.
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| 650 |
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|a Atmospheric sciences.
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| 650 |
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|a Statistics.
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| 650 |
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|a Environmental sciences.
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| 650 |
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4 |
|a Earth Sciences.
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| 650 |
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4 |
|a Oceanography.
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| 650 |
2 |
4 |
|a Climate Change/Climate Change Impacts.
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| 650 |
2 |
4 |
|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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| 650 |
2 |
4 |
|a Environmental Physics.
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| 650 |
2 |
4 |
|a Atmospheric Sciences.
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| 650 |
2 |
4 |
|a Hydrogeology.
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| 700 |
1 |
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|a Kropp, Jürgen.
|e editor.
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| 700 |
1 |
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|a Schellnhuber, Hans-Joachim.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783642148620
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-642-14863-7
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-EES
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| 950 |
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|a Earth and Environmental Science (Springer-11646)
|
