Book contents
- Copulas and Their Applications in Water Resources Engineering
- Copulas and Their Applications in Water Resources Engineering
- Copyright page
- Dedication
- Contents
- Preface
- Acknowledgments
- Part One Theory
- Part Two Applications
- 10 Rainfall Frequency Analysis
- 11 Flood Frequency Analysis
- 12 Water Quality Analysis
- 13 Drought Analysis
- 14 Compound Extremes
- 15 Network Design
- 16 Suspended Sediment Yield Analysis
- 17 Interbasin Transfer
- Index
- References
14 - Compound Extremes
from Part Two - Applications
Published online by Cambridge University Press: 03 January 2019
Book contents
- Copulas and Their Applications in Water Resources Engineering
- Copulas and Their Applications in Water Resources Engineering
- Copyright page
- Dedication
- Contents
- Preface
- Acknowledgments
- Part One Theory
- Part Two Applications
- 10 Rainfall Frequency Analysis
- 11 Flood Frequency Analysis
- 12 Water Quality Analysis
- 13 Drought Analysis
- 14 Compound Extremes
- 15 Network Design
- 16 Suspended Sediment Yield Analysis
- 17 Interbasin Transfer
- Index
- References
Summary
In this chapter, the copula modeling is applied to analyze compound extremes. The number of warm days (NWDs) and monthly precipitation are applied for the case study. The time-varying generalized extreme value (GEV) distribution with a linear trend in the location parameter is applied to model the NWDs after the change. The time-varying copula is applied to model the compound risk of hot and dry, as well as wet and cold days.
- Type
- Chapter
- Information
- Copulas and their Applications in Water Resources Engineering , pp. 537 - 549Publisher: Cambridge University PressPrint publication year: 2019
References
Hao, Z., AghaKouchak, A., and Phillips, T. J. (2013). Changes in concurrent monthly precipitation and temperature extremes. Environmental Research Letters, 8, 034014.Google Scholar
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 13, 245–259.CrossRefGoogle Scholar
Miao, C., Sun, Q., Duan, Q., and Wang, Y. (2016). Joint analysis of changes in temperature and precipitation on the Loess Plateau during the period 1961–2011. Climate Dynamics. doi:10.1007/s00382–016–3022-x.CrossRefGoogle Scholar
Pettitt, A. N. (1979). A non-parametric approach to the change-point problem. Journal of Applied Statistics, 18, 126–135.CrossRefGoogle Scholar
Sedlmeier, K., Mieruch, S., Shädler, G., and Kottmeier, C. (2016). Compound extremes in a changing climate – a Markov chain approach. Nonlinear Processes in Geophysics, 23, 375–390.Google Scholar
Svensson, C. and Jones, D. A. (2002). Dependence between extreme sea surge, river flow and precipitation in eastern Britain. International Journal of Climatology, 22, 1149–1168.Google Scholar
Wahl, T., Jain, S., Bender, J., Meyers, S. D., and Luther, M. E. (2015) Increasing risk of compound flooding from storm surge and rainfall or major US cities. Nature Climate Change, 5, 1093–1097. doi:10.1038/NCLIMATE2736.Google Scholar