Investigation of hydrological time series using copulas for detecting
catchment characteristics and anthropogenic impacts

Sugimoto, Takayuki; Bárdossy, András; Pegram, Geoffrey G. S.; Cullmann, Johannes

doi:https://doi.org/10.5194/hess-20-2705-2016

Articles | Volume 20, issue 7

https://doi.org/10.5194/hess-20-2705-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-2705-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 7

Research article

|

11 Jul 2016

Research article |

| 11 Jul 2016

Investigation of hydrological time series using copulas for detecting catchment characteristics and anthropogenic impacts

Takayuki Sugimoto, András Bárdossy, Geoffrey G. S. Pegram, and Johannes Cullmann

Data sets

HydroSHEDS USGS (United States Geological Survey) http://hydrosheds.cr.usgs.gov/index.php

River Discharge Time Series GRDC (Global Runoff Data Centre): http://www.bafg.de/GRDC/EN/Home/homepage_node.html

Climatological time series: daily means of air temperature, daily sums of precipitation, DWD (German Weather Service) http://www.dwd.de/EN/Home/home_node.html, https://werdis.dwd.de/werdis/start_js_35JSP .do

Short summary

This paper is aims to detect the climate change impacts on the hydrological regime from the long-term discharge records. A new method for stochastic analysis using copulas, which has the advantage of scrutinizing the data independent of marginal, is suggested in this paper. Two measures are used in the copula domain: one focuses on the asymmetric characteristic of data and the other compares the distances between the copulas. These are calculated for 100 years of daily discharges and the results are discussed.