Does non-stationarity induced by multiyear drought  invalidate the paired-catchment method?

Zhang, Yunfan; Cheng, Lei; Zhang, Lu; Qin, Shujing; Liu, Liu; Liu, Pan; Liu, Yanghe

doi:https://doi.org/10.5194/hess-26-6379-2022

Articles | Volume 26, issue 24

https://doi.org/10.5194/hess-26-6379-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-6379-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 24

Research article

|

20 Dec 2022

Research article |

| 20 Dec 2022

Does non-stationarity induced by multiyear drought invalidate the paired-catchment method?

Yunfan Zhang, Lei Cheng, Lu Zhang, Shujing Qin, Liu Liu, Pan Liu, and Yanghe Liu

Supplement

https://doi.org/10.5194/hess-26-6379-2022-supplement

Data sets

SILO - Australian climate data from~1889 to yesterday Queensland Government https://www.longpaddock.qld.gov.au/silo/point-data/

Short summary

Multiyear drought has been demonstrated to cause non-stationary rainfall–runoff relationship. But whether changes can invalidate the most fundamental method (i.e., paired-catchment method (PCM)) for separating vegetation change impacts is still unknown. Using paired-catchment data with 10-year drought, PCM is shown to still be reliable even in catchments with non-stationarity. A new framework is further proposed to separate impacts of two non-stationary drivers, using paired-catchment data.