EGU22-12320
https://doi.org/10.5194/egusphere-egu22-12320
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Hydrological Model Calibration Strategy for Climate Change Impacts Study  

Ye-Rin Lee1, Yoon-Jeong Kwon2, Hojun Kim3, and Hyun-Han Kwon4
Ye-Rin Lee et al.
  • 1Sejong University, Civil &Environmental Engineering, Korea, Republic of (lyrvv@sju.ac.kr)
  • 2Sejong University, Civil &Environmental Engineering, Korea, Republic of (yoonjeongk@sju.ac.kr)
  • 3Sejong University, Civil &Environmental Engineering, Korea, Republic of (khj0215@sju.ac.kr)
  • 4Sejong University, Civil &Environmental Engineering, Korea, Republic of (hkwon@sejong.ac.kr)

Hydrological models require calibration to provide accurate simulation, and the calibration usually often requires long-term historical hydrometeorological data. The calibrated parameters obtained from historical data are assumed to be stationary. However, the stationary assumption for the para terms in the hydrological modeling may not be appropriate for the future climate, especially in a changing climate. This study aims to explore different approaches to minimize this issue by comparing calibration frameworks and offer alternative strategies to improve model robustness for climate change impact studies. The optimization strategies consider nonstationarity in the model parameters associated with different climate regimes and provide a functional form with dynamic climate predictors to better represent abnormal climates informed by a set of climate change scenarios over South Korea.

How to cite: Lee, Y.-R., Kwon, Y.-J., Kim, H., and Kwon, H.-H.: Hydrological Model Calibration Strategy for Climate Change Impacts Study  , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12320, https://doi.org/10.5194/egusphere-egu22-12320, 2022.

Displays

Display file