A Pareto-Based Sensitivity Analysis and Multiobjective Calibration Approach for Integrating Streamflow and Evaporation Data
MetadataShow full item record
AuthorYeste Donaire, Patricio; García Valdecasas Ojeda, Matilde María del Valle; Gámiz Fortís, Sonia Raquel; Castro Díez, Yolanda; Esteban Parra, María Jesús
Yeste, P., Melsen, L. A., García-Valdecasas Ojeda, M., Gámiz-Fortis, S. R., Castro-Díez, Y., & Esteban-Parra, M. J. (2023). A Pareto-based sensitivity analysis and multiobjective calibration approach for integrating streamflow and evaporation data. Water Resources Research, 59, e2022WR033235. [https://doi. org/10.1029/2022WR033235]
SponsorshipALHAMBRA cluster (http://alhambra. ugr.es) of the University of Granada; Project P20_00035, funded by the FEDER/ Junta de Andalucía-Consejería de Transformación Económica, Industria, Conocimiento y Universidades, the project CGL2017-89836-R; The Spanish Ministry of Economy and Competitiveness; European Community Funds (FEDER); The project PID2021- 126401OB-I00; MCIN/ AEI/10.13039/501100011033/FEDER Una manera de hacer Europa and the project LifeWatch-2019-10-UGR-01 funded by FEDER/Ministerio de Ciencia e Innovación; The Ministry of Education, Culture and Sport of Spain through an FPU Grant (reference FPU17/02098); Aid for Research Stays in the Hydrology and Quantitative Water Management Group of Wageningen University (reference EST19/00169); Universidad de Granada/CBUA
Evaporation is gaining increasing attention as a calibration and evaluation variable in hydrologic studies that seek to improve the physical realism of hydrologic models and go beyond the long-established streamflow-only calibration. However, this trend is not yet reflected in sensitivity analyses aimed at determining the relevant parameters to calibrate, where streamflow has traditionally played a leading role. On the basis of a Pareto optimization approach, we propose a framework to integrate the temporal dynamics of streamflow and evaporation into the sensitivity analysis and calibration stages of the hydrologic modeling exercise, here referred to as “Pareto-based sensitivity analysis” and “multiobjective calibration.” The framework is successfully applied to a case study using the Variable Infiltration Capacity (VIC) model in three catchments located in Spain as representative of the different hydroclimatic conditions within the Iberian Peninsula. Several VIC vegetation parameters were identified as important to the performance estimates for evaporation during sensitivity analysis, and therefore were suitable candidates to improve the model representation of evaporative fluxes. Sensitivities for the streamflow performance, in turn, were mostly driven by the soil and routing parameters, with little contribution from the vegetation parameters. The multiobjective calibration experiments were carried out for the most parsimonious parameterization after a comparative analysis of the performance gains and losses for streamflow and evaporation, and yielded optimal adjustments for both hydrologic variables simultaneously. Results from this study will help to develop a better understanding of the trade-offs resulting from the joint integration of streamflow and evaporation data into modeling frameworks.