Corrigendum to “Simulating glacier mass balance and its contribution to runoff in Northern Sweden” [J. Hydrol. 620 (2023) 129404] (Journal of Hydrology (2023) 620(PA), (S0022169423003463), (10.1016/j.jhydrol.2023.129404))

Corrigendum analysis This corrigendum addresses our paper entitled “Simulating glacier mass balance and its contribution to runoff in Northern Sweden” published in 2023. Our study focused on the application and evaluation of the FLEX^G model in simulating various hydrological processes in the Torne River basin in northern Sweden. The model was calibrated and validated using measured streamflow data at the basin outlet. The simulated Snow Cover Area (SCA) by the FLEX^G model was then compared with satellite-based SCA data derived from MODIS. Additionally, the study simulated other glacio-hydrological variables, such as glacier mass balance and Snow Water Equivalent (SWE), using the FLEX^G model to provide a comprehensive view of the studied catchment. Upon review, we noticed that the SWE values presented in Section 4.5 and Figure 11 were inaccurately reported. To rectify this error, we provide a revised version of Section 4.5 and request the replacement of Figure 11 with the corrected version. The corrected version is presented as follows: 4.5 Simulation of snow water equivalent Fig. 11 presents a box plot of the Snow Water Equivalent (SWE) simulated by the FLEX^G model for each season from 1989 to 2018. The SWE values reached peak ranges during the later winter and spring months (February to May), and lower ranges during the summer and autumn. The simulated SWE values from the FLEX^G model were further evaluated against the NH-SWE (Northern Hemisphere Snow Water Equivalent dataset based on in situ snow depth time series) database (Fontrodona-Bach et al., 2023). Specifically, we selected the ID “NH_SWE_ID_10879”, corresponding to a nearby station to our study area, and used the SWE data spanning the period 1989-2018 as the reference data for the evaluation. The evaluation showed that the simulated SWE values by the FLEX^G model had an RMSE of 38.33 mm, an R² of 0.83, and an NSE of 0.74. These results demonstrate the good performance of the FLEX^G model in simulating SWE.[Formula presented] Fig. 11. Snow Water Equivalent (SWE) simulation in each season from 1989 to 2018 by the FLEX^G model. The values of SWE presented in Table 5 also require corrections as follows (refer to Section 4.8, 'Trend analysis of the FLEX^G simulated outputs'): [Table presented] MK = Z-value, SS = Sens's slope × 10, snow water equivalent (SWE).Other results reported in Mohammadi et al. (2023) remain unaffected by these corrections. The authors would like to sincerely apologize for any inconvenience caused.