Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data
Abstract Hydrological modeling realism is a central research question in hydrological studies. However, it is still a common practice to calibrate hydrological models using streamflow as a single hydrological variable, which can lead to large parameter uncertainty in hydrological simulations. To add...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-02-01
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| Series: | Applied Water Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s13201-024-02102-9 |
| _version_ | 1797266638050951168 |
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| author | Babak Mohammadi Hongkai Gao Petter Pilesjö Zheng Duan |
| author_facet | Babak Mohammadi Hongkai Gao Petter Pilesjö Zheng Duan |
| author_sort | Babak Mohammadi |
| collection | DOAJ |
| description | Abstract Hydrological modeling realism is a central research question in hydrological studies. However, it is still a common practice to calibrate hydrological models using streamflow as a single hydrological variable, which can lead to large parameter uncertainty in hydrological simulations. To address this issue, this study employed a multi-variable calibration framework to reduce parameter uncertainty in a glacierized catchment. The current study employed multi-variable calibration using three different calibration schemes to calibrate a glacio-hydrological model (namely the FLEXG) in northern Sweden. The schemes included using only gauged streamflow data (scheme 1), using satellite snow cover area (SCA) derived from MODIS data (scheme 2), and using both gauged streamflow data and satellite SCA data as references for calibration (scheme 3) of the FLEXG model. This study integrated the objective functions of satellite-derived SCA and gauged streamflow into one criterion for the FLEXG model calibration using a weight-based approach. Our results showed that calibrating the FLEXG model based on solely satellite SCA data (from MODIS) produced an accurate simulation of SCA but poor simulation of streamflow. In contrast, calibrating the FLEXG model based on the measured streamflow data resulted in minimum error for streamflow simulation but high error for SCA simulation. The promising results were achieved for glacio-hydrological simulation with acceptable accuracy for simulation of both streamflow and SCA, when both streamflow and SCA data were used for calibration of FLEXG. Therefore, multi-variable calibration in a glacierized basin could provide more realistic hydrological modeling in terms of multiple glacio-hydrological variables. |
| first_indexed | 2024-03-07T14:47:40Z |
| format | Article |
| id | doaj.art-70a85f2a7acb49deb631c5b3209e1a21 |
| institution | Directory Open Access Journal |
| issn | 2190-5487 2190-5495 |
| language | English |
| last_indexed | 2024-04-25T01:03:52Z |
| publishDate | 2024-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Water Science |
| spelling | doaj.art-70a85f2a7acb49deb631c5b3209e1a212024-03-10T12:19:24ZengSpringerOpenApplied Water Science2190-54872190-54952024-02-0114311710.1007/s13201-024-02102-9Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover dataBabak Mohammadi0Hongkai Gao1Petter Pilesjö2Zheng Duan3Department of Physical Geography and Ecosystem Science, Lund UniversityKey Laboratory of Geographic Information Science (Ministry of Education of China), East China Normal UniversityDepartment of Physical Geography and Ecosystem Science, Lund UniversityDepartment of Physical Geography and Ecosystem Science, Lund UniversityAbstract Hydrological modeling realism is a central research question in hydrological studies. However, it is still a common practice to calibrate hydrological models using streamflow as a single hydrological variable, which can lead to large parameter uncertainty in hydrological simulations. To address this issue, this study employed a multi-variable calibration framework to reduce parameter uncertainty in a glacierized catchment. The current study employed multi-variable calibration using three different calibration schemes to calibrate a glacio-hydrological model (namely the FLEXG) in northern Sweden. The schemes included using only gauged streamflow data (scheme 1), using satellite snow cover area (SCA) derived from MODIS data (scheme 2), and using both gauged streamflow data and satellite SCA data as references for calibration (scheme 3) of the FLEXG model. This study integrated the objective functions of satellite-derived SCA and gauged streamflow into one criterion for the FLEXG model calibration using a weight-based approach. Our results showed that calibrating the FLEXG model based on solely satellite SCA data (from MODIS) produced an accurate simulation of SCA but poor simulation of streamflow. In contrast, calibrating the FLEXG model based on the measured streamflow data resulted in minimum error for streamflow simulation but high error for SCA simulation. The promising results were achieved for glacio-hydrological simulation with acceptable accuracy for simulation of both streamflow and SCA, when both streamflow and SCA data were used for calibration of FLEXG. Therefore, multi-variable calibration in a glacierized basin could provide more realistic hydrological modeling in terms of multiple glacio-hydrological variables.https://doi.org/10.1007/s13201-024-02102-9Glacier hydrologyMulti-variable calibrationFLEXGMODISSnow cover areaLandsat-8 |
| spellingShingle | Babak Mohammadi Hongkai Gao Petter Pilesjö Zheng Duan Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data Applied Water Science Glacier hydrology Multi-variable calibration FLEXG MODIS Snow cover area Landsat-8 |
| title | Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data |
| title_full | Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data |
| title_fullStr | Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data |
| title_full_unstemmed | Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data |
| title_short | Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data |
| title_sort | improving glacio hydrological model calibration and model performance in cold regions using satellite snow cover data |
| topic | Glacier hydrology Multi-variable calibration FLEXG MODIS Snow cover area Landsat-8 |
| url | https://doi.org/10.1007/s13201-024-02102-9 |
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