Articles | Volume 20, issue 2
https://doi.org/10.5194/hess-20-659-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-659-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Technical Note: Initial assessment of a multi-method approach to spring-flood forecasting in Sweden
Research & Development (hydrology), Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
C. B. Uvo
Department of Water Resources Engineering, Lund University, Box 118, 221 00 Lund, Sweden
K. Foster
Research & Development (hydrology), Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Department of Water Resources Engineering, Lund University, Box 118, 221 00 Lund, Sweden
Research & Development (hydrology), Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Viewed
Total article views: 2,479 (including HTML, PDF, and XML)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,408 | 920 | 151 | 2,479 | 303 | 107 | 102 |
- HTML: 1,408
- PDF: 920
- XML: 151
- Total: 2,479
- Supplement: 303
- BibTeX: 107
- EndNote: 102
Cumulative views and downloads
(calculated since 23 Jun 2015)
Total article views: 1,815 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Feb 2016)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,058 | 619 | 138 | 1,815 | 303 | 98 | 94 |
- HTML: 1,058
- PDF: 619
- XML: 138
- Total: 1,815
- Supplement: 303
- BibTeX: 98
- EndNote: 94
Total article views: 664 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Jun 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
350 | 301 | 13 | 664 | 9 | 8 |
- HTML: 350
- PDF: 301
- XML: 13
- Total: 664
- BibTeX: 9
- EndNote: 8
Cited
12 citations as recorded by crossref.
- Integrating weather and climate predictions for seamless hydrologic ensemble forecasting: A case study in the Yalong River basin A. Ye et al. 10.1016/j.jhydrol.2017.01.053
- Complex relationship between seasonal streamflow forecast skill and value in reservoir operations S. Turner et al. 10.5194/hess-21-4841-2017
- Leveraging GCM-based forecasts for enhanced seasonal streamflow prediction in diverse hydrological regimes M. Girons Lopez et al. 10.1016/j.jhydrol.2024.132504
- Development of a monthly to seasonal forecast framework tailored to inland waterway transport in central Europe D. Meißner et al. 10.5194/hess-21-6401-2017
- Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: the effect of preprocessing and post-processing on skill and statistical consistency D. Lucatero et al. 10.5194/hess-22-3601-2018
- The development and evaluation of a hydrological seasonal forecast system prototype for predicting spring flood volumes in Swedish rivers K. Foster et al. 10.5194/hess-22-2953-2018
- Reliable long-range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model J. Bennett et al. 10.1002/2016WR019193
- Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
- Postprocessing of hydrometeorological ensemble forecasts based on multisource precipitation in Ganjiang River basin, China X. Liu et al. 10.1016/j.jhydrol.2021.127323
- The spatio-temporal influence of atmospheric teleconnection patterns on hydrology in Sweden C. Uvo et al. 10.1016/j.ejrh.2021.100782
- Climate Services for Renewable Energy in the Nordic Electricity Market K. Halsnæs et al. 10.3390/cli9030046
- Upgrade of a climate service tailored to water reservoirs management E. Sánchez-García et al. 10.1016/j.cliser.2021.100281
12 citations as recorded by crossref.
- Integrating weather and climate predictions for seamless hydrologic ensemble forecasting: A case study in the Yalong River basin A. Ye et al. 10.1016/j.jhydrol.2017.01.053
- Complex relationship between seasonal streamflow forecast skill and value in reservoir operations S. Turner et al. 10.5194/hess-21-4841-2017
- Leveraging GCM-based forecasts for enhanced seasonal streamflow prediction in diverse hydrological regimes M. Girons Lopez et al. 10.1016/j.jhydrol.2024.132504
- Development of a monthly to seasonal forecast framework tailored to inland waterway transport in central Europe D. Meißner et al. 10.5194/hess-21-6401-2017
- Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: the effect of preprocessing and post-processing on skill and statistical consistency D. Lucatero et al. 10.5194/hess-22-3601-2018
- The development and evaluation of a hydrological seasonal forecast system prototype for predicting spring flood volumes in Swedish rivers K. Foster et al. 10.5194/hess-22-2953-2018
- Reliable long-range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model J. Bennett et al. 10.1002/2016WR019193
- Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
- Postprocessing of hydrometeorological ensemble forecasts based on multisource precipitation in Ganjiang River basin, China X. Liu et al. 10.1016/j.jhydrol.2021.127323
- The spatio-temporal influence of atmospheric teleconnection patterns on hydrology in Sweden C. Uvo et al. 10.1016/j.ejrh.2021.100782
- Climate Services for Renewable Energy in the Nordic Electricity Market K. Halsnæs et al. 10.3390/cli9030046
- Upgrade of a climate service tailored to water reservoirs management E. Sánchez-García et al. 10.1016/j.cliser.2021.100281
Saved (preprint)
Latest update: 11 Jan 2025
Short summary
New approaches to spring-flood forecasting that reflect the latest developments with respect to analysis and modelling on seasonal timescales are presented and evaluated. Three main approaches, represented by specific methods, are evaluated in spring-flood hindcasts for three Swedish rivers over a 10-year period. When combining all forecasts in a weighted multi-model approach, a mean improvement over all locations and lead times of nearly 5 % was indicated, as compared with today's approach.
New approaches to spring-flood forecasting that reflect the latest developments with respect to...