Articles | Volume 23, issue 2
Hydrol. Earth Syst. Sci., 23, 723–739, 2019
https://doi.org/10.5194/hess-23-723-2019
Hydrol. Earth Syst. Sci., 23, 723–739, 2019
https://doi.org/10.5194/hess-23-723-2019
Research article
07 Feb 2019
Research article | 07 Feb 2019

Streamflow forecast sensitivity to air temperature forecast calibration for 139 Norwegian catchments

Trine J. Hegdahl et al.

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Manuscript not accepted for further review
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Cited articles

Aguado, E. and Burt, J. E.: Understanding weather and climate, 5th Edn., Upper Saddle River, NJ, USA, Pearson Prentice Hall, 2010. 
Beldring, S.: Distributed Element Water Balance Model System, report 4, 40 pp., Norwegian Water Resources and Energy directorate, Oslo, 2008. 
Bergström, S.: Development and application of a conceptual runoff model for Scandinavian catchments, Swedish Meteorological and Hydrological Institute SMHI, Report No. RHO 7, Norrköping, Sweden, 1976. 
Bremnes, J. B.: Improved calibration of precipitation forecasts using ensemble techniques. Part 2: Statistical calibration methods, met.no, Report no. 4, 34 pp., Oslo, Norway, available at: http://met-xpprod.customer.enonic.io/publikasjoner/met-report/met-report-2007 (last access: 1 February 2019), 2007. 
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Flood forecasting relies on high-quality meteorological data. This study shows how improved temperature forecasts improve streamflow forecasts in most cases, with the degree of improvement depending on season and region. To improve temperature forecasts further, catchment-specific methods should be developed to account for these seasonal and regional differences. In short, for climates with a seasonal snow cover, higher-quality temperature forecasts clearly improve flood forecasts.