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Water Resources

, Volume 45, Supplement 1, pp 122–127 | Cite as

Assessment of the Long-Term Hydrological Forecast Skill Evolution across Lead-Times within the Ensemble Streamflow Prediction Framework

  • V. M. MoreidoEmail author
Article
  • 6 Downloads

Abstract

Long-term or seasonal forecasting is crucial for the management of large water systems. Advances in catchment hydrology, such as mathematical models of catchment processes, are proven to be capable of creating reliable streamflow forecasting systems. In this study, the limits of predictability of streamflow in a snowmelt-dominated river basin are examined and a new illustration of the forecast efficiency across different issue dates and lead times—the so-called “forecastability map”—is demonstrated.

Keywords

long-term hydrological forecasting forecast skill hydrological predictability 

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Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.Water Problems InstituteRussian Academy of SciencesMoscowRussia

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