Search
Abstract
Discharge events induced by mixture of snowmelt and rainfall are strongly nonlinear due to consequences of rain-on-snow phenomena and snowmelt dependence on energy balance. However, they received relatively little attention, especially in high-resolution discharge forecasting. In this study, we use Random Forests models for 24 h discharge forecasting in 1 h resolution in a 105.9 km 2 urbanized catchment in NE Poland: Biala River. The forcing data are delivered by Weather Research and Forecasting (WRF) model in 1 h temporal and 4 × 4 km spatial resolutions. The discharge forecasting models are set in two scenarios with snowmelt and rainfall and rainfall only predictors in order to highlight the effect of snowmelt on the results (both scenarios use also pre-forecast discharge based predictors). We show that inclusion of snowmelt decrease the forecast errors for longer forecasts’ lead times. Moreover, importance of discharge based predictors is higher in the rainfall only models then in the snowmelt and rainfall models. We conclude that the role of snowmelt for discharge forecasting in mixed snowmelt and rainfall environments is in accounting for nonlinear physical processes, such as initial wetting and rain on snow, which cannot be properly modelled by rainfall only
Citations
-
9
CrossRef
-
0
Web of Science
-
9
Scopus
Authors (2)
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
Water
no. 10,
edition 1,
pages 1 - 18,
ISSN: 2073-4441 - Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Berezowski T., Chybicki A.: High-Resolution Discharge Forecasting for Snowmelt and Rainfall Mixed Events// Water. -Vol. 10, iss. 1 (2018), s.1-18
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/w10010056
- Verified by:
- Gdańsk University of Technology
seen 156 times
Recommended for you
High-resolution fire danger forecast for Poland based on the Weather Research and Forecasting Model
- A. Mandal,
- G. Nykiel,
- T. Strzyzewski
- + 4 authors