Projects per year
Abstract
Providing probabilistic forecasts using Ensemble Prediction Systems has become increasingly popular in both the meteorological and hydrological communities. Compared to conventional deterministic forecasts, probabilistic forecasts may provide more reliable forecasts of a few hours to a number of days ahead, and hence are regarded as better tools for taking uncertainties into consideration and hedging against weather risks. It is essential to evaluate performance of raw ensemble forecasts and their potential values in forecasting extreme hydro-meteorological events. This study evaluates ECMWF's medium-range ensemble forecasts of precipitation over the period 1 January 2008 to 30 September 2012 on a selected midlatitude large-scale river basin, the Huai river basin (ca. 270 000 km2) in central-east China. The evaluation unit is sub-basin in order to consider forecast performance in a hydrologically relevant way. The study finds that forecast performance varies with sub-basin properties, between flooding and non-flooding seasons, and with the forecast properties of aggregated time steps and lead times. Although the study does not evaluate any hydrological applications of the ensemble precipitation forecasts, its results have direct implications in hydrological forecasts should these ensemble precipitation forecasts be employed in hydrology.
Original language | English |
---|---|
Pages (from-to) | 1615-1628 |
Number of pages | 14 |
Journal | Quarterly Journal of the Royal Meteorological Society |
Volume | 140 |
Issue number | 682 |
Early online date | 14 Dec 2013 |
DOIs | |
Publication status | Published - Jul 2014 |
Keywords
- ECMWF EPS
- Huai
- skill score
- diurnal cycle
Profiles
-
Helen He
- Tyndall Centre for Climate Change Research - Associate Professor Hydrology & Climate Change Rsch
- School of Environmental Sciences - Associate Professor Hydrology & Climate Change Rsch
- Water Security Research Centre - Member
- Centre for Ocean and Atmospheric Sciences - Member
- Geosciences - Member
- ClimateUEA - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching & Research
Projects
- 1 Finished
-
Improving the Communication and Use of Ensemble Flood Predictions (Lead KCL)
He, H., Cloke (KCL), H. & Demeritt (KCL), D.
Economic and Social Research Council
27/06/11 → 21/05/12
Project: Research
Research output
- 34 Citations (Scopus)
- 2 Article
-
Coupling ensemble weather predictions based on TIGGE database with Grid-Zinanjiang model for flood forecast
Bao, H-J., Zhao, L-N., He, Y., Li, Z-J., Wetterhall, F., Cloke, H. L., Pappenberger, F. & Manful, D., 28 Feb 2011, In: Advances in Geosciences. 29, p. 61-67 7 p.Research output: Contribution to journal › Article › peer-review
Open Access49 Citations (Scopus) -
Ensemble forecasting using TIGGE for the July-September 2008 floods in the Upper Huai catchment: A case study
He, Y., Wetterhall, F., Bao, H., Cloke, H., Li, Z., Pappenberger, F., Hu, Y., Manful, D. & Huang, Y., 2010, In: Atmospheric Science Letters. 11, 2, p. 132-138 7 p.Research output: Contribution to journal › Article › peer-review
52 Citations (Scopus)