Regional adaptability of global and regional hydrological forecast system

Wang, Han; Zhong, Ping-an; Zsoter, Ervin; Prudhomme, Christel ORCID: https://orcid.org/0000-0003-1722-2497; Pappenberger, Florian; Xu, Bin. 2023 Regional adaptability of global and regional hydrological forecast system [in special issue: Hydrometeorological observation and modeling] Water, 15 (2), 347. 21, pp. https://doi.org/10.3390/w15020347

Before downloading, please read NORA policies.

Preview

Text
N535359JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Download (4MB) | Preview

Official URL: http://dx.doi.org/10.3390/w15020347

Abstract/Summary

Our paper aims to improve flood forecasting by establishing whether a global hydrological forecast system could be used as an alternative to a regional system, or whether it could provide additional information. This paper was based on the operational Global Flood Awareness System (GloFAS) of the European Commission Copernicus Emergency Management Service, as well as on a regional hydrological forecast system named RHFS, which was created with observations recorded in the Wangjiaba river basin in China. We compared the discharge simulations of the two systems, and tested the influence of input. Then the discharge ensemble forecasts were evaluated for lead times of 1–7 d, and the impact on the forecasts of errors in initialization and modelling were considered. We also used quantile mapping (QM) to post-process the discharge simulations and forecasts. The results showed: (1) GloFAS (KGE of 0.54) had a worse discharge simulation than RHFS (KGE of 0.88), mainly because of the poor quality of the input; (2) the average forecast skill of GloFAS (CRPSS about 0.2) was inferior to that of RHFS (CRPSS about 0.6), because of the errors in the initialization and the model, however, GloFAS had a higher forecast quality than RHFS at high flow with longer lead times; (3) QM performed well at eliminating errors in input, the model, and the initialization.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.3390/w15020347
UKCEH and CEH Sections/Science Areas:	UKCEH Fellows
ISSN:	2073-4441
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	discharge ensemble forecast, global hydrological forecast system, regional hydrological forecast system, influence factors
NORA Subject Terms:	Hydrology
Date made live:	12 Jul 2023 16:47 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/535359

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.3390/w15020347

UKCEH and CEH Sections/Science Areas:

UKCEH Fellows

ISSN:

2073-4441

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

discharge ensemble forecast, global hydrological forecast system, regional hydrological forecast system, influence factors