Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Discussion papers | Copyright
https://doi.org/10.5194/gmd-2018-118
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 14 May 2018

Development and technical paper | 14 May 2018

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Geoscientific Model Development (GMD) and is expected to appear here in due course.

Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS v2.2 Seasonal v1.0

Rebecca Emerton1,2, Ervin Zsoter1,2, Louise Arnal1,2, Hannah L. Cloke1,3, Davide Muraro6, Christel Prudhomme2,4,5, Elisabeth M. Stephens1, Peter Salamon6, and Florian Pappenberger2 Rebecca Emerton et al.
  • 1University of Reading, Reading, UK
  • 2European Centre for Medium Range Weather Forecasts (ECMWF), Reading, UK
  • 3Uppsala University, Uppsala, Sweden
  • 4Centre for Ecology and Hydrology (CEH), Wallingford, UK
  • 5University of Loughborough, Loughborough, UK
  • 6Joint Research Centre (JRC), European Commission, Ispra, Italy

Abstract. Global overviews of upcoming flood and drought events are key for many applications, including disaster risk reduction initiatives. Seasonal forecasts are designed to provide early indications of such events weeks, or even months, in advance, but seasonal forecasts for hydrological variables at large or global scales are few and far between. Here, we present the first operational global scale seasonal hydro-meteorological forecasting system: GloFAS-Seasonal. Developed as an extension of the Global Flood Awareness System (GloFAS), GloFAS-Seasonal couples seasonal meteorological forecasts from ECMWF with a hydrological model, to provide openly available probabilistic forecasts of river flow out to 4 months ahead for the global river network. This system has potential benefits not only for disaster risk reduction through early awareness of floods and droughts, but also for water-related sectors such as agriculture and water resources management, in particular for regions where no other forecasting system exists. We describe the key hydro-meteorological components and computational framework of GloFAS-Seasonal, alongside the forecast products available, before discussing initial evaluation results and next steps.

Download & links
Rebecca Emerton et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Rebecca Emerton et al.
Rebecca Emerton et al.
Viewed
Total article views: 908 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
785 115 8 908 13 8 8
  • HTML: 785
  • PDF: 115
  • XML: 8
  • Total: 908
  • Supplement: 13
  • BibTeX: 8
  • EndNote: 8
Views and downloads (calculated since 14 May 2018)
Cumulative views and downloads (calculated since 14 May 2018)
Viewed (geographical distribution)
Total article views: 908 (including HTML, PDF, and XML) Thereof 903 with geography defined and 5 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 16 Aug 2018
Publications Copernicus
Download
Short summary
Global overviews of upcoming flood and drought events are key for many applications, from agriculture to disaster risk reduction. Seasonal forecasts are designed to provide early indications of such events weeks, or even months, in advance. This paper introduces GloFAS-Seasonal, the first operational global scale seasonal hydro-meteorological forecasting system, producing openly available forecasts of high and low river flow out to 4 months ahead.
Global overviews of upcoming flood and drought events are key for many applications, from...
Citation
Share