Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 8
Articles | Volume 11, issue 8
https://doi.org/10.5194/gmd-11-3327-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-3327-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 8
Development and technical paper
 | Highlight paper
 | 
21 Aug 2018
Development and technical paper | Highlight paper |  | 21 Aug 2018

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

Rebecca Emerton, Ervin Zsoter, Louise Arnal, Hannah L. Cloke, Davide Muraro, Christel Prudhomme, Elisabeth M. Stephens, Peter Salamon, and Florian Pappenberger

Viewed

Total article views: 11,603 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
8,734 2,721 148 11,603 698 183 232
  • HTML: 8,734
  • PDF: 2,721
  • XML: 148
  • Total: 11,603
  • Supplement: 698
  • BibTeX: 183
  • EndNote: 232
Views and downloads (calculated since 14 May 2018)
Cumulative views and downloads (calculated since 14 May 2018)

Viewed (geographical distribution)

Total article views: 11,603 (including HTML, PDF, and XML) Thereof 10,509 with geography defined and 1,094 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Nov 2025
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.
Read more
Share