Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 10.951 IF 10.951
  • IF 5-year value: 9.899 IF 5-year
    9.899
  • CiteScore value: 9.74 CiteScore
    9.74
  • SNIP value: 3.111 SNIP 3.111
  • IPP value: 8.99 IPP 8.99
  • SJR value: 5.229 SJR 5.229
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 38 Scimago H
    index 38
  • h5-index value: 33 h5-index 33
Volume 10, issue 2
Earth Syst. Sci. Data, 10, 765–785, 2018
https://doi.org/10.5194/essd-10-765-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 765–785, 2018
https://doi.org/10.5194/essd-10-765-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  17 Apr 2018

17 Apr 2018

The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of a daily streamflow archive and metadata

Hong Xuan Do et al.
Viewed  
Total article views: 3,862 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,830 987 45 3,862 112 36 49
  • HTML: 2,830
  • PDF: 987
  • XML: 45
  • Total: 3,862
  • Supplement: 112
  • BibTeX: 36
  • EndNote: 49
Views and downloads (calculated since 20 Sep 2017)
Cumulative views and downloads (calculated since 20 Sep 2017)
Viewed (geographical distribution)  
Total article views: 3,482 (including HTML, PDF, and XML) Thereof 3,407 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
Latest update: 19 Sep 2019
Download
Short summary
The production of 30 959 daily streamflow time series in the Global Streamflow and Metadata Archive (GSIM) project is presented. The paper also describes the development of three metadata products that are freely available. Having collated an unprecedented number of stations and associated metadata, GSIM can be used to advance large-scale hydrological research and improve understanding of the global water cycle.
The production of 30 959 daily streamflow time series in the Global Streamflow and Metadata...
Citation