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
ESSD | Articles | Volume 10, issue 2
Earth Syst. Sci. Data, 10, 787–804, 2018
https://doi.org/10.5194/essd-10-787-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 787–804, 2018
https://doi.org/10.5194/essd-10-787-2018
© 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 2: Quality control, time-series indices and homogeneity assessment

Lukas Gudmundsson et al.

Related authors

Terrestrial water loss at night: global relevance from observations and climate models
Ryan S. Padrón, Lukas Gudmundsson, Dominik Michel, and Sonia I. Seneviratne
Hydrol. Earth Syst. Sci., 24, 793–807, https://doi.org/10.5194/hess-24-793-2020,https://doi.org/10.5194/hess-24-793-2020, 2020
Short summary
Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land
Lea Beusch, Lukas Gudmundsson, and Sonia I. Seneviratne
Earth Syst. Dynam., 11, 139–159, https://doi.org/10.5194/esd-11-139-2020,https://doi.org/10.5194/esd-11-139-2020, 2020
Short summary
GRUN: an observation-based global gridded runoff dataset from 1902 to 2014
Gionata Ghiggi, Vincent Humphrey, Sonia I. Seneviratne, and Lukas Gudmundsson
Earth Syst. Sci. Data, 11, 1655–1674, https://doi.org/10.5194/essd-11-1655-2019,https://doi.org/10.5194/essd-11-1655-2019, 2019
Short summary
A new approach for assessing climate change impacts in ecotron experiments
Inne Vanderkelen, Jakob Zschleischler, Lukas Gudmundsson, Klaus Keuler, Francois Rineau, Natalie Beenaerts, Jaco Vangronsveld, and Wim Thiery
Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-267,https://doi.org/10.5194/bg-2019-267, 2019
Manuscript not accepted for further review
Historical and future changes in global flood magnitude – evidence from a model-observation investigation
Hong Xuan Do, Fang Zhao, Seth Westra, Michael Leonard, Lukas Gudmundsson, Jinfeng Chang, Philippe Ciais, Dieter Gerten, Simon N. Gosling, Hannes Müller Schmied, Tobias Stacke, Boulange Julien Eric Stanislas, and Yoshihide Wada
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-388,https://doi.org/10.5194/hess-2019-388, 2019
Revised manuscript under review for HESS
Short summary

Related subject area

Hydrology and Soil Science – Hydrology
A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China
Chao Gao, Buda Su, Valentina Krysanova, Qianyu Zha, Cai Chen, Gang Luo, Xiaofan Zeng, Jinlong Huang, Ming Xiong, Liping Zhang, and Tong Jiang
Earth Syst. Sci. Data, 12, 387–402, https://doi.org/10.5194/essd-12-387-2020,https://doi.org/10.5194/essd-12-387-2020, 2020
Short summary
Runoff reaction from extreme rainfall events on natural hillslopes: a data set from 132 large-scale sprinkling experiments in south-western Germany
Fabian Ries, Lara Kirn, and Markus Weiler
Earth Syst. Sci. Data, 12, 245–255, https://doi.org/10.5194/essd-12-245-2020,https://doi.org/10.5194/essd-12-245-2020, 2020
Short summary
Paleo-hydrologic reconstruction of 400 years of past flows at a weekly time step for major rivers of Western Canada
Andrew R. Slaughter and Saman Razavi
Earth Syst. Sci. Data, 12, 231–243, https://doi.org/10.5194/essd-12-231-2020,https://doi.org/10.5194/essd-12-231-2020, 2020
Short summary
Global River Radar Altimetry Time Series (GRRATS): new river elevation earth science data records for the hydrologic community
Stephen Coss, Michael Durand, Yuchan Yi, Yuanyuan Jia, Qi Guo, Stephen Tuozzolo, C. K. Shum, George H. Allen, Stéphane Calmant, and Tamlin Pavelsky
Earth Syst. Sci. Data, 12, 137–150, https://doi.org/10.5194/essd-12-137-2020,https://doi.org/10.5194/essd-12-137-2020, 2020
Short summary
An Arctic watershed observatory at Lake Peters, Alaska: weather–glacier–river–lake system data for 2015–2018
Ellie Broadman, Lorna L. Thurston, Erik Schiefer, Nicholas P. McKay, David Fortin, Jason Geck, Michael G. Loso, Matt Nolan, Stéphanie H. Arcusa, Christopher W. Benson, Rebecca A. Ellerbroek, Michael P. Erb, Cody C. Routson, Charlotte Wiman, A. Jade Wong, and Darrell S. Kaufman
Earth Syst. Sci. Data, 11, 1957–1970, https://doi.org/10.5194/essd-11-1957-2019,https://doi.org/10.5194/essd-11-1957-2019, 2019
Short summary

Cited articles

Alexandersson, H.: A homogeneity test applied to precipitation data, J. Climatol., 6, 661–675, 1986. 
Alkama, R., Marchand, L., Ribes, A., and Decharme, B.: Detection of global runoff changes: results from observations and CMIP5 experiments, Hydrol. Earth Syst. Sci., 17, 2967–2979, https://doi.org/10.5194/hess-17-2967-2013, 2013. 
Beck, H. E., de Roo, A., and van Dijk, A. I. J. M.: Global maps of streamflow characteristics based on observations from several thousand catchments, J. Hydrometeorol., 16, 1478–1501, 2015. 
Short summary
Time-series indices characterizing streamflow at annual, seasonal and monthly resolution at more than 30 000 stations around the world are presented. The data belong to the Global Streamflow and Metadata Archive (GSIM) and allow for an assessment of water balance components, hydrological extremes and the seasonality of water availability. The quality of the data is tested using automated methods to aid potential users to gauge the suitability of the data for specific applications.
Time-series indices characterizing streamflow at annual, seasonal and monthly resolution at more...
Citation