Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 1
Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-75-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-75-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 1
Research article
 | 
08 Jan 2020
Research article |  | 08 Jan 2020

A global-scale evaluation of extreme event uncertainty in the eartH2Observe project

Toby R. Marthews, Eleanor M. Blyth, Alberto Martínez-de la Torre, and Ted I. E. Veldkamp

Viewed

Total article views: 3,552 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,489 1,004 59 3,552 303 62 77
  • HTML: 2,489
  • PDF: 1,004
  • XML: 59
  • Total: 3,552
  • Supplement: 303
  • BibTeX: 62
  • EndNote: 77
Views and downloads (calculated since 09 Jan 2019)
Cumulative views and downloads (calculated since 09 Jan 2019)

Viewed (geographical distribution)

Total article views: 3,552 (including HTML, PDF, and XML) Thereof 3,038 with geography defined and 514 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Climate change impact modellers can only act on predictions of the occurrence of an extreme event in the Earth system if they know the uncertainty in that prediction and how uncertainty is attributable to different model components. Using eartH2Observe data, we quantify the balance between different sources of uncertainty in global evapotranspiration and runoff, making a crucial contribution to understanding the spatial distribution of water resources allocation deficiencies.
Read more