Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-277-2019
https://doi.org/10.5194/hess-23-277-2019
Research article
 | 
17 Jan 2019
Research article |  | 17 Jan 2019

Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation

Bibi S. Naz, Wolfgang Kurtz, Carsten Montzka, Wendy Sharples, Klaus Goergen, Jessica Keune, Huilin Gao, Anne Springer, Harrie-Jan Hendricks Franssen, and Stefan Kollet

Viewed

Total article views: 4,689 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,859 1,640 190 4,689 209 109 117
  • HTML: 2,859
  • PDF: 1,640
  • XML: 190
  • Total: 4,689
  • Supplement: 209
  • BibTeX: 109
  • EndNote: 117
Views and downloads (calculated since 23 Mar 2018)
Cumulative views and downloads (calculated since 23 Mar 2018)

Viewed (geographical distribution)

Total article views: 4,689 (including HTML, PDF, and XML) Thereof 4,199 with geography defined and 490 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Oct 2024
Download
Short summary
This study investigates the value of assimilating coarse-resolution remotely sensed soil moisture data into high-resolution land surface models for improving soil moisture and runoff modeling. The soil moisture estimates in this study, with complete spatio-temporal coverage and improved spatial resolution from the assimilation, offer a new reanalysis product for the monitoring of surface soil water content and other hydrological fluxes at 3 km resolution over Europe.