Articles | Volume 26, issue 13
Research article
13 Jul 2022
Research article |  | 13 Jul 2022

Characterizing natural variability in complex hydrological systems using passive microwave-based climate data records: a case study for the Okavango Delta

Robin van der Schalie, Mendy van der Vliet, Clément Albergel, Wouter Dorigo, Piotr Wolski, and Richard de Jeu


Total article views: 1,460 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,185 246 29 1,460 10 11
  • HTML: 1,185
  • PDF: 246
  • XML: 29
  • Total: 1,460
  • BibTeX: 10
  • EndNote: 11
Views and downloads (calculated since 19 Jan 2022)
Cumulative views and downloads (calculated since 19 Jan 2022)

Viewed (geographical distribution)

Total article views: 1,460 (including HTML, PDF, and XML) Thereof 1,320 with geography defined and 140 with unknown origin.
Country # Views %
  • 1
Latest update: 30 Mar 2023
Short summary
Climate data records of surface soil moisture, vegetation optical depth, and land surface temperature can be derived from passive microwave observations. The ability of these datasets to properly detect anomalies and extremes is very valuable in climate research and can especially help to improve our insight in complex regions where the current climate reanalysis datasets reach their limitations. Here, we present a case study over the Okavango Delta, where we focus on inter-annual variability.