Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1337-2021
https://doi.org/10.5194/nhess-21-1337-2021
Research article
 | 
03 May 2021
Research article |  | 03 May 2021

Soil moisture and streamflow deficit anomaly index: an approach to quantify drought hazards by combining deficit and anomaly

Eklavyya Popat and Petra Döll

Viewed

Total article views: 2,305 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,490 772 43 2,305 176 46 44
  • HTML: 1,490
  • PDF: 772
  • XML: 43
  • Total: 2,305
  • Supplement: 176
  • BibTeX: 46
  • EndNote: 44
Views and downloads (calculated since 19 Aug 2020)
Cumulative views and downloads (calculated since 19 Aug 2020)

Viewed (geographical distribution)

Total article views: 2,305 (including HTML, PDF, and XML) Thereof 2,227 with geography defined and 78 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Jun 2024
Download
Short summary
Two drought hazard indices are presented that combine drought deficit and anomaly aspects: one for soil moisture drought (SMDAI) where we simplified the DSI and the other for streamflow drought (QDAI), which is to our knowledge the first ever deficit anomaly drought index including surface water demand. Both indices are tested at the global scale with WaterGAP 2.2d outputs, providing more differentiated spatial and temporal patterns distinguishing the actual degree of respective drought hazard.
Altmetrics
Final-revised paper
Preprint