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

Popat, Eklavyya; Döll, Petra

doi:https://doi.org/10.5194/nhess-21-1337-2021

Articles | Volume 21, issue 5

https://doi.org/10.5194/nhess-21-1337-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

https://doi.org/10.5194/nhess-21-1337-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 5

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

Supplement

https://doi.org/10.5194/nhess-21-1337-2021-supplement

Data sets

Soil moisture and streamflow deficit anomaly index: An approach to quantify drought hazards by combining deficit and anomaly- outputs E. Popat and P. Döll https://doi.org/10.6084/m9.figshare.14213852

The global water resources and use model WaterGAP v2.2d - Standard model output H. Müller Schmied, D. Cáceres, S. Eisner, M. Flörke, C. Herbert, C. Niemann, T. A. Peiris, E. Popat, F. T. Portmann, R. Reinecke, S. Shadkam, T. Trautmann, and P. Döll https://doi.org/10.1594/PANGAEA.918447

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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.