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

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Cited articles

Abramowitz, M. and Stegun, I. A. (Eds.): Handbook of mathematical formulas, graphs, and mathematical tables, Dover Publications, New York, 1965. 
Agnew, C. T.: Using the SPI to identify drought, Drought Network News (1994–2001), 1, available at: (last access: 21 August 2019), 2000. 
Alcamo, J., Döll, P., Henrich, T., Kasper, F., Lehner, B., Rösch, T., and Siebert S: Development and testing of the WaterGAP 2 global model of water use and availability, Hydrolog. Sci. J., 48, 317–337,, 2003. 
Bergez, J., Chabrier, P., Gary, C., Jeuffroy, M. H., Makowski, D., Quesnel, G., Ramat, E., Raynal, H., Rousse, N., Wallach, D., Debaeke, P., Durand, P., Duru, M., Dury, J., Faverdin, P., Gascuel-Odoux, C., and Garcia, F.: An open platform to build, evaluate and simulate integrated models of farming and agro-ecosystems, Environ. Modell. Softw., 39, 3949,, 2013. 
BoM: What is drought?, available at: (last access: 23 June 2020), 2018. 
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.
Final-revised paper