EGU2020-6317
https://doi.org/10.5194/egusphere-egu2020-6317
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Residual Mass Severity Index (RMSI) – a duration free method to characterise droughts

Rounak Afroz, Ashish Sharma, and Fiona Johnson
Rounak Afroz et al.
  • Water Research Center, Civil and Environmental Engineering,University of New South Wales, Australia (r.afroz@student.unsw.edu.au)

The complexity of representing droughts has led to many drought indices being developed. A common aspect for many of these indices, however, is the need to adopt a predefined time period, over which a drought is characterized. Therefore, to declare a catchment as drought-impacted, 6, 12 or 24-month SPI are required. Actual water allocations, however, are required at all times and are thus duration free; a concept well described by the well-known residual mass curve. Here we propose a new framework to characterize drought, termed as the Residual Mass Severity Index (RMSI). As the name suggests, the RMSI defines drought based on the magnitude of the residual mass in any location which is calculated by performing a water balance using a prescribed demand. Demand here is adopted as the median monthly precipitation for the region. Water shortages only become significant when there is a sustained deficit compared to this demand. The above described residual mass is standardized to formulate the RMSI across Australia. The new RMSI has been validated against established drought indices (such as the SPI) to highlight the advantages of a duration-free drought index.

RMSI provides a simple method of assessing sustained and severe drought anomalies which is important with expected increases in water scarcity due to anthropogenic climate change. We demonstrate that RMSI can be used as a tool to evaluate the performance of General Circulation Models (GMCs) in representing the sustainability of water resource systems as a product of resilience, reliability, and vulnerability (RRV) of the system. Future projections of drought from GCMs which perform well in representing RMSI in the RRV context in the historical climate are then compared to drought projections from the full CMIP5 ensemble.

Keywords: Drought, Residual Mass Curve, SPI, RRV, Climate Change, CMIP5 GCMs

How to cite: Afroz, R., Sharma, A., and Johnson, F.: Residual Mass Severity Index (RMSI) – a duration free method to characterise droughts , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6317, https://doi.org/10.5194/egusphere-egu2020-6317, 2020

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