Published November 11, 2023 | Version 1.0

Warragamba inflow data, predictors and code

  • 1. ARC Centre of Excellence for Climate Extremes, UNSW Sydney, NSW 2052 Australia
  • 2. Facultad de Ingeniería, Universidad Andrés Bello, Antonio Varas 880, Providencia, Santiago, Chile
  • 3. School of Civil & Environmental Engineering, UNSW Sydney, NSW 2052 Australia

Description

This repository contains data and code used for the analyses presented in Devanand et al. (2023) Can climate knowledge enable Warragamba Dam, Sydney, Australia to be used to manage flood risk?, 10.1088/1748-9326/ad0afb. The csv files contain historical inflow into the Warragamba dam in eastern Australia for the period 1970-2022, the large scale climate indices, and antecedent soil moisture. The climate predictors are obtained from https://psl.noaa.gov/gcos_wgsp/Timeseries/. The shape file 'warragamba_catchment.shp' is the catchment area that is used to estimate catchment average soil moisture from the AWRA-L datatset (https://dx.doi.org/10.25914/NDY0-J367). The python notebook 'probability_of_dam_inflows.ipynb' contains the code used to estimate inflow exceedance probabilities as a function of the predictors.

Files

probability_of_dam_inflows.ipynb

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Additional details

Funding

Australian Research Council
ARC Centres of Excellence - Grant ID: CE170100023 CE170100023