Warragamba inflow data, predictors and code

DOI10.5281/zenodo.8054046Zenodo8054046MaRDI QIDQ6682513

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 11 November 2023

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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 isused to estimate catchment averagesoil 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 exceedanceprobabilities as a function of the predictors.

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