Coupling a physically-based, spatially distributed hydrological model with an Open Data Cube (ODC) ...

点击翻译按钮获取中文摘要

TITLE: Coupling a physically-based, spatially distributed hydrological model with an Open Data Cube (ODC) ecosystem as data repository and analysis tool to quantify the impacts of climate change in water security.For many areas across the globe physically-based hydrological models have a fundamental role helping devise a comprehensive and robust plan for future climate change adaption and preparedness, informing water management and flood initiatives, as well as enhancing knowledge of local and regional hydrological processes. Whilst the use of physically-based hydrological models have been restricted by the nature of the process i.e. large data volumes and greater computational resources required (Lewis et at., 2018), recent advances on satellite derived analysis ready data (ARD) availability and computational environments (online and local deployments) have served as catalyst to a wider use of these models (Sun et al., 2019, Saran et al., 2021).In this context, this research has the purpose to examine the effects of climate change on water security through the application of the open and freely available earth observation satellite data architecture made available by the Open Data Cube project (https://www.opendatacube.org) in conjunction with the SHETRAN model (Ewen et al., 2000) utilising a freely available computation environment (JupyterHub). This research will be expected to contribute towards the implementation and adaptation strategies of the Sustainable Development Goals (SDG's), in particular SDG 6 (clean water and sanitation), SDG 11 (Sustainable cities and communities) and SDG 13 (climate action).