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

将基于物理的空间分布式水文模型与开放数据立方体 (ODC) 耦合...

基本信息

批准号：
2435741
负责人：
金额：
--
依托单位：
Newcastle University
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2435741
关键词：
Coupling physically based spatially distributed

项目摘要

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).

标题：将基于物理的空间分布式水文模型与开放数据立方体 (ODC) 生态系统相结合，作为数据存储库和分析工具，以量化气候变化对水安全的影响。对于全球许多地区，基于物理的水文模型已经发挥重要作用，帮助制定未来气候变化适应和准备的全面而有力的计划，为水管理和洪水倡议提供信息，以及增强对当地和区域水文过程的了解。虽然基于物理的水文模型的使用受到过程性质的限制，即需要大数据量和更大的计算资源（Lewis 等人，2018），但卫星衍生分析就绪数据（ARD）可用性和计算的最新进展环境（在线和本地部署）已成为更广泛使用这些模型的催化剂（Sun 等人，2019；Saran 等人，2021）。在这种背景下，本研究的目的是通过应用开放数据立方体项目 (https://www.opendatacube.org) 提供的开放且免费的地球观测卫星数据架构以及 SHETRAN 模型 (Ewen et al., 2000）利用免费的计算环境（JupyterHub）。这项研究预计将有助于可持续发展目标 (SDG) 的实施和适应战略，特别是 SDG 6（清洁水和卫生设施）、SDG 11（可持续城市和社区）和 SDG 13（气候行动）。