SWOT-UK: The UK contribution to validating SWOT in the Bristol Channel and River Severn, with application to coastal and river management.

SWOT-UK：英国为验证布里斯托尔海峡和塞文河的 SWOT 所做的贡献，并将其应用于沿海和河流管理。

• 批准号: NE/V009125/1
• 负责人: Paul Bates
• 金额: $ 12.52万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FV009125%2F1
• 关键词: SWOT; UK; contribution; validating; Bristol

The Surface Water and Ocean Topography (SWOT) mission will provide for the first time from space two-dimensional high-resolution maps of surface water levels globally over ocean and inland waters. If SWOT meets its performance targets, it will represent a major milestone in our abiity to observe, study and understand the nature and evolution of the Earth's marine and land surface water systems, globally. The UK Space Agency invested in SWOT jointly with the US NASA, French CNES and Canadian Space Agency to enable the implementation and launch of this mission. The SWOT-UK project proposes a comprehensive programme of campaigns and multidisciplinary research centred on the Bristol Channel and River Severn region as the UK contribution to the international SWOT Science Team validation efforts. In accordance with the requirements of the NERC/UKSA SWOT CalVal call, SWOT-UK takes an open and inclusive approach, putting special emphasis on disseminating value-added SWOT validation datasets and engaging with the wider UK science and stakeholder communities to raise awareness of the SWOT capabilities.

地表水和海洋地形（SWOT）使命将首次从空间提供全球海洋和内陆沃茨地表水平面的二维高分辨率地图。如果SWOT达到其绩效目标，它将代表我们在全球范围内观察，研究和理解地球海洋和陆地地表水系统的性质和演变的能力的一个重要里程碑。英国航天局与美国国家航空航天局、法国国家空间研究中心和加拿大航天局共同投资进行SWOT分析，以实施和发射这一使命。SWOT-英国项目提出了一个以布里斯托海峡和塞文河地区为中心的运动和多学科研究的综合方案，作为英国对国际SWOT科学小组验证工作的贡献。根据NERC/UKSA SWOT CalVal呼吁的要求，SWOT-UK采取开放和包容的方法，特别强调传播增值的SWOT验证数据集，并与更广泛的英国科学和利益相关者社区合作，以提高对SWOT能力的认识。

项目成果

A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission

估算全球河流地表水流量和海洋地形卫星任务的框架

• DOI: 10.1029/2021wr031614
• 发表时间: 2023
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: Durand M

Hydraulic Model Calibration Using CryoSat-2 Observations in the Zambezi Catchment

使用 CryoSat-2 观测在赞比西流域进行水力模型校准

• DOI: 10.1029/2020wr029261
• 发表时间: 2021
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: Kittel C