Integration of state-of-the-art satellite soil moisture and terrestrial water storage products with hydrological modeling in support of water security in Canada

将最先进的卫星土壤湿度和陆地储水产品与水文模型相结合，以支持加拿大的水安全

• 批准号: RGPIN-2021-03523
• 负责人: Xu, Xiaoyong
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=765987
• 关键词: Integration; state; art; satellite; soil

Water security and the sustainability of water resources is one of the most urgent challenges facing Canada today. To address this concern, we must be able to accurately and rapidly monitor and predict how Canada's hydrologic processes vary over space in time. Recent advances in data collection from satellites (Earth observation) and hydrological modeling offer the opportunity to better understand the water cycle behavior and how it is changing in response to climate change. However, both Earth observation and hydrological modeling have limitations in practical applications. Advanced data assimilation technologies can be used to optimally merge Earth observation and hydrological modeling. However, there has been a lack of multiscale assimilation of satellite-derived hydrologic products and joint assimilation of different variable satellite products in fully integrated groundwater-surface water computational models. This proposal seeks to fill this research gap, particularly for Canadian drainage basins. This project aims to develop a multivariate assimilation framework for integrating remotely sensed soil moisture and terrestrial water storage (TWS) data with fully integrated surface-subsurface flow modeling to advance understanding of the physical processes that govern water movement in both the surface and subsurface domains of the Earth system. Both soil moisture and TWS exert fundamental control on global water, energy, and biogeochemical cycles. NASA's SMAP (Soil Moisture Active Passive) mission and European Space Agency's SMOS (Soil Moisture Ocean Salinity) mission represent the current state-of-the-art in satellite soil moisture estimation, while the Gravity Recovery and Climate Experiment (GRACE) mission and its successor, GRACE-FO could provide the monthly TWS data. The remotely sensed soil moisture from SMAP and SMOS and the TWS observations from GRACE/GRACE-FO will be assimilated into a suite of groundwater-surface water models established for different regions across Canada through the developed multivariate assimilation system. Through the combined use of the developed modeling and assimilation system, satellite products, and the ground observations, this project will address a series of fundamental science questions, such as: to what extent satellite soil moisture and TWS products can advance physically-based groundwater-surface water computational modeling? how an integration of satellite observations and hydrological modeling can advance our ability to monitor and predict the variations of surface water and groundwater resources over space and time in Canada? and how the physical processes that govern the water cycle in Canada is changing in response to climate change? The proposed project is very well aligned with national and international priorities in terms of protecting Canada's freshwater resources and better understanding the global and regional hydrological cycle processes and their involvement in global changes.

水安全和水资源的可持续性是当今加拿大面临的最紧迫的挑战之一。为了解决这一问题，我们必须能够准确，快速地监视并预测加拿大的水文过程在时间上如何变化。卫星（地球观察）和水文建模的数据收集的最新进展为更好地了解水周期行为以及其如何响应气候变化而变化。但是，地球观测和水文建模在实际应用中都有局限性。先进的数据同化技术可用于最佳合并地球观测和水文建模。但是，在完全集成的地下水表面水计算模型中，缺乏卫星衍生的水力学产品的多尺度同化以及不同可变卫星产品的联合同化。该建议旨在填补这一研究空白，特别是对于加拿大排水盆地。 该项目旨在开发一个多元同化框架，用于整合远程感知的土壤水分和陆生储水（TWS）数据与完全集成的表面靠面流模型，以促进对地球系统表面和地下域中水流动的物理过程的理解。土壤水分和TWS对全球水，能量和生物地球化学周期都具有基本控制。 NASA的SMAP（土壤水分主动被动）和欧洲航天局的SMOS（土壤水分海洋盐度）任务代表了卫星土壤水分估计中最新的最新技术，而重力恢复和气候实验（GRACE）任务及其继任者及其继任者，Grace-Fo可以提供每月的TWS数据。 SMAP和SMOS的远程感知的土壤水分以及Grace/Grace-Fo的TWS观察结果将被同化为通过开发的多元同化系统为加拿大不同地区建立的一组地下水面水模型。通过共同使用开发的建模和同化系统，卫星产品以及地面观测，该项目将解决一系列基本的科学问题，例如：卫星土壤水分和TWS产品在多大程度上可以推进基于物理的地下水水计算建模？卫星观测和水文建模的整合如何能够提高我们监测和预测地表水和地下水资源的变化的能力，而不是加拿大的时空和时间？以及控制加拿大水循环的物理过程如何响应气候变化？在保护加拿大的淡水资源以及更好地了解全球和区域水文周期过程及其参与全球变化方面，拟议的项目与国家和国际优先事项非常一致。