Evaluating soil moisture estimates from passive microwave satellite and land surface models: implicaitons for hydrologic data assimilation

评估被动微波卫星和地表模型的土壤湿度估计：对水文数据同化的影响

• 批准号: 288211-2010
• 负责人: Berg, Aaron
• 金额: $ 1.46万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=525733
• 关键词: Evaluating; soil; moisture; estimates; passive

The proposed research combines satellite estimates of soil moisture, hydrological process models and field-based observations to improve on our understanding of the spatial and temporal variability of soil moisture. The field based measurements of soil moisture will be used for the calibration and validation of an upcoming satellite mission aimed at global soil moisture observation, and for improving model simulations of hydrological processes. This research has the potential to have measurable impacts on flood prediction, drought monitoring, agricultural crop water assessment and water budget estimates necessary for sustainable water resource management.

拟议的研究结合了土壤水分的卫星估计，水文过程模型和实地观测，以提高我们对土壤水分的空间和时间变异性的理解。土壤湿度的实地测量将用于校准和验证即将到来的旨在观测全球土壤湿度的卫星使命，并改进水文过程的模型模拟。这项研究有可能对可持续水资源管理所需的洪水预测、干旱监测、农作物用水评估和水预算估计产生可衡量的影响。