US Egypt Cooperative Research: Improving Rainfall Estimation over the Nile Basin Using Merged Multi-Channel Infrared and Microwave Satellite Observations

美埃合作研究：利用合并的多通道红外和微波卫星观测改进尼罗河流域降雨量估算

• 批准号: 0914618
• 负责人: Emad Habib
• 金额: $ 5.85万
• 依托单位: University of Louisiana at Lafayette
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0914618&HistoricalAwards=false
• 关键词: US; Egypt; Cooperative; Research; Improving

This collaborative research project is being undertaken by Dr. Emad Habib, University of Louisiana at Lafayette, and Dr. Mohamed Abdel-Motaleb, Egyptian Ministry of Water Resources and Irrigation. Egypt is expected to face increasing water needs due to rapidly growing population, economic growth and urbanization. To prepare for such challenges, the Nile Forecasting Center (NFC) in the Egyptian Ministry of Water Resources and Irrigation operates a suite of hydrologic simulation models and analysis tools that support current and future strategies for sustainable water resources management and planning. NFC relies on satellite infrared (IR) imagery to estimate rainfall information over the Nile Basin, which is the main input to NFC hydrologic models. Due to the inherent limitations of IR-based rainfall estimates, the proposed project aims to improve on the current NFC rainfall estimation algorithms. Two types of enhancements are proposed for improving the current NFC algorithm: (1) adding more infrared channels that have become recently available to NFC from the Spinning Enhanced Visible Infrared Imager (SEVIRI) onboard a Meteosat Second Generation (MSG) satellite, and (2) integrating other valuable satellite data from passive microwave sensors which are not currently used by the NFC algorithm (the Special Sensor Microwave/Imager (SSM/I) and the Advanced Microwave Sounding Unit (AMSU)). These enhancements will be implemented within a self-calibrating satellite-rainfall estimation algorithm to be configured and tested over the Nile basin. The project activities will be conducted as collaboration between researchers at NFC and the University of Louisiana (UL) at Lafayette. Satellite data and algorithm support will be contributed by the NOAA's National Environmental Satellite Data and Information Service (NESDIS). The new rainfall estimates developed in the project will be statistically validated using surface gauge measurements and will be evaluated in comparison to infrared-only estimates that are currently produced at NFC.The research will inform the scientific community regarding the accuracy of satellite rainfall products in understudied regions, and it will also provide feedback on the added benefit of incorporating additional satellite sensors which are only available in Europe and Africa. The outcome of the project has significant implications for water resource management in Egypt and has the potential to validate algorithms for use in the US. Additionally, the project will present opportunities for US undergraduates and graduate students to obtain international research experience in Egypt.The project is funded under the US-Egypt Joint Fund Program, which provides grants to scientists and engineers in both countries to undertake cooperative research.

这项合作研究项目由路易斯安那大学拉斐特大学的Emad Habib博士和埃及水资源和灌溉部的Mohamed Abdel-Motaleb博士进行。由于人口迅速增长，经济增长和城市化，预计埃及将面临增长的水需求。为了应对此类挑战，尼罗河预测中心（NFC）在埃及水资源和灌溉部运营着一套水文模拟模型和分析工具，这些模型和分析工具支持可持续水资源管理和计划的当前和未来策略。 NFC依靠卫星红外（IR）图像来估计尼罗河盆地上的降雨信息，这是NFC水文模型的主要输入。由于基于IR的降雨估计的固有局限性，该项目旨在改善当前NFC降雨估计算法。提出了两种类型的增强功能，以改善当前的NFC算法：（1）添加更多的红外渠道，这些通道最近通过旋转增强的可见可见红外成像仪（Seviri）在船上提供了MeteoSat第二代（MSG）（MSG）卫星（MSG），以及（2）在其他有价值的卫星中使用Passive Micrmem（2），该卫星的使用（2）是，这是Passive Microfe notective Microfe notection Microfe and Passive Microfe notection（2）传感器微波/成像仪（SSM/I）和高级微波炉发声单元（AMSU）。这些增强功能将在要在尼罗河盆地上配置和测试的自校准卫星坠落估计算法中实现。项目活动将作为NFC研究人员与拉斐特（Lafayette）的路易斯安那大学（UL）之间的合作进行。卫星数据和算法支持将由NOAA的国家环境卫星数据和信息服务（NESDIS）贡献。该项目中开发的新降雨量估计值将通过表面计测量进行统计验证，并将与目前在NFC上生产的仅红外估计值进行评估。该研究将为科学界提供有关卫星降雨产品在细致地区的准确性的信息，并且还将为欧洲提供其他卫星传感器的添加益处，并在欧洲附加添加了额外的校园。 该项目的结果对埃及的水资源管理具有重要意义，并有可能验证在美国使用的算法。 此外，该项目还将为我们的大学生和研究生提供在埃及获得国际研究经验的机会。该项目是根据美国埃及联合基金计划资助的，该计划为两国的科学家和工程师提供了合作研究的赠款。