U.S.-Egypt Cooperative Research: Building Advanced Numerical Weather Prediction Capacity in Egypt

0711106年描述：该项目支持科罗拉多州博尔德市国家大气研究中心的大卫·耶茨博士的合作研究。合作科学家是埃及开罗大学天文学和气象系的Magdy Abdel-Wahab博士。他们将在埃及合作建设先进的数值天气预报能力。学术价值：这一合作伙伴关系建立于2006年3月，是位于美国科罗拉多州博尔德的国家大气研究中心与爱资哈尔大学和开罗大学分别在其研究和大气科学系建立的伙伴关系。NCAR是天气研究和预报(WRF)模式的首席开发商，该模式是一种最先进的高级中尺度(例如，区域到大陆)数值天气预报系统，旨在服务于业务预报和大气研究需求。NCAR和这两所大学继续合作的主要目标是1)提高埃及研究人员对WRF系统的知识和使用的智力能力；2)帮助埃及同事在他们在埃及的国内机构获得和发展高性能计算能力和理解；3)协助他们在新的高性能计算机上实施WRF模式，将其应用于相关的社会问题，如空气污染和沿海灾害研究，并开始解决他们的WRF系统中的数据同化问题。广泛影响：这一阶段的合作将主要是能力建设，长期目标是埃及同事有效地使用WRF系统，以满足埃及社会和天气相关决策的各种应用和需求。WRF模式适用于从几米到数千公里的广泛应用，包括业务数值天气预报(NWP)、从大型气候模式对气候模拟的缩小尺度、驱动空气质量模型、驱动羽流跟踪模型以预测危险空气传播物质(核或生物)的传输和扩散、用于沿海风暴的大气-海洋耦合和波高预测、了解、预测和预报用于洪水、山洪和水资源管理等水文应用的陆地表面与大气的相互作用。所有提到的这些部门都有影响埃及社会的与天气有关的决定，改善对其过程的理解和对与天气有关的现象的更好预测将对埃及有巨大的好处。将这种合作扩展到广泛的其他大气科学应用领域是有真正的潜力的。该项目得到了美国-埃及联合基金计划的支持，该计划为两国的科学家和工程师提供资助，以开展这些合作活动。

0711106 YatesDescription: This project supports collaborative research by Dr. David Yates at the National Center for Atmospheric Research (NCAR), Boulder, Colorado. The collaborating scientist is Dr. Magdy Abdel-Wahab, Astronomy and Meteorology Department at Cairo University, Cairo, Egypt. They will collaborate on building advanced numerical weather prediction capacity in Egypt. Intellectual Merit: This partnership, established in March 2006, is between the National Center for Atmospheric Research, Boulder, CO USA and the universities of Al-Azhar and Cairo in their departments of Research and Atmospheric Sciences, respectively. NCAR is a chief developer of the Weather Research and Forecasting (WRF) Model which is a state-of the- art, advanced mesocale (e.g. regional to continental) numerical weather prediction system designed to serve both operational forecasting and atmospheric research needs. The main goals of this continued collaboration between NCAR and the two universities will be to 1) advance the intellectual capacity of the Egyptian researchers in their knowledge and use of the WRF system; 2) help the Egyptians colleagues acquire and develop high performance computing capability and understanding at their home institutions in Egypt; and 3) assist them in the implementation of the WRF model on their new high performance computer, apply it to relevant societal problems such as air pollution and coastal hazard research, and begin to address data assimilation into theirWRF system.Broader Impact: This phase of collaboration will be mostly capacity building, with a long-term goal of the Egyptians colleagues effectively using the WRF system for the diverse applications and needs of Egyptian society and weather related decision-making. The WRF model is suitable for use in a broad spectrum of applications across scales ranging from meters to thousands of kilometers, including operational numerical weather prediction (NWP), the downscaling of climate simulations from large-scale climate models, driving air quality models, driving plume-tracking models for predicting the transport and dispersion of hazardous air-borne materials (nuclear or biological), atmosphere-ocean coupling for coastal storm and wave-height prediction, understanding, predicting and forecasting the interactions of the land surface with the atmosphere for hydrologic applications such as floods, flash-floods, and water resources management. All of these mentioned sectors have weather related decisions that impact Egyptian society and improved understanding of their processes and better prediction of weather related phenomena would be a tremendous benefit for Egypt. There is a real potential for expanding this collaboration to a wide array of other atmospheric science applications.This project is being supported under the US-Egypt Joint Fund Program, which provides grants to scientists and engineers in both countries to carry out these cooperative activities.