Impact of Total Column Water Vapor Measurements on Short- to Medium- Range Forecasts of North American Monsoon Precipitation

总柱水汽测量对北美季风降水中短程预报的影响

• 批准号: 1550742
• 负责人: Yolande Serra
• 金额: $ 16.83万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-11 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1550742&HistoricalAwards=false
• 关键词: Impact; Total; Column; Water; Vapor

The objective of this research is to evaluate the ability of observations of total column precipitable water (TPW) from ground-based Global Positioning System (GPS) receivers to improve forecasts of precipitation occurring as part of the North American Monsoon (NAM). The NAM begins in southern Mexico in May and expands north and westward along the Sierra Madre Occidental, reaching the US Southwest in late July and early August. The bulk of NAM precipitation comes from mesoscale meteorological processes, including squall lines and mesoscale convective complexes, and thus successful numerical weather prediction requires the use of a high-resolution nonhydrostatic weather forecasting model. In addition, previous work suggests that successful prediction of NAM precipitation must include observations from the regions of convective initiation, and adequately represent low-level surges of moisture into the NAM region. Thus, this project examines the ability of the Advanced Research Weather Research and Forecasting model (WRF ARW), integrated using a nonhydrostatic high resolution inner domain, to produce skillful NAM precipitation forecasts using continuous TPW observations from a network of GPS ground stations in the US (Suominet) and in Mexico (TLALOC-Net, a 100-station network currently under construction), with further experiments incorporating observations from the more distant COCONet network in the Caribbean. GPS receivers detect TPW as a consequence of the delay in GPS signal propagation from the transmitter satellite to the ground-based receiver due to the presence of atmospheric water vapor. In addition to these fixed networks, the PIs will work with colleagues at the National Autonomous University of Mexico on a field campaign in which 10 GPS receivers will be deployed in Northern Mexico (in the region of convective initiation) over the 2013 NAM season.In addition to its scientific merit, the work has broader societal impacts due to the importance of the NAM, which accounts for approximately 50-70% of the annual precipitation in northwest Mexico and the Southwest US. The NAM impacts water supply and demand, severe weather, extreme heat, drought and wildfire during the warm season. In addition, the work will foster collaborations between US and Mexican scientists in a research area of interest to both countries, and the work will support and train a graduate student.

本研究的目的是评估地面全球定位系统（GPS）接收器的总柱可降水量（TPW）的观测能力，以提高北美季风（NAM）降水预报的一部分。不结盟运动于5月在墨西哥南部开始，并沿着西马德雷西方向北和向西扩展，于7月底和8月初到达美国西南部。 NAM降水的大部分来自中尺度气象过程，包括飑线和中尺度对流复合体，因此成功的数值天气预报需要使用高分辨率的非静力天气预报模式。 此外，以前的工作表明，成功的预测NAM降水必须包括对流开始的地区的观测，并充分代表低水平的浪涌到NAM地区的水分。 因此，本项目研究了高级研究天气研究和预报模式（WRF ARW）的能力，该模式使用非静力高分辨率内域进行集成，使用来自美国GPS地面站网络的连续TPW观测值生成熟练的NAM降水预报（Suominet）和墨西哥（TLALOC网络，目前正在建设的100个站点网络），进一步的实验结合了来自加勒比海更远的COCONet网络的观测。 GPS接收机检测到TPW是由于大气水蒸气的存在导致GPS信号从发射机卫星传播到地基接收机的延迟。除了这些固定网络外，PI还将与墨西哥国立自治大学的同事合作开展一项实地活动，在墨西哥北方部署10个GPS接收器除了科学价值外，由于NAM的重要性，这项工作具有更广泛的社会影响，其占墨西哥西北部和美国西南部年降水量的约50-70%。 不结盟运动影响水的供应和需求，恶劣天气，极端高温，干旱和野火在温暖的季节。 此外，这项工作将促进美国和墨西哥科学家在两国感兴趣的研究领域的合作，这项工作将支持和培训一名研究生。