I-Corps: Real-Time Big Data Based Decision Support System for Water Use

I-Corps：基于实时大数据的用水决策支持系统

• 批准号: 1738057
• 负责人: Sen Chiao
• 金额: $ 5万
• 依托单位: San Jose State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1738057&HistoricalAwards=false
• 关键词: Corps; Real; Time; Big; Data

The broader impact/commercial potential of this I-Corps project is to provide accurate and timely precipitation forecasts for water resource management during rainfall and hydrological extremes including intense flooding and droughts events. This I-Corps team has developed a unique high resolution weather forecasting model using a high-performance computer framework that employed all available local weather observations and state-of-the-art local doppler radar data to improve local precipitation forecasts on a short-term basis. In conjunction with precipitation forecasts, our system will support water resources related decision-making. A web-based service to provide these pinpoint rainfall forecasts and other related hydrological data products will be available. Operations managers of businesses and government agencies (i.e., water districts, agricultural farms, insurance companies, energy companies) who rely on very accurate and precise rainfall forecasts to make economic-based decisions will be able to have quick access to customized rainfall forecasts and hydrological products at their user-defined locations. During short-term hydrological extremes, these pinpoint accurate rainfall forecasts and products will improve the efficiency and decision-making abilities within the companies and agencies themselves, and it will help them to better communicate their decisions to their end-users and the public.This I-Corps project will employ a high-resolution weather forecasting model. It can have a horizontal resolution of 1 km or finer and uses specific 3D-Variational data assimilation methods which incorporate all available real-time weather observations from multiple sources. These input sources include satellite data (e.g., GOES-R), weather station and rain gauge data, quantitative precipitation estimates from local doppler radars, and other global and regional forecasting models (e.g., NOAA?s High Resolution Rapid Refresh and North American Model). The model can be executed separately for any specific region and location of interest to the end-user, can extract pinpoint rainfall forecasts, and can be updated every 3 or 6 hours depending on the circumstance. Other hydrological products available from the project that can also assist in decision support such as drought conditions (e.g., soil moisture and drought severity indices) and water levels of local reservoirs. It is anticipated that the products from this high-resolution modeling and big-data system will provide guidance to support water management and consumption decisions for government agencies and the private sectors.

这个I-Corps项目更广泛的影响/商业潜力是在降雨和水文极端情况下，包括严重的洪水和干旱事件，为水资源管理提供准确和及时的降水预报。这个I-Corps小组利用高性能计算机框架开发了一个独特的高分辨率天气预报模型，该模型利用所有现有的当地天气观测和最先进的当地多普勒雷达数据，以改善短期的当地降水预报。结合降水预测，我们的系统将支持水资源相关的决策。将提供一项基于网络的服务，以提供这些精确的降雨预报和其他相关的水文数据产品。企业和政府机构的运营经理（即，供水区、农业农场、保险公司、能源公司）将能够在其用户定义的地点快速获得定制的降雨预报和水文产品。在短期水文极端情况下，这些精确的降雨预报和产品将提高公司和机构本身的效率和决策能力，并将有助于它们更好地将其决定传达给最终用户和公众。它的水平分辨率可达1公里或更高，并使用特定的三维变分数据同化方法，其中包括来自多个来源的所有可用的实时天气观测。这些输入源包括卫星数据（例如，GOES-R）、气象站和雨量计数据、来自当地多普勒雷达的定量降水估计以及其他全球和区域预报模型（例如，NOAA？的高分辨率快速刷新和北美模式）。该模型可以针对终端用户感兴趣的任何特定区域和位置单独执行，可以提取精确的降雨预报，并可以根据情况每3或6小时更新一次。项目提供的其他水文产品也可协助决策支持，如干旱条件（例如，土壤湿度和干旱严重程度指数）和当地水库水位。预计这一高分辨率建模和大数据系统的产品将为政府机构和私营部门的水资源管理和消费决策提供指导。