EAPSI: Model Analysis of Water Exchange Between the Land and Atmosphere Over Grassland and Cropland Regions

该项目将研究草原和农田地区(如美国南部大平原和中国草原)地表和大气水分输送的关系。国际和平研究所将与韩国首尔国立大学的Young Gryel Ryu博士和他的实验室学生合作。刘博士是地球呼吸系统模拟器(BESS)模型的开发者，该模型估计陆地和大气之间交换了多少水。该模型提供了2000-2015年间全球水交换的估计值。PI将分析建模结果，看看它能在多大程度上估计草原和农田地区的交换水量。了解南方大平原等农业区的水循环对于水预算、天气预报、作物和牲畜管理以及许多其他应用都很重要。该项目的重点是草原和农田地区水循环的蒸散(ET)方面。该项目感兴趣的地区位于美国南部大平原，包括堪萨斯州、俄克拉何马州和德克萨斯州北部，以及中国的草原地区。由Ryu博士开发的Bess模式产生了2000-2015年间全球模拟的ET的1至5公里的空间和8天的时间分辨率。BESS的验证将通过将模拟的ET与区域内不同观测点的观测ET进行比较来构建。PI将使用建模的输出来评估感兴趣区域上的ET的空间和时间变化。然后，这些信息可以用来确定农业实践和天气模式如何影响这些地区的ET，以及这些地区的ET可能如何应对气候变化。该奖项由东亚和太平洋夏季学院计划资助一名美国研究生进行夏季研究，由NSF和韩国国家研究基金会联合资助。

This project will investigate the relationship between land surface and atmospheric water transport over grassland and cropland regions such as the United States Southern Great Plains and Chinese grasslands. The PI will collaborate with Dr. Youngryel Ryu and his laboratory students at Seoul National University in Seoul, South Korea. Dr. Ryu is the developer of the Breathing Earth System Simulator (BESS) model that estimates how much water is exchanged between the land and atmosphere. This model provides global estimates of water exchange from 2000-2015. The PI will be analyzing the modeled results to see how well it can estimate the amount of water that is exchanged over grassland and cropland regions. Understanding the water cycle over agricultural regions, such as the Southern Great Plains, is important for water budgeting, weather prediction, crop and livestock management, and many other applications. The project focuses on the Evapotranspiration (ET) aspect of the water cycle over grassland and cropland regions. The region of interest for the project is over the United States Southern Great Plains that includes Kansas, Oklahoma, and northern portions of Texas as well as grassland regions in China. The BESS model developed by Dr. Ryu produces 1 to 5 km spatial and 8-day temporal resolution of modeled ET over the entire globe from 2000-2015. A validation of BESS will be constructed by comparing the modeled ET with observed ET at various observing sites in the regions. The PI will assess the spatial and temporal variations of ET over the regions of interest using the modeled output. This information can then be used to determine how agricultural practices and weather patterns influence ET in these regions and how ET in these areas may respond to climate change.This award under the East Asia and Pacific Summer Institutes program supports summer research by a U.S. graduate student and is jointly funded by NSF and the National Research Foundation of Korea.