Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors

GSTDTAP

项目编号	1822420
	Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors
	Ankur Desai
主持机构	University of Wisconsin-Madison
项目开始年	2018
	2018-08-01
项目结束日期	2021-07-31
资助机构	US-NSF
项目类别	Continuing grant
项目经费	351316(USD)
国家	美国
语种	英语
英文摘要	The living biosphere interacts with atmospheric processes at a multitude of scales. Understanding these processes requires integration of multiple observations for comparison to theories embedded in atmospheric models. But, all observations mismatch the scale of all models. Therefore, spatial and temporal scaling of surface fluxes is fundamental to how we evaluate theories on what happens within the sub-grid of atmospheric models and how those feed back onto larger scale dynamics. The Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors (CHEESEHEAD) is an intensive field-campaign designed specifically to address long-standing puzzles regarding the role of atmospheric boundary-layer responses to scales of spatial heterogeneity in surface-atmosphere heat and water exchanges. Intellectual Merit: The high-density observing network is coupled to large eddy simulation (LES) and machine-learning scaling-experiments to better understand sub-mesoscale responses and improve numerical weather and climate prediction formulations of sub-grid processes. This project will advance spatiotemporal scaling methods for heterogeneous land surface properties and fluxes and theories on the scales at which the lower atmosphere responds to surface heterogeneity. CHEESEHEAD aims to provide a level of observation density and instrumentation reliability never previously achieved to test and develop hypotheses on spatial heterogeneity and atmosphere feedbacks. Broader Impacts: The experiment generates knowledge that advances the science of surface flux measurement and modeling, relevant to many scientific applications such as numerical weather prediction, climate change, energy resources, and computational fluid dynamics. The research will train next generation land-atmosphere graduate and undergraduate students. Field support outreach and teacher training is included via middle, high school, and undergraduate student involvement at nearby schools and colleges in coordination with UCAR's (University Corporation for Atmospheric Research) GLOBE program, Northland College, and local school districts. The database of observations and models will be made immediately available to the community and public for general use for further scientific advancement. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/72995
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Ankur Desai.Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors.2018.