CAREER: Advancing the science and education of land surface-atmosphere interactions: Interweaving multiscale experimental and modeling approaches for  Land Surface Models

GSTDTAP

项目编号	1929792
	CAREER: Advancing the science and education of land surface-atmosphere interactions: Interweaving multiscale experimental and modeling approaches for Land Surface Models
	Kathleen Smits (Principal Investigator)
主持机构	University of Texas at Arlington
项目开始年	2019
	2019-04-01
项目结束日期	2020-08-31
资助机构	US-NSF
项目类别	Continuing grant
项目经费	264563(USD)
国家	美国
语种	英语
英文摘要	CAREER: Advancing the science and education of land surface-atmosphere interactions: Interweaving multiscale experimental and modeling approaches for Land Surface Models and experiential learning A critical challenge for Land Surface Models (LSMs) is to simulate processes at the surface and the subsurface and their feedbacks to the atmosphere. Even given the same climate forcings, LSMs predict different surface fluxes and soil moisture conditions. This is due to differences in the formulations of individual processes, parameterizations of those formulations, numerical solution methods and representation of spatial heterogeneity. All of these differences contribute to LSM prediction errors and uncertainty. Increasing confidence in climate predictions requires revisiting fundamental process understanding and using that understanding to improve representations of land-atmosphere feedbacks. This research seeks to address this challenge by answering questions on multiphase fluid transport mechanisms in surface soils and mass/energy exchange at the soil-atmosphere interface. New knowledge and modeling approaches will result in improved predictions for water supply and food security as well as environmental issues across the nation. Linked to the research plan is an educational framework for engaging minority middle school students in Science, Technology, Engineering and Mathematics (STEM). Focusing on the integrating theme of water and climate, the investigator will help students make the link between STEM they learn in the classroom and environmental water resource problems in their own backyards, motivating and preparing students to pursue college studies and ultimately careers in STEM fields. The integrated activities will help to build a scientifically literate and informed citizenry, while also answering critical water and climate questions. This project will contribute substantially to the goals of the NSF in the production of interdisciplinary knowledge and the education of middle-school students, young scientists and engineers. The overarching goal of this research is to advance our understanding and modeling of mass and energy exchange at the land-atmosphere interface over a wide range of scales, and ultimately improve LSMs that are utilized in global climate prediction. The proposed research will systematically explore how the shallow subsurface and the atmosphere, specifically the layer very close to the soil surface, interact, providing new insights into mass and thermal flux process interactions that will be integrated into LSMs. A focus on scaling based on process understanding at multiple scales will allow for process-rich parameterizations for multiple land-atmosphere interaction and subsurface processes that contribute to LSMs. This vision includes unique highly controlled mechanistic studies in the laboratory, leveraging of existing laboratory and field data, modeling of critical mass and energy dynamics, and the characterization of important interactions from the laboratory to the watershed scales that drive feedbacks to climate systems. Project results will yield unique, high-fidelity data that will greatly aid in improving our understanding and modeling of the processes affected by heterogeneity at various scales and the development of methods to mechanistically represent the proposed processes at the watershed scale. A suite of climate intermediate, and fine scale computational models will be used to guide observations and interpret data; process studies will provide new algorithms and process parameterizations and evaluate model performance. Computational models in conjunction with experimental data will enable the investigator to understand governing flow and transport mechanisms under different atmospheric forcing at different scales. This research is expected to improve the representation of mass and energy exchange processes across multiple scales at the soil-land-atmosphere interface.
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/214189
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Kathleen Smits .CAREER: Advancing the science and education of land surface-atmosphere interactions: Interweaving multiscale experimental and modeling approaches for Land Surface Models.2019.