CAREER: Observation-Driven Mapping of the Linkages between the Terrestrial Water, Energy and Carbon Cycles
CAREER: Observation-Driven Mapping of the Linkages between the Terrestrial Water, Energy and Carbon Cycles
批准号:
1944457
负责人:
Leila Farhadi
金额:
$49.97万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-05-01 至 2025-04-30
中文摘要
陆地、生物圈和大气之间的水、能量和碳的交换在地球气候中起着关键作用。水、能源和碳循环的陆地或陆地部分紧密相连,并以协调一致的方式运作。例如,大气二氧化碳的增加改变了植被生物量,从而改变了生态系统的光合作用和蒸腾(从而改变了热交换)的速率。用于水文、生态和气候模型的陆面模型需要准确表示陆地循环之间的联系。由于缺乏对可量化这些联系的关键变量的直接观察,导致这些模型的预测不确定。利用关于土壤水分、土壤温度和植被指数的陆地表面状态测量的卫星信息,该项目采用了一种新的观测驱动的方法来诊断和绘制区域尺度上的联系。绘制不同季节、生态和环境条件之间的联系图,有助于理解陆地水、能源和碳循环是如何联系在一起的,并在现实世界中运行。这项职业计划的教育目标是提高华盛顿特区地区研究生、本科生和6-12岁的预科学生的环境知识和促进科学发现。这一教育努力包括让当地学校的少数族裔学生参与STEM领域,重点是气候和土地-大气相互作用。这项研究解决了目前在理解陆地-大气相互作用/耦合的时空变化方面的知识差距。研究计划包括:(1)建立以变分方法为基础的最新框架,以便根据陆地表面状态观测所含的隐含信息,诊断和绘制一系列时间和空间尺度上陆地水、能量和碳循环之间的联系;(2)在点尺度(实地观测、合成模拟)和大尺度(美国大陆)测试这一方法;(3)绘制和研究不同生物群落、回声水文区域、季节和环境条件之间的联系,从而扩大我们对陆地循环之间耦合的基本认识。周期之间联系的观测驱动形式可用于指导改进陆地表面/地球系统模型的预测能力,从而改进对区域陆地表面通量、气候和气候预测的模拟。包括物理学家、应用数学家、气象学家、气候学家和水文学家在内的广大社区都对这项建议中提出的研究方法和低阶逆模拟技术感兴趣。该教育计划利用GLOBAL(全球学习和观察惠及环境)框架,通过让来自华盛顿特区大都市区的6-12名学生参与活动,加深他们对陆地大气相互作用的理解,从而吸引他们参与STEM。我们将通过发展参与教师网络、在线资源以及项目评估和评估工具来确保该项目的长期可持续性。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The exchange of water, energy, and carbon between the land, biosphere and atmosphere play a key role in the Earth’s climate. The terrestrial or land component of water, energy and carbon cycles are strongly linked and operate in a harmonized manner. For example, an increase in atmospheric carbon dioxide modifies the amount of vegetation biomass, thus altering ecosystem photosynthesis and transpiration (hence, heat exchange) rates. Land Surface Models used in hydrologic, ecological and climate models require accurate representation of the links between terrestrial cycles. The lack of direct observation of key variables that can quantify these linkages result in uncertain projections from these models. Using satellite information on land surface state measurements of soil moisture, soil temperature and vegetation index, this project applies a novel observation-driven approach to diagnose and map the linkages at regional scale. Mapping the linkages across different seasons, ecological and environmental conditions advances understanding of how the terrestrial water, energy and carbon cycles are linked and operate in the real world. The educational goal of this CAREER proposal is to enhance environmental knowledge and promote scientific discovery on the part of graduate, undergraduate and 6-12th precollege students in the Washington DC area. This education effort includes engaging minority students from local schools in STEM fields with a focus on climate and land-atmosphere interaction. This research addresses the current knowledge gap in understanding the spatio-temporal variations of land-atmosphere interactions/couplings. The research plan includes (i) developing a state of the art framework based on a variational methodology to diagnose and map the linkages between the terrestrial water, energy and carbon cycles across a range of temporal and spatial scales from the implicit information contained in land surface state observations; (ii) testing the methodology at point scale (field site, synthetic simulations) and at large scale (Continental US) (iii) and expanding our fundamental understanding of the coupling between the terrestrial cycles by mapping and studying the linkages across different biomes, echo hydrological regions, seasons and environmental conditions. The observation-driven form of the linkages between the cycles can be used to guide improvements in the predictive capabilities of Land Surface/Earth System models and hence improve simulation of regional land surface fluxes, climate and climate projections. The research method and the low order inverse modeling techniques developed in this proposal is of interest to a broad community, including physicists, applied mathematicians, meteorologists, climate scientists and hydrologists. The educational plan leverages the GLOBE (Global Learning and Observations to Benefit the Environment) framework to engage 6-12 students from the DC metro area in STEM by engaging them in activities that will enhance their understanding of land atmosphere interaction. We will ensure long-term sustainability of this program by developing a network of participating teachers, online resources, and program assessment and evaluation tools.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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Estimation of Root Zone Soil Moisture Profile by Reduced-Order Variational Data Assimilation Using Near Surface Soil Moisture Observations
使用近地表土壤湿度观测通过降阶变分数据同化估计根区土壤湿度剖面
DOI:
10.1109/jstars.2022.3147166
发表时间:
2022
期刊:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
影响因子:
5.5
作者:
[Heidary, Parisa, Farhadi, Leila, Altaf, Muhammad Umer]
通讯作者:
Altaf, Muhammad Umer
A Reduced-Adjoint Variational Data Assimilation for Estimating Soil Moisture Profile from Surface Soil Moisture Observations
从表层土壤湿度观测估计土壤湿度剖面的减少伴随变分数据同化
DOI:
10.1109/igarss47720.2021.9554864
发表时间:
2021
期刊:
International Geoscience and Remote Sensing Symposium
影响因子:
--
作者:
[Heidary, Parisa, Farhadi, Leila, Altaf, Muhammad Umer]
通讯作者:
Altaf, Muhammad Umer
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
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批准号:
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项目类别:省市级项目
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资助金额:--
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批准年份:2025
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负责人:MATHIEULOUROCHLAURIERE
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依托单位: