Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information
Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information
复制标题
开发高性能计算工具，利用 sUAS 信息估算高分辨率表面能量平衡产品
DOI：
10.1117/12.2587763
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Gao, Rui
中科院分区：
文献类型：
--
作者：
Nassar, Ayman;Torres-Rua, Alfonso F.;Merwade, Venkatesh;Dey, Sayan;Zhao, Lan;Kim, I. Luk;Kustas, William;Nieto, Hector;Hipps, Lawrence;Gao, Rui
SUAS(小型无人机系统)和先进的地面能量平衡模型允许对不同(农业、城市和自然)环境进行详细的评估和监测(在工厂规模)。在大气-植物-土壤相互作用的理解和建模以及植物尺度内部过程的数值量化方面取得了重大进展。同样，在基本事实信息比较和验证模型方面也取得了进展。这一进展的一个例子是，加州的葡萄遥感大气剖面和蒸散实验-GRAPEX项目利用双源地表能量平衡(TSEB)模型在商业葡萄园中应用了SUAS信息。随着更大区域的频繁SUAS数据收集的进步，SUAS信息处理在本地计算机上的计算成本变得很高。此外，处理数据和验证结果所需的不同模型和工具的支离破碎是一个限制因素。例如，在引用的GRAPEX项目中，需要商业软件(ArcGIS和MS Excel)以及Python和MatLab代码来完成分析。需要在共享平台中评估和集成利用SUAS和表面能量平衡模型进行的研究，以便容易地迁移到高性能计算(HPC)资源。这项研究由国家科学基金会FIRE网络培训奖学金赞助，正在将不同的软件和代码集成到一种统一的语言(Python)下。使用TSEB2T模型估算地表能量通量的PYTHON程序以及用于地面真实信息比较的EC足迹分析程序被托管在MyGeoHub站点https://mygeohub.org/中，以便于重复和复制。
sUAS (small-Unmanned Aircraft System) and advanced surface energy balance models allow detailed assessment and monitoring (at plant scale) of different (agricultural, urban, and natural) environments. Significant progress has been made in the understanding and modeling of atmosphere-plant-soil interactions and numerical quantification of the internal processes at plant scale. Similarly, progress has been made in ground truth information comparison and validation models. An example of this progress is the application of sUAS information using the Two-Source Surface Energy Balance (TSEB) model in commercial vineyards by the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment - GRAPEX Project in California. With advances in frequent sUAS data collection for larger areas, sUAS information processing becomes computationally expensive on local computers. Additionally, fragmentation of different models and tools necessary to process the data and validate the results is a limiting factor. For example, in the referred GRAPEX project, commercial software (ArcGIS and MS Excel) and Python and Matlab code are needed to complete the analysis. There is a need to assess and integrate research conducted with sUAS and surface energy balance models in a sharing platform to be easily migrated to high performance computing (HPC) resources. This research, sponsored by the National Science Foundation FAIR Cyber Training Fellowships, is integrating disparate software and code under a unified language (Python). The Python code for estimating the surface energy fluxes using TSEB2T model as well as the EC footprint analysis code for ground truth information comparison were hosted in myGeoHub site https://mygeohub.org/ to be reproducible and replicable.
影响因子：
4.3
作者：
W. Meijninger;A. E. Green;O. Hartogensis;W. Kohsiek;J. Hoedjes;R. Zuurbier;H. D. de Bruin
通讯作者：
W. Meijninger;A. E. Green;O. Hartogensis;W. Kohsiek;J. Hoedjes;R. Zuurbier;H. D. de Bruin
1987 年国家水资源摘要：水文事件以及供水和使用。
DOI：
10.3133/wsp2350
发表时间：
1990
期刊：
JAWRA Journal of the American Water Resources Association
影响因子：
--
作者：
J. Carr;E. B. Chase;R. Paulson;D. W. Moody
通讯作者：
D. W. Moody
使用瞬时 sUAS ET 在 Grapevine 葡萄园评估高分辨率每日蒸散量模型
DOI：
--
发表时间：
2019
期刊：
影响因子：
--
作者：
A. Nassar;Alfonso F. Torres;J. Alfieri;L. Hipps;J. Prueger;H. Nieto;M. M. Alsina;L. McKee;W. White;W. Kustas;M. McKee;C. Coopmans;L. Sanchez;N. Dokoozlian
通讯作者：
N. Dokoozlian