EAGER: Collaborative Research: Developing a Community Computational Infrastructure for Earth System Model Research and Applications
EAGER:协作研究:为地球系统模型研究和应用开发社区计算基础设施
基本信息
- 批准号:1239746
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-04-01 至 2014-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This EAGER award focuses on exploring the feasibility of the implementation of a new paradigm in the development of an integrative and interoperable data and knowledge management system for the geosciences for a new NSF initiative called EarthCube. Led by a team of expert Earth system modelers, this project focuses on developing new approaches for integrating and coupling model components so that holistic geoscience scenarios that involve the interaction of large scale climate and atmospheric circulation models and smaller, more heterogeneous component models of surface earth processes can be explored and more effectively used by a broader range of users. The project engages participants from a number of major NSF-funded geoscience modeling investments (CSDMS, NCAR, CUHAUSI). A main goal of the of the work is to bridge the gaps between present modeling frameworks, data standards, and computational architectures. The approach includes collection of all relevant approaches and then comparing their pros and cons and linking existing different "plug and play" modeling components together and assessing the accuracy and robustness of model results. Major project goals are to see if more standard modeling protocols can be developed and to develop a general roadmap for improving the interoperability and meshing of model components that address phenomena at wildly different spatial and temporal scales. Broader impacts of the work include building new modeling infrastructure for science and leveraging prior NSF investments in cyberinfrastructure. It also improves the utility of, ease of use, and broader access of scientists and other potential users to more fully integrated and powerful earth systems models.
这个EAGER奖项的重点是为NSF的一项名为EarthCube的新计划探索在开发地球科学综合和可互操作的数据和知识管理系统方面实施新范式的可行性。在地球系统建模专家团队的领导下,该项目侧重于开发集成和耦合模型组件的新方法,以便能够探索和更有效地为更广泛的用户使用涉及大尺度气候和大气环流模型与更小、更异构的地表地球过程组件模型相互作用的整体地球科学情景。该项目的参与者来自美国国家科学基金会资助的多个主要地球科学建模投资项目(CSDMS, NCAR, CUHAUSI)。这项工作的一个主要目标是弥合现有建模框架、数据标准和计算体系结构之间的差距。该方法包括收集所有相关方法,然后比较它们的优缺点,将现有不同的“即插即用”建模组件连接在一起,并评估模型结果的准确性和鲁棒性。主要的项目目标是看看是否可以开发更多的标准建模协议,并开发一个通用的路线图,以改进模型组件的互操作性和网格划分,以处理在不同的空间和时间尺度上的现象。这项工作的更广泛影响包括为科学建立新的建模基础设施,并利用NSF之前在网络基础设施方面的投资。它还提高了科学家和其他潜在用户对更全面集成和更强大的地球系统模型的效用、易用性和更广泛的访问。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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David Gochis其他文献
Evaluating Noah‐MP Simulated Runoff and Snowpack in Heavily Burned Pacific‐Northwest Snow‐Dominated Catchments
评估 Noah-MP 模拟的太平洋西北积雪流域严重烧毁的径流和积雪
- DOI:
10.1029/2023jd039780 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
R. Abolafia‐Rosenzweig;Cenlin He;Fei Chen;Yongxin Zhang;A. Dugger;B. Livneh;David Gochis - 通讯作者:
David Gochis
A regional assessment of the operational National Water Model in the San Francisco Bay area for the 2018–2019 water year
2018-2019 水年旧金山湾区国家运行水模型的区域评估
- DOI:
10.1016/j.jhydrol.2025.133362 - 发表时间:
2025-10-01 - 期刊:
- 影响因子:6.300
- 作者:
Jungho Kim;Eunsaem Cho;V. Chandrasekar;Rob Cifelli;Lynn E. Johnson;Andy Wood;David Gochis - 通讯作者:
David Gochis
Intercomparison of the U.S. National Water Model with OpenET over the Bear River Basin, U.S.
美国国家水模型与美国贝尔河盆地的 OpenET 之间的比对
- DOI:
10.1016/j.jhydrol.2025.132826 - 发表时间:
2025-08-01 - 期刊:
- 影响因子:6.300
- 作者:
Ayman Nassar;David Tarboton;Martha Anderson;Yun Yang;Joshua B. Fisher;Adam J. Purdy;Furqan Baig;Cenlin He;David Gochis;Forrest Melton;John Volk - 通讯作者:
John Volk
Enhancing the community Noah-MP land model capabilities for Earth sciences and applications
增强社区 Noah-MP 土地模型在地球科学和应用方面的能力
- DOI:
10.1175/bams-d-23-0249.1 - 发表时间:
2023 - 期刊:
- 影响因子:8
- 作者:
Cenlin He;Fei Chen;M. Barlage;Zong;J. Wegiel;Guo;David Gochis;D. Mocko;R. Abolafia‐Rosenzweig;Zhe Zhang;Tzu;Prasanth Valayamkunnath;Michael Ek;D. Niyogi - 通讯作者:
D. Niyogi
Simulation of groundwater-flow dynamics in the U.S. Northern High Plains driven by multi-model estimates of surficial aquifer recharge
由地表含水层补给多模型估计驱动的美国北部高平原地下水流动态模拟
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:6.4
- 作者:
Farshid Felfelani;Joseph Hughes;Fei Chen;A. Dugger;Timothy Schneider;David Gochis;Jonathan P. Traylor;H. Essaid - 通讯作者:
H. Essaid
David Gochis的其他文献
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{{ truncateString('David Gochis', 18)}}的其他基金
Collaborative Research: Standards-Based Cyberinfrastructure for Hydrometeorological Modeling: US-European Research Partnership
合作研究:基于标准的水文气象建模网络基础设施:美国-欧洲研究伙伴关系
- 批准号:
1234742 - 财政年份:2012
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
ETBC: Collaborative Research: Quantifying the Effects of Large-Scale Vegetation Change on Coupled Water, Carbon and Nutrient Cycles: Beetle Kill in Western Montane Forest
ETBC:合作研究:量化大规模植被变化对耦合水、碳和养分循环的影响:西部山地森林甲虫死亡
- 批准号:
0910961 - 财政年份:2009
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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