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重组并提供来自NOAA国家水模型历史模拟的网络可访问的流量数据
J Michael Johnson1,2, David L Blodgett3, Keith C Clarke4
1Lynker, Fort Collins, CO, USA. jjohnson@lynker.com.
Scientific data
|October 20, 2023
概括
国家水模型 (NWM) 数据重组过程使得流水流的时间序列能够高效地访问. 新的数据集和R包提高了水文研究的可用性.
科学领域:
- 水文学的水文学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 国家海洋和大气管理局的国家水模型 (NWM) 提供了美国水循环的运行预测.
- 现有的NWM数据结构在访问历史流程时间序列方面存在重大技术挑战,原因是每个时间步骤的文件量很大.
- 提取单个位置的流量数据可能涉及管理数十万个文件,总计数 terabytes 的数据.
研究的目的:
- 开发和介绍一种可重复的方法来重组NWM流程文件以实现高效的时间序列访问.
- 为多个NWM版本 (1.2,2.0和2.1) 提供公开可访问的,重组的数据集.
- 引入一个旨在简化和加快从这些重组数据集中检索数据的R包.
主要方法:
- 开发了一种可重复的过程来重组连续的NWM流程文件.
- 为NWM版本1.2,2.0和2.1创建了重组的数据集,涵盖了广泛的历史时期.
- 在一个支持OPeNDAP的THREDDS数据服务器上托管重组数据集,供公众访问.
- 开发了一个R包,以促进数据检索和分析.
主要成果:
- 成功重组了NWM流量数据,实现了高效的时间序列提取.
- 为NWM 1.2 (1993-2018) 版本,2.0 (1993-2020) 和2.1 (1979-2022) 版本提供了可访问的数据集.
- 分析表明,最新的NWM版本对所有地点都不是普遍最佳的.
- 在各种用例中,R套件在加快数据检索方面表现出有效性.
结论:
- 开发的重组过程和可访问的数据集显著降低了利用NWM历史流量数据的障碍.
- 该R套件为研究人员和从业人员提供了一个有价值的工具,用于使用NWM数据.
- 在选择NWM版本时,用户应该考虑特定的位置需求,因为较新的版本可能并不总是提供卓越的结果.
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