five

Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation

收藏
USGS-Science Data Catalog2026-03-28 收录
下载链接:
https://data.usgs.gov/datacatalog/data/USGS:618141e9d34e9f2789e2e098
下载链接
链接失效反馈
官方服务:
资源简介:
<p>This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that made real-time predictions in the Delaware River Basin during 2021. The model is driven by weather forecasts and observed reservoir releases and produces maximum water temperature forecasts for the issue day (day 0) and 7 days into the future (days 1-7) at five sites. This data release captures the entire forecasting period that is reported in Zwart et al. 2022, and is an extension of a previous data release that contains all data needed to build these models but only extends to July 16, 2021 (Oliver et al. 2021). Additionally, this release contains a tidy version of the model predictions with paired observations for easier reuse.</p> <p>A full description of the model and results can be found in:</p> <p>Zwart, J.A., Oliver, S.K., Watkins, W.D., Sadler, J.M., Appling, A.P., Corson-Dosch, H.R., Jia, X., Kumar, V. and Read, J.S. 2022. Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions. JAWRA. DOI: 10.1111/1752-1688.13093</p>
创建时间:
2026-03-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作