Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation
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.
A full description of the model and results can be found in:
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
Citation Information
Publication Year | 2023 |
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Title | Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation |
DOI | 10.5066/P96R34A7 |
Authors | Jacob A Zwart, Samantha K Oliver, William D Watkins |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Water Resources Mission Area - Headquarters |
Rights | This work is marked with CC0 1.0 Universal |