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

Dates

Publication Date
Start Date
2021-04-16
End Date
2021-09-30

Citation

Zwart, J.A., Oliver, S.K., and Watkins, W.D., 2022, Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation: U.S. Geological Survey data release, https://doi.org/10.5066/P96R34A7.

Summary

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 [...]

Contacts

Point of Contact :
Jacob A Zwart
Originator :
Jacob A Zwart, Samantha K Oliver, W David Watkins
Metadata Contact :
Jacob A Zwart
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Integrated Information Dissemination Division
USGS Mission Area :
Water Resources

Attached Files

Click on title to download individual files attached to this item.

forecast_sites.zip 1,000 Bytes application/zip
paired_predicted_observed_temperatures.csv 2.56 MB text/csv
forecast_[2021-04-16_2021-09-30]_files.zip 296.2 MB application/zip
meteorological_[2021-04-16_2021-09-30]_files.zip 8.49 MB application/zip
release_data.csv 17.96 KB text/csv
temperature_data.csv 51.6 KB text/csv
all_ensembles_predicted_observed.zip 460.01 MB application/zip
Shapefile: forecast_sites.zip
forecast_sites.dbf 471 Bytes
forecast_sites.prj 145 Bytes
forecast_sites.shp 240 Bytes
forecast_sites.shx 140 Bytes

Purpose

Decision making, reservoir releases, ecological forecasting.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P96R34A7

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