Metrics to Characterizing Periods of Anomalously Low Water Storage for Selected Reservoirs in the Conterminous U.S. from 1981 to 2020

Dates

Publication Date: 2024-06-25
Start Date: 1980-04-01
End Date: 2020-03-31

Citation

Simeone, C., and Hammond, J.C., 2024, Metrics to Characterizing Periods of Anomalously Low Water Storage for Selected Reservoirs in the Conterminous U.S. from 1981 to 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9PIEH9Y.

Summary

This metadata record describes a series of tabular datasets containing metrics used to characterize periods of anomalously low storage for select large reservoirs across the Conterminous United States for the climate years (April 1 – March 31) from 1981 to 2020. These data support the associated Simeone and others (2024) publication. The reservoirs in this dataset are those included in the ResOpsUS dataset, with sufficient data during the period of interest. These metrics include reservoir storage percentiles, identified low-storage anomaly events, annual low storages, low-storage anomaly statistics for each event, and trends in reservoir metrics. This data release contains the following files: One version of the following three files [...]

Summary

This metadata record describes a series of tabular datasets containing metrics used to characterize periods of anomalously low storage for select large reservoirs across the Conterminous United States for the climate years (April 1 – March 31) from 1981 to 2020. These data support the associated Simeone and others (2024) publication. The reservoirs in this dataset are those included in the ResOpsUS dataset, with sufficient data during the period of interest. These metrics include reservoir storage percentiles, identified low-storage anomaly events, annual low storages, low-storage anomaly statistics for each event, and trends in reservoir metrics. This data release contains the following files:

One version of the following three files for variable threshold method low-storage anomaly (weibull_jd), fixed threshold method low-storage anomaly (weibull_site), and operating curve-based low-storage anomalies (operating curve). Substitute each of these strings in parentheses for the strings here between *.
1) percentiles_1981_2020.zip: Percentile zip files for the period of 1981-2020. This zip file contains the reservoir storage, inflow, and outflow percentiles as individual csv files for each reservoir (for example, res_ops_XXX.csv, where XXX is the ResOpsUS reservoir identification number) including percentiles from each different method. The metadata contains column details for an example version of these files.
2) reservoir_1981_2020_*weibull_jd*_drought_properties.csv: This is a csv file that contains summaries of each low-storage anomaly event for each reservoir for each threshold. One of these files exists for each of our three low-storage anomaly methods. The three files included have different labels for each of the three different methods of identifying low-storage anomalies.
3) reservoir_1981_2020_*weibull_jd*_complete_annual_stats.csv: This csv is a csv file that contains the annual low-storage anomaly statistics for each climate year, threshold, and reservoir. The three files included have different labels for each of the three different methods of identifying low-storage anomalies.
4) reservoir_1981_2020_*weibull_jd*_trends.csv: This csv contains data on trends in low-storage anomaly characteristics for selected reservoirs during our primary period of interest from 1981 to 2020.
5) reservoir_metadata.csv: This csv file contains metadata for each reservoir.

Simeone C.E., Hammond, J.C., Archfield, A.A., Broman, D., Condon, E.C., Eldardiry, H., Olson, C.G., & Steyaert, J.C. 2024, Declining Reservoir Reliability and Increasing Reservoir Vulnerability: Long-Term Observations Reveal Longer and More Severe Periods of Low Reservoir Storage for Major United States Reservoirs. Geophysical Research Letters.

Contacts

Point of Contact :: Caelan E Simeone
Originator :: Caelan E Simeone, John C Hammond
Metadata Contact :: Caelan E Simeone
Publisher :: U.S. Geological Survey
SDC Data Owner :: Oregon Water Science Center
USGS Mission Area :: Water Resources
Distributor :: U.S. Geological Survey - ScienceBase

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Metrics to Characterizing Periods of Anomalously Low Water Storage.xml Original FGDC Metadata	View	60.17 KB	application/fgdc+xml
percentiles_1981_2020.zip		95.33 MB	application/zip
reservoir_1981_2020_weibull_jd_complete_annual_stats.csv		28.79 MB	text/csv
reservoir_1981_2020_weibull_jd_drought_properties.csv		2.02 MB	text/csv
Annual_Stats_Data_Dictionary.csv		3.46 KB	text/csv
reservoir_1981_2020_weibull_site_complete_annual_stats.csv		31.73 MB	text/csv
reservoir_1981_2020_weibull_site_drought_properties.csv		1.75 MB	text/csv
reservoir_1981_2020_operating_curve_complete_annual_stats.csv		4.82 MB	text/csv
reservoir_1981_2020_operating_curve_drought_properties.csv		325.06 KB	text/csv
reservoir_1981_2020_operating_curve_trends.csv		73.98 KB	text/csv
reservoir_1981_2020_weibull_jd_trends.csv		251.73 KB	text/csv
reservoir_1981_2020_weibull_site_trends.csv		251.67 KB	text/csv
reservoir_metadata.csv		23.54 KB	text/csv

Related External Resources

Type: Related Primary Publication

Simeone, C. E., Hammond, J. C., Archfield, S. A., Broman, D., Condon, L. E., Eldardiry, H., et al. (2024). Declining reservoir reliability and increasing reservoir vulnerability: Long-term observations reveal longer and more severe periods of low reservoir storage for major United States reservoirs. Geophysical Research Letters, 51, e2024GL109476. https://doi.org/10.1029/2024GL109476	https://doi.org/10.1029/2024GL109476

Purpose

Metrics used to characterize periods of anomalously low storage for select large reservoirs were developed as part of the National Drought Characterization and Prediction Project which is part of the USGS Water Mission Area (WMA) National Drought Program. This effort was undertaken to support statistical analysis, map display, and model parameterization and to help advance the understanding and prediction of hydrological drought across the Continental United States. These data were developed to support the associated publication (Simeone and others, 2024).

Metrics to Characterizing Periods of Anomalously Low Water Storage for Selected Reservoirs in the Conterminous U.S. from 1981 to 2020

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