hist_metrics_long: Dataset: hydrologic metrics calculated from all Bayesian...
In WDNR-Water-Use/CSLSlevels: CSLS Lake Level Analysis
Description
Hydrologic metrics calculated using all simulation results from monte carlo
Bayesian Structural Time Series process. Metrics summarize 1938-2019 (CSLS
lake) or 1936-2001 (Devils Lake).
Usage
1
Format
A data frame with the following columns.
- lake
name of lake, e.g., Pleasant, Long, Plainfield, Devils
- metric
name of hydrologic metrics, e.g. median_level, cv_rise_rate
- variable
name of variation on metrics, e.g. 10 for 10% exceedance
level
- value
value of hydrologic metric
- sim
id of bayesian simulation used to calculate this metric
WDNR-Water-Use/CSLSlevels documentation built on Nov. 21, 2020, 9:13 a.m.
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Description
Hydrologic metrics calculated using all simulation results from monte carlo Bayesian Structural Time Series process. Metrics summarize 1938-2019 (CSLS lake) or 1936-2001 (Devils Lake).
Usage
1 |
Format
A data frame with the following columns.
- lake
name of lake, e.g., Pleasant, Long, Plainfield, Devils
- metric
name of hydrologic metrics, e.g. median_level, cv_rise_rate
- variable
name of variation on metrics, e.g. 10 for 10% exceedance level
- value
value of hydrologic metric
- sim
id of bayesian simulation used to calculate this metric
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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