eval_watergap: Compute modeled discharge statistics for GRDC gauging...
In NaiaraLopezRojo/globalIRmap: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Details
Value
Description
Compute performance statistics (regression R2 and sMAPE) for WaterGAP v2.2 discharge
predictions of long-term mean discharge and Q90 against observed discharge
at GRDC gauging stations with ≥20 years of streamflow data.
Usage
1
eval_watergap(in_qstats, in_selgauges, binarg)
Arguments
in_qstats
data.table of discharge statistics for GRDC streamflow gauging stations.
Each row corresponds to a single station. Output from comp_GRDCqstats.
in_selgauges
data.table or data.frame of gauging stations to analyze.
binarg
discharge bin limits to divide performance statistics asssessment by
(to create size classes based on long-term mean annual flow in m3/s).
Details
gauging stations to analyze in_selgauges are further subsetted
to keep only those with at least 20 years of daily discharge data.
This function performs a log-log regression across all gauges and non-log regressions
for each size class to compute R2.
This function was used to produce Table S1 in the Supplementary Information of Messager et al. 2021
Value
data.table of performance statistics by streamflow size class for
mean annual flow and Q90.
NaiaraLopezRojo/globalIRmap documentation built on Dec. 17, 2021, 5:19 a.m.
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Description Usage Arguments Details Value
Description
Compute performance statistics (regression R2 and sMAPE) for WaterGAP v2.2 discharge predictions of long-term mean discharge and Q90 against observed discharge at GRDC gauging stations with ≥20 years of streamflow data.
Usage
1 | eval_watergap(in_qstats, in_selgauges, binarg)
|
Arguments
in_qstats |
data.table of discharge statistics for GRDC streamflow gauging stations. Each row corresponds to a single station. Output from comp_GRDCqstats. |
in_selgauges |
data.table or data.frame of gauging stations to analyze. |
binarg |
discharge bin limits to divide performance statistics asssessment by (to create size classes based on long-term mean annual flow in m3/s). |
Details
gauging stations to analyze in_selgauges are further subsetted
to keep only those with at least 20 years of daily discharge data.
This function performs a log-log regression across all gauges and non-log regressions for each size class to compute R2.
This function was used to produce Table S1 in the Supplementary Information of Messager et al. 2021
Value
data.table of performance statistics by streamflow size class for mean annual flow and Q90.
R Package Documentation
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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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