Description Usage Arguments Details Value References See Also
Given cumulative regime curve of precipitation Pcum
and streamflow
Qcum
, the inflexions points of the streamflow regime curve returned
by the function mct_inflexionpoints()
, this function compute the
one or two snow storage estimates depending on the method used (see details).
1 2 3 4 5 6 7 8 9 |
Pcum |
numeric vector. Cumulative precipitation regime curve. |
Qcum |
numeric vector. Cumulative streamflow regime curve. |
inflexion_points |
numeric vector. A length 2 numeric vector containing
the two inflexion points of the cumulative streamflow regime curve (see
|
use_tangentes |
logical. Should the methodology of Schaefli (2016) be used to compute two snow estimates (see details). |
fixed_intercept |
logical. Should a fixed intercept at (0, 0) be used in the linear regression (see details). |
return_tangents |
logical. Should the tangents values be returned as well. |
period. |
numeric vector. A length 2 numeric vector defining the period
to use to perform the linear regression on |
If use_tangentes
is FALSE, the snow storage estimate is simply the
difference Pcum[inflexion_points[1L]] - Qcum[inflexion_points[1L]]
.
If use_tangentes
is TRUE, a linear regression is performed on
Pcum to retrieve the average slope in the period defined by period
.
If fixed_intercept
is TRUE, a fixed intercept at (0, 0) is used
in the linear regression. If use_tangentes
is TRUE, two snow estimates
are computed: (1) from the accumulation period (Sa) and (2) from the
metling period (Sm). For details see Schaefli (2016)
There are three cases:
use_tangentes
is FALSE: a single numeric value corresponding to one
storage estiamte.
use_tangentes
is TRUE and return_tangents
is FALSE: a length 2
numeric vector is returned containing 2 snow storage estimates: (1) from the
accumulation period (Sa) and (2) from the metling period (Sm).
use_tangentes
is TRUE and return_tangents
is TRUE: a list is
returned containing the the two snow storage estimates (S), the slope of resulting
from the linear regression over Pcum
(P_slp), the intercept and slope of the
the two tangents to streamflow at inflexion point 1 (Qa_slp) and inflexion point 2
(Qm_slp). These last two components are length 2 numeric vectors.
B. Schaefli, “Snow hydrology signatures for model identification within a limits-of-acceptability approach”, Hydrological Processes, vol. 30, no. 22, Art. no. 22, Aug. 2016, doi: 10.1002/hyp.10972.
mct_snowstorage
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