semi_distributed_hbv: Semi-distributed HBV model data
In HBV.IANIGLA: Modular Hydrological Model
semi_distributed_hbv R Documentation
Semi-distributed HBV model data
Description
Here you will find the lumped model's next step. A semi-distributed model seems more
similar to what we try to simulate in real world hydrology. This dataset
allows you to experiment with a synthetic HBV.IANIGLA semi-distributed exercise.
Usage
semi_distributed_hbv
Format
A list with five elements
- basin
data frame containing elevation band names and the hypsometric values
for modeling the catchment.
- tair
numeric matrix with the air temperature series (columns) for the 15
elevation bands.
- prec
numeric matrix with the precipitation series (columns) for the 15
elevation bands.
- pet
numeric matrix with the potential evapotranspiration series (columns) for
the 15 elevation bands.
- qout
numeric vector with the synthetic catchment discharge.
HBV.IANIGLA documentation built on Nov. 24, 2022, 1:07 a.m.
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| semi_distributed_hbv | R Documentation |
Semi-distributed HBV model data
Description
Here you will find the lumped model's next step. A semi-distributed model seems more similar to what we try to simulate in real world hydrology. This dataset allows you to experiment with a synthetic HBV.IANIGLA semi-distributed exercise.
Usage
semi_distributed_hbv
Format
A list with five elements
- basin
data frame containing elevation band names and the hypsometric values for modeling the catchment.
- tair
numeric matrix with the air temperature series (columns) for the 15 elevation bands.
- prec
numeric matrix with the precipitation series (columns) for the 15 elevation bands.
- pet
numeric matrix with the potential evapotranspiration series (columns) for the 15 elevation bands.
- qout
numeric vector with the synthetic catchment discharge.
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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