HBV.IANIGLA (version 0.2.6)

Temp_model: Altitude gradient base air temperature models

Description

Extrapolate air temperature records to another heights. In this package version you can use the classical linear gradient model or a modified version which sets an upper altitudinal threshold air temperature decrement (avoiding unreliable estimations).

Usage

Temp_model(
       model,
       inputData,
       zmeteo,
       ztopo,
       param
)

Value

Numeric vector with the extrapolated air temperature series.

Arguments

model

numeric value with model option:

• 1: linear air temperature gradient (LT).

• 2: linear air temperature gradient with an upper threshold (LTM).

inputData

numeric vector with air temperature record series [ºC/\(\Delta t\)].

zmeteo

numeric value indicating the altitude where the air temperature is recorded \([masl]\).

ztopo

numeric value with the target height \([masl]\).

param

numeric vector with the following parameters:

LT

• 1: air temperature linear gradient (grad_t) [ºC/km].

LPM

• 1: air temperature linear gradient (grad_t) [ºC/km].

• 2: threshold height. Air temperature does not decrease when the altitude (ztopo) is higher than this value \([masl]\).

References

Immerzeel, W.W., Petersen, L., Ragettli, S., Pellicciotti, F., 2014. The importance of observed gradients of air temperature and precipitation for modeling runoff from a glacierized watershed in the Nepalese Himalayas. Water Resour. Res. 50, 2212–2226. https://doi.org/10.1002/2013WR014506

Examples

# The following is a toy example. I strongly recommend to see
# the package vignettes in order to improve your skills on HBV.IANIGLA

## simple linear model
airTemp <- Temp_model(
                      model = 1,
                      inputData = runif(200, max = 25, min = -10),
                      zmeteo = 2000, ztopo = 3500, param = c(-6.5)
                      )