weighted_temperature_sum

A temperature sum is constructed by summing the average daily temperature 
for each day, but applying a weight factor of 0.5 for January and 0.75 for 
February.

Run grass growth simulations using a grass growth model based
on ModVege (Jouven, M., P. Carrère, and R. Baumont "Model Predicting
Dynamics of Biomass, Structure and Digestibility of Herbage in Managed
Permanent Pastures. 1. Model Description." (2006)
<doi:10.1111/j.1365-2494.2006.00515.x>). The implementation in
this package contains a few additions to the above cited version of ModVege,
such as simulations of management decisions, and influences of snow cover.
As such, the model is fit to simulate grass growth in mountainous
regions, such as the Swiss Alps. The package also contains routines for
calibrating the model and helpful tools for analysing model outputs and
performance.

Kevin Kramer

growR

Implementation of the Vegetation Model ModVege

weighted_temperature_sum function

<dl><dt>temperatures</dt>
<dd>vector Daily average temperatures in degree Celsius.</dd>
<dt>negative</dt>
<dd>boolean Whether to include negative temperature values in 
the summation. By default, negative values are set to 0, meaning that 
the temperature sum is monotonically increasing.</dd></dl>

Arguments

Create a weighted temperature sum — weighted_temperature_sum

<dl>

<dt>temperatures</dt>
<dd>vector Daily average temperatures in degree Celsius.</dd>


<dt>negative</dt>
<dd>boolean Whether to include negative temperature values in 
the summation. By default, negative values are set to 0, meaning that 
the temperature sum is monotonically increasing.</dd>

</dl>

weighted_temperature_sum: Create a weighted temperature sum

Description

Usage

Value

Arguments

Examples