Winters_hours_gaps

Hourly temperature data recorded in a walnut orchard near the city of Winters,
California, USA for 3rd March to 11th November 2008. The dataset contains the
full record of recorded temperatures, as well as an additional dataset, in
which 500 data gaps of different length were introduced.

datasets

The phenology of plants (i.e. the timing of their annual life
phases) depends on climatic cues. For temperate trees and many other plants,
spring phases, such as leaf emergence and flowering, have been found to result
from the effects of both cool (chilling) conditions and heat. Fruit tree
scientists (pomologists) have developed some metrics to quantify chilling
and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>).
'chillR' contains functions for processing temperature records into
chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units
(Growing Degree Hours). Regarding chilling metrics, Chill Portions are often
considered the most promising, but they are difficult to calculate. This package
makes it easy. 'chillR' also contains procedures for conducting a PLS analysis
relating phenological dates (e.g. bloom dates) to either mean temperatures or
mean chill and heat accumulation rates, based on long-term weather and phenology
records (Luedeling and Gassner (2012) <doi:10.1016/j.agrformet.2011.10.020>).
As of version 0.65, it also includes functions for generating weather
scenarios with a weather generator, for conducting climate change analyses
for temperature-based climatic metrics and for plotting results from such
analyses. Since version 0.70, 'chillR' contains a function for interpolating
hourly temperature records.

Eike Luedeling

chillR

Statistical Methods for Phenology Analysis in Temperate Fruit
Trees

Lars Caspersen

Eduardo Fernandez

Winters_hours_gaps function

A data frame with observations on the following 5 variables.<dl>
<dt>Year</dt>
<dd>a numeric vector - the observation year</dd><dt>Month</dt>
<dd>a numeric vector - the observation month</dd><dt>Day</dt>
<dd>a numeric vector - the observation day</dd><dt>Hour</dt>
<dd>a numeric vector - the observation day</dd><dt>Temp_gaps</dt>
<dd>a numeric vector - daily maximum temperature</dd><dt>Temp</dt>
<dd>a numeric vector - daily minimum temperature</dd>
 
</dl>

Format

Hourly temperature data sample — Winters_hours_gaps

A data frame with observations on the following 5 variables.<dl>
<dt>Year</dt>
<dd>a numeric vector - the observation year</dd>

<dt>Month</dt>
<dd>a numeric vector - the observation month</dd>

<dt>Day</dt>
<dd>a numeric vector - the observation day</dd>

<dt>Hour</dt>
<dd>a numeric vector - the observation day</dd>

<dt>Temp_gaps</dt>
<dd>a numeric vector - daily maximum temperature</dd>

<dt>Temp</dt>
<dd>a numeric vector - daily minimum temperature</dd>
 
</dl>

Winters_hours_gaps: Hourly temperature data sample

Description

Arguments

Format

Examples