extract_cmip6_data

Opens the downloaded .zip files and returns the CMIP6 climate projections
for specified locations .

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

extract_cmip6_data function

<dl><dt>stations</dt>
<dd>data.frame with the locations of interest, for which the
CMIP6 data should be extracted. Needs to contain the columns 'longitude',
'latitude' and 'station_name'.</dd>
<dt>variable</dt>
<dd>character, decides which variables from the downloaded files
get read. Currently, valid options are "Tmin", "Tmax" and "Prec". The value
is usually the same as in download_cmip6_ecmwfr function.</dd>
<dt>download_path</dt>
<dd>character, sets the path for the download of the CMIP6
file. If not already present, then a new folder will be created. The path is
relative to working directory.</dd>
<dt>keep_downloaded</dt>
<dd>Boolean, by default set to TRUE. If TRUE, the
function will not delete the downloaded .nc files. This makes sense when the
user may want to use the climate change data for other locations.</dd></dl>

Arguments

Author

Unpacks and formats downloaded CMIP6 data — extract_cmip6_data

<dl>

<dt>stations</dt>
<dd>data.frame with the locations of interest, for which the
CMIP6 data should be extracted. Needs to contain the columns 'longitude',
'latitude' and 'station_name'.</dd>


<dt>variable</dt>
<dd>character, decides which variables from the downloaded files
get read. Currently, valid options are "Tmin", "Tmax" and "Prec". The value
is usually the same as in download_cmip6_ecmwfr function.</dd>


<dt>download_path</dt>
<dd>character, sets the path for the download of the CMIP6
file. If not already present, then a new folder will be created. The path is
relative to working directory.</dd>


<dt>keep_downloaded</dt>
<dd>Boolean, by default set to TRUE. If TRUE, the
function will not delete the downloaded .nc files. This makes sense when the
user may want to use the climate change data for other locations.</dd>

</dl>

extract_cmip6_data: Unpacks and formats downloaded CMIP6 data

Description

Usage

Value

Arguments

Author