This repository contains the scripts generated to assess the impacts of climate change in South America. After projecting future temperatures, we computed safe winter chill accumulation at each location.
In earlier steps, we identified all available weather stations in South
America. Information regarding these weather stations was obtained from
the Global Surface Summary Of the Day database
(GSOD)
by accessing functions contained in the chillR
package (Luedeling
2021). This procedure resulted in about 1,500 available weather
stations.
To keep using those weather stations having a good amount of data, we
filtered the weather stations with 90% of complete records between 1980
and 2017. Additionally, we added a number of weather stations from
different databases (i.e. a Chilean - through the dormancyR
package
(Fernandez C 2021) - and Argentinean database). This addition yielded
about 155 weather stations.
We interpolated chill accumulation between stations and produce a surface winter chill map.
To cite this work please refer to the main muscript submitted to the journal Climatic Change:
“Fernandez, E., Caspersen, L., Illert, I., and Luedeling, E. (under review). Warm winters challenge the cultivation of temperate species in South America — a spatial analysis of chill accumulation. Climatic Change.”
The repository is structured as follows:
code/
contains all scripts generated to obtain the data and generate the projections, as well as prepare the figuresfigures/
contains all figures generated during the process- We do not included
data/
since all data can be generated with the scripts (except for weather data from Argentinean databases for which we recommend a email request due to external ownership). It is important to note that all scripts refer todata/
, so we recommend to create the directory after downloading the repository. We also recommend adapting all directory paths to your local system
Fernandez C, Eduardo. 2021. dormancyR: Functions to Compute Chill Metrics. https://github.com/EduardoFernandezC/dormancyR.
Luedeling, Eike. 2021. chillR: Statistical Methods for Phenology Analysis in Temperate Fruit Trees. https://CRAN.R-project.org/package=chillR.