chooseGCM (version 1.0.1)

worldclim_data: Download WorldClim v2.1 Bioclimatic Data

Description

This function allows downloading data from WorldClim v2.1 (https://www.worldclim.org/data/index.html) for multiple GCMs, time periods, and SSPs.

Usage

worldclim_data(period = 'current', variable = 'bioc', year = '2030',
gcm = 'mi', ssp = '126', resolution = 10, path = NULL)

Value

This function does not return any value.

Arguments

period

Character. Can be 'current' or 'future'.

variable

Character. Specifies which variables to retrieve. Possible entries are: 'tmax', 'tmin', 'prec', and/or 'bioc'.

year

Character or vector. Specifies the year(s) to retrieve data for. Possible entries are: '2030', '2050', '2070', and/or '2090'.

gcm

Character or vector. Specifies the GCM(s) to consider for future scenarios. See the table below for available options:

| **CODE** | **GCM** | |----------|----------------------| | ac | ACCESS-CM2 | | ae | ACCESS-ESM1-5 | | bc | BCC-CSM2-MR | | ca | CanESM5 | | cc | CanESM5-CanOE | | ce | CMCC-ESM2 | | cn | CNRM-CM6-1 | | ch | CNRM-CM6-1-HR | | cr | CNRM-ESM2-1 | | ec | EC-Earth3-Veg | | ev | EC-Earth3-Veg-LR | | fi | FIO-ESM-2-0 | | gf | GFDL-ESM4 | | gg | GISS-E2-1-G | | gh | GISS-E2-1-H | | hg | HadGEM3-GC31-LL | | in | INM-CM4-8 | | ic | INM-CM5-0 | | ip | IPSL-CM6A-LR | | me | MIROC-ES2L | | mi | MIROC6 | | mp | MPI-ESM1-2-HR | | ml | MPI-ESM1-2-LR | | mr | MRI-ESM2-0 | | uk | UKESM1-0-LL |

ssp

Character or vector. SSP(s) for future data. Possible entries are: '126', '245', '370', and/or '585'.

resolution

Numeric. Specifies the resolution. Possible values are 10, 5, 2.5, or 30 arcseconds.

path

Character. Directory path to save the downloaded files. Default is NULL.

Author

Luíz Fernando Esser ([e-mail]) https://luizfesser.wordpress.com

Details

This function creates a folder in path. All downloaded data will be stored in this folder. Note: While it is possible to retrieve a large volume of data, it is not recommended to do so due to the large file sizes. For example, datasets at 30 arcseconds resolution can exceed 4 GB. If the function fails to retrieve large datasets, consider increasing the timeout by setting options(timeout = 600).

References

https://www.worldclim.org/data/index.html

Examples

# \donttest{
# download data from multiple periods:
year <- c("2050", "2090")
worldclim_data("future", "bioc", year, "mi", "126", 10, path=tempdir())

# download data from one specific period:
worldclim_data("future", "bioc", "2070", "mi", "585", 10, path=tempdir())
# }