The daymetr R package provides functions to (batch) download single pixel or gridded daymet data (tiled) data directly into your R workspace, or save them as csv/tif files on your computer. Gridded (tiled) data downloads for a region of interest are specified by a top left / bottom right coordinate pair or a single pixel location. Please cite as: Koen Hufkens. (2017). khufkens/daymetr: Download daymet data using R. Zenodo. http://doi.org/10.5281/zenodo.437886.
clone the project to your home computer using the following command (with git installed)
require(devtools)
install_github("khufkens/daymetr") # install the package
library(daymetr) # load the packageFor a single site use the following format
download.daymet(site = "Oak Ridge National Laboratories",
lat = 36.0133,
lon = -84.2625,
start_yr = 1980,
end_yr = 2010,
internal = TRUE)| Parameter | Description |
|---|---|
| site | site name |
| lat | latitude of the site |
| lon | longitude of the site |
| start_yr | start year of the time series (data start in 1980) |
| end_yr | end year of the time series (current year - 2 years / for safety, tweak this check to reflect the currently available data) |
| internal | logical, TRUE or FALSE, if true data is imported into R workspace otherwise it is downloaded into the current working directory |
Batch mode uses similar parameters but you provide a comma separated file with site names and latitude longitude which are sequentially downloaded. Format of the comma separated file is as such: site name, latitude, longitude.
batch.download.daymet(file_location = 'my_sites.csv',
start_yr = 1980,
end_yr = 2010,
internal = TRUE)For gridded data use the following format
download.daymet.tiles(lat1 = 36.0133,
lon1 = -84.2625,
lat2 = NA,
lon2 = NA,
start_yr = 1980,
end_yr = 2012,
param = "ALL")| Parameter | Description |
|---|---|
| lat1 | top left latitude |
| lon1 | top left longitude |
| lat2 | bottom right latitude (can be empty) |
| lon2 | bottom right latitude (can be empty) |
| start_yr | start year of the time series (data start in 1980) |
| end_yr | end year of the time series (current year - 2 years / for safety, tweak this check to reflect the currently available data) |
| param | climate variable you want to download vapour pressure (vp), minimum and maximum temperature (tmin,tmax), snow water equivalent (swe), solar radiation (srad), precipitation (prcp) , day length (dayl). The default setting is ALL, this will download all the previously mentioned climate variables. |
If only the first set of coordinates is provided the tile in which these reside is downloaded. If your region of interest falls outside the scope of the DAYMET data coverage a warning is issued. If both top left and bottom right coordinates are provided all tiles covering the region of interst are downloaded. I would caution against downloading too much data, as file sizes do add up. So be careful how you specify your region of interest.
The code depends on the following R packages: sp, rgdal, curl and will be installed alongside the daymetr package.
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