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{nasapower}: NASA POWER API Client 
POWER data vs {nasapower}
Please note that {nasapower} is NOT the source of NASA POWER data. It is only an API client that allows easy access to the data. {nasapower} does not redistribute the data or provide it in any way, we encourage users to follow the requests of the POWER Project Team and properly acknowledge them for the data rather than citing this package (unless you have actually used it in your work).
When POWER data products are used in a publication, we request the following acknowledgement be included: "These data were obtained from the NASA Langley Research Center POWER Project funded through the NASA Earth Science Directorate Applied Science Program."
The previous statement that properly cites the POWER data is different than the citation for {nasapower}.
To cite this R package, {nasapower}, please use the output from citation(package = "nasapower") and cite both the package manual, which includes the version you used and the paper which refers to the peer-review of the software package as the functionality of the package has changed and will likely change to match the API in the future as necessary.
About {nasapower}
{nasapower} aims to make it quick and easy to automate downloading of the NASA-POWER global meteorology, surface solar energy and climatology data in your R session as a tidy data frame tibble object for analysis and use in modelling or other purposes.
POWER (Prediction Of Worldwide Energy Resource) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community.
Note that the data are not static and may be replaced with improved data. Please see https://power.larc.nasa.gov/docs/services/ for detailed information in this regard.
Quick start
{nasapower} can easily be installed using the following code.
From CRAN
The stable version is available through CRAN.
install.packages("nasapower")From GitHub for the version in-development
A development version is available through GitHub.
if (!require("remotes")) {
install.packages("remotes")
}
remotes::install_github("ropensci/nasapower")Example
Fetch daily “ag” community temperature, relative humidity and precipitation for January 1, 1985 for Kingsthorpe, Queensland, Australia.
library("nasapower")
daily_ag <- get_power(community = "ag",
lonlat = c(151.81, -27.48),
pars = c("RH2M", "T2M", "PRECTOTCORR"),
dates = "1985-01-01",
temporal_api = "daily"
)
daily_ag## NASA/POWER CERES/MERRA2 Native Resolution Daily Data
## Dates (month/day/year): 01/01/1985 through 01/01/1985
## Location: Latitude -27.48 Longitude 151.81
## Elevation from MERRA-2: Average for 0.5 x 0.625 degree lat/lon region = 442.77 meters
## The value for missing source data that cannot be computed or is outside of the sources availability range: NA
## Parameter(s):
##
## Parameters:
## RH2M MERRA-2 Relative Humidity at 2 Meters (%) ;
## T2M MERRA-2 Temperature at 2 Meters (C) ;
## PRECTOTCORR MERRA-2 Precipitation Corrected (mm/day)
##
## # A tibble: 1 × 10
## LON LAT YEAR MM DD DOY YYYYMMDD RH2M T2M PRECTOTCORR
## <dbl> <dbl> <dbl> <int> <int> <int> <date> <dbl> <dbl> <dbl>
## 1 152. -27.5 1985 1 1 1 1985-01-01 54.7 24.9 0.9
Documentation
More documentation is available in the vignette in your R session, vignette("nasapower") or available online, https://docs.ropensci.org/nasapower/articles/nasapower.html.
Meta
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Please report any issues or bugs. Please note that the {nasapower} project is released with a Contributor Code of Conduct. By participating in the {nasapower} project you agree to abide by its terms.
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License: MIT