nasapower aims to make it quick and easy to automate
downloading 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.
nasapower can easily be installed using the following code.
The stable version is available through CRAN.
install.packages("nasapower")A development version is available through GitHub.
if (!require("remotes")) {
install.packages("remotes")
}
remotes::install_github("ropensci/nasapower")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 0.9More documentation is available in the vignette in your R session,
vignette("nasapower") or available online, https://docs.ropensci.org/nasapower/.
While nasapower does not redistribute the data or provide it in any way, we encourage users to follow the requests of the POWER Project Team.
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.”
Please report any issues or bugs.
License: MIT
To cite nasapower, please use the output from
citation(package = "nasapower").
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.
The U.S. Earth System Research Laboratory, Physical Science Division of the National Atmospheric & Oceanic Administration (NOAA) maintains a list of gridded climate data sets that provide different data and different resolutions https://psl.noaa.gov/data/gridded/.