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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.

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 
##  Value for missing model data cannot be computed or out of model 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/.

Use of POWER Data

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.”

Meta

  • 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/.