Obtain daily climate data for an environment from NASA POWER data.

Function downloading daily weather data via the package nasapower based on longitude, latitude, planting and harvest date characterizing this environment.

get_daily_tables_per_env(
  environment,
  info_environments,
  path_data,
  et0 = F,
  ...
)

Arguments

environment

environment	`character` Name of the environment for which climate data should be extracted.
info_environments	`data.frame` object with at least the 4 first columns. year: `numeric` Year label of the environment location: `character` Name of the location longitude: `numeric` longitude of the environment latitude: `numeric` latitude of the environment planting.date: (optional) `Date` YYYY-MM-DD harvest.date: (optional) `Date` YYYY-MM-DD elevation: (optional) `numeric` IDenv: `character` ID of the environment (location x year) The data.frame should contain as many rows as Year x Location combinations. Example: if only one location evaluated across four years, 4 rows should be present.
et0	whether evapotranspiration should be calculated. False by default.

character Name of the environment for which climate data should be extracted.

info_environments

data.frame object with at least the 4 first columns.

year: numeric Year label of the environment
location: character Name of the location
longitude: numeric longitude of the environment
latitude: numeric latitude of the environment
planting.date: (optional) Date YYYY-MM-DD
harvest.date: (optional) Date YYYY-MM-DD
elevation: (optional) numeric
IDenv: character ID of the environment (location x year)

The data.frame should contain as many rows as Year x Location combinations. Example: if only one location evaluated across four years, 4 rows should be present.

et0

whether evapotranspiration should be calculated. False by default.

Value

a data.frame data.frame with the following columns extracted from POWER data, according to requested parameters:

longitude numeric
latitude numeric
YEAR numeric
MM integer
DD integer
DOY integer
YYYYMMDD Date
RH2M numeric
T2M numeric
T2M_MIN numeric
T2M_MAX numeric
PRECTOTCORR numeric
ALLSKY_SFC_SW_DWN numeric
T2MDEW numeric
IDenv character ID environment for which weather data were downloaded.
length.gs difftime length in days of the growing season for the environment.

References

Sparks AH (2018). “nasapower: a NASA POWER global meteorology, surface solar energy and climatology data client for R.” Journal of Open Source Software, 3 (30), 1035. Zotarelli L, Dukes MD, Romero CC, Migliaccio KW, Morgan KT (2010). “Step by step calculation of the Penman-Monteith Evapotranspiration (FAO-56 Method).” Institute of Food and Agricultural Sciences. University of Florida.

Author

Cathy C. Westhues cathy.jubin@uni-goettingen.de