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

In cjubin/learnMET: Predictions with Machine Learning methods in Multi Environment Trials (MET)

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

Description

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

Usage

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

Arguments

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.

Value

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

1. longitude numeric

2. latitude numeric

3. YEAR numeric

4. MM integer

5. DD integer

6. DOY integer

7. YYYYMMDD Date

8. RH2M numeric

9. T2M numeric

10. T2M_MIN numeric

11. T2M_MAX numeric

12. PRECTOTCORR numeric

13. ALLSKY_SFC_SW_DWN numeric

14. T2MDEW numeric

15. IDenv character ID environment for which weather data were downloaded.

16. length.gs difftime length in days of the growing season for the environment.

Author(s)

Cathy C. Westhues [e-mail]

References

\insertRef

sparks2018nasapowerlearnMET \insertRefzotarelli2010steplearnMET

cjubin/learnMET documentation built on Nov. 4, 2024, 6:23 p.m.