get_solar_radiation: Obtain daily solar radiation for an IDenv with package...

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

Obtain daily solar radiation for an IDenv with package nasapower derived by NASA from satellite & atmospheric observations.

Description

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

Usage

get_solar_radiation(environment, info_environments, ...)

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 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.

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. ALLSKY_SFC_SW_DWN numeric

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

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

Author(s)

Cathy C. Westhues [e-mail]

References

\insertRef

sparks2018nasapowerlearnMET

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