calculate_ETP_daily_MECC | R Documentation |
Function to calculate ETP
calculate_ETP_daily_MECC(
input_type = "dwd",
list_data = NA,
date = NA,
t_max = NA,
t_min = NA,
rh = NA,
rh_max = NA,
rh_min = NA,
n_hours = NA,
cloud_cover = NA,
mean_wind = NA,
station_metadata = NA,
method = "HargreavesSamani"
)
input_type |
character string. Either "DWD" (to use the output of function 'get_data_station_MECC()') or "MANUAL" to give each variable manually |
list_data |
if 'input_type == "DWD"', the output of 'get_data_station_MECC()', else it is 'NA' |
date |
series of dates (daily) to be of the time series. |
t_max |
series of maximum daily temperature (Celcius) |
t_min |
series of minimum daily temperature (Celcius) |
rh |
series of average daily relative humidity (-) |
rh_max |
series of maximum daily relative humidity (-) |
rh_min |
series of minimum daily relative humidity (-) |
n_hours |
series of daily total number of sunlight hours (hours) |
cloud_cover |
series of daily degree of cloud coverage (Okta scale) |
mean_wind |
series of daily average wind speed (m.s-1) |
station_metadata |
data frame with metadata, preferably the output from 'get_data_station()'. Should contain 6 columns (name, id, latitude, longitude, height, county and var; in this exact order and names). |
method |
carachter string with what equation should be used to estimate Evapotranspiration. Values are *HargreavesSamani* or *PenmanMonteith*. |
All inputs (expect 'station_metadata') are available in the first element of the output of function 'get_data_station()'. For clarity, they can be incerted separatly
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