Title:	Evapotranspiration R Recipes
Version:	1.0.1
Description:	An R-based application for exploratory data analysis of global EvapoTranspiration (ET) datasets. 'evapoRe' enables users to download, validate, visualize, and analyze multi-source ET data across various spatio-temporal scales. Also, the package offers calculation methods for estimating potential ET (PET), including temperature-based, combined type, and radiation-based approaches described in : Oudin et al., (2005) <doi:10.1016/j.jhydrol.2004.08.026>. 'evapoRe' supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities. Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.
Depends:	R (≥ 4.0.0)
Imports:	methods, parallel, utils, data.table, doParallel, foreach, lubridate, raster,twc
License:	GPL-3
Encoding:	UTF-8
LazyData:	true
URL:	https://github.com/AkbarR1184/evapoRe
BugReports:	https://github.com/AkbarR1184/evapoRe/issues
SystemRequirements:	PROJ (>= 6, https://proj.org/download.html), GDAL (>= 3, https://gdal.org/download.html), NetCDF (>= 4, https://www.unidata.ucar.edu/software/netcdf/).
RoxygenNote:	7.3.2
Suggests:	rmarkdown, ggpubr, knitr, spelling, kableExtra, tibble, testthat (≥ 3.0.0)
Language:	en-US
VignetteBuilder:	knitr
Config/testthat/edition:	3
NeedsCompilation:	no
Packaged:	2025-04-10 19:57:02 UTC; akbar
Author:	Akbar Rahmati Ziveh [aut, cre], Mijael Rodrigo Vargas Godoy [aut], Vishal Thakur [ctb], Yannis Markonis [aut, ths]
Maintainer:	Akbar Rahmati Ziveh <rahmati_ziveh@fzp.czu.cz>
Repository:	CRAN
Date/Publication:	2025-04-10 20:10:02 UTC

Calculate Potential Evapotranspiration (PET) using Abtew Method

Description

The function abtew computes PET by Abtew method

Usage

abtew(tavg, rs, x = NULL)

## S4 method for signature 'missing,missing'
abtew(x)

## S4 method for signature 'Raster,Raster'
abtew(tavg, rs, x = NULL)

## S4 method for signature 'character,character'
abtew(tavg, rs, x = NULL)

Arguments

Details

For Raster inputs, provide raster objects or file paths for 'tavg' and 'rs'. For 'data.table' input, provide a single 'data.table' with columns: "lon", "lat", "date", "tavg", and "rs".

Value

RasterBrick or data.table of PET values (mm/day)

Calculate Potential Evapotranspiration (PET) using Baier-Robertson method

Description

The function baier_robertson computes PET using the Baier and Robertson method.

Usage

baier_robertson(tmax, tmin, x = NULL)

## S4 method for signature 'Raster,Raster'
baier_robertson(tmax, tmin, x = NULL)

## S4 method for signature 'character,character'
baier_robertson(tmax, tmin, x = NULL)

## S4 method for signature 'missing,missing'
baier_robertson(x)

Arguments

Details

For Raster inputs, provide raster objects or file paths for maximum ('tmax') and minimum ('tmin') temperature.For 'data.table' input, provide a table with columns: "lon", "lat", "date", "tmax", and "tmin".

Value

RasterBrick or data.table of PET values (mm/day)

Calculate Potential Evapotranspiration (PET) using Blaney-Criddle method

Description

The function blaney_criddle computes PET using the Blaney-Criddle method.

Usage

blaney_criddle(x)

## S4 method for signature 'Raster'
blaney_criddle(x)

## S4 method for signature 'character'
blaney_criddle(x)

## S4 method for signature 'data.table'
blaney_criddle(x)

Arguments

Details

For Raster input, provide a raster object or file path for average temperature. For 'data.table' input, provide a table with columns: "lon", "lat", "date", and "tavg".

Value

RasterBrick or data.table of PET values (mm/day)

Calculate Net Radiation (Rn)

Description

Computes net radiation (Rn) based on solar radiation, temperature, and elevation.

Usage

calc_rn(tmax, tmin, rs, elevation, albedo = 0.23, x = NULL)

## S4 method for signature 'missing,missing,missing,missing,missing'
calc_rn(x)

## S4 method for signature 'Raster,Raster,Raster,Raster,ANY'
calc_rn(tmax, tmin, rs, elevation, albedo = 0.23, x = NULL)

## S4 method for signature 'character,character,character,character,ANY'
calc_rn(tmax, tmin, rs, elevation, albedo = 0.23, x = NULL)

Arguments

Details

For raster inputs, provide individual raster objects or file paths for 'tmax', 'tmin', 'rs', 'elevation', and optionally 'albedo'. For 'data.table' input, provide a single 'data.table' with columns: "lon", "lat", "date", "rs", "tmax", "tmin", "elevation", and optionally "albedo".

Value

RasterBrick or data.table of net radiation values (MJ m-2 day-1)

Examples

# Example using Raster* input
if (requireNamespace("raster", quietly = TRUE)) {
  tmax_path <- file.path(tempdir(), "tmax.nc")
  tmin_path <- file.path(tempdir(), "tmin.nc")
  rs_path   <- file.path(tempdir(), "rs.nc")
  elev_path <- file.path(tempdir(), "elevation.nc")

  if (file.exists(tmax_path) && file.exists(tmin_path) &&
      file.exists(rs_path) && file.exists(elev_path)) {
    tmax <- raster::brick(tmax_path)
    tmin <- raster::brick(tmin_path)
    rs   <- raster::brick(rs_path)
    elev <- raster::brick(elev_path)

    rn <- calc_rn(tmax = tmax, tmin = tmin, rs = rs, elevation = elev)
  }
}

# Example using data.table input
if (requireNamespace("data.table", quietly = TRUE)) {
  dt <- data.table::data.table(
    lon = c(10.0, 10.5),
    lat = c(45.0, 45.5),
    date = as.Date(c("2001-06-01", "2001-06-01")),
    tmax = c(28.3, 27.6),
    tmin = c(14.1, 13.5),
    rs = c(22.5, 21.9),
    elevation = c(400, 420)
  )
  rn_dt <- calc_rn(x = dt)
}

Calculate Wind Speed at 2 Meters (u2)

Description

Computes wind speed at 2 meters (u2) based on wind speed measured at a different height ('z_u').

Usage

calc_u2(x, z_u = 10)

## S4 method for signature 'Raster'
calc_u2(x, z_u = 10)

## S4 method for signature 'character'
calc_u2(x, z_u = 10)

## S4 method for signature 'data.table'
calc_u2(x, z_u = 10)

Arguments

Details

For raster inputs, provide a 'Raster*' object or file path ('character') for wind speed at height 'z_u'. For 'data.table' input, provide a single 'data.table' with columns: '"lon"', '"lat"', '"date"', and '"value"', where '"value"' contains wind speeds at height 'z_u'.

If 'z_u' is 2, the function returns the input unchanged.

Value

Wind speed adjusted to 2 meters, returned as:

• A 'RasterBrick', if input is a raster object or file path.

• A 'data.table' with updated '"value"' column, if input is a 'data.table'.

Examples

# Raster input
if (requireNamespace("raster", quietly = TRUE)) {
  wind_path <- file.path(tempdir(), "wind_speed.nc")

  if (file.exists(wind_path)) {
    dummie_u <- raster::brick(wind_path)
    u2_raster <- calc_u2(dummie_u, z_u = 10)
  }
}

# File path input
wind_path <- file.path(tempdir(), "wind_speed.nc")
if (file.exists(wind_path)) {
  u2_from_file <- calc_u2(wind_path, z_u = 10)
}

# data.table input
if (requireNamespace("data.table", quietly = TRUE)) {
  dt <- data.table::data.table(
    lon = c(10.0, 10.5),
    lat = c(45.0, 45.5),
    date = as.Date(c("2001-06-01", "2001-06-02")),
    value = c(3.5, 4.1)
  )
  u2_dt <- calc_u2(dt, z_u = 10)
}

Day Length

Description

Calculate Day Length for a given raster template

Usage

day_length(x)

Arguments

Value

data.table

Detect Extreme Evaporation Events (ExEvE)

Description

The function detect_exeve identifies extreme evaporation events based on standardized evaporation and extreme thresholds.

Usage

detect_exeve(x, EXTREMES_THRES = 0.95, LOW_THRES = 0.8)

Arguments

Value

A data.table with original columns and added columns:

• std_value — standardized evaporation

• pentad_std_q80, pentad_std_q95 — pentad thresholds

• value_above_low_thres, extreme, evap_event — flags

• above_low_thres_id, extreme_id, event_id — event group IDs

Examples

# Example using an RDS file (only run if file exists)
evap_path <- file.path(tempdir(), "czechia_evap_gleam.rds")
if (file.exists(evap_path)) {
  evap <- readRDS(evap_path)
  events <- detect_exeve(evap)
}

All data downloader

Description

Downloading all datasets

Usage

download_all(path = "", domain = "raw", time_res = "monthly", variable = "e")

Arguments

Value

No return value, called to download the data set.

BESS data downloader

Description

Downloading BESS evapotranspiration data

Usage

download_bess(path = "", domain = "raw", time_res = "monthly", variable = "e")

Arguments

Value

No return value, called to download the data set.

CAMELE data downloader

Description

Downloading CAMELE evapotranspiration data

Usage

download_camele(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e"
)

Arguments

Value

No return value, called to download the data set.

Download various evapotranspiration data products

Description

The function download_data downloads the selected data product.

Usage

download_data(
  data_name = "all",
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e"
)

Arguments

Value

No return value, called to download the required data sets.

Examples

download_data("gldas-vic-v2-1", tempdir())

ERA5 data downloader

Description

Downloading ERA5 evapotranspiration data

Usage

download_era5(path = "", domain = "raw", time_res = "monthly", variable = "e")

Arguments

Value

No return value, called to download the data set.

ERA5-Land data downloader

Description

Downloading ERA5-Land evapotranspiration data

Usage

download_era5_land(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e"
)

Arguments

Value

No return value, called to download the data set.

ETMonitor data downloader

Description

Downloading ETMonitor evapotranspiration data

Usage

download_etmonitor(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e"
)

Arguments

Value

No return value, called to download the data set.

ETSynthesis data downloader

Description

Downloading ETSynthesis evapotranspiration data

Usage

download_etsynthesis(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e"
)

Arguments

Value

No return value, called to download the data set.

FLDAS data downloader

Description

Downloading FLDAS evapotranspiration data

Usage

download_fldas(path = "", domain = "raw", time_res = "monthly", variable = "e")

Arguments

Value

No return value, called to download the data set.

GLDAS_CLSM data downloader

Description

Downloading GLDAS CLSM evapotranspiration data

Usage

download_gldas_clsm(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e",
  version = ""
)

Arguments

Value

No return value, called to download the data set.

GLDAS_NOAH data downloader

Description

Downloading GLDAS NOAH evapotranspiration data

Usage

download_gldas_noah(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e",
  version = ""
)

Arguments

Value

No return value, called to download the data set.

GLDAS_VIC data downloader

Description

Downloading GLDAS VIC evapotranspiration data

Usage

download_gldas_vic(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e",
  version = ""
)

Arguments

Value

No return value, called to download the data set.

GLEAM data downloader

Description

Downloading GLEAM evapotranspiration data

Usage

download_gleam(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e",
  version = ""
)

Arguments

Value

No return value, called to download the data set.

JRA-55 data downloader

Description

Downloading JRA-55 evapotranspiration data

Usage

download_jra55(path = "", domain = "raw", time_res = "monthly", variable = "e")

Arguments

Value

No return value, called to download the data set.

MERRA-2 data downloader

Description

Downloading MERRA-2 evapotranspiration data

Usage

download_merra2(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e"
)

Arguments

Value

No return value, called to download the data set.

SITH-V2 data downloader

Description

Downloading SITH-V2 evapotranspiration data

Usage

download_sith(path = "", domain = "raw", time_res = "monthly", variable = "e")

Arguments

Value

No return value, called to download the data set.

Temperature Data Downloader

Description

Downloading Temperature data from different datasets

Usage

download_t_data(
  data_name,
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "all"
)

Arguments

Value

No return value, called to download the required data sets.

Examples

download_t_data("cru", tempdir())

TerraClimate data downloader

Description

Downloading TerraClimate evapotranspiration data

Usage

download_terraclimate(
  path = "",
  domain = "raw",
  time_res = "monthly",
  variable = "e"
)

Arguments

Value

No return value, called to download the data set.

Calculate Extraterrestrial Solar Radiation (ESR)

Description

Computes extraterrestrial solar radiation (MJ m-2 day-1) based on latitude and day of the year.

Usage

esr(x)

## S4 method for signature 'Raster'
esr(x)

## S4 method for signature 'character'
esr(x)

Arguments

Details

For raster inputs, provide a 'Raster*' object or file path ('character') The function estimates extraterrestrial radiation.

Value

A 'RasterBrick' of daily extraterrestrial solar radiation (MJ m-2 day-1).

Extraterrestrial Solar Radiation (ESR) Dates

Description

Fix dates for best ESR estimates

Usage

esr_dates(x)

Arguments

Value

data.table

Monthly Evapotranspiration data

Description

A subset of GLDAS CLSM monthly Evapotranspiration data in mm over Spain. More detail about raw data can be found here.

Usage

gldas_clsm_esp_ts

Format

A data.table with 120 obs. of 2 variables:

date

IDate format %Y-%m-%d

value

monthly average values

Source

National Aeronautics and Space Administration (NASA)

Monthly Evapotranspiration data

Description

Global GLDAS monthly Evapotranspiration data in mm. More details of the raw data can be found here.

Usage

gldas_clsm_global_ts

Format

A data.table with 120 obs. of 2 variables:

date

IDate format %Y-%m-%d

value

monthly average values

Source

National Aeronautics and Space Administration (NASA)

Monthly Evapotranspiration data

Description

A subset of GLDAS monthly Evapotranspiration data in mm over -10-40E, 30-45N. More details of the raw data can be found here.

Usage

gldas_clsm_subset_ts

Format

A data.table with 120 obs. of 2 variables:

date

IDate format %Y-%m-%d

value

monthly average values

Source

National Aeronautics and Space Administration (NASA)

Calculate Potential Evapotranspiration (PET) using Hamon method

Description

The function hamon computes PET using the Hamon method.

Usage

hamon(x)

## S4 method for signature 'Raster'
hamon(x)

## S4 method for signature 'character'
hamon(x)

## S4 method for signature 'data.table'
hamon(x)

Arguments

Details

For Raster input, provide a raster object or file path for average temperature. For 'data.table' input, provide a table with columns: "lon", "lat", "date", and "tavg".

Value

RasterBrick or data.table of PET values (mm/day)

Calculate Potential Evapotranspiration (PET) using Hargreaves-Samani method

Description

The function hargreaves_samani computes PET using the Hargreaves and Samani method.

Usage

hargreaves_samani(tavg, tmax, tmin, x = NULL)

## S4 method for signature 'Raster,Raster,Raster'
hargreaves_samani(tavg, tmax, tmin, x = NULL)

## S4 method for signature 'character,character,character'
hargreaves_samani(tavg, tmax, tmin, x = NULL)

## S4 method for signature 'missing,missing,missing'
hargreaves_samani(x)

Arguments

Details

For Raster inputs, provide raster objects or file paths for average ('tavg'), maximum ('tmax'), and minimum ('tmin') temperature. For 'data.table' input, provide a table with columns: "lon", "lat", "date", "tavg", "tmin", and "tmax".

Value

RasterBrick or data.table of PET values (mm/day)

Annual Heat Index

Description

Calculate Annual Heat Index

Usage

heat_index(x)

Arguments

Value

data.table

Calculate Potential Evapotranspiration (PET) using Jensen-Haise method

Description

The function jensen_haise computes PET using the Jensen-Haise method.

Usage

jensen_haise(x)

## S4 method for signature 'Raster'
jensen_haise(x)

## S4 method for signature 'character'
jensen_haise(x)

## S4 method for signature 'data.table'
jensen_haise(x)

Arguments

Details

For Raster input, provide a raster object or file path for average temperature. For 'data.table' input, provide a table with columns: "lon", "lat", "date", and "tavg".

Value

RasterBrick or data.table of PET values (mm/day)

Calculate Potential Evapotranspiration (PET) using McGuinness-Bordne method

Description

The function mcguinness_bordne computes PET using the McGuinness and Bordne method.

Usage

mcguinness_bordne(x)

## S4 method for signature 'Raster'
mcguinness_bordne(x)

## S4 method for signature 'character'
mcguinness_bordne(x)

## S4 method for signature 'data.table'
mcguinness_bordne(x)

Arguments

Details

For Raster input, provide a raster object or file path for average temperature. For 'data.table' input, provide a table with columns: "lon", "lat", "date", and "tavg".

Value

RasterBrick or data.table of PET values (mm/day)

Calculate Potential Evapotranspiration (PET) using Oudin method

Description

The function oudin computes PET using the Oudin method.

Usage

oudin(x)

## S4 method for signature 'Raster'
oudin(x)

## S4 method for signature 'data.table'
oudin(x)

## S4 method for signature 'character'
oudin(x)

Arguments

Details

For Raster inputs, provide a raster object or file path for average temperature. For 'data.table' input, provide a table with columns: "lon", "lat", "date", and "tavg".

Value

RasterBrick or data.table of PET values (mm/day)

Calculate Potential Evapotranspiration (PET) using FAO Penman-Monteith

Description

The function penman_monteith_f56 computes PET by FAO Penman-Monteith method.

Usage

penman_monteith_f56(
  tavg,
  tmin,
  tmax,
  rn,
  u,
  tdew,
  elevation = NULL,
  pres = NULL,
  x = NULL
)

## S4 method for signature 
## 'missing,missing,missing,missing,missing,missing,missing,missing'
penman_monteith_f56(x)

## S4 method for signature 'Raster,Raster,Raster,Raster,Raster,Raster,ANY,ANY'
penman_monteith_f56(
  tavg,
  tmin,
  tmax,
  rn,
  u,
  tdew,
  elevation = NULL,
  pres = NULL,
  x = NULL
)

## S4 method for signature 
## 'character,character,character,character,character,character,ANY,ANY'
penman_monteith_f56(
  tavg,
  tmin,
  tmax,
  rn,
  u,
  tdew,
  elevation = NULL,
  pres = NULL,
  x = NULL
)

Arguments

Details

For Raster inputs, provide raster objects or file paths for 'tavg', 'tmin', 'tmax', 'rn', 'u', 'tdew', and either 'elevation' or 'pres'. For data.table input, provide a single 'data.table' with columns: "lon", "lat", "date", "tavg", "tmin", "tmax", "rn", "u", "tdew", and either "elevation" or "pres".

Value

RasterBrick or data.table of PET values (mm/day)

Potential Evapotranspiration

Description

The function pet estimates PET using various methods.

Usage

pet(method = "oudin", ...)

Arguments

Details

For single-input methods (e.g., Oudin), you can pass the input directly. For multi-input methods (e.g., Penman-Monteith), use named arguments or a data.table. Use pet_method_requirements() to check required variables.

Value

A 'Raster*' object in mm/day (if raster-based inputs) or a 'data.table' with columns lon, lat, date, and value (PET in mm/day).

Examples

# Oudin method with NetCDF path
tavg_path <- file.path(tempdir(), "tavg.nc")
if (file.exists(tavg_path)) {
  pet_od <- pet(method = "oudin", x = tavg_path)
  pet_od <- muldpm(pet_od)
}

# Oudin method with raster
if (requireNamespace("raster", quietly = TRUE)) {
  if (file.exists(tavg_path)) {
    tavg <- raster::brick(tavg_path)
    pet_od <- pet("oudin", tavg)
    pet_od <- muldpm(pet_od)
  }
}

# Oudin method with data.table
if (requireNamespace("data.table", quietly = TRUE)) {
  dt <- data.table::data.table(
    lon = c(10.0, 10.5),
    lat = c(45.0, 45.5),
    date = as.Date(c("2001-06-01", "2001-06-02")),
    tavg = c(18.5, 19.2)
  )
  pet_od <- pet(method = "oudin", x = dt)
  pet_od <- muldpm(pet_od)
}

# Hargreaves-Samani method with multiple raster inputs
tmax_path <- file.path(tempdir(), "tmax.nc")
tmin_path <- file.path(tempdir(), "tmin.nc")
if (requireNamespace("raster", quietly = TRUE)) {
  if (file.exists(tavg_path) && file.exists(tmax_path) && file.exists(tmin_path)) {
    tavg <- raster::brick(tavg_path)
    tmax <- raster::brick(tmax_path)
    tmin <- raster::brick(tmin_path)
    pet_hs <- pet(method = "hargreaves_samani", tavg = tavg, tmin = tmin, tmax = tmax)
    pet_hs <- muldpm(pet_hs)
  }
}

Required Input Variables for PET Methods

Description

This function returns the required input variables for a given PET method, or all methods if none is specified.

Usage

pet_method_requirements(x = NULL)

Arguments

Value

A character vector of required input variables (if x is provided), or a named list of all PET methods and their required inputs (if x is NULL).

Examples

# PET method requirements
pet_method_requirements()

Monthly Potential Evapotranspiration data

Description

A subset of calculated monthly Potential Evapotranspiration data in mm over Spain. More details of the used method can be found ‘⁠https://www.sciencedirect.com/science/article/pii/S0022169404004056⁠’.

Usage

pet_oudin_esp_ts

Format

A data.table with 120 obs. of 2 variables:

date

IDate format %Y-%m-%d

value

monthly average values

Source

Data was calculated using the Oudin method based on raw temperature data. More details of the raw data can be found ‘⁠https://journals.ametsoc.org/view/journals/bams/103/3/BAMS-D-21-0145.1.xml⁠’.

Monthly Potential Evapotranspiration data

Description

Monthly Potential Evapotranspiration data in mm calculated by Oudin method. More details of the used method can be found ‘⁠https://www.sciencedirect.com/science/article/pii/S0022169404004056⁠’.

Usage

pet_oudin_global_ts

Format

A data.table with 120 obs. of 2 variables:

date

IDate format %Y-%m-%d

value

monthly average values

Source

Data was calculated using the Oudin method based on raw temperature data. More details of the raw data can be found ‘⁠https://journals.ametsoc.org/view/journals/bams/103/3/BAMS-D-21-0145.1.xml⁠’.

Monthly Potential Evapotranspiration data

Description

A subset of Monthly Potential Evapotranspiration data in mm calculated by Oudin method over -10-40E, 30-45N. More details of the used method can be found ‘⁠https://www.sciencedirect.com/science/article/pii/S0022169404004056⁠’.

Usage

pet_oudin_subset_ts

Format

A data.table with 120 obs. of 2 variables:

date

IDate format %Y-%m-%d

value

monthly average values

Source

Data was calculated using the Oudin method based on raw temperature data. More details of the raw data can be found ‘⁠https://journals.ametsoc.org/view/journals/bams/103/3/BAMS-D-21-0145.1.xml⁠’.

Potential Evapotranspiration (PET) Parameters

Description

Calculate parameters related to PET, including 'esr_date', 'omega', 'ext_rad', 'delta','lat_rad', and, 'dr'

Usage

pet_params_calc(x)

Arguments

Value

data.table

Calculate Potential Evapotranspiration (PET) using Priestley-Taylor Method

Description

The function priestley_taylor computes PET by Priestley-Taylor method.

Usage

priestley_taylor(tavg, rn, elevation = NULL, pres = NULL, x = NULL)

## S4 method for signature 'missing,missing,missing,missing'
priestley_taylor(x)

## S4 method for signature 'Raster,Raster,ANY,ANY'
priestley_taylor(tavg, rn, elevation = NULL, pres = NULL, x = NULL)

## S4 method for signature 'character,character,ANY,ANY'
priestley_taylor(tavg, rn, elevation = NULL, pres = NULL, x = NULL)

Arguments

Details

For Raster inputs, provide raster objects or file paths for 'tavg', 'rn', and either 'elevation' or 'pres'. For 'data.table' input, provide a single 'data.table' with columns: "lon", "lat", "date", "tavg", "rn", and either "elevation" or "pres".

Value

RasterBrick or data.table of PET values (mm/day)

Objects exported from other packages

Description

These objects are imported from other packages. Follow the links below to see their documentation.

twc

crop_data, fldmean, infoNC, muldpm, pRecipe_masks, remap, saveNC, subset_data, tabular, trend, yearstat

Calculate Potential Evapotranspiration (PET) using Thornthwaite method

Description

The function thornthwaite computes PET using the Thornthwaite method.

Usage

thornthwaite(x)

## S4 method for signature 'Raster'
thornthwaite(x)

## S4 method for signature 'character'
thornthwaite(x)

## S4 method for signature 'data.table'
thornthwaite(x)

Arguments

Details

For Raster input, provide a raster object or file path for average temperature. For 'data.table' input, provide a table with columns: "lon", "lat", "date", and "tavg".

Value

RasterBrick or data.table of PET values (mm/day)

Calculate Potential Evapotranspiration (PET) using the Turc Method

Description

The function turc Computes PET using the Turc formula.

Usage

turc(tavg, rs, rh, x = NULL)

## S4 method for signature 'missing,missing,missing'
turc(x)

## S4 method for signature 'Raster,Raster,Raster'
turc(tavg, rs, rh, x = NULL)

## S4 method for signature 'character,character,character'
turc(tavg, rs, rh, x = NULL)

Arguments

Details

For Raster inputs, provide raster objects or file paths for 'tavg', 'rs', and 'rh'. For data.table input, provide a single 'data.table' with columns: "lon", "lat", "date", "tavg", "rs", and "rh".

Value

RasterBrick or data.table of PET values (mm/day)