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Get monthly ERA5 heat stress index data

Source: R/heat_stress.R
GetERA5MonthlyHeatIndexData.Rd

Wrapper for GetERA5DailyHeatIndexData that takes year and month parameters and returns monthly aggregated heat stress indices.

Usage

GetERA5MonthlyHeatIndexData(
  request_id,
  year,
  month,
  json_file = NULL,
  north = NULL,
  south = NULL,
  east = NULL,
  west = NULL,
  solar_load = FALSE,
  resolution = 0.25,
  use_cache = TRUE,
  verbose = FALSE
)

get_era5_monthly_heat_index_data(
  request_id,
  year,
  month,
  json_file = NULL,
  north = NULL,
  south = NULL,
  east = NULL,
  west = NULL,
  solar_load = FALSE,
  resolution = 0.25,
  use_cache = TRUE,
  verbose = FALSE
)

GetERA5MonthlyHeatData(
  request_id,
  year,
  month,
  json_file = NULL,
  north = NULL,
  south = NULL,
  east = NULL,
  west = NULL,
  solar_load = FALSE,
  resolution = 0.25,
  use_cache = TRUE,
  verbose = FALSE
)

get_era5_monthly_heat_data(
  request_id,
  year,
  month,
  json_file = NULL,
  north = NULL,
  south = NULL,
  east = NULL,
  west = NULL,
  solar_load = FALSE,
  resolution = 0.25,
  use_cache = TRUE,
  verbose = FALSE
)

Arguments

request_id

Unique identifier for the data request

year

Year (e.g., 2023)

month

Month (1-12)

json_file

Path to GeoJSON file defining the region

north, south, east, west

Bounding box coordinates (alternative to json_file)

solar_load

Whether to include solar radiation (default: FALSE)

resolution

Spatial resolution in degrees (default: 0.25)

use_cache

Whether to use cached data (default: TRUE)

verbose

Whether to print progress messages (default: FALSE)

Value

data.frame with monthly mean values for each grid point

Examples

if (FALSE) { # \dontrun{
heat_may <- GetERA5MonthlyHeatIndexData(
  request_id = "india_may2023",
  year = 2023,
  month = 5,
  json_file = "india.geojson"
)
} # }