GetERA5MonthlyHeatIndexData: Get monthly ERA5 heat stress index data

In varunayan: Download and Process 'ERA5', IMD, 'HadEX3' and 'CRU TS' Data

Get monthly ERA5 heat stress index data

Description

This function downloads ERA5 heat stress indices and aggregates them to the specified month.

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 (for example, 2023)
month	Month (1-12)
json_file	Path to the GeoJSON file that defines the region
north, south, east, west	Bounding box coordinates (alternative to json_file)
solar_load	If TRUE, include solar radiation (default: FALSE)
resolution	Spatial resolution in degrees (default: 0.25)
use_cache	If TRUE, the function uses cached data (default: TRUE)
verbose	If TRUE, the function prints progress messages (default: FALSE)

Value

A data.frame with one row per grid point for the requested month: year, month, latitude, longitude, monthly means of the daily heat stress variables, and the categorical columns wbgt_risk, heat_index_risk and utci_stress.

Examples

region <- system.file("extdata", "region.geojson", package = "varunayan")
heat_may <- GetERA5MonthlyHeatIndexData(
  request_id = "india_may2023",
  year = 2023,
  month = 5,
  json_file = region
)

varunayan documentation built on Oct. 30, 2026, 1:07 a.m.