GetERA5DailyClimate: Download daily ERA5 climate data

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

Download daily ERA5 climate data

Description

This function downloads ERA5 climate variables (temperature, humidity, wet bulb, wind, solar radiation) for a region.

Usage

GetERA5DailyClimate(
  request_id,
  start_date,
  end_date,
  variables = c("temperature", "humidity"),
  json_file = NULL,
  north = NULL,
  south = NULL,
  east = NULL,
  west = NULL,
  resolution = 0.25,
  use_cache = TRUE,
  verbose = FALSE
)

get_era5_daily_climate(
  request_id,
  start_date,
  end_date,
  variables = c("temperature", "humidity"),
  json_file = NULL,
  north = NULL,
  south = NULL,
  east = NULL,
  west = NULL,
  resolution = 0.25,
  use_cache = TRUE,
  verbose = FALSE
)

Arguments

request_id	Unique identifier for the data request
start_date	Start date in "YYYY-MM-DD" format
end_date	End date in "YYYY-MM-DD" format
variables	Character vector of variables to download. Options: "temperature", "humidity", "wet_bulb", "wind", "solar"
json_file	Path to the GeoJSON file that defines the region
north, south, east, west	Bounding box coordinates (alternative to json_file)
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

data.frame with date, latitude, longitude, and requested variables

Examples

region <- system.file("extdata", "region.geojson", package = "varunayan")
# Get temperature and humidity
climate <- GetERA5DailyClimate(
  request_id = "india_climate",
  start_date = "2023-05-01",
  end_date = "2023-05-31",
  variables = c("temperature", "humidity"),
  json_file = region
)

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