Load annual AirNow monitoring data

Loads pre-generated .rda files containing hourly AirNow data.

If archiveDataDir is defined, data will be loaded from this local archive. Otherwise, data will be loaded from the monitoring data repository maintained by the USFS AirFire team.

The files loaded by this function contain a single year's worth of data

For the most recent data in the last 10 days, use airnow_loadLatest().

For daily updates covering the most recent 45 days, use airnow_loadDaily().

For archival data for a specific month, use airnow_loadMonthly().

Pre-processed AirNow exists for the following parameters:

1. PM2.5

airnow_loadAnnual(
  year = NULL,
  archiveBaseUrl = paste0("https://airfire-data-exports.s3.us-west-2.amazonaws.com/",
    "monitoring/v2"),
  archiveBaseDir = NULL,
  QC_negativeValues = c("zero", "na", "ignore"),
  parameterName = "PM2.5"
)

Arguments

year

Year [YYYY].

archiveBaseUrl

Base URL for monitoring v2 data files.

archiveBaseDir

Local base directory for monitoring v2 data files.

QC_negativeValues

Type of QC to apply to negative values.

parameterName

One of the EPA AQS criteria parameter names.

Value

A mts_monitor object with AirNow data. (A list with meta and data dataframes.)

See also

airnow_loadDaily

airnow_loadLatest

airnow_loadMonthly

Examples

if (FALSE) { # \dontrun{
library(AirMonitor)

# Fail gracefully if any resources are not available
try({

# See https://en.wikipedia.org/wiki/2017_Montana_wildfires

# Daily Barplot of Montana wildfires
airnow_loadAnnual(2017) %>%
  monitor_filter(stateCode == "MT") %>%
  monitor_filterDate(20170701, 20170930, timezone = "America/Denver") %>%
  monitor_dailyStatistic() %>%
  monitor_timeseriesPlot(
    ylim = c(0, 300),
    xpd = NA,
    addAQI = TRUE,
    main = "Montana 2017 -- AirNow Daily Average PM2.5"
  )

}, silent = FALSE)
} # }