airnow_createDataDataframes: Return reshaped dataframes of AirNow data

In MazamaScience/PWFSLSmoke: Utilities for Working with Air Quality Monitoring Data

Return reshaped dataframes of AirNow data

Description

This function uses the airnow_downloadParseData function to download monthly dataframes of AirNow data and restructures that data into a format that is compatible with the PWFSLSmoke package ws_monitor data model. The output is meant to be used as the df argument in other PWFSLSmoke functions (e.g. airnow_qualityControl).

AirNow data parameters include at least the following list:

1. BARPR

2. BC

3. CO

4. NO

5. NO2

6. NO2Y

7. NO2X

8. NOX

9. NOOY

10. OC

11. OZONE

12. PM10

13. PM2.5

14. PRECIP

15. RHUM

16. SO2

17. SRAD

18. TEMP

19. UV-AETH

20. WD

21. WS

Setting parameters=NULL will generate a separate dataframe for each of the above parameters.

Usage

airnow_createDataDataframes(
  parameters = NULL,
  startdate = strftime(lubridate::now(tzone = "UTC"), "%Y%m%d00", tz = "UTC"),
  hours = 24
)

Arguments

parameters	Vector of names of desired pollutants or NULL for all pollutants.
startdate	Desired start date (integer or character representing YYYYMMDD[HH]).
hours	Desired number of hours of data to assemble.

Value

List of dataframes where each dataframe contains all data for a unique parameter (e.g: "PM2.5", "NOX").

Note

As of 2016-12-27, it appears that hourly data are available only for 2016 and not for earlier years.

See Also

airnow_downloadParseData

airnow_qualityControl

Examples

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

airnowList <- airnow_createDataDataframes("PM2.5", 2019062500)

}, silent = FALSE)

## End(Not run)

MazamaScience/PWFSLSmoke documentation built on July 3, 2023, 11:03 a.m.