weather: CSLS hourly weather data

In WDNR-Water-Use/CSLSdata: WI DNR Central Sands Lakes Study Field Data

Description

Hourly weather data from the Hancock Agricultural Research Station website (https://enviroweather.msu.edu/weather.php?stn=hck) (station id: hck). The Hancock Agricultural Research Station is located in Hancock, WI (location: 44.1188, -89.533, elevation: 241m), approximately 8 miles from Plainfield Lake, 8.5 miles from Long Lake, and 14.5 miles from Pleasant Lake.

Usage

data(weather)

Format

A data frame with hourly records for:

date

date and time of weather observation

atmp

air temperature (deg C)

P

precipitation (mm)

RH

relative humidity (percent)

Rs

incoming solar radiation (MJ/m^2)

wind

wind speed (m/s)

Details

To download raw data, go to the Hancock Station website and click on "Weather Station at Hancock" or "More weather for this station" to be routed to a page with options for "Custom Reports (Data-on-Demand)". Select Data Type "Hourly Data", then check Air Temperature, Precipitation, Relative Humidity, Total Solar Flux, and Wind Speed. Select starting date and end date, display units (metric), and output (csv), then "Generate Report". Note that the earliest starting date allowed (as of January and September 2019) is February 15, 2018.

Raw data is processed in with the function "import_weather.R" in the "data-raw" subdirectory of this project. This function removes extraneous lines at the start and end of the raw data files, converts the class of data, and linearly interpolates any missing values.

Raw csv data is processed in the data-raw/ subdirectory of this project with the function import_weather.R which is run by runall_cslsdata.R.

import_weather.R reads in hourly weather from the Hancock, WI weather station. Required weather fields include air temperature (deg C), relative humidity (%), precipitation (mm), solar radiation (MJ/m^2/hr), and wind speed (m/s). This funcition cuts lines known to contain uneeded metadata, updates the format of values, and fills in NA values via linear interpolation.

Source

https://enviroweather.msu.edu/weather.php?stn=hck

Examples

# Load weather data (two different options):
weather <- CSLSdata::weather
data(weather)

WDNR-Water-Use/CSLSdata documentation built on Nov. 12, 2021, 2:36 a.m.