seoulweather: Weather data for Seoul

In speegled/fosdata: Data for use with the book "Probability, Statistics, and Data: A Fresh Approach Using R", by Darrin Speegle and Bryan Clair

Weather data for Seoul

Description

The forecast for the next day and current day weather conditions in and near Seoul from 2013-06-30 to 2017-08-30.

Usage

seoulweather

Format

A data frame with 7752 observations of 25 variables.

station

used weather station number: 1 to 25

date

Present day: yyyy-mm-dd (2013-06-30 to 2017-08-30)

present_tmax

Maximum air temperature between 0 and 21 h on the present day: 20 to 37.6

present_tmin

Minimum air temperature between 0 and 21 h on the present day: 11.3 to 29.9

ldaps_r_hmin

LDAPS model forecast of next-day minimum relative humidity (percent): 19.8 to 98.5

ldaps_r_hmax

LDAPS model forecast of next-day maximum relative humidity (percent): 58.9 to 100

ldaps_tmax_lapse

LDAPS model forecast of next-day maximum air temperature applied lapse rate: 17.6 to 38.5

ldaps_tmin_lapse

LDAPS model forecast of next-day minimum air temperature applied lapse rate: 14.3 to 29.6

ldaps_ws

LDAPS model forecast of next-day average wind speed (m/s): 2.9 to 21.9

ldaps_lh

LDAPS model forecast of next-day average latent heat flux (W/m2): -13.6 to 213.4

ldaps_cc1

LDAPS model forecast of next-day 1st 6-hour split average cloud cover (0-5 h) (percent): 0 to 0.97

ldaps_cc2

LDAPS model forecast of next-day 2nd 6-hour split average cloud cover (6-11 h) (percent): 0 to 0.97

ldaps_cc3

LDAPS model forecast of next-day 3rd 6-hour split average cloud cover (12-17 h) (percent): 0 to 0.98

ldaps_tmax_lapse

LDAPS model forecast of next-day maximum air temperature applied lapse rate: 17.6 to 38.5

ldaps_tmin_lapse

LDAPS model forecast of next-day minimum air temperature applied lapse rate: 14.3 to 29.6

ldaps_ws

LDAPS model forecast of next-day average wind speed (m/s): 2.9 to 21.9

ldaps_lh

LDAPS model forecast of next-day average latent heat flux (W/m2): -13.6 to 213.4

ldaps_cc1

LDAPS model forecast of next-day 1st 6-hour split average cloud cover (0-5 h) (percent): 0 to 0.97

ldaps_cc2

LDAPS model forecast of next-day 2nd 6-hour split average cloud cover (6-11 h) (percent): 0 to 0.97

ldaps_cc3

LDAPS model forecast of next-day 3rd 6-hour split average cloud cover (12-17 h) (percent): 0 to 0.98

ldaps_cc4

LDAPS model forecast of next-day 4th 6-hour split average cloud cover (18-23 h) (percent): 0 to 0.97

ldaps_ppt1

LDAPS model forecast of next-day 1st 6-hour split average precipitation (0-5 h) (percent): 0 to 23.7

ldaps_ppt2

LDAPS model forecast of next-day 2nd 6-hour split average precipitation (6-11 h) (percent): 0 to 21.6

ldaps_ppt3

LDAPS model forecast of next-day 3rd 6-hour split average precipitation (12-17 h) (percent): 0 to 15.8

ldaps_ppt4

LDAPS model forecast of next-day 4th 6-hour split average precipitation (18-23 h) (percent): 0 to 16.7

lat

Latitude: 37.456 to 37.645

lon

Longitude: 126.826 to 127.135

dem

Elevation (m): 12.4 to 212.3

slope

Slope: 0.1 to 5.2

solar_radiation

Daily incoming solar radiation (wh/m2): 4329.5 to 5992.9

next_tmax

The next-day maximum air temperature: 17.4 to 38.9

next_tmin

The next-day minimum air temperature: 11.3 to 29.8

Details

From the source: "This data is for the purpose of bias correction of next-day maximum and minimum air temperatures forecast of the LDAPS model operated by the Korea Meteorological Administration over Seoul, South Korea. This data consists of summer data from 2013 to 2017. The input data is largely composed of the LDAPS model's next-day forecast data, in-situ maximum and minimum temperatures of present-day, and geographic auxiliary variables. There are two outputs (i.e. next-day maximum and minimum air temperatures) in this data."

Source

'Cho, D., Yoo, C., Im, J., & Cha, D. (2020). Comparative assessment of various machine learning-based bias correction methods for numerical weather prediction model forecasts of extreme air temperatures in urban areas. Earth and Space Science.'

https://archive.ics.uci.edu/ml/datasets/Bias+correction+of+numerical+prediction+model+temperature+forecast

speegled/fosdata documentation built on Feb. 8, 2025, 8:17 a.m.