Seoulweather#

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

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.”

Initialization#

library(fosdata)
data <- fosdata::seoulweather

Accessing fields#

data <- fosdata::seoulweather
ldaps_ppt4 <- data$ldaps_ppt4 # Just a random field in the dataset

Interactive R Sample#

You can use the R editor below to interactively explore the dataset and generate plots. This contains a fully self-contained R environment with fosdata, ggplot2, and dplyr loaded.

webR + fosdata Test

Console
Plot

    
No plot generated yet.
scatterplot

LLM instructions#

If using an LLM, you can copy-paste the following instructions to accompany your prompt to inform the model of the fields and their types in the dataset.

LLM Instructions
The fosdata::seoulweather dataset containing the following fields:

fields[25]{name,type,values}:
  station,integer,n/a
  date,character,n/a
  present_tmax,numeric,n/a
  present_tmin,numeric,n/a
  ldaps_r_hmin,numeric,n/a
  ldaps_r_hmax,numeric,n/a
  ldaps_tmax_lapse,numeric,n/a
  ldaps_tmin_lapse,numeric,n/a
  ldaps_ws,numeric,n/a
  ldaps_lh,numeric,n/a
  ldaps_cc1,numeric,n/a
  ldaps_cc2,numeric,n/a
  ldaps_cc3,numeric,n/a
  ldaps_cc4,numeric,n/a
  ldaps_ppt1,numeric,n/a
  ldaps_ppt2,numeric,n/a
  ldaps_ppt3,numeric,n/a
  ldaps_ppt4,numeric,n/a
  lat,numeric,n/a
  lon,numeric,n/a
  dem,numeric,n/a
  slope,numeric,n/a
  solar_radiation,numeric,n/a
  next_tmax,numeric,n/a
  next_tmin,numeric,n/a

Fields#

Name Description Type Min Max Values
station used weather station number: 1 to 25 integer 1 25 -
date Present day: yyyy-mm-dd (2013-06-30 to 2017-08-30) character - - -
present_tmax Maximum air temperature between 0 and 21 h on the present day: 20 to 37.6 numeric 20 37.6 -
present_tmin Minimum air temperature between 0 and 21 h on the present day: 11.3 to 29.9 numeric 11.3 29.9 -
ldaps_r_hmin LDAPS model forecast of next-day minimum relative humidity (percent): 19.8 to 98.5 numeric 19.7947 98.5247 -
ldaps_r_hmax LDAPS model forecast of next-day maximum relative humidity (percent): 58.9 to 100 numeric 58.9363 100.0002 -
ldaps_tmax_lapse LDAPS model forecast of next-day maximum air temperature applied lapse rate: 17.6 to 38.5 numeric 17.625 38.5423 -
ldaps_tmin_lapse LDAPS model forecast of next-day minimum air temperature applied lapse rate: 14.3 to 29.6 numeric 14.2726 29.6193 -
ldaps_ws LDAPS model forecast of next-day average wind speed (m/s): 2.9 to 21.9 numeric 2.8826 21.8576 -
ldaps_lh LDAPS model forecast of next-day average latent heat flux (W/m2): -13.6 to 213.4 numeric -13.6032 213.414 -
ldaps_cc1 LDAPS model forecast of next-day 1st 6-hour split average cloud cover (0-5 h) (percent): 0 to 0.97 numeric - 0.9673 -
ldaps_cc2 LDAPS model forecast of next-day 2nd 6-hour split average cloud cover (6-11 h) (percent): 0 to 0.97 numeric - 0.9684 -
ldaps_cc3 LDAPS model forecast of next-day 3rd 6-hour split average cloud cover (12-17 h) (percent): 0 to 0.98 numeric - 0.9838 -
ldaps_cc4 LDAPS model forecast of next-day 4th 6-hour split average cloud cover (18-23 h) (percent): 0 to 0.97 numeric - 0.9747 -
ldaps_ppt1 LDAPS model forecast of next-day 1st 6-hour split average precipitation (0-5 h) (percent): 0 to 23.7 numeric - 23.7015 -
ldaps_ppt2 LDAPS model forecast of next-day 2nd 6-hour split average precipitation (6-11 h) (percent): 0 to 21.6 numeric - 21.6217 -
ldaps_ppt3 LDAPS model forecast of next-day 3rd 6-hour split average precipitation (12-17 h) (percent): 0 to 15.8 numeric - 15.8412 -
ldaps_ppt4 LDAPS model forecast of next-day 4th 6-hour split average precipitation (18-23 h) (percent): 0 to 16.7 numeric - 16.6555 -
lat Latitude: 37.456 to 37.645 numeric 37.4562 37.645 -
lon Longitude: 126.826 to 127.135 numeric 126.826 127.135 -
dem Elevation (m): 12.4 to 212.3 numeric 12.37 212.335 -
slope Slope: 0.1 to 5.2 numeric 0.0985 5.1782 -
solar_radiation Daily incoming solar radiation (wh/m2): 4329.5 to 5992.9 numeric 4329.5205 5992.896 -
next_tmax The next-day maximum air temperature: 17.4 to 38.9 numeric 17.4 38.9 -
next_tmin The next-day minimum air temperature: 11.3 to 29.8 numeric 11.3 29.8 -

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