meteo

Meteorological data

Daily meteorological data were downloaded from TuTiempo.net for the following 4 climatic stations:

#>    country  location station longitude latitude elevation
#> 1     Laos  Phonhong  489410    102.40    18.46       179
#> 2     Laos  Thangone  489440    102.63    18.28       185
#> 3     Laos Vientiane  489400    102.56    17.95       171
#> 4 Thailand Nong Khai  483520    102.71    17.86       174

Which, on the map, are located here in red, from left to right and from top to bottom:

After cleaning (see cleaning pipeline), the meteorological data as well and the climatic stations characteristics are available here:

• meteo.csv (905.5 KB)
• stations.csv (211 K)

From where they can be copied and pasted. They can also be downloaded directly from R as so:

if (! "readr" %in% rownames(installed.packages())) install.packages("readr")
meteo <- readr::read_csv("https://raw.githubusercontent.com/ecomore2/meteo/master/data/meteo.csv",
                         col_types = "iDddddiddddllll")
stations <- readr::read_csv("https://raw.githubusercontent.com/ecomore2/meteo/master/data/stations.csv",
                            col_types = "cciddi")

Dictionary:

• day: date of data colletion
• ta: average temperature (°C)
• tx: maximum temperature (°C)
• tn: minimum temperature (°C)
• slp: atmospheric pressure at sea level (hPa)
• h: average relative humidity (%)
• pp: total rainfall and / or snowmelt (mm)
• vv: average visibility (km)
• v: average wind speed (km / h)
• vm: maximum sustained wind speed (km / h)
• ra: boolean indicating whether there was rain or drizzle
• sn: boolean indicating whether it snowed
• ts: boolean indicating whether there were storm
• fg: boolean indicating whether there was floo

Below is a visual representation of the data per station:

#> [1] 483520

#> [1] 489400

#> [1] 489410

#> [1] 489440