Clima R
Guillermo Uruchurtu
14/9/2022
##Informacion del Automated Surface Observing System (ASOS)
library(riem)## Warning: package 'riem' was built under R version 4.1.3library(tidyverse)## Warning: package 'tidyverse' was built under R version 4.1.3## -- Attaching packages --------------------------------------- tidyverse 1.3.1 --## v ggplot2 3.3.5 v purrr 0.3.4
## v tibble 3.1.6 v dplyr 1.0.8
## v tidyr 1.2.0 v stringr 1.4.0
## v readr 2.1.2 v forcats 0.5.1## Warning: package 'ggplot2' was built under R version 4.1.3## Warning: package 'tibble' was built under R version 4.1.3## Warning: package 'tidyr' was built under R version 4.1.3## Warning: package 'readr' was built under R version 4.1.3## Warning: package 'purrr' was built under R version 4.1.3## Warning: package 'dplyr' was built under R version 4.1.3## Warning: package 'forcats' was built under R version 4.1.3## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()library(lubridate)## Warning: package 'lubridate' was built under R version 4.1.3##
## Attaching package: 'lubridate'## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, unionlibrary(ggplot2)
library(plotly)## Warning: package 'plotly' was built under R version 4.1.3##
## Attaching package: 'plotly'## The following object is masked from 'package:ggplot2':
##
## last_plot## The following object is masked from 'package:stats':
##
## filter## The following object is masked from 'package:graphics':
##
## layout##Buscar la red (pais): Mexico
view(riem_networks())##Buscar la estacion (ciudad): mty
view(riem_stations("MX__ASOS"))
monterrey <- riem_measures("MMMY")
str(monterrey)## tibble [77,908 x 32] (S3: tbl_df/tbl/data.frame)
## $ station : chr [1:77908] "MMMY" "MMMY" "MMMY" "MMMY" ...
## $ valid : POSIXct[1:77908], format: "2014-01-01 00:16:00" "2014-01-01 00:49:00" ...
## $ lon : num [1:77908] -100 -100 -100 -100 -100 ...
## $ lat : num [1:77908] 25.8 25.8 25.8 25.8 25.8 ...
## $ tmpf : num [1:77908] 48.2 48.2 48.2 46.4 46.4 46.4 46.4 46.4 46.4 46.4 ...
## $ dwpf : num [1:77908] 46.4 46.4 46.4 46.4 46.4 44.6 44.6 44.6 44.6 44.6 ...
## $ relh : num [1:77908] 93.5 93.5 93.5 100 100 ...
## $ drct : num [1:77908] 0 120 120 120 110 100 110 130 60 0 ...
## $ sknt : num [1:77908] 0 3 5 6 5 5 4 3 3 0 ...
## $ p01i : num [1:77908] 0 0 0 0 0 0 0 0 0 0 ...
## $ alti : num [1:77908] 30.3 30.3 30.3 30.3 30.3 ...
## $ mslp : num [1:77908] NA NA NA NA NA ...
## $ vsby : num [1:77908] 4 3 1 0.25 0.12 0.12 0.06 0.06 0.06 0.12 ...
## $ gust : num [1:77908] NA NA NA NA NA NA NA NA NA NA ...
## $ skyc1 : chr [1:77908] "SCT" "SCT" "SCT" "VV " ...
## $ skyc2 : chr [1:77908] "BKN" "BKN" "BKN" NA ...
## $ skyc3 : chr [1:77908] "OVC" "OVC" "OVC" NA ...
## $ skyc4 : chr [1:77908] NA NA NA NA ...
## $ skyl1 : num [1:77908] 700 300 200 200 100 100 100 100 100 100 ...
## $ skyl2 : num [1:77908] 1200 400 300 NA NA NA NA NA NA NA ...
## $ skyl3 : num [1:77908] 4000 900 500 NA NA NA NA NA NA NA ...
## $ skyl4 : num [1:77908] NA NA NA NA NA NA NA NA NA NA ...
## $ wxcodes : chr [1:77908] NA "BR" "BR" "FG" ...
## $ ice_accretion_1hr: logi [1:77908] NA NA NA NA NA NA ...
## $ ice_accretion_3hr: logi [1:77908] NA NA NA NA NA NA ...
## $ ice_accretion_6hr: logi [1:77908] NA NA NA NA NA NA ...
## $ peak_wind_gust : logi [1:77908] NA NA NA NA NA NA ...
## $ peak_wind_drct : logi [1:77908] NA NA NA NA NA NA ...
## $ peak_wind_time : logi [1:77908] NA NA NA NA NA NA ...
## $ feel : num [1:77908] 48.2 47.2 45.6 42.9 43.5 ...
## $ metar : chr [1:77908] "MMMY 010016Z 00000KT 4SM SCT007 BKN012 OVC040 09/08 A3028 RMK 8/5// BR" "MMMY 010049Z 12003KT 3SM BR SCT003 BKN004 OVC009 09/08 A3028 RMK 8/5// -DZ OCNL" "MMMY 010116Z 12005KT 1SM BR SCT002 BKN003 OVC005 09/08 A3028 RMK 8/6// -DZ OCNL" "MMMY 010120Z 12006KT 1/4SM FG VV002 08/08 A3029 RMK 8//// BC FG MOV SE/NW" ...
## $ snowdepth : logi [1:77908] NA NA NA NA NA NA ...33Extraer informacion de este mes
este_mes <- subset(monterrey, valid >= as.POSIXct("2022-09-01 00:00") & valid <= as.POSIXct("2022-09-1323:59"))##Graficar informacion
plot(este_mes$valid,este_mes$relh)