Use Case - Ogimet database • climate

Ogimet - download and visualize wind patterns over Svalbard

Downloading hourly data from the Ogimet repository for the defined time frame (2018/01/01-2018/12/31); chosen station: Svalbard Lufthavn
Using external package ‘openair’ to visualize the downloaded results

library(climate)
# downloading data
df <- meteo_ogimet(interval = "hourly",
                     date = c("2018-01-01", "2018-12-31"), 
                     station = "01008")

## [1] "01008"
##   |                                                                              |                                                                      |   0%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=31&ano=2018&mes=12&day=31&hora=23"

## /tmp/RtmpQLWhD6/file1c4163477421

##   |                                                                              |======                                                                |   8%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=30&ano=2018&mes=11&day=30&hora=23"

## /tmp/RtmpQLWhD6/file1c41f0f95fd

##   |                                                                              |============                                                          |  17%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=31&ano=2018&mes=10&day=31&hora=23"

## /tmp/RtmpQLWhD6/file1c411c3df731

##   |                                                                              |==================                                                    |  25%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=30&ano=2018&mes=09&day=30&hora=23"

## /tmp/RtmpQLWhD6/file1c41185e617f

##   |                                                                              |=======================                                               |  33%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=31&ano=2018&mes=08&day=31&hora=23"

## /tmp/RtmpQLWhD6/file1c41414cbac4

##   |                                                                              |=============================                                         |  42%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=31&ano=2018&mes=07&day=31&hora=23"

## /tmp/RtmpQLWhD6/file1c417ea35839

##   |                                                                              |===================================                                   |  50%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=30&ano=2018&mes=06&day=30&hora=23"

## /tmp/RtmpQLWhD6/file1c416c51665f

##   |                                                                              |=========================================                             |  58%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=31&ano=2018&mes=05&day=31&hora=23"

## /tmp/RtmpQLWhD6/file1c416b5ce190

##   |                                                                              |===============================================                       |  67%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=30&ano=2018&mes=04&day=30&hora=23"

## /tmp/RtmpQLWhD6/file1c4160bb13d3

##   |                                                                              |====================================================                  |  75%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=31&ano=2018&mes=03&day=31&hora=23"

## /tmp/RtmpQLWhD6/file1c4119ccfec7

##   |                                                                              |==========================================================            |  83%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=28&ano=2018&mes=02&day=28&hora=23"

## /tmp/RtmpQLWhD6/file1c411a2ea878

##   |                                                                              |================================================================      |  92%[1] "http://ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=31&ano=2018&mes=02&day=1&hora=00"

## /tmp/RtmpQLWhD6/file1c4153661337

##   |                                                                              |======================================================================| 100%[1] "https://www.ogimet.com/cgi-bin/gsynres?ind=01008&lang=en&decoded=yes&ndays=31&ano=2017&mes=12&day=31&hora=23"

## /tmp/RtmpQLWhD6/file1c41419d81d2

# loading external packages:
library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(openair) # external package for plotting wind roses

# converting wind direction from character into degress required by most 
wdir <- data.frame(ddd = c("CAL","N","NNE","NE","ENE","E","ESE","SE","SSE",
                           "S","SSW","SW","WSW","W","WNW","NW","NNW"),
                   dir = c(NA, 0:15 * 22.5), stringsAsFactors = FALSE)
# changing date column to the format required by openair package:
df$Date <- as.POSIXct(df$Date, tz = "UTC")
df$date <- df$Date
df <- left_join(df, wdir)

## Joining with `by = join_by(ddd)`

df$ws <- df$ffkmh / 3.6 # conversion to m/s from km/h
df$gust <- df$Gustkmh / 3.6 # conversion to m/s from km/h
windRose(mydata = df, ws = "ws", wd = "dir", type = "season", paddle = FALSE, 
         main = "Svalbard Lufthavn (2018)", ws.int = 3, dig.lab = 3, layout = c(4, 1))

# do we miss any data?
summaryPlot(df[ ,c("date", "TC", "ws", "gust")])

# which sectors are responsible for warm/cold air mass advection:
polarPlot(df, pollutant = "TC", x = "ws", wd = "dir", k = 50, force.positive = FALSE, 
          type = "season", layout = c(4, 1), resolution = "fine",  normalise = FALSE)