R-connector-api/example.R at master · kvink90/R-connector-api · GitHub

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#Meteomatics Weather API Connector - Examples


#Required packages: httr, data.table, lubridate, ggplot2, stringr.
#install.packages("")

source('R_query_api.R')


#Account data
username <- "r-community"
password <- "Utotugode673"

#Find out what the current account can do
limits <- query_user_features(username, password)
limits

#Set initial time data####
time_zone <- "Europe/Berlin"
startdate <- ISOdatetime(year = as.integer(strftime(today(),'%Y')),
                        month = as.integer(strftime(today(),'%m')),
                        day = as.integer(strftime(today(),'%d')),
                        hour = 00, min = 00, sec = 00, tz = "UTC")
enddate <- ISOdatetime(year = as.integer(strftime(today(),'%Y')),
                      month = as.integer(strftime(today(),'%m')),
                      day = as.integer(strftime(today(),'%d'))+1,
                      hour = 00, min = 00, sec = 00, tz = "UTC")
interval <- "PT1H"


#Query a Timeseries####

parameters <- "t_2m:C,relative_humidity_1000hPa:p"
coordinate <- "47.11,11.47"
#coordinate <- "47.11,11.47+50,10"
ts_output <- timeseries(startdate, enddate, interval, parameters, coordinate)
head(ts_output)


#Grid####

parameter <- "t_2m:C"
coordinate <- "48.5,5.5_45.5,11.5:800x600"
grid_output <- grid(startdate, parameter, coordinate)
head(grid_output)


#Pivot Grid####

parameter <- "t_2m:C" #only one parameter
coordinate <- "48.5,5.5_45.5,11.5:5x5" #Rectangle
pivot_grid <- grid_pivot(startdate, parameter, coordinate)
head(pivot_grid)


#Timeseries grid####

parameter <- "t_2m:C"
coordinate <- "50,0_40,20:500x300"
interval <- "PT12H"
timeseries_grid_output <- timeseries_grid(startdate, enddate, interval, parameter, coordinate)
head(timeseries_grid_output)


#Get a list of lightning strikes####

time_range="2019-07-07T12:00:00ZPT2S"
bounding_box="50,10_40,20"

ls <- lightning_strikes(time_range, bounding_box)
head(ls)


#save timeseries grid as .netcdf####

parameters = "t_2m:C"
coordinate = "90,-180_-90,180:600x400"
startdate <- ISOdatetime(year = as.integer(strftime(today(),'%Y')),
                         month = as.integer(strftime(today(),'%m')),
                         day = as.integer(strftime(today(),'%d')),
                         hour = 00, min = 00, sec = 00, tz = "UTC")
duration = "PT3H"
interval = "PT1H"

save_netcdf(startdate, duration, interval, parameters, coordinate)


#safe grads plot####

parameters <- "t_500hPa:C,gh_500hPa:m"
coordinate <- "70,-15_35,30:0.1,0.1"

save_grads_plot(startdate, parameters, coordinate)


#Find stations####

location <- "location=47.3,9.3"
#parameters=<comma separated parameter list>
parameters <- "parameters=t_2m:C"
stations <- find_station(location, parameters)
head(stations)


#Query a timeseries for a weather station with certain coordinates if possible####
startdate <- ISOdatetime(year = as.integer(strftime(today(),'%Y')),
                        month = as.integer(strftime(today(),'%m')),
                        day = as.integer(strftime(today(),'%d'))-1,
                        hour = 00, min = 00, sec = 00, tz = "UTC")
enddate <- ISOdatetime(year = as.integer(strftime(today(),'%Y')),
                      month = as.integer(strftime(today(),'%m')),
                      day = as.integer(strftime(today(),'%d')),
                      hour = 00, min = 00, sec = 00, tz = "UTC")

interval <- "PT1H"
parameters <- "t_2m:C,relative_humidity_2m:p"
coordinate <- "47.43,9.4"

stations_timeseries <- station_timeseries(startdate, enddate, interval, parameters, coordinate)
head(stations_timeseries)


#Query a timeseries for a weather station with certain IDs####

startdate = ISOdatetime(year = as.integer(strftime(today(),'%Y')),
                        month = as.integer(strftime(today(),'%m')),
                        day = as.integer(strftime(today(),'%d'))-1,
                        hour = 00, min = 00, sec = 00, tz = "UTC")
enddate = ISOdatetime(year = as.integer(strftime(today(),'%Y')),
                      month = as.integer(strftime(today(),'%m')),
                      day = as.integer(strftime(today(),'%d')),
                      hour = 00, min = 00, sec = 00, tz = "UTC")

interval <- "PT3H"
parameters = "t_2m:C,relative_humidity_2m:p"
station <- "wmo_037720"

timeseries_station_id(startdate, enddate, interval, parameters, station)


#Get latest initial times####

parameters <- "t_2m:C,relative_humidity_2m:p"

model <- "ecmwf-ifs"

startdate = ISOdatetime(year = as.integer(strftime(today(),'%Y')),
                        month = as.integer(strftime(today(),'%m')),
                        day = as.integer(strftime(today(),'%d')),
                        hour = 00, min = 00, sec = 00, tz = "UTC")
date <- strftime(startdate,format='%Y-%m-%dT%H:%M:%OSZ', tz='UTC')

init_dates(model, date, parameters)


#Get available time range####

model <- "ecmwf-ifs"
paramters <- "global_rad:W,t_2m:C"

available_time_range(model,parameters)