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Automatize downloading of meteorological/hydrological dataset from IMGW-PIB

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imgw

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The goal of the imgw R package is to automatize downloading of meteorological and hydrological data from the publicly available repository of Polish Institute of Meterology and Water Management - National Research Institute (IMGW-PIB)

WARNING:

All functions in the imgw are migrated now into the climate package. The imgw package and the associated webpage will not be updated anymore.

Installation

It is highly recommended to install the most up-to-date development version of climate instead of the imgw package. However, the stable release of imgw package is still available on the CRAN repository and can be installed with:

install.packages("imgw")

To install the most up-to-date development version of imgw from GitHub use:

library(remotes)
install_github("bczernecki/imgw")

Overview

Meteorological data

  • meteo() - Downloading hourly, daily, and monthly meteorological data from the SYNOP/CLIMATE/PRECIP stations available in the danepubliczne.imgw.pl collection. It is a wrapper for meteo_monthly(), meteo_daily(), and meteo_hourly().

  • meteo_sounding() - Downloading measurements of the vertical profile of atmosphere (aka rawinsonde data)

  • meteo_shortening() - Shortening column names of meteorological parameters to improve the readability of downloaded dataset and removing duplicated column names

Hydrological data

  • hydro() - Downloading hourly, daily, and monthly hydrological data from the SYNOP / CLIMATE / PRECIP stations available in the danepubliczne.imgw.pl collection. It is a wrapper for hydro_annual(), hydro_monthly(), and hydro_daily().

  • hydro_shortening() - Shortening column names of hydrological parameters to improve the readability of downloaded dataset and removing duplicated column names

Examples

library(imgw)
m = meteo_monthly(rank = "synop", year = 2000, coords = TRUE)
head(m)
#>            rank        id        X        Y   station   yy mm tmax_abs
#> 575 SYNOPTYCZNA 353230295 23.16228 53.10726 BIAŁYSTOK 2000  1      5.3
#> 577 SYNOPTYCZNA 353230295 23.16228 53.10726 BIAŁYSTOK 2000  2     10.6
#> 578 SYNOPTYCZNA 353230295 23.16228 53.10726 BIAŁYSTOK 2000  3     14.8
#> 579 SYNOPTYCZNA 353230295 23.16228 53.10726 BIAŁYSTOK 2000  4     27.8
#> 580 SYNOPTYCZNA 353230295 23.16228 53.10726 BIAŁYSTOK 2000  5     29.3
#> 581 SYNOPTYCZNA 353230295 23.16228 53.10726 BIAŁYSTOK 2000  6     32.6
#>     tmax_mean tmin_abs tmin_mean t2m_mean_mon t5cm_min rr_monthly
#> 575       0.4    -16.5      -4.5         -2.1    -23.5       34.2
#> 577       4.1    -10.4      -1.4          1.3    -12.9       25.4
#> 578       6.2     -6.4      -1.0          2.4     -9.4       45.5
#> 579      17.9     -4.6       4.7         11.5     -8.1       31.6
#> 580      21.3     -4.3       5.7         13.8     -8.3        9.4
#> 581      23.1      1.0       9.6         16.6     -1.8       36.4

h = hydro_annual(year = 2010)
head(h)
#>             id station riv_or_lake  hyy idyy Mesu idex   H beyy bemm bedd
#> 3223 150210180 ANNOPOL   Wisła (2) 2010   13    H    1 227 2009   12   19
#> 3224 150210180 ANNOPOL   Wisła (2) 2010   13    H    2 319   NA   NA   NA
#> 3225 150210180 ANNOPOL   Wisła (2) 2010   13    H    3 531 2010    3    3
#> 3226 150210180 ANNOPOL   Wisła (2) 2010   14    H    1 271 2010    8   29
#> 3227 150210180 ANNOPOL   Wisła (2) 2010   14    H    1 271 2010   10   27
#> 3228 150210180 ANNOPOL   Wisła (2) 2010   14    H    2 392   NA   NA   NA

Acknowledgment

Institute of Meteorology and Water Management - National Research Institute are the sources of the data.

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Automatize downloading of meteorological/hydrological dataset from IMGW-PIB

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