https://github.com/bczernecki/imgw
Automatize downloading of meteorological/hydrological dataset from IMGW-PIB
https://github.com/bczernecki/imgw
Last synced: 2 months ago
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Automatize downloading of meteorological/hydrological dataset from IMGW-PIB
- Host: GitHub
- URL: https://github.com/bczernecki/imgw
- Owner: bczernecki
- License: other
- Created: 2017-04-05T08:23:35.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2020-08-11T17:27:10.000Z (almost 5 years ago)
- Last Synced: 2025-04-15T00:04:30.148Z (2 months ago)
- Language: R
- Homepage: http://rclimate.ml
- Size: 134 MB
- Stars: 11
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# imgw
[](https://travis-ci.org/bczernecki/imgw)
[](https://cran.r-project.org/package=imgw)
[](https://cran.r-project.org/package=imgw)
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)](https://dane.imgw.pl/)
## WARNING:
All functions in the `imgw` are migrated now into the [climate package](https://github.com/bczernecki/climate/).
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](https://CRAN.R-project.org) repository and can be installed with:
``` r
install.packages("imgw")
```
To install the most up-to-date development version of imgw from [GitHub](https://github.com/bczernecki/imgw) use:
``` r
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
``` r
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.