A collection of simple scripts that were used in the past for scraping meteorological data from the internet.
Something like this will work:
library(scraping)
coor <- data.frame(lon=13.40,lat=52.52)
var <- c('temperature','relative humidity')
years <- c('2000','2001')
request <- def_request(coor,var,years)
get_nc(request)
nc2rds(request)
Variables are available from two datasets. From NCEP such as: temperature,relative humidity,u wind,v wind,soil heat flux,net radiation or precipitation rate. And from GPCC such as gpcc precipitation and number of gauges.
Please have a look at the vignette for more details.
In order to download ERA reanalysis you will need to install conda. Please refer to the conda manual to do this in your system.
After installing conda you will need to create an environment containing the python package ecmwf-api-client by typing conda create -n ecmwf ecmwf-api-client. This command will create the environment and install all necessary dependencies.
Then refer to ECMWF to get your own API key and put it into .ecmwfapirc with the form:
{
"url":"html://api.ecmwf.int/v1",
"key":"your_key",
"email":"your_email@xxx"
}
Finally run
def_request()
get_nc()
nc2rds()
as shown previously.
A rvest based package to harvest near real-time pluviometry data from SNIRH/Portugal.
Data is publicly available at SNIRH from the Portuguese Environemntal Agency. Right now it is possible to obtain rainfall data from the telemetry database. Objective is to make it easier to retrieve data from the website directly into an R workflow. Work in progress...
A selenium-based script for downloading the complete time-series of hundreds of hydro-meteorological stations in the São Francisco river basin.