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Dataset containing accumulated rainfall observed at meteorological stations operated by the Brazilian National Institute of Meteorology (INMET) during the extreme flooding event that affected Rio Grande do Sul, Brazil, in 2024.

Usage

floods_rs

Format

A data frame with 545 rows and 4 variables:

code_wmo

Character. World Meteorological Organization (WMO) identifier of the INMET weather station.

lat

Numeric. Latitude of the station in decimal degrees (WGS84).

lon

Numeric. Longitude of the station in decimal degrees (WGS84).

total_rainfall

Numeric. Total accumulated rainfall (mm) during the study period.

Source

Brazilian National Institute of Meteorology (INMET).

Details

The dataset contains 545 monitoring stations distributed across Brazil. Each row corresponds to a single INMET weather station and includes its identification code, geographic coordinates, and the total accumulated rainfall (in millimeters) recorded between April 27 and May 5, 2024.

Examples

head(floods_rs)
#> # A tibble: 6 × 4
#>   code_wmo    lat   lon total_rainfall
#>   <chr>     <dbl> <dbl>          <dbl>
#> 1 A005     -13.5  -49.2            3.4
#> 2 A018     -12.0  -48.6            0  
#> 3 A044      -5.64 -48.1            3.8
#> 4 A101      -3.10 -60.0            6.6
#> 5 A110      -8.78 -67.3           41.8
#> 6 A119      -3.29 -60.6           20.6
summary(floods_rs$total_rainfall)
#>    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
#>    0.00    0.00    0.20   37.16   27.60  647.20