Download and Read Brazilian Meteorological Data from INMET


[Up] [Top]

Documentation for package ‘rmet’ version 0.4.0

Help Pages

as.data.frame.rmet_data Classes of rmet data
inmet_anomaly Anomalies relative to the climatological normal
inmet_as_sf Convert stations or data to spatial points
inmet_availability Which stations and periods are in the cached archives
inmet_cache_clear Clear the rmet cache
inmet_cache_dir Default cache directory of rmet
inmet_cache_status Inspect downloaded INMET archives
inmet_completeness Data completeness by station and period
inmet_convert_radiation Convert units of solar radiation
inmet_daily Daily summaries of hourly INMET data
inmet_derive Derived hourly variables
inmet_design_et0 Design reference evapotranspiration
inmet_download Download INMET historical data archives
inmet_et0 Reference evapotranspiration
inmet_extract Extract INMET archives
inmet_fill Fill short gaps in hourly or daily data
inmet_get Download and read INMET data in one call
inmet_indices Climate indices from daily data
inmet_interpolate Interpolate station values to other locations
inmet_monthly Monthly summaries of daily INMET data
inmet_nearest Find the stations closest to locations
inmet_normals Climatological normals
inmet_pet_thornthwaite Potential evapotranspiration by Thornthwaite
inmet_qc Quality control of hourly INMET data
inmet_read Read cached INMET historical data
inmet_spi Standardized Precipitation Index
inmet_stations Search the INMET automatic-station catalogue
inmet_stations_within Stations inside an area
inmet_timezone Local time zone of Brazilian stations
inmet_water_balance Climatological water balance
plot.rmet_data Classes of rmet data
print.rmet_data Classes of rmet data
print.summary.rmet_data Classes of rmet data
rmet-classes Classes of rmet data
rmet_example Hourly weather data from INMET station A801 (Porto Alegre), 2023
summary.rmet_data Classes of rmet data