Dear community, I have a daily time series of precipitation, which I intend to transform it into a single NetCDF file of daily precipitation. So, first, I would like to explore the best way to impute missing values, grid the daily values of the different available weather stations and get daily raster files into a .nc format. I have read about different climate/hydrological packages such as "hyfo", "meteoland", "gstat" and "hydroTMS". However, I haven't found a way to do it. I am a beginner in spatial/temporal analysis with R. So, my question is *does anybody have experience/document in developing a similar task so I can get some ideas?*
My database contains id, date, cod, lon, lat, elev, and precipitation value of 41 climate stations for the period 1980-2018. I have NAs values in the database. I organised my database in two datasets: 1. where the first column presents date and the other 50 columns present a climate station, while rows present the values/NAs [14245 observations of 42 variables]. 2. where the name, long, lat, and elev, are presented in the columns. 4 columns presenting information of 41 weather stations. I would appreciate any input, idea or suggestion to find a way out to grid the daily time series and get the ".nc" file. Thank you, Cristo Facundo Pérez [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo