Dear all;
I have downloaded meteorology data from "
https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=form"
as .grib format. It has hourly data of a complete year (every hour of every
day of 12 months) and has 6 meteorology parameters. The file has been
attached.
I am trying to convert it to an excel file that puts every parameter in a
separated column. For instance, the first col represents Date, 2nd
represents Temperature and so on.
Is there any way to do it?
I used these codes but did not work:
# install.packages("rNOMADS")
library(rNOMADS)
# Read GRIB data
grib_data <- ReadGrib("C:/Users/admin/Downloads/Met.grib")
# Convert to a data frame
grib_df <- as.data.frame(grib_data)
# Write the data frame to a CSV file
write.csv(grib_df, file = "output.csv")
I would be more than happy if anyone could help me.
Sincerely
--
Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat194 at yahoo.com
Your message referred to an attached file but there was no attachment, I have no account at that service, so could not download a sample for myself. Does the licence for the data even allow you to send some of it in a message? Which parameters are you extracting? When you say "it didn't work", what actually happened? Which step went wrong and how? On Tue, 25 Jun 2024 at 20:33, javad bayat <j.bayat194 at gmail.com> wrote:> > Dear all; > I have downloaded meteorology data from " > https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=form" > as .grib format. It has hourly data of a complete year (every hour of every > day of 12 months) and has 6 meteorology parameters. The file has been > attached. > I am trying to convert it to an excel file that puts every parameter in a > separated column. For instance, the first col represents Date, 2nd > represents Temperature and so on. > Is there any way to do it? > I used these codes but did not work: > # install.packages("rNOMADS") > > library(rNOMADS) > > # Read GRIB data > grib_data <- ReadGrib("C:/Users/admin/Downloads/Met.grib") > > # Convert to a data frame > grib_df <- as.data.frame(grib_data) > > # Write the data frame to a CSV file > write.csv(grib_df, file = "output.csv") > > > I would be more than happy if anyone could help me. > Sincerely > > -- > Best Regards > Javad Bayat > M.Sc. Environment Engineering > Alternative Mail: bayat194 at yahoo.com > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
Do a web search on "convert grib data to csv". You will get many hits. You probably don't need R to do this. -- Bert On Tue, Jun 25, 2024 at 1:33?AM javad bayat <j.bayat194 at gmail.com> wrote:> Dear all; > I have downloaded meteorology data from " > > https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=form > " > as .grib format. It has hourly data of a complete year (every hour of every > day of 12 months) and has 6 meteorology parameters. The file has been > attached. > I am trying to convert it to an excel file that puts every parameter in a > separated column. For instance, the first col represents Date, 2nd > represents Temperature and so on. > Is there any way to do it? > I used these codes but did not work: > # install.packages("rNOMADS") > > library(rNOMADS) > > # Read GRIB data > grib_data <- ReadGrib("C:/Users/admin/Downloads/Met.grib") > > # Convert to a data frame > grib_df <- as.data.frame(grib_data) > > # Write the data frame to a CSV file > write.csv(grib_df, file = "output.csv") > > > I would be more than happy if anyone could help me. > Sincerely > > -- > Best Regards > Javad Bayat > M.Sc. Environment Engineering > Alternative Mail: bayat194 at yahoo.com > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]
Hi, While Bert is correct that there are plenty of tools, my preferred approach is to use the terra package to load a grib as a raster stack. From there, it's straightforward to use all the spatial tools with the data, or to extract it in whatever form and with whatever dimensions you wish. GIven the multidimensional nature of the data, "straightforward" may require some fiddling to get the format and variables you want in the way you want them. Sarah On Tue, Jun 25, 2024 at 4:33?AM javad bayat <j.bayat194 at gmail.com> wrote:> Dear all; > I have downloaded meteorology data from " > > https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=form > " > as .grib format. It has hourly data of a complete year (every hour of every > day of 12 months) and has 6 meteorology parameters. The file has been > attached. > I am trying to convert it to an excel file that puts every parameter in a > separated column. For instance, the first col represents Date, 2nd > represents Temperature and so on. > Is there any way to do it? > I used these codes but did not work: > # install.packages("rNOMADS") > > library(rNOMADS) > > # Read GRIB data > grib_data <- ReadGrib("C:/Users/admin/Downloads/Met.grib") > > # Convert to a data frame > grib_df <- as.data.frame(grib_data) > > # Write the data frame to a CSV file > write.csv(grib_df, file = "output.csv") > > > I would be more than happy if anyone could help me. > Sincerely > > -- > Best Regards > Javad Bayat > M.Sc. Environment Engineering > Alternative Mail: bayat194 at yahoo.com > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >-- Sarah Goslee (she/her) http://www.sarahgoslee.com [[alternative HTML version deleted]]