Sent from my phone. Please excuse my brevity.
On June 2, 2016 1:42:55 AM PDT, Miluji Sb <milujisb at gmail.com> wrote:
>Dear all,
>
>I have used the following code to read in a ncdf file
>
>library(chron)
>library(lattice)
>library(ncdf4)
>library(data.table)
>
>ncname <- ("/file_path")
>ncfname <- paste(ncname, ".nc", sep = "")
>dname <- "ssl" # note: tmp means temperature (not temporary)
>
>ncin <- nc_open(ncfname)
>print(ncin)
>
>The attributes of the file are:
>
> 4 variables (excluding dimension variables):
> double longitude[row]
> long_name: longitude
> units: degrees_east
> standard_name: longitude
> double latitude[row]
> long_name: latitude
> units: degrees_north
> standard_name: latitude
> double ssl[col,row]
> long_name: storm surge level
> units: m
> _FillValue: -99999
> scale_factor: 1
> add_offset: 1
> float RP[col]
> long_name: return period
> units: yr
> Contents: The RPs have been estimated following the Peak Over
>Threshold Method (see reference below)
> Starting date: 01-Dec-2009
> End date: 30-Nov-2099 21:00:00
> 2 dimensions:
> col Size:8
> row Size:2242
>
>I would like to convert the data into a dataframe by longitude and
>latitude. Is that possible? Thank you!
>
>Sincerely,
>
>Milu
>
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>
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