netcdf

I am trying to use the data on my own .csv file to create a netCDF file using the R package "ncdf4". My dataset is composed by 3 columns: longitude, latitude and temperature and it has 2592 rows. I have been following the suggestions in the package to add the dimension and the variables to the netCDF file. Everything is fin until I want to write the temperature data on my file. I got this error: Error in ncvar_put(nc = ncnew, varid = var_temp, data, start = c(1, 1, : ncvar_put: error: you asked to write 65160 values, but the passed data array only has 2592 entries! What's wrong? library(ncdf)

I have downloaded TRMM monthly precipitation rate in netCDF format from 1998 -2016, so approximately more than 200 files.The names of these files are 3B43.19980101.7.HDF.nc 3B43.19980201.7.HDF.nc 3B43.19980301.7.HDF.nc , and so on. I would like to concatenate all of these files into a single netCDF. I've tried using the NCO operator "ncrcat" which should be able to concatenate a very long series of files along the record dimension, in this case time, but so far no luck. I tried at first simple with only 2 files ncrcat -O -h 3B43.19980101.7.HDF.nc 3B43.19980201.7.HDF.nc out.nc got ERROR: no

I am rather new to programming and am having a very hard time understanding interpolation. Every single source I can find that attempts to explain it is extremely cryptic (especially the package specific sites for basemap/matplotlib). I am mapping using matplotlib's basemap however the nature of my data is that it comes in 5 degree by 5 degree blocks (lat lon blocks). I want to smooth out the map by interpolation. So first here is my code. from netCDF4 import Dataset import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap, addcyclic #load the netcdf file

Is it possible to delete a variable from a Scientific.IO.NetCDF.NetCDFFile ? If a file is opened like so: nc = Scientific.IO.NetCDF.NetCDFFile("File.nc", "a") neither a del nc.variables["var"] nor a nc.variables["var"] = None will delete the variable var . Thx in advance for any insight. The simple answer is that you can not delete a variable. This is a "feature" of the NetCDF C-API and is not a shortcoming of Scientific.IO.NetCDF or any of the other python netcdf modules. From the official NetCDF user guide: Attributes are more dynamic than variables or dimensions; they can be deleted and

I know there is software like wgrib2 that will convert files in grib and grib2 format to NetCDF files, but I need to go the other way: from NetCDF to grib2 , because the local weather offices here can only consume gridded data in grib2 format. It appears that one solution could be in Python, using the NetCDF4-Python library (or other) to read the NetCDF files and using pygrib to write grib2 . Is there a better way? After some more research, I ended up using the British Met Office "Iris" package ( http://scitools.org.uk/iris/docs/latest/index.html ) which can read NetCDF as well as OPeNDAP,

I am trying to create a multi-dimensional NetCDF file using the R package ncdf . I am working with climatic daily observations for a set of 1500 points, the number of observations is ~ 18250 for each point. The problem is that the structure of the NetCDF file ( create.ncdf ) occupies 4Gb and each point makes the size of the file increase by more than 3 Gb ( put.var.ncdf ) This is the code I am using: # Make a few dimensions we can use dimX <- dim.def.ncdf( "Long", "degrees", Longvector ) dimY <- dim.def.ncdf( "LAT", "degrees", Latvector ) dimT <- dim.def.ncdf( "Time", "days", 1:18250, unlim

I would like to write a netCDF file using R with 'unlimited' dimensions that I can later extend. This is what I have tried: Create a netcdf file library(ncdf4) ## define lat, lon time dimensions lat <- ncdim_def("latitude", "degrees_east", vals = 44.0, unlim = TRUE) lon <- ncdim_def("longitude", "degrees_north", vals = -88.5, unlim = TRUE) time <- ncdim_def("time", "days since 0000-01-01", 1:1000) ## define data with these dimensions x <- ncvar_def("myvar", units = "m2", dim = list(lat, lon, time)) ## create, write to, close nc file nc <- nc_create(filename = "tmp.nc", vars = list(x)) ncvar