netcdf

For the following netcdf file with daily global sea surface temperatures for 2016, I'm trying to (i) subset temporally, (ii) subset geographically, (iii) then take long-term means for each pixel and create a basic plot. Link to file: here library(raster) library(ncdf4) open the netcdf after setting my working directory nc_data <- nc_open('sst.day.mean.2016.v2.nc') change the time variable so it's easy to interpret time <- ncdf4::ncvar_get(nc_data, varid="time") head(time) change to dates that I can interpret time_d <- as.Date(time, format="%j", origin=as.Date("1800-01-01")) Now I'd like to

I have a NetCDF file with rotated coordinates. I need to convert it to normal lat/lon coordinates (-180 to 180 for lon and -90 to 90 for lat). library(ncdf4) nc_open('dat.nf') For the dimensions, it shows: [1] " 5 variables (excluding dimension variables):" [1] " double time_bnds[bnds,time] " [1] " double lon[rlon,rlat] " [1] " long_name: longitude" [1] " units: degrees_east" [1] " double lat[rlon,rlat] " [1] " long_name: latitude" [1] " units: degrees_north" [1] " char rotated_pole[] " [1] " grid_mapping_name: rotated_latitude_longitude" [1] " grid_north_pole_longitude: 83" [1] " grid_north

I am using the latest netcdf jar library from unidata website here: http://www.unidata.ucar.edu/downloads/netcdf/index.jsp I am looking for a java netcdf 4 tutorial/example but I can't seem to find one on their website or anywhere else for that matter. Version 4 is significantly different than the previous versions in that the write function (to write data to a variable) is no longer used and is replaced by writeCDL...I think. Has anyone used the latest version of netcdf with java? I'd really appreciate if someone could point me in the right direction. Thanks for your help! -Dom P.S. Here is

I am trying to read multiple NetCDF files and my code returns the error: ValueError: MFNetCDF4 only works with NETCDF3_* and NETCDF4_CLASSIC formatted files, not NETCDF4. I looked up the documentation and MFdataset is not supported by NetCDF4, so I'm confused where to go from here. I think the error is pretty clear, but there are ways to avoid it. 1/ You could convert the NetCDF files from NetCDF4 to the classic format using e.g. nccopy : nccopy -k classic nc4_file.nc ncclassic_file.nc 2/ xarray has a similar method (called open_mfdataset ) which is able to handle NetCDF4 files. A quick test:

CDO can crop a netcdf file in terms of latitude and longitude as long as they are defined in a standard way, and I know that NCO can cut out a subset of a netcdf file along any dimension if you know the range of indices that you want, as stated in the answers to this related question: Is there a way to crop a NETCDF file? However, I was wondering if the ncks hyperslabber can work directly on the values of the dimension, rather than the index values? Yes, using a decimal indicates the range of actual values (eg, latitudes) to extract over, while using integers indicates the range of indices

I am using Geoserver 2.8.1 version. I have netcdf and grib files, and I am uploading those to Geoserver through Geoserver extensions . After that, I use those data to show layer feature info in the map. (According to zoom scale and image size)I put arrows in the map to reference wind and wave directions. I calculate, to which angle the arrow will be positioned, by getting netcdf info like this; localhost:8080/geoserver/wms?Service=WMS&version=1.3&bbox=23.75,32.75,24.25,33.25&layers=it.geosolutions:u10&query_layers=it.geosolutions:u10&FEATURE_COUNT=10&REQUEST=GetFeatureInfo&INFO_FORMAT

Really simple problem with the raster package, also using ncdf4 to load in an ECMWF Era-Interim Netcdf file. Simply doing this: a <- nc_open("SSTs.nc") B <- brick(a, varname="sst") Returns this: Error in (function (classes, fdef, mtable) : unable to find an inherited method for function ‘brick’ for signature ‘"ncdf4"’ The file is just SST data over the whole globe, for 1 month (Jan2016). When I convert it into an array (i.e. extract dimensions/variable, and convert time to UTC, shove it into an array) I don't get the same error, but the raster package says it supports .nc files straight in (so

I am very new to Python, and I have managed to read in some variables from NetCDF in to Python and plot them, but the size of the variables isn't correct. My dataset is 144 x 90 (lon x lat) but when I call in the variables, it seems to miss a large section of data. Do I need to specify the size of the dataset I'm reading in? Is that what I'm doing wrong here? Here is the code I am using: import netCDF4 from netCDF4 import Dataset from pylab import * ncfile = Dataset('DEC3499.aijE03Ccek11p5A.nc','r') temp = ncfile.variables['tsurf'] prec = ncfile.variables['prec'] subplot(2,1,1) pcolor(temp)