similar to: -1e+34

Dear Colleagues: Through your help an R related installation issue was resolved, but I now have the following usage issue. On any "get.var.ncdf" usage I am seeing: Error: in routine alloca() there is a stack overflow: thread 0, max 535822282KB, used 0KB, request 24B The same error is posted on a file as small as 50MB and as large as 500GB, with ulimit set to unlimited. I

dear I was lokking for a solution or an example on the internet for quite a time but since haven?t found an answer yet, I'd like to ask a maybe to simple question: I have a large ncdf-file with five dimension. temperature (t2m), the variable against, lat, lon and time. (height is included as well) the structure is [1] "file C:/RDaten/t2m.ETH.HC_A2.nc has 5 dimensions:" [1]

I would like to open an existing netCDF file and add a variable to it. I am using the ncdf package. This test code gives the idea of what I am trying to do: library(ncdf) print('here we go') print('first, construct netCDF file') t<-dim.def.ncdf('t','',1:1,unlim=T,create_dimvar=F) print('defining first vars')

Dear all Im new in R I have a necdf data set that I want to plot : this is my data set [1] "file Tmax.DJF.daily.1981_1999.echama2.nc has 4 dimensions:" [1] "longitude Size: 127" [1] "latitude Size: 110" [1] "ht Size: 1" [1] "t Size: 1680" [1] "------------------------" [1] "file Tmax.DJF.daily.1981_1999.echama2.nc has 1

I'm working with the ncdf package, and I'm seeing a behavior which I am unsure whether it is a bug or a feature. I am creating a variable, which I make with the precision of "byte" and also set a missing value, When I put into this variable, all my NA values are put in properly as the missing value. However, when I read it back, I get the missing value rather than NA.

Hi guys, I need your help!! My goal is to make a csv file from ncdf file. This is the code i've used : > hyo=open.ncdf("C:/CRUTEM3.nc") > hyo [1] "file C:/CRUTEM3.nc has 4 dimensions:" [1] "longitude Size: 72" [1] "latitude Size: 36" [1] "unspecified Size: 1" [1] "t Size: 1916" [1] "------------------------"

Dear all, I am attempting to convert 10 NetCDF files into a single NetCDF file, due to the data input requirements of a model I hope to use. I am using the ncdf package, version 1.6. The data are global-scale water values, on a monthly basis for 10 years (ie. 120 months of data in total; at present the data are separated by year, with 12 months of data in each file - mrunoff_1986 through to

Dear all, I am attempting to convert 10 NetCDF files into a single NetCDF file, due to the data input requirements of a model I hope to use. I am using the ncdf package, version 1.6. The data are global-scale water values, on a monthly basis for 10 years (ie. 120 months of data in total; at present the data are separated by year, with 12 months of data in each file - mrunoff_1986 through to

Hi, I'm trying to read a subset of a netcdf file into R, but although I'm relatively experienced using R, I'm still new to netCDF files, so this may be a very simple/stupid question! I've included an example of the type of file I'm looking at here. www.met.reading.ac.uk/~swp06hg/ccd1983_01-dk1_20.nc (~7Mb) It's a 2D array of the variable CCD along with its lat and

I got a netCDF file from a climate group and wanted to aggregate the data. The file summary looks like this library(ncdf) nc=open.ncdf("NCEP_prec_1949_58.nc") > nc [1] "file NCEP_prec_1949_58.nc has 4 dimensions:" [1] "Time Size: 14608" [1] "lat Size: 99" [1] "lon Size: 199" [1] "DateStrLen Size: 20" [1]

Dear All, Can anyone please let me know how exactly ncdf deals with NaN. I am trying to pass in a vector of data that has some NaN in it, into a variable in NetCDF. dimX <- dim.def.ncdf("X","count",(1:6)) dimY <- dim.def.ncdf("Y","count",(1:3)) var1 <-

Hello I am a new user of R . and I ve problem with R and netcdf . I succed installation , I could use all examples . But when I take my netcf it is different . I want to do statistic on this kind of file . 1) first calculate mean . my data is like that through ncdump -h test.nc netcdf test { dimensions: lat = 301 ; lon = 401 ; time = UNLIMITED ; // (80 currently)

Dear All, I recently got a 64bit machine and had netcdf-3.6.2 installed. Then I tried to install ncdf package but got the following error message when using netcdflib: gcc -std=gnu99 -I/home/ljin/share/R-2.6.1/include -I/home/ljin/share/R-2.6.1/include -I. -I/usr/local/include -fpic -g -O2 -c ncdf2.c -o ncdf2.o gcc -std=gnu99 -I/home/ljin/share/R-2.6.1/include

I am trying to create a NetCDF file with bathymetry (a matrix) and then to add a grid type (an integer) as variables. This is the relevant part of the code: library(ncdf) wfile="my_file.nc" msv=-10 grdtp=2 # Dimensions d1=dim.def.ncdf("lon","degrees",as.double(lon)) d2=dim.def.ncdf("lat","degrees",as.double(lat)) # Variables

Hi, I'm using the "ncdf" library for creating ncdf files. But I need to create about 100 variables per file (e.g. single rivers), So I do not like to create each variable separately. Unfortunately I found no way to make this work, as I'm unable to create a correct list of class "var.ncdf". ###code piece river=list(mode='var.ncdf', length=nriv)

Dear all, I have a problem in writing a variable to a NetCDF-File. My code works pretty well until the step put.var.ncdf(): # Get variables #--------------------- data1 <- open.ncdf("PREC_me_03-1500.nc") prec1 <- get.var.ncdf(data1,"PRECT") dim.time <- get.var.ncdf(data1,"time2") close.ncdf(data1) # Calculation #--------------------- spi24.me <-

Hi! I have a table with 3 columns, 2 for long/lat coordinates and 1 for values (radon concentration). I have Tables for every week of the year 2006, always same coordinates but other values, i.e. time series. Now I want to create a NetCDF file for, which is much easier to handle than 52 tables. I tried the following for the first dataset (i.e first week):

Dear All, I am a research student in environment. I have only little programming knowledge. I am currently doing the last project about rainfall impact on ground water quality in an area. It happens that I have to use R to read rainfall data (3 dimension) from ASC file (*.asc), and then write them into one NCDF file (*.nc). I have been working very hard on study R, but I

How to programmatically (i.e., without no or minimal handcoding) copy a netCDF file? (Without calling > system("cp whatever wherever") :-) Why I ask: I need to "do surgery" on a large netCDF file (technically an I/O API file which uses netCDF). My group believes a data-assimilation error caused a data variable to be corrupted in a certain way, so I'm going to

I have nc files for global soil moisture,here is one file https://echange-fichiers.inra.fr/get?k=f9DDllPKdUKs5ZNQwfq from the metadata ,the projection is cylindrical and the resolution is 25 km(it is based on authalic sphere based on International 1924 ellipsoid).As I want to compare with other data, I have to make them identical. - my other data are in WGS84 with 0.25*0.25 degree resolution