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How to extract time series from a netCDF file?
I want to extract time series from a variable in a 3D (lon,lat,time) netcdf file at specific lon/lat points. The raster is a nc file where: I have a point shapefile (lat/lon) where a point is (108.3°,58.6°).
How does I extract data from netCDF on given lat lon?
Thanks for your reply. but I have to extract data from netcdf on lat lon provided in csv file which means first I have to read lat lon from csv file then read lat lon from netcdf file, then data will be extracted from netcdf over those lat lon which is in CSV file. Will it possible in NCL? You can do all that in R very easily.
How to extract data from netcdf4 in Python?
As for the time dimension, xarray converts automatically the difficult to read “seconds past” format of netCDF4 in a more human readable np.datetime64. However, I prefer to select dates with the help of pandas.to_datetime () method, that easily converts strings to datetime.datetime (which is even more human readable than np.datetime ).
How to extract T2 from a netCDF file?
You can do it using python with netcdf4 and numpy libraries. The extraction also depends on the dimensions of your variable. in the command above I am extracting the T2 from the netcdf file at the first hour of the data (0), at row 30 and column 30.
How to extract data from NetCDF in Python?
You first need to know the order of the dimensions in the time/space varying variables like e.g. u10, which you can obtain with: Next it is a matter of slicing/indexing the array correctly. If you want data for lets say latitude=30, longitude = 10, the corresponding (closest) indexes can be found with (after importing Numpy as import numpy as np ):
How to extract data from a NC file?
I have an nc file that has several variables and I need to extract data from those nc files in a new order. My nc file has 8 variables (longitude, latitude, time, u10, v10, swh, mwd, mwp) and the logic I’m trying is “If I input longitude and latitude, my program outputs other variables (u10, v10, swh, mwd, mwp) ordered by time.”
Why does netCDF not read the VAR data?
The var data are not read as I expected, apparently because data is masked: The var name, and the time series are correct, as well of the rest of the script. The only thing that doesn’t work is the var data retrieved. This is the time serie I get:
How to store point and station time series data?
Yes, the NetCDF CF Metadata Conventions version 1.6 specifies how to store point and station time series data in chapter 9 “Discrete Sampling Geometries”.
How is the number of locations measured in netCDF?
The number of locations is cca. 1000 locations with latitude, longitude coordinates. At each location up to 5 parameters (water level, discharge, rainfall, snow depth, temperature) are measured at regular hourly time-step (gaps in time-series are labeled with a special “nodatavalue” code).
https://www.youtube.com/watch?v=hrm5RmsVXo0