how to obtain data of long years included NetCDF file for a " small-time range"?

I have a NetCDF file from GPCC (GLOBAL PRECIPITATION CLIMATOLOGY CENTRE). this file include precipitation from 1800 to 2016 at 0.5 deere grids for all around the globe in a monthly format. I only want data from 1982 to 2015. how to cut this range from NetCDF file? if it possible I need a related code or function. I write the nv(disp) information of my file below.

Format:
           netcdf4_classic
Global Attributes:
           Original_Source = 'http://www.dwd.de/en/FundE/Klima/KLIS/int/GPCC/GPCC.htm
                              is the webpage and the data is at ftp://ftp.dwd.de/pub/data/gpcc/download.html'
           Reference       = 'Users of the data sets are kindly requested to give feed back and to refer to GPCC publications on this webpage: http://www.dwd.de/bvbw/appmanager/bvbw/dwdwwwDesktop/?_nfpb=true&_pageLabel=_dwdwww_klima_umwelt_datenzentren_wzn&T12404518261141645246564gsbDocumentPath=Content%2FOeffentlichkeit%2FKU%2FKU4%2FKU42%2Fteaser__product__access.html&_state=maximized&_windowLabel=T12404518261141645246564&lastPageLabel=_dwdwww_klima_umwelt_datenzentren_wzn'
           original_source = 'ftp://ftp-anon.dwd.de/pub/data/gpcc/html/fulldata_download.html'
           Conventions     = 'CF 1.0'
           dataset_title   = 'Global Precipitation Climatology Centre (GPCC)'
           References      = 'https://www.esrl.noaa.gov/psd/data/gridded/data.gpcc.html'
           title           = 'GPCC Full Data Reanalysis Version 2018 0.5x0.5 Monthly Total'
           history         = 'Created 09/2018  based on V2018 data obtained via ftp'
           data_modified   = '2019-03-12'
           _NCProperties   = 'version=2,netcdf=4.6.3,hdf5=1.10.5'
Dimensions:
           lat   = 360
           lon   = 720
           nbnds = 2
           time  = 1512  (UNLIMITED)
Variables:
    lat   
           Size:       360x1
           Dimensions: lat
           Datatype:   single
           Attributes:
                       long_name          = 'Latitude'
                       units              = 'degrees_north'
                       standard_name      = 'latitude'
                       axis               = 'Y'
                       coordinate_defines = 'point'
                       actual_range       = [89.75       -89.75]
    lon   
           Size:       720x1
           Dimensions: lon
           Datatype:   single
           Attributes:
                       long_name          = 'Longitude'
                       units              = 'degrees_east'
                       standard_name      = 'longitude'
                       actual_range       = [0.25        359.75]
                       axis               = 'X'
                       coordinate_defines = 'point'
    time  
           Size:       1512x1
           Dimensions: time
           Datatype:   double
           Attributes:
                       long_name          = 'Time'
                       units              = 'days since 1800-1-1 00:00:00'
                       delta_t            = '0000-01-00 00:00:00'
                       avg_period         = '0000-01-00 00:00:00'
                       standard_name      = 'time'
                       axis               = 'T'
                       coordinate_defines = 'start'
                       actual_range       = [33237  79227]
    precip
           Size:       720x360x1512
           Dimensions: lon,lat,time
           Datatype:   single
           Attributes:
                       missing_value = -9.969209968386869e+36
                       units         = 'mm'
                       var_desc      = 'Precipitation'
                       level_desc    = 'Surface'
                       parent_stat   = 'Observations'
                       long_name     = 'GPCC Monthly total of precipitation'
                       valid_range   = [0  8000]
                       statistic     = 'Total'
                       level         = 'Surface'
                       actual_range  = [0      4552.4302]
                       dataset       = 'GPCC Precipitation 0.5degree V2018 Full Reanalysis'

Answer 1

[Chad Greene]

You can load only the time range of interest by specifying the start indices when you call ncread.

Start by using ncdateread to get a time vector. Something like

t = ncdateread(filename,'time'); 

Then figure out which index starts the time range of interest:

ind = find(t>=datetime('jan 1, 1982'),1,'first'); 

Then load the gridded data, specifying the starting indices for each dimension of the precipitation data cube:

P = ncread(filename,'precip',[1 1 ind]); 

[BN]

Thank You, Best Regards