Re: how to calculate the zonal mean, while the coordinates of the data are two dimension

I forgot ... Please see NCAR's Climate Data Guide at:

       http://climatedataguide.ucar.edu/

Use the search to look for: sea ice

You will see:

 
http://climatedataguide.ucar.edu/guidance/sea-ice-concentration-overview-and-comparison-tables

and

 
http://climatedataguide.ucar.edu/guidance/sea-ice-concentration-data-nasa-goddard-and-nsidc-based-nasa-team-algorithm

On 12/5/12 6:57 PM, Dennis Shea wrote:
> You will have to interpolate to a rectiliner grid.
> You must use ESMF regridding. See Example 13 at
> http://www.ncl.ucar.edu/Applications/ESMF.shtml
> Good Luck
>
> On 12/5/12 11:44 AM, tingting@ucar.edu wrote:
>> Hi all,
>> I have one question on how to calculate the zonal mean of data, of which
>> the coordinates are all two dimension.
>> The data I used are Sea Ice Concentrations (SIC) form NASA Goddard and
>> NSIDC based on NASA Team algorithm, which are provided in the polar
>> stereographic projection at a grid cell size of 25 x 25 km.
>> Description of SIC data (part of coordinates ) , as follows:
>> .............
>> double latitude ( ygrid, xgrid )
>> standard_name : latitude
>> long_name : latitude
>> units : degrees_north
>> valid_range : ( 0, 90 )
>> _FillValue : -999
>>
>> double longitude ( ygrid, xgrid )
>> standard_name : longitude
>> long_name : longitude
>> units : degrees_east
>> valid_range : ( -180, 180 )
>> _FillValue : -999
>>
>> character projection ( ncl_scalar )
>> grid_boundary_top_projected_y : 5850000
>> grid_boundary_bottom_projected_y : -5350000
>> grid_boundary_right_projected_x : 3750000
>> grid_boundary_left_projected_x : -3850000
>> parent_grid_cell_row_subset_start : 0
>> parent_grid_cell_row_subset_end : 448
>> parent_grid_cell_column_subset_start : 0
>> parent_grid_cell_column_subset_end : 304
>> .........
>> Thanks for the help in advance.
>> Tingting
>>
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Received on Wed Dec 5 19:18:40 2012