[ncl-talk] Comparison of vertical profiles of variables defined at different pressure levels.

Bidyut Bikash Goswami bidyut at yonsei.ac.kr
Thu Jun 3 23:05:28 MDT 2021


Thanks Lyndz.

I found an escape using vint.

Regards,
Bidyut

On Fri, May 28, 2021 at 3:27 PM Lyndz <olagueralyndonmark429 at gmail.com>
wrote:

> Hi Bidyut,
>
> Is this a wrf output? Please check this one.
>
> https://www.ncl.ucar.edu/Document/Functions/WRF_arw/wrf_user_vert_interp.shtml
>
> If not, how about creating common bins for the two data. Then take the
> average of the values for each bin so you can compare them?
>
> Hope this helps.
>
> Lyndz
>
>
> On Fri, May 28, 2021 at 12:41 PM Bidyut Bikash Goswami via ncl-talk <
> ncl-talk at mailman.ucar.edu> wrote:
>
>> Dear All,
>>
>> I want to compare the vertical profiles of my model simulated variable
>> with observations. But *my model variables are defined over the
>> following pressure levels,*
>>
>> Variable: p
>> Type: float
>> Total Size: 120 bytes
>>             30 values
>> Number of Dimensions: 1
>> Dimensions and sizes: [lev | 30]
>> Coordinates:
>>             lev: [3.643466..992.5561]
>> Number Of Attributes: 2
>>   long_name : Pressure [mb]
>>   units : mb
>> (0) 3.643466
>> (1) 7.59482
>> (2) 14.35663
>> (3) 24.61222
>> (4) 38.2683
>> (5) 54.59548
>> (6) 72.01245
>> (7) 87.82123
>> (8) 103.3171
>> (9) 121.5472
>> (10) 142.994
>> (11) 168.2251
>> (12) 197.9081
>> (13) 232.8286
>> (14) 273.9108
>> (15) 322.2419
>> (16) 379.1009
>> (17) 445.9926
>> (18) 524.6872
>> (19) 609.7787
>> (20) 691.3894
>> (21) 763.4045
>> (22) 820.8584
>> (23) 859.5348
>> (24) 887.0203
>> (25) 912.6445
>> (26) 936.1984
>> (27) 957.4855
>> (28) 976.3254
>> (29) 992.5561
>>
>> *And I have observations defined over:*
>> Variable: po
>> Type: float
>> Total Size: 72 bytes
>>             18 values
>> Number of Dimensions: 1
>> Dimensions and sizes: [18]
>> Coordinates:
>> Number Of Attributes: 2
>>   long_name : Pressure [mb]
>>   units : mb
>> (0) 115
>> (1) 165
>> (2) 215
>> (3) 265
>> (4) 315
>> (5) 365
>> (6) 415
>> (7) 465
>> (8) 515
>> (9) 565
>> (10) 615
>> (11) 665
>> (12) 715
>> (13) 765
>> (14) 815
>> (15) 865
>> (16) 915
>> (17) 965
>>
>> What is the best way of extrapolating the observations to the same
>> vertical levels as the model levels?
>>
>> Regards,
>> Bidyut
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>
>

-- 
*Bidyut Bikash Goswami (**he/him/his)*

*Research ProfessorIrreversible Climate Change Research Center (IRCC)*
*​Yonsei University*
*Seoul, South Korea​*
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