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Re: [ferret_users] Using xbox and zbox to find total transport



Hi James,

Using @SUM sums over the whole box so the transport below 293m may or may not be counted. Also I think you'll find that XBOX is in degrees and not metres. That will be the big difference.

@DIN is usually the way to go.

Russ

On 10/08/17 17:12, James wang wrote:
Hi all,

I was trying to calculate the transport using v[x=@din,z=@din], and i compared these values with v*xbox*zbox followed by x=@sum,z=@sum]. The results I am getting is not at all comparable. I understood from the forum that depth axis with irregular dz can cause wrong result. Then which way I should follow?. Here I attaching the details. I would be grateful for any suggestions



use Test.nc
let trans_all= vclim*xbox*zbox
let tran =trans_all[y=6,x=82:98@sum,z=0:300@sum]

let transint= vclim[y=6,x=82:98@din,z=0:300@din]

list tran,transint

LIST ZBOXLO[GZ=vclim],ZBOXHI[GZ=vclim],Z[GZ=vclim],ZBOX[GZ=vclim]


 Cached data cleared from memory
             DATA SET: ./Test.nc
             T: -0.5 to 11.5
             LONGITUDE: 82E to 98E
             LATITUDE: 5.8N
             DEPTH (m): 0 to 300
 Column  1: TRAN is TRANS_ALL[Y=6,X=82:98@SUM,Z=0:300@SUM]
 Column  2: TRANSINT is VCLIM[Y=6,X=82:98@DIN,Z=0:300@DIN]
            TRAN   TRANSINT
0    /  1: -48.22 -5516444.
1    /  2: -36.44 -4617991.
2    /  3:  -1.73 -1081710.
3    /  4:  36.21  3283094.
4    /  5:  37.66  4109916.
5    /  6: -15.87 -1500664.
6    /  7: -76.87 -8493372.
7    /  8: -79.02 -9094106.
8    /  9: -64.63 -7541917.
9    / 10: -17.76 -2386129.
10   / 11:  12.34  1152820.
11   / 12:  -6.74  -742074.
             DATA SET: ./Test.nc
             DEPTH (m): -0.02 to 5500
 Column  1: ZBOXLO is ZBOXLO (axis DEPTH)
 Column  2: ZBOXHI is ZBOXHI (axis DEPTH)
 Column  3: Z is Z (axis DEPTH)
 Column  4: ZBOX is ZBOX (axis DEPTH)
             ZBOXLO  ZBOXHI    Z    ZBOX
5       /  1:    -0.    10.     5.   10.1
15.1    /  2:    10.    20.    15.   10.1
25.3    /  3:    20.    31.    25.   10.3
35.8    /  4:    31.    41.    36.   10.7
46.6    /  5:    41.    52.    47.   11.1
58      /  6:    52.    64.    58.   11.7
70      /  7:    64.    76.    70.   12.5
82.9    /  8:    76.    90.    83.   13.5
96.9    /  9:    90.   105.    97.   14.7
112.3   / 10:   105.   121.   112.   16.3
129.5   / 11:   121.   139.   129.   18.3
149     / 12:   139.   160.   149.   21.0
171.4   / 13:   160.   185.   171.   24.4
197.8   / 14:   185.   214.   198.   29.0
229.5   / 15:   214.   249.   229.   35.3
268.5   / 16:   249.   293.   268.   44.1
317.6   / 17:   293.   350.   318.   56.5
381.4   / 18:   350.   424.   381.   74.1
465.9   / 19:   424.   523.   466.   99.0
579.3   / 20:   523.   654.   579.  131.7
729.4   / 21:   654.   824.   729.  169.5
918.4   / 22:   824.  1029.   918.  204.9
1139.2  / 23:  1029.  1259.  1139.  230.1
1378.6  / 24:  1259.  1502.  1379.  243.3
1625.7  / 25:  1502.  1750.  1626.  248.3
1875.1  / 26:  1750.  2000.  1875.  249.7
2125    / 27:  2000.  2250.  2125.  249.9
2375    / 28:  2250.  2500.  2375.  250.0
2625    / 29:  2500.  2750.  2625.  250.0
2875    / 30:  2750.  3000.  2875.  250.0
3125    / 31:  3000.  3250.  3125.  250.0
3375    / 32:  3250.  3500.  3375.  250.0
3625    / 33:  3500.  3750.  3625.  250.0
3875    / 34:  3750.  4000.  3875.  250.0
4125    / 35:  4000.  4250.  4125.  250.0
4375    / 36:  4250.  4500.  4375.  250.0
4625    / 37:  4500.  4750.  4625.  250.0
4875    / 38:  4750.  5000.  4875.  250.0
5125    / 39:  5000.  5250.  5125.  250.0
5375    / 40:  5250.  5500.  5375.  250.0





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