<div dir="ltr">Dear Arlindo,<br><br>My data is synoptic monthly means (having average for all the days in a month at 3, 6, 9, 12, 15, 18, 21, 00) for each month. I have one year data only so total time steps will become 8*12=96. I followed your instruction and write the ctl. It seems as GrADS is not looking at my edef definition because GrADS is still changing days and not the months after 8 values. Also I am only getting data at first 8 time steps and get undefined values for the rest. You can see my grib file information in my previous email. Please suggest me. My ctl is given below:<br>
<br>dset ^ei_mnth_fc_sfc_1.5x1.5_19890101_19891201.grib<br>index ^ei_mnth_fc_sfc_1.5x1.5_19890101_19891201.grib.idx<br>undef 9.999E+20<br>title ei_mnth_fc_sfc_1.5x1.5_19890101_19891201.grib<br>* produced by grib2ctl v0.9.12.5p46<br>
dtype grib 255<br>options yrev<br>ydef 121 linear -90.000000 1.5<br>xdef 240 linear 0.000000 1.500000<br>tdef 96 linear 03Z01jan1989 3hr<br>edef 12 names<br>198901 198902 198903 198904 198905 198906 198907 198908 198909 198910 198911 198912<br>
zdef 1 linear 1 1<br>vars 1<br>TPsfc 0 228,1,0 ** surface Total precipitation m<br>ENDVARS<br><div class="gmail_quote"><div><br>Regards,<br><br>Mubashar <br></div><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
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Today's Topics:<br>
<br>
1. Re: Problem with GrADS in reading ECMWF synoptic monthly<br>
means data (Arlindo da Silva)<br>
2. Re: Problem with GrADS in reading ECMWF synoptic monthly<br>
means data (Mubashar Dogar)<br>
<br>
<br>
----------------------------------------------------------------------<br>
<br>
Message: 1<br>
Date: Sun, 18 Sep 2011 16:18:04 -0400<br>
From: Arlindo da Silva <<a href="mailto:dasilva@alum.mit.edu">dasilva@alum.mit.edu</a>><br>
Subject: Re: [gradsusr] Problem with GrADS in reading ECMWF synoptic<br>
monthly means data<br>
To: GrADS Users Forum <<a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a>><br>
Message-ID:<br>
<CALz7xZdWvCo29hfGE=Pyk2G7bs2=<a href="mailto:o37XKgwGqdzCv4of-%2BEdrw@mail.gmail.com">o37XKgwGqdzCv4of-+Edrw@mail.gmail.com</a>><br>
Content-Type: text/plain; charset="iso-8859-1"<br>
<br>
On Sun, Sep 18, 2011 at 2:39 PM, Mubashar Dogar <<a href="mailto:mubashardogar@gmail.com">mubashardogar@gmail.com</a>>wrote:<br>
<br>
><br>
> Dear GrADS users,<br>
><br>
> I am facing a problem with time steps of a netcdf file downloaded for<br>
> synoptic monthly means of ECMWF ERA-INTERIM forecast product for the year<br>
> 1989 (downloaded for surface total precipitation for all time steps<br>
> available from: <a href="http://data-portal.ecmwf.int/data/d/interim_mnth/" target="_blank">http://data-portal.ecmwf.int/data/d/interim_mnth/</a>). This<br>
> file is basically synoptic monthly means generated by long term average of<br>
> corresponding 3 hour in all the days of a month, giving 8 time steps in a<br>
> month. So instead of reading 96 values that represents to 12 months (8<br>
> values in each months) GrADS read all these values by considering 8 time<br>
> steps in a day instead in a month. I mean GrADS reads these hours in a daily<br>
> format instead of monthly. Does GrADS not deal with synoptic monthly means?<br>
> I have grib file as well for the same data, what should be time increment in<br>
> a ctl file to open the same grib file?<br>
><br>
><br>
One strategy is to use the ensemble dimension to deal with the fact that you<br>
have 2 time scales involved. For example, you you associate each month with<br>
the grads time dimension and each "time of the day" with the grads ensemble<br>
dimension. (Or you can swap these if you prefer.) This recipe discusses how<br>
this can be done for the MERRA monthly diurnal files.<br>
<br>
<a href="http://cookbooks.opengrads.org/index.php?title=Recipe-024:_Using_the_Ensemble_Dimension_with_Monthly_Mean_Diurnal_files_from_MERRA" target="_blank">http://cookbooks.opengrads.org/index.php?title=Recipe-024:_Using_the_Ensemble_Dimension_with_Monthly_Mean_Diurnal_files_from_MERRA</a><br>
<br>
Arlindo<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
--<br>
Arlindo da Silva<br>
<a href="mailto:dasilva@alum.mit.edu">dasilva@alum.mit.edu</a><br>
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Message: 2<br>
Date: Mon, 19 Sep 2011 06:44:39 +0300<br>
From: Mubashar Dogar <<a href="mailto:mubashardogar@gmail.com">mubashardogar@gmail.com</a>><br>
Subject: Re: [gradsusr] Problem with GrADS in reading ECMWF synoptic<br>
monthly means data<br>
To: <a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a><br>
Message-ID:<br>
<CAHBht22uwemsh4cgx9z_pJ56jC-J_Xp=<a href="mailto:b3di8UXmG-0umQxQgw@mail.gmail.com">b3di8UXmG-0umQxQgw@mail.gmail.com</a>><br>
Content-Type: text/plain; charset="iso-8859-1"<br>
<br>
Dear Jennifer,<br>
<br>
*Here is the output of ncdump -c as requested. I am also giving the output<br>
of wgrib -h for the grib format of the same data at the end:*<br>
<br>
ncdump -c <a href="http://ei_mnth_fc_sfc_1.5x1.5_19890101_19891201.nc" target="_blank">ei_mnth_fc_sfc_1.5x1.5_19890101_19891201.nc</a><br>
netcdf ei_mnth_fc_sfc_1.5x1.5_19890101_19891201 {<br>
dimensions:<br>
longitude = 240 ;<br>
latitude = 121 ;<br>
time = UNLIMITED ; // (96 currently)<br>
variables:<br>
float longitude(longitude) ;<br>
longitude:units = "degrees_east" ;<br>
longitude:long_name = "longitude" ;<br>
float latitude(latitude) ;<br>
latitude:units = "degrees_north" ;<br>
latitude:long_name = "latitude" ;<br>
int time(time) ;<br>
time:units = "hours since 1900-01-01 00:00:0.0" ;<br>
time:long_name = "time" ;<br>
short tp(time, latitude, longitude) ;<br>
tp:scale_factor = 4.25320233951185e-07 ;<br>
tp:add_offset = 0.0139356174654106 ;<br>
tp:_FillValue = -32767s ;<br>
tp:missing_value = -32767s ;<br>
tp:units = "m" ;<br>
tp:long_name = "Total precipitation" ;<br>
<br>
// global attributes:<br>
:Conventions = "CF-1.0" ;<br>
:history = "2011-09-18 14:19:37 GMT by mars2netcdf-0.92" ;<br>
data:<br>
<br>
longitude = 0, 1.5, 3, 4.5, 6, 7.5, 9, 10.5, 12, 13.5, 15, 16.5, 18, 19.5,<br>
21, 22.5, 24, 25.5, 27, 28.5, 30, 31.5, 33, 34.5, 36, 37.5, 39, 40.5,<br>
42,<br>
43.5, 45, 46.5, 48, 49.5, 51, 52.5, 54, 55.5, 57, 58.5, 60, 61.5, 63,<br>
64.5, 66, 67.5, 69, 70.5, 72, 73.5, 75, 76.5, 78, 79.5, 81, 82.5, 84,<br>
85.5, 87, 88.5, 90, 91.5, 93, 94.5, 96, 97.5, 99, 100.5, 102, 103.5,<br>
105,<br>
106.5, 108, 109.5, 111, 112.5, 114, 115.5, 117, 118.5, 120, 121.5, 123,<br>
124.5, 126, 127.5, 129, 130.5, 132, 133.5, 135, 136.5, 138, 139.5, 141,<br>
142.5, 144, 145.5, 147, 148.5, 150, 151.5, 153, 154.5, 156, 157.5, 159,<br>
160.5, 162, 163.5, 165, 166.5, 168, 169.5, 171, 172.5, 174, 175.5, 177,<br>
178.5, 180, 181.5, 183, 184.5, 186, 187.5, 189, 190.5, 192, 193.5, 195,<br>
196.5, 198, 199.5, 201, 202.5, 204, 205.5, 207, 208.5, 210, 211.5, 213,<br>
214.5, 216, 217.5, 219, 220.5, 222, 223.5, 225, 226.5, 228, 229.5, 231,<br>
232.5, 234, 235.5, 237, 238.5, 240, 241.5, 243, 244.5, 246, 247.5, 249,<br>
250.5, 252, 253.5, 255, 256.5, 258, 259.5, 261, 262.5, 264, 265.5, 267,<br>
268.5, 270, 271.5, 273, 274.5, 276, 277.5, 279, 280.5, 282, 283.5, 285,<br>
286.5, 288, 289.5, 291, 292.5, 294, 295.5, 297, 298.5, 300, 301.5, 303,<br>
304.5, 306, 307.5, 309, 310.5, 312, 313.5, 315, 316.5, 318, 319.5, 321,<br>
322.5, 324, 325.5, 327, 328.5, 330, 331.5, 333, 334.5, 336, 337.5, 339,<br>
340.5, 342, 343.5, 345, 346.5, 348, 349.5, 351, 352.5, 354, 355.5, 357,<br>
358.5 ;<br>
<br>
latitude = 90, 88.5, 87, 85.5, 84, 82.5, 81, 79.5, 78, 76.5, 75, 73.5, 72,<br>
70.5, 69, 67.5, 66, 64.5, 63, 61.5, 60, 58.5, 57, 55.5, 54, 52.5, 51,<br>
49.5, 48, 46.5, 45, 43.5, 42, 40.5, 39, 37.5, 36, 34.5, 33, 31.5, 30,<br>
28.5, 27, 25.5, 24, 22.5, 21, 19.5, 18, 16.5, 15, 13.5, 12, 10.5, 9,<br>
7.5,<br>
6, 4.5, 3, 1.5, 0, -1.5, -3, -4.5, -6, -7.5, -9, -10.5, -12, -13.5, -15,<br>
<br>
-16.5, -18, -19.5, -21, -22.5, -24, -25.5, -27, -28.5, -30, -31.5, -33,<br>
-34.5, -36, -37.5, -39, -40.5, -42, -43.5, -45, -46.5, -48, -49.5, -51,<br>
-52.5, -54, -55.5, -57, -58.5, -60, -61.5, -63, -64.5, -66, -67.5, -69,<br>
-70.5, -72, -73.5, -75, -76.5, -78, -79.5, -81, -82.5, -84, -85.5, -87,<br>
-88.5, -90 ;<br>
<br>
time = 780171, 780174, 780177, 780180, 780183, 780186, 780189, 780192,<br>
780915, 780918, 780921, 780924, 780927, 780930, 780933, 780936, 781587,<br>
781590, 781593, 781596, 781599, 781602, 781605, 781608, 782331, 782334,<br>
782337, 782340, 782343, 782346, 782349, 782352, 783051, 783054, 783057,<br>
783060, 783063, 783066, 783069, 783072, 783795, 783798, 783801, 783804,<br>
783807, 783810, 783813, 783816, 784515, 784518, 784521, 784524, 784527,<br>
784530, 784533, 784536, 785259, 785262, 785265, 785268, 785271, 785274,<br>
785277, 785280, 786003, 786006, 786009, 786012, 786015, 786018, 786021,<br>
786024, 786723, 786726, 786729, 786732, 786735, 786738, 786741, 786744,<br>
787467, 787470, 787473, 787476, 787479, 787482, 787485, 787488, 788187,<br>
788190, 788193, 788196, 788199, 788202, 788205, 788208 ;<br>
}*<br>
<br>
Here is the output from wgrib for the same data but downloaded in grib<br>
format:*<br>
<br>
wgrib -h ei_mnth_fc_sfc_1.5x1.5_19890101_19891201.grib<br>
1:0:d=89010100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
2:58188:d=89010100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
3:116376:d=89010100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
4:174564:d=89010100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
5:232752:d=89010112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
6:290940:d=89010112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
7:349128:d=89010112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
8:407316:d=89010112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
9:465504:d=89020100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=28<br>
10:523692:d=89020100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=28<br>
11:581880:d=89020100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=28<br>
12:640068:d=89020100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=28<br>
13:698256:d=89020112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=28<br>
14:756444:d=89020112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=28<br>
15:814632:d=89020112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=28<br>
16:872820:d=89020112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=28<br>
17:931008:d=89030100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
18:989196:d=89030100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
19:1047384:d=89030100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
20:1105572:d=89030100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
21:1163760:d=89030112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
22:1221948:d=89030112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
23:1280136:d=89030112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
24:1338324:d=89030112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
25:1396512:d=89040100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
26:1454700:d=89040100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
27:1512888:d=89040100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
28:1571076:d=89040100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
29:1629264:d=89040112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
30:1687452:d=89040112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
31:1745640:d=89040112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
32:1803828:d=89040112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
33:1862016:d=89050100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
34:1920204:d=89050100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
35:1978392:d=89050100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
36:2036580:d=89050100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
37:2094768:d=89050112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
38:2152956:d=89050112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
39:2211144:d=89050112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
40:2269332:d=89050112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
41:2327520:d=89060100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
42:2385708:d=89060100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
43:2443896:d=89060100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
44:2502084:d=89060100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
45:2560272:d=89060112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
46:2618460:d=89060112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
47:2676648:d=89060112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
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fcst:ave@24hr:mon mean:NAve=31<br>
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55:3142152:d=89070112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
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56:3200340:d=89070112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
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57:3258528:d=89080100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
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59:3374904:d=89080100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
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63:3607656:d=89080112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
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64:3665844:d=89080112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
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65:3724032:d=89090100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
66:3782220:d=89090100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=6:P2=24:TimeU=1:sfc:6hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
67:3840408:d=89090100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
68:3898596:d=89090100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
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fcst:ave@24hr:mon mean:NAve=30<br>
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fcst:ave@24hr:mon mean:NAve=30<br>
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fcst:ave@24hr:mon mean:NAve=30<br>
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fcst:ave@24hr:mon mean:NAve=30<br>
73:4189536:d=89100100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
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fcst:ave@24hr:mon mean:NAve=31<br>
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fcst:ave@24hr:mon mean:NAve=31<br>
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fcst:ave@24hr:mon mean:NAve=31<br>
77:4422288:d=89100112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
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fcst:ave@24hr:mon mean:NAve=31<br>
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fcst:ave@24hr:mon mean:NAve=30<br>
83:4771416:d=89110100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=9:P2=24:TimeU=1:sfc:9hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
84:4829604:d=89110100:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
85:4887792:d=89110112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=3:P2=24:TimeU=1:sfc:3hr<br>
fcst:ave@24hr:mon mean:NAve=30<br>
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fcst:ave@24hr:mon mean:NAve=31<br>
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fcst:ave@24hr:mon mean:NAve=31<br>
96:5527860:d=89120112:TP:kpds5=228:kpds6=1:kpds7=0:TR=113:P1=12:P2=24:TimeU=1:sfc:12hr<br>
fcst:ave@24hr:mon mean:NAve=31<br>
<br>
<br>
<br>
> Today's Topics:<br>
><br>
> 1. Re: Box Plot in GrADS? (Jayakrishnan PR)<br>
> 2. Re: Convert monthly to yearly accumulated rainfall<br>
> (Rafanoharana Serge Claudio)<br>
> 3. Invitation to connect on LinkedIn (Rajeevan K via LinkedIn)<br>
> 4. Re: lats4d and re (Arlindo da Silva)<br>
> 5. Re: Moisture flux convergence/divergence (Arlindo da Silva)<br>
> 6. Problem with GrADS in reading ECMWF synoptic monthly means<br>
> data (Mubashar Dogar)<br>
> 7. Re: Problem with GrADS in reading ECMWF synoptic monthly<br>
> means data (Jennifer Adams)<br>
><br>
><br>
> ----------------------------------------------------------------------<br>
><br>
> Message: 1<br>
> Date: Sat, 17 Sep 2011 10:24:57 +0530<br>
> From: Jayakrishnan PR <<a href="mailto:prjayakrishnan@gmail.com">prjayakrishnan@gmail.com</a>><br>
> Subject: Re: [gradsusr] Box Plot in GrADS?<br>
> To: GrADS Users Forum <<a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a>><br>
> Message-ID:<br>
> <CA+P5ZEE1-peEObQ1nMB_c1qFa_PNXNOJZ6mq03Eqi=<a href="mailto:DiJzbB6A@mail.gmail.com">DiJzbB6A@mail.gmail.com</a><br>
> ><br>
> Content-Type: text/plain; charset="iso-8859-1"<br>
><br>
> Dear Matei,<br>
> I am wondering why you are sticking to Grads itself. Grads is<br>
> a software designed to plot griided data and analysis of that data. it is<br>
> not suitable for plotting these kind of graphs. You can choose softwares<br>
> such as NCL or origin for plotting these kind of graphs. No need for<br>
> sticking into Grads.<br>
> ><br>
> ><br>
> ><br>
><br>
><br>
> --<br>
> Sincerely<br>
> ***********************************************<br>
> Jayakrishnan.P.R<br>
> CSIR-Senior Research Fellow<br>
> Department of Atmospheric Sciences<br>
> Cochin University of Science and Technology (CUSAT), Cochin-682 016<br>
> Kerala, India.<br>
> Mob: 09895417565<br>
><br>
> ***********************************************<br>
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><br>
> ------------------------------<br>
><br>
> Message: 2<br>
> Date: Sat, 17 Sep 2011 15:11:20 +0700<br>
> From: Rafanoharana Serge Claudio <<a href="mailto:rafanoharana@gmail.com">rafanoharana@gmail.com</a>><br>
> Subject: Re: [gradsusr] Convert monthly to yearly accumulated rainfall<br>
> To: GrADS Users Forum <<a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a>><br>
> Message-ID:<br>
> <CAPFxStgNLcjM=4girADmnhMXVH+S-bo6=<a href="mailto:hzzRQxHJrrN6-%2BCTw@mail.gmail.com">hzzRQxHJrrN6-+CTw@mail.gmail.com</a><br>
> ><br>
> Content-Type: text/plain; charset="iso-8859-1"<br>
><br>
> Dear Chris,<br>
><br>
> I do not know if one can do it directly while having the 50 time steps but<br>
> what I can say is that you can process for every year (then you'll have 50<br>
> outputs), then assign time for every year, then merge using cdo all 50<br>
> years<br>
> into one single file.<br>
><br>
> Hope this can help,<br>
><br>
> Serge<br>
><br>
> On Sat, Sep 17, 2011 at 3:34 AM, Alauda arvensis <<a href="mailto:a.arvensis@gmail.com">a.arvensis@gmail.com</a><br>
> >wrote:<br>
><br>
> > Dear GrADS users,<br>
> ><br>
> > My data consists of 50 years of monthly rainfall. I want to convert this<br>
> > data into yearly accumulated rainfall for every year. So I am looking for<br>
> > something like:<br>
> ><br>
> > 'pyearly = sum(pmonthly, t=1, t=12)' ... but I need it for every year, so<br>
> > that in the end I have 50 time steps.<br>
> ><br>
> > Any hints welcome! Thanks!<br>
> ><br>
> > Kind regards,<br>
> > Chris<br>
> ><br>
> > PS: I already tried "<a href="http://mon2yr.gs" target="_blank">mon2yr.gs</a>" from Bin Guan's page, but something does<br>
> > not appear to work.<br>
> ><br>
> > _______________________________________________<br>
> > gradsusr mailing list<br>
> > <a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a><br>
> > <a href="http://gradsusr.org/mailman/listinfo/gradsusr" target="_blank">http://gradsusr.org/mailman/listinfo/gradsusr</a><br>
> ><br>
> ><br>
><br>
><br>
> --<br>
> Serge<br>
> -------------- next part --------------<br>
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><br>
> ------------------------------<br>
><br>
> Message: 3<br>
> Date: Sat, 17 Sep 2011 12:23:40 +0000 (UTC)<br>
> From: Rajeevan K via LinkedIn <<a href="mailto:member@linkedin.com">member@linkedin.com</a>><br>
> Subject: [gradsusr] Invitation to connect on LinkedIn<br>
> To: Ning Cao <<a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a>><br>
> Message-ID:<br>
> <786703422.8558443.1316262220088.JavaMail.app@ela4-app0131.prod><br>
> Content-Type: text/plain; charset="utf-8"<br>
><br>
> LinkedIn<br>
> ------------<br>
><br>
><br>
><br>
><br>
> Rajeevan K requested to add you as a connection on LinkedIn:<br>
><br>
> ------------------------------------------<br>
><br>
> Ning,<br>
><br>
> I'd like to add you to my professional network on LinkedIn.<br>
><br>
> - Rajeevan<br>
><br>
> Accept invitation from Rajeevan K<br>
><br>
> <a href="http://www.linkedin.com/e/ofpc7q-gsokjh2t-51/X_QvJ7UefcfFkLAYwdQqLHU00gfkGZ-5LN/blk/I161349014_13/1BpC5vrmRLoRZcjkkZt5YCpnlOt3RApnhMpmdzgmhxrSNBszYPclYQcj0Vd3cNdz59bT1imBhDqDB3bP8Sd3sRdPoQczgLrCBxbOYWrSlI/EML_comm_afe/?hs=false&tok=3cpy5iTqgDLAU1" target="_blank">http://www.linkedin.com/e/ofpc7q-gsokjh2t-51/X_QvJ7UefcfFkLAYwdQqLHU00gfkGZ-5LN/blk/I161349014_13/1BpC5vrmRLoRZcjkkZt5YCpnlOt3RApnhMpmdzgmhxrSNBszYPclYQcj0Vd3cNdz59bT1imBhDqDB3bP8Sd3sRdPoQczgLrCBxbOYWrSlI/EML_comm_afe/?hs=false&tok=3cpy5iTqgDLAU1</a><br>
><br>
> View invitation from Rajeevan K<br>
><br>
> <a href="http://www.linkedin.com/e/ofpc7q-gsokjh2t-51/X_QvJ7UefcfFkLAYwdQqLHU00gfkGZ-5LN/blk/I161349014_13/3cNnPgNc3AQcP4SckALqnpPbOYWrSlI/svi/?hs=false&tok=27OH6j0pIDLAU1" target="_blank">http://www.linkedin.com/e/ofpc7q-gsokjh2t-51/X_QvJ7UefcfFkLAYwdQqLHU00gfkGZ-5LN/blk/I161349014_13/3cNnPgNc3AQcP4SckALqnpPbOYWrSlI/svi/?hs=false&tok=27OH6j0pIDLAU1</a><br>
><br>
><br>
> --<br>
> (c) 2011, LinkedIn Corporation<br>
> -------------- next part --------------<br>
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><br>
> ------------------------------<br>
><br>
> Message: 4<br>
> Date: Sat, 17 Sep 2011 09:54:51 -0400<br>
> From: Arlindo da Silva <<a href="mailto:dasilva@alum.mit.edu">dasilva@alum.mit.edu</a>><br>
> Subject: Re: [gradsusr] lats4d and re<br>
> To: GrADS Users Forum <<a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a>><br>
> Message-ID:<br>
> <CALz7xZfF+=6FEJbFc_zi1t4WAPHUXwRe0RUYwVPc=<a href="mailto:qPiVnbuUw@mail.gmail.com">qPiVnbuUw@mail.gmail.com</a><br>
> ><br>
> Content-Type: text/plain; charset="iso-8859-1"<br>
><br>
> On Fri, Sep 16, 2011 at 5:20 PM, Coly SAR <<a href="mailto:colysar@gmail.com">colysar@gmail.com</a>> wrote:<br>
><br>
> > I have a 3D nc file with 6 variables and I want to regrid it to 0.5?<br>
> using<br>
> > lats4d.<br>
> > I issued this command below but the file created remains the same as<br>
> infile<br>
> > and no regrid done.<br>
> ><br>
> ><br>
> ><br>
> > >lats4d -i <a href="http://runet.nc" target="_blank">runet.nc</a> -o test_05 -lon -38.5 29 -lat -10.5 25 -func<br>
> re(@,0.5)<br>
> ><br>
> > I am using opengrad v 2.9 and need any suggestion on how to do this<br>
> regrid.<br>
> ><br>
> ><br>
> Type "lats4d -h" and read the section on regridding. Unless you use one of<br>
> the predefined resolutions you will need to create (or point to one)<br>
> dimension environment file (option -de).<br>
><br>
> Arlindo<br>
><br>
><br>
><br>
> --<br>
> Arlindo da Silva<br>
> <a href="mailto:dasilva@alum.mit.edu">dasilva@alum.mit.edu</a><br>
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><br>
> ------------------------------<br>
><br>
> Message: 5<br>
> Date: Sat, 17 Sep 2011 10:12:57 -0400<br>
> From: Arlindo da Silva <<a href="mailto:dasilva@alum.mit.edu">dasilva@alum.mit.edu</a>><br>
> Subject: Re: [gradsusr] Moisture flux convergence/divergence<br>
> To: GrADS Users Forum <<a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a>><br>
> Message-ID:<br>
> <<a href="mailto:CALz7xZf5MaHEvP1bX1Z93ysYNg5xVCGOvBdBaM5aHTkEs6%2BHSw@mail.gmail.com">CALz7xZf5MaHEvP1bX1Z93ysYNg5xVCGOvBdBaM5aHTkEs6+HSw@mail.gmail.com</a><br>
> ><br>
> Content-Type: text/plain; charset="iso-8859-1"<br>
><br>
> 2011/9/16 Hyacinth Nnamchi <<a href="mailto:hyacinth.1@hotmail.com">hyacinth.1@hotmail.com</a>><br>
><br>
> > Jeff,<br>
> ><br>
> > I seems my question wasn't well framed, and so you dealt with the typo. I<br>
> > have attached two Figs showing what the calculations below will give and<br>
> > what exactly I'll like to do.<br>
> ><br>
> ><br>
> >From the attached plot it appears that you want to plot the divergent<br>
> component of the mass flux, as given by the Helmholtz decomposition:<br>
><br>
> <a href="http://en.wikipedia.org/wiki/Helmholtz_decomposition" target="_blank">http://en.wikipedia.org/wiki/Helmholtz_decomposition</a><br>
><br>
> The first step is to compute the velocity potential<br>
><br>
> ga-> chi = fish_chi(zon,mer)<br>
><br>
> (As Roger mentions, make sure to average in the vertical first if this is<br>
> what you want.) Next, the divergent component of the mass flux is related<br>
> to<br>
> the gradient of chi; see this for more information:<br>
><br>
> Calculating the Divergent<br>
> Wind<<br>
> <a href="http://opengrads.org/doc/udxt/fish/fish.html#calculating_the_divergent_wind" target="_blank">http://opengrads.org/doc/udxt/fish/fish.html#calculating_the_divergent_wind</a><br>
> ><br>
><br>
> Notice that you will need an opengrads build in order to use the fish<br>
> extension; more info here:<br>
><br>
><br>
> <a href="http://opengrads.org/wiki/index.php?title=Installing_the_OpenGrADS_Bundle" target="_blank">http://opengrads.org/wiki/index.php?title=Installing_the_OpenGrADS_Bundle</a><br>
><br>
> Good luck,<br>
><br>
> Arlindo<br>
><br>
><br>
><br>
><br>
><br>
><br>
> > Thanks,<br>
> ><br>
> > Hyacinth<br>
> ><br>
> ><br>
> > > Date: Thu, 15 Sep 2011 17:34:50 -0500><br>
> > From: Jeffrey Duda <<a href="mailto:jdduda@iastate.edu">jdduda@iastate.edu</a>>><br>
> > Subject: Re: [gradsusr] Moisture flux convergence/divergence<br>
> > > To: GrADS Users Forum <<a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a>><br>
> > > Message-ID:<br>
> > > <CAP9LQ-VNkxcu-+ey_QkZU7f4MHf+VwJDvav=<a href="mailto:Dci3ns%2Bx%2BpjG8Q@mail.gmail.com">Dci3ns+x+pjG8Q@mail.gmail.com</a>><br>
> > > Content-Type: text/plain; charset="iso-8859-1"<br>
> ><br>
> > ><br>
> > > Set the graphics output to vector ('set gxout vector'), then 'd<br>
> zon;mer'<br>
> > > (note the semicolon instead of a comma).<br>
> > ><br>
> > > Jeff Duda<br>
> > ><br>
> > > 2011/9/15 Hyacinth Nnamchi <<a href="mailto:hyacinth.1@hotmail.com">hyacinth.1@hotmail.com</a>><br>
> > ><br>
> > > > Hello,<br>
> > > ><br>
> > > > This is not directly about GrADS but since most of address similar!<br>
> > > > problems, I guess someone on this forum will be able to answer my<br>
> > question.<br>
> > > ><br>
> > > > I understand that to calculate moisture transport, given zonal,<br>
> > meridional<br>
> > > > winds and specific humidity, can simply do:<br>
> > > ><br>
> > > > 'define zon=uwnd.1*shum.3'<br>
> > > > 'define mer=vwnd.2*shum.3'<br>
> > > > 'd zon,mer'<br>
> > > ><br>
> > > > But, I want to plot vectors indicating field of net moisture flux<br>
> (all<br>
> > arrows converging/diverging) instead of just transport.<br>
> > > ><br>
> > > > Thanks for any ideas.<br>
> > > ><br>
> > > > Hyacinth<br>
> > > ><br>
> > > ><br>
> > > > __<br>
> ><br>
> > _______________________________________________<br>
> > gradsusr mailing list<br>
> > <a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a><br>
> > <a href="http://gradsusr.org/mailman/listinfo/gradsusr" target="_blank">http://gradsusr.org/mailman/listinfo/gradsusr</a><br>
> ><br>
> ><br>
><br>
><br>
> --<br>
> Arlindo da Silva<br>
> <a href="mailto:dasilva@alum.mit.edu">dasilva@alum.mit.edu</a><br>
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> ------------------------------<br>
><br>
> Message: 6<br>
> Date: Sun, 18 Sep 2011 21:39:04 +0300<br>
> From: Mubashar Dogar <<a href="mailto:mubashardogar@gmail.com">mubashardogar@gmail.com</a>><br>
> Subject: [gradsusr] Problem with GrADS in reading ECMWF synoptic<br>
> monthly means data<br>
> To: <a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a><br>
> Message-ID:<br>
> <<a href="mailto:CAHBht237iOnGUtkYuZL6%2BrXEtm-KSgsti2W1anm6-BY7SkAU2Q@mail.gmail.com">CAHBht237iOnGUtkYuZL6+rXEtm-KSgsti2W1anm6-BY7SkAU2Q@mail.gmail.com</a><br>
> ><br>
> Content-Type: text/plain; charset="iso-8859-1"<br>
><br>
> Dear GrADS users,<br>
><br>
> I am facing a problem with time steps of a netcdf file downloaded for<br>
> synoptic monthly means of ECMWF ERA-INTERIM forecast product for the year<br>
> 1989 (downloaded for surface total precipitation for all time steps<br>
> available from: <a href="http://data-portal.ecmwf.int/data/d/interim_mnth/" target="_blank">http://data-portal.ecmwf.int/data/d/interim_mnth/</a>). This<br>
> file is basically synoptic monthly means generated by long term average of<br>
> corresponding 3 hour in all the days of a month, giving 8 time steps in a<br>
> month. So instead of reading 96 values that represents to 12 months (8<br>
> values in each months) GrADS read all these values by considering 8 time<br>
> steps in a day instead in a month. I mean GrADS reads these hours in a<br>
> daily<br>
> format instead of monthly. Does GrADS not deal with synoptic monthly means?<br>
> I have grib file as well for the same data, what should be time increment<br>
> in<br>
> a ctl file to open the same grib file?<br>
><br>
><br>
> Mubashar Dogar<br>
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> ------------------------------<br>
><br>
> Message: 7<br>
> Date: Sun, 18 Sep 2011 15:47:24 -0400<br>
> From: Jennifer Adams <<a href="mailto:jma@cola.iges.org">jma@cola.iges.org</a>><br>
> Subject: Re: [gradsusr] Problem with GrADS in reading ECMWF synoptic<br>
> monthly means data<br>
> To: GrADS Users Forum <<a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a>><br>
> Message-ID: <<a href="mailto:93628EC9-0E8F-4EE1-9D80-0147B93D7F6A@cola.iges.org">93628EC9-0E8F-4EE1-9D80-0147B93D7F6A@cola.iges.org</a>><br>
> Content-Type: text/plain; charset="us-ascii"<br>
><br>
> Please send the output from ncdump -c on your netcdf file. --Jennifer<br>
><br>
> On Sep 18, 2011, at 2:39 PM, Mubashar Dogar wrote:<br>
><br>
> ><br>
> > Dear GrADS users,<br>
> ><br>
> > I am facing a problem with time steps of a netcdf file downloaded<br>
> > for synoptic monthly means of ECMWF ERA-INTERIM forecast product for<br>
> > the year 1989 (downloaded for surface total precipitation for all<br>
> > time steps available from:<br>
> <a href="http://data-portal.ecmwf.int/data/d/interim_mnth/" target="_blank">http://data-portal.ecmwf.int/data/d/interim_mnth/</a>)<br>
> > . This file is basically synoptic monthly means generated by long<br>
> > term average of corresponding 3 hour in all the days of a month,<br>
> > giving 8 time steps in a month. So instead of reading 96 values that<br>
> > represents to 12 months (8 values in each months) GrADS read all<br>
> > these values by considering 8 time steps in a day instead in a<br>
> > month. I mean GrADS reads these hours in a daily format instead of<br>
> > monthly. Does GrADS not deal with synoptic monthly means? I have<br>
> > grib file as well for the same data, what should be time increment<br>
> > in a ctl file to open the same grib file?<br>
> ><br>
> ><br>
> > Mubashar Dogar<br>
> ><br>
> ><br>
> > _______________________________________________<br>
> > gradsusr mailing list<br>
> > <a href="mailto:gradsusr@gradsusr.org">gradsusr@gradsusr.org</a><br>
> > <a href="http://gradsusr.org/mailman/listinfo/gradsusr" target="_blank">http://gradsusr.org/mailman/listinfo/gradsusr</a><br>
><br>
> --<br>
> Jennifer M. Adams<br>
> IGES/COLA<br>
> 4041 Powder Mill Road, Suite 302<br>
> Calverton, MD 20705<br>
> <a href="mailto:jma@cola.iges.org">jma@cola.iges.org</a><br>
><br>
><br>
><br>
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End of gradsusr Digest, Vol 19, Issue 40<br>
****************************************<br>
</blockquote></div><br><br clear="all"><br>-- <br>Muhammad Mubashar Ahmad Dogar<br>Scientific Officer (Climatology Section),<br>Global Change Impact Studies Centre (GCISC),<br>NCP complex, Quaid-e-Azam University Campus,<br>
Shahdra road, Islamabad, Pakistan.<br>Tel: +92519230226<br>Mob:+923315144169<br>email: <a href="mailto:mubashardogar@yahoo.com">mubashardogar@yahoo.com</a><br> <a href="mailto:mubashar.ahmad@gcisc.org.pk">mubashar.ahmad@gcisc.org.pk</a><br>
</div>