cloudprod [ parameter=value ] [ inputfile outputfile ] cloudprod [ parameter=value ] [ inputfile ... directory ]
cloudprod2 [ parameter=value ] [ inputfile outputfile ] cloudprod2 [ parameter=value ] [ inputfile ... directory ]Parameters are: variables, cloud_threshold, cloudfile_name, cloudmask_name, climatology, temprof_set, geoprof_set, temprof_var, geoprof_var, pressprof_var, cloud_top, cloud_pressure, cloud_temp, cloud_level, cloud_ppt, mask_level_top, cloud_ref, vapor_height, vapor_pressure, pressure_levels, feet_units, sounder_data, ppt_varname, cirrus_clouds,
Input datasets have the following requirements:
cloudprod, cloudprod2 output variables are:
| cloud_top: |
A variable containing cloud-top altitudes (m or feet), with upper-level/cirrus temperatureadjustments applied (see cirrus_clouds). |
| cloud_pressure: |
A variable containing cloud-top pressures (mbar). |
| cloud_temp: |
A variable containing cloud-top temperatures (input temp. units). |
| cloud_level: |
A variable specifying cloud-types according to altitude levels, as defined by pressure_levels. |
| wv_height: | A variable with estimated heights for associated water-vapor channel data (m or feet). |
| wv_pressure: | A
variable with estimated pressures for associated water-vapor
channel data (mbar).
|
| cloud_topx: |
Variables containing masked cloud-top altitudes for cloud level x (m or feet). |
| cloud_ppt: |
A variable containing cloud precipitable water content (AVHRR only) (mm). |
| clear_ppt: |
A variable containing clear precipitable water content (GMS only) (mm). |
| cloud_reff: |
A variable containing cloud effective radius values (mean particle size, microns) (AVHRR or GVAR only). cloud_reff provides microphysical property information for clouds, based on an algorithm developed by Rosenfeld and Gutmann. |
cloudprod, cloudprod2 output datasets contain any combination
of variables cloud_top, cloud_pressure, cloud_temp,
cloud_level, cloud_topx,
clear_ppt or cloud_ppt, cloud_reff, wv_height,
wv_pressure.
cloud_top, cloud_pressure, cloud_temp, wv_height, and wv_pressure are calculated from geopotential height profiles, as provided by a global climatology (such as the NCEP/NCAR Reanalysis-derived climatology provided with TeraScan, on a 73x144 global grid) or a forecast model, which relate altitude, pressure and temperature monthly mean values on a global grid. (The NCEP/NCAR Reanalysis-derived global climatology is provided by datasets $REFDATA/climate/geopclim.tdf and $REFDATA/climate/tempclim.tdf.)
A cloud_level type is determined based on cloud-top pressure thresholds for several levels of clouds, specified with parameter pressure_levels. Cloud-type values are cloud_level=0 below lowest pressure_levels value, cloud_level=1 between lowest and second lowest pressure_levels, etc.
wv_height, wv_pressure are derived similarly to cloud_top, cloud_pressure, within the valid altitude range of the water-vapor channel weighting function, as per Stewart, et al.
The first example demonstrates using cloudprod, with selection
of five out of the possible seven output product categories.
% cloudprod
in/out files : char(255) ? ../../meteoprod/img.1998092106.cal.reg ./img.1998092106.cal.reg.cloudprod
cloudfile_name : char(255) ? [] ../../meteoprod/img.1998092106.cloudmask.reg
cloudmask_name : char(255) ? [cloud]
climatology : char( 3) ? [yes]
temprof_set : char(255) ? [] ../../meteoprod/tempmodel.1998092106
geoprof_set : char(255) ? [] ../../meteoprod/geopmodel.1998092106
temprof_var : char(255) ? [] temperature
geoprof_var : char(255) ? [] geop_height
pressprof_var : char(255) ? [] pressure
cloud_top : char( 3) ? [no] y
cloud_pressure : char( 3) ? [no] y
cloud_temp : char( 3) ? [no] y
cloud_level : char( 3) ? [no] y
cloud_ppt : char( 3) ? [no] n
cloud_reff : char( 3) ? [no] n
mask_level_top : char( 3) ? [no] y
pressure_levels : int (100) ? [400 500 600 700] 300 400 450 500 550 600 650 700 800 900
Generating cloudproducts for ../../meteoprod/img.1998092106.cal.reg
processing line 50...
processing line 100...
processing line 150...
processing line 200...
processing line 250...
processing line 300...
processing line 350...
processing line 400...
processing line 450...
processing line 500...
processing line 550...
./img.1998092106.cal.reg.cloudprod: Completed
% contents ./img.1998092106.cal.reg.cloudprod
printout : char( 3) ? [no]
Contents of File: ./img.1998092106.cal.reg.cloudprod Page 1
Dimension Size Coord Scale Offset Variable
prodYdim 586 y 1 0
prodXdim 800 x 1 0
Attribute Type Units Value
projection long 2
et_affine double -0.175462 0 0 0.175462 293.5 400.5
satellite string12 gms-5
sensor long std_sensor svissr
pass_date long std_date 1998/09/21
start_time double std_time 05:31:00
time_adjust double std_time 00:00:00
attitude double radians 0 0 0
sensor_tilt double radians 0
scan_samples long 2291
scan_rates double 1.65342 74205.2 0
miss_algn_mat double 0.999999 0.000241148 0.00102046 -0.000242566 0.999999 0.00139035 -0.00102012
-0.00139059 0.999999
use_orbele long boolean 0
step_line_ang double radians 0.00014
step_samp_ang double radians 0.00014
center_line double 1384
center_samp double 1146
interp_points long 8
scan_time double seconds -59.9996 240 540 840 1140 1440 1740 2040
x_pos double meters -3.13906e+07 -3.07672e+07 -3.01291e+07 -2.94766e+07 -2.88101e+07 -2.81297e+07
-2.74359e+07 -2.67289e+07
y_pos double meters -2.81568e+07 -2.88366e+07 -2.95025e+07 -3.01544e+07 -3.07918e+07 -3.14145e+07
-3.20222e+07 -3.26145e+07
z_pos double meters -50226.4 -56610 -62966.6 -69292.9 -75586.1 -81843.1 -88060.9 -94236.5
x_head double -0.00191429 -0.00191429 -0.0019143 -0.00191431 -0.00191432 -0.00191432
-0.00191433 -0.00191434
y_head double 0.00670305 0.00670287 0.00670269 0.00670251 0.00670233 0.00670215 0.00670197
0.00670179
z_head double -0.999976 -0.999976 -0.999976 -0.999976 -0.999976 -0.999976 -0.999976
-0.999976
sensor_tilt_arr double radians -1.56894 -1.56895 -1.56897 -1.56898 -1.569 -1.56902 -1.56904 -1.56906
sensor_twist double radians 3.14159 3.14159 3.14159 3.14159 3.14159 3.14159 3.14159 3.14159
satellite_roll double radians 0 0 0 0 0 0 0 0
satellite_pitch double radians 0 0 0 0 0 0 0 0
satellite_yaw double radians 0 0 0 0 0 0 0 0
nutation_mat double 0.99993 0.99993 0.99993 0.99993 0.99993 0.99993 0.99993 0.99993 -0.0108508
-0.0108508 -0.0108508 -0.0108508 -0.0108508 -0.0108508 -0.0108508 -0.0108508
-0.00471655 -0.00471655 -0.00471655 -0.00471655 -0.00471655 -0.00471655
-0.00471655 -0.00471655 0.010851 0.010851 0.010851 0.010851 0.010851 0.010851
0.010851 0.010851 0.999941 0.999941 0.999941 0.999941 0.999941 0.999941
0.999941 0.999941 1.00139e-05 1.00138e-05 1.00137e-05 1.00137e-05 1.00136e-05
1.00135e-05 1.00134e-05 1.00134e-05 0.00471617 0.00471617 0.00471617
0.00471617 0.00471617 0.00471617 0.00471617 0.00471617 -6.11926e-05
-6.11925e-05 -6.11924e-05 -6.11923e-05 -6.11923e-05 -6.11922e-05 -6.11921e-05
-6.11921e-05 0.999989 0.999989 0.999989 0.999989 0.999989 0.999989 0.999989
0.999989
center_lat double std_latitude 35 0.00 N
center_lon double std_longitude 125 0.00 E
map_angle double radians 0
proj_param double std_latitude 0 0.00 N
equator_radius double km 6378.14
flattening double 0.00335281
pressure_levels long 900 800 700 650 600 550 500 450 400 300
projection_name string16 rectangular
history byte
Variable Type Units
cloud_top long m
cloud_top0 long m
cloud_top1 long m
cloud_top2 long m
cloud_top3 long m
cloud_top4 long m
cloud_top5 long m
cloud_top6 long m
cloud_top7 long m
cloud_top8 long m
cloud_top9 long m
cloud_top10 long m
cloud_pressure long mb
cloud_temp long celsius
cloud_level long
Variable Dimension Size
cloud_top prodYdim 586
cloud_top prodXdim 800
cloud_top0 prodYdim 586
cloud_top0 prodXdim 800
cloud_top1 prodYdim 586
cloud_top1 prodXdim 800
cloud_top2 prodYdim 586
cloud_top2 prodXdim 800
cloud_top3 prodYdim 586
cloud_top3 prodXdim 800
cloud_top4 prodYdim 586
cloud_top4 prodXdim 800
cloud_top5 prodYdim 586
cloud_top5 prodXdim 800
cloud_top6 prodYdim 586
cloud_top6 prodXdim 800
cloud_top7 prodYdim 586
cloud_top7 prodXdim 800
cloud_top8 prodYdim 586
cloud_top8 prodXdim 800
cloud_top9 prodYdim 586
cloud_top9 prodXdim 800
cloud_top10 prodYdim 586
cloud_top10 prodXdim 800
cloud_pressure prodYdim 586
cloud_pressure prodXdim 800
cloud_temp prodYdim 586
cloud_temp prodXdim 800
cloud_level prodYdim 586
cloud_level prodXdim 800
Variable BadValue ValidMin ValidMax Scale Offset
cloud_top -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top0 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top1 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top2 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top3 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top4 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top5 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top6 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top7 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top8 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top9 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_top10 -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_pressure -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_temp -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
cloud_level -2.1475e+09 -2.1475e+09 2.1475e+09 1 0
%
The second example demonstrates using cloudprod2, with specification
of the alternate split window IR channel avhrr_ch5
for brightness temperature inputs.
% cloudprod2in/out files : char(255) ? testdata0 testdata0.cloudprodvis_varname : char(255) ? []ir1_varname : char(255) ? []wv_varname : char(255) ? []ir2_varname : char(255) ? [] avhrr_ch5cloudfile_name : char(255) ? []cloudmask_name : char(255) ? [cloud]climatology : char( 3) ? [yes]cloud_top : char( 3) ? [no] ycloud_pressure : char( 3) ? [no] ycloud_temp : char( 3) ? [no] ycloud_level : char( 3) ? [no] ycloud_ppt : char( 3) ? [no]cloud_reff : char( 3) ? [no]mask_level_top : char( 3) ? [no]pressure_levels: int (100) ? [400 500 600 700]testdata0: Using IR2 channel for cloudtop temperaturesGenerating cloudproducts for testdata0processing line 50...processing line 100...processing line 150...processing line 200...processing line 250...processing line 300...processing line 350...processing line 400...processing line 450...testdata0.cloudprod: Completed%
Rosenfeld D. and Gutmann G., 1994, Retrieving microphysical properties near the tops of potential rain clouds by multispectral analysis of AVHRR data, J. Atmos. Res., 34, 259-283.
Stewart,T.R., C.M.Hayden, W.L.Smith, 1985, A Note on Water-vapor Wind Tracking Using VAS Data on McIdas, Bull. Am. Meteor. Soc., 66, 1111-1115.
Last Update: $Date: 2000/12/12 00:58:00 $