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3 | <meta content="text/html; charset=windows-1252" http-equiv="CONTENT-TYPE"><title>PALM chapter 4.5.1</title> <meta content="StarOffice 7 (Win32)" name="GENERATOR"> <meta content="Siegfried Raasch" name="AUTHOR"> <meta content="20041022;12155949" name="CREATED"> <meta content="20041117;11232134" name="CHANGED"> <meta content="parallel LES model" name="KEYWORDS"> <style> |
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8 | <body style="direction: ltr;" lang="en-US"><h4 style="line-height: 100%;"><font size="4">4.5.1 |
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9 | NetCDF data output <span style="color: rgb(255, 0, 0);"></span></font></h4> |
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10 | <p style="line-height: 100%;">The standard data output of |
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11 | PALM is NetCDF (<span style="font-weight: bold;">Net</span>work |
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12 | <span style="font-weight: bold;">C</span>ommon <span style="font-weight: bold;">D</span>ata <span style="font-weight: bold;">F</span>orm). NetCDF is an |
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13 | interface to a library of data access functions<br>for |
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14 | storing and retrieving data in the form of arrays. NetCDF is an |
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15 | abstraction that supports a view of data as a collection of |
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16 | self-describing, <span style="font-weight: bold;">portable</span> |
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17 | objects that can be accessed through a simple interface (protable means |
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18 | that NetCDF data files can be read on any machine regardless of where they |
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19 | have been created). Array values may be accessed directly, without |
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20 | knowing details of how the data are stored. Auxiliary information about |
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21 | the data, such as what units are used, may be stored with the data. |
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22 | Generic utilities and application programs can access NetCDF datasets |
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23 | (files) and transform, combine, analyze, or display specified fields of |
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24 | the data, e.g. the contents of a NetCDF dataset can be viewed using the |
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25 | command <span style="font-family: monospace;">ncdump</span> |
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26 | (see <a href="#ncdump">further below</a>). |
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27 | Many (public domain) graphic software has built in interfaces to read |
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28 | NetCDF datasets (e.g. <span style="font-weight: bold;">ferret</span> or <span style="font-weight: bold;">NCL</span>). The complete NetCDF documentation |
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29 | is available from the <a href="http://www.unidata.ucar.edu/packages/netcdf/docs.html">NetCDF |
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30 | homepage</a>. The NetCDF tutorial for FORTRAN90 can also be found |
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31 | on <a href="http://www.muk.uni-hannover.de/%7Eraasch/PALM_group/manual/netcdf/netcdf-3_f90_tutorial.pdf">our |
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32 | web server</a>.</p><p style="line-height: 100%;">The |
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33 | output format of PALM data is determined by the runtime-parameter <a href="chapter_4.2.html#data_output_format">data_output_format</a> |
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34 | (<span style="font-weight: bold;">data_output_format</span> |
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35 | = <span style="font-style: italic;">'netcdf'</span>, |
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36 | by default). For historical reasons, some alternative formats can be |
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37 | selected (see <a href="chapter_4.2.html#data_output_format">data_output_format</a>). |
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38 | The accuracy of the NetCDF output data can be set with parameter <a href="chapter_4.1.html#netcdf_precision">netcdf_precision</a>. |
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39 | By default, data have single (4 byte) precision. Also by default, |
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40 | NetCDF datasets (files) are not allowed to be larger than 2 GByte. |
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41 | Larger datasets can be created by setting <a href="chapter_4.2.html#netcdf_64bit">netcdf_64bit</a> |
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42 | = <span style="font-style: italic;">.TRUE.</span>. |
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43 | These files then have the so-called 64bit-offset format. However, |
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44 | currently, many of the existing application programs may not support |
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45 | this 64-bit offset format.<br></p>PALM allows the output of |
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46 | various |
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47 | data (e.g. cross sections, vertical profiles, timeseries, etc.) into |
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48 | different files. The following table gives an overview about the |
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49 | different kind of NetCDF output data offered by PALM. Beside the local |
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50 | names of the files, the table also lists the minimum parameter settings which |
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51 | are necessary to switch on the output, as well as the parameters to be |
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52 | used to control the output.<br><br><table style="text-align: left; width: 750px; height: 226px;" border="1" cellpadding="2" cellspacing="2"><tbody><tr><td align="left" valign="top"><span style="font-weight: bold;">kind of data</span></td><td align="left" valign="top"><span style="font-weight: bold;">local filename</span></td><td align="left" valign="top"><span style="font-weight: bold;">parameter settings necessary to |
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53 | switch on output</span></td><td align="left" valign="top"><span style="font-weight: bold;">further |
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54 | parameters for output control</span></td></tr><tr><td align="left" valign="top">vertical profiles</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_1D_PR_NETCDF">DATA_1D_PR_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output_pr">data_output_pr</a>, |
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55 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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56 | (or <a href="chapter_4.2.html#dt_dopr">dt_dopr</a>)</td><td align="left" valign="top"><a href="chapter_4.2.html#averaging_interval">averaging_interval</a>, |
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57 | (or <a href="chapter_4.2.html#averaging_interval_pr">averaging_interval_pr</a>), |
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58 | <a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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59 | <a href="chapter_4.2.html#dt_averaging_input">dt_averaging_input</a>, |
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60 | <a href="chapter_4.2.html#dt_averaging_input_pr">dt_averaging_input_pr</a>, |
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61 | <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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62 | (or <a href="chapter_4.2.html#skip_time_dopr">skip_time_dopr</a>), |
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63 | <a href="chapter_4.1.html#statistic_regions">statistic_regions</a></td></tr><tr><td align="left" valign="top">timeseries</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_1D_TS_NETCDF">DATA_1D_TS_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output_ts">data_output_ts</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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64 | <a href="chapter_4.2.html#dt_dots">dt_dots</a>, <a href="chapter_4.1.html#statistic_regions">statistic_regions</a></td></tr><tr><td align="left" valign="top">spectra</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_1D_SP_NETCDF">DATA_1D_SP_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#comp_spectra_level">comp_spectra_level</a>, |
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65 | <a href="chapter_4.2.html#data_output_sp">data_output_sp</a>, |
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66 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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67 | (or <a href="chapter_4.2.html#dt_dosp">dt_dosp</a>), |
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68 | <a href="chapter_4.2.html#spectra_direction">spectra_direction</a></td><td align="left" valign="top"><a href="chapter_4.2.html#averaging_interval">averaging_interval</a> (or |
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69 | <a href="chapter_4.2.html#averaging_interval_sp">averaging_interval_sp</a>), |
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70 | <a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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71 | <a href="chapter_4.2.html#dt_averaging_input_pr">dt_averaging_input_pr</a>, |
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72 | <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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73 | (or <a href="chapter_4.2.html#skip_time_dosp">skip_time_dosp)</a></td></tr><tr><td align="left" valign="top">2d cross section (xy)</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_2D_XY_NETCDF">DATA_2D_XY_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output">data_output</a> |
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74 | (or <a href="chapter_4.3.html#data_output_user">data_output_user</a>), |
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75 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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76 | (or <a href="chapter_4.2.html#dt_do2d_xy">dt_do2d_xy</a>), |
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77 | <a href="chapter_4.2.html#section_xy">section_xy</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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78 | <a href="chapter_4.2.html#data_output_2d_on_each_pe">data_output_2d_on_each_pe</a>, |
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79 | <a href="chapter_4.2.html#do2d_at_begin">do2d_at_begin</a>, |
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80 | <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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81 | (or <a href="chapter_4.2.html#skip_time_do2d_xy">skip_time_do2d_xy</a>)</td></tr><tr><td align="left" valign="top">2d cross section (xy), |
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82 | time-averaged</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_2D_XY_AV_NETCDF">DATA_2D_XY_AV_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output">data_output</a> |
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83 | (or <a href="chapter_4.3.html#data_output_user">data_output_user</a>), |
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84 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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85 | (or <a href="chapter_4.2.html#dt_data_output_av">dt_data_output_av</a> or |
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86 | <a href="chapter_4.2.html#dt_do2d_xy">dt_do2d_xy</a>), |
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87 | <a href="chapter_4.2.html#section_xy">section_xy</a></td><td align="left" valign="top"><a href="chapter_4.2.html#averaging_interval">averaging_interval</a>, |
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88 | <a href="chapter_4.2.html#dt_averaging_input">dt_averaging_input</a>, |
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89 | <a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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90 | <a href="chapter_4.2.html#data_output_2d_on_each_pe">data_output_2d_on_each_pe</a>, |
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91 | <a href="chapter_4.2.html#do2d_at_begin">do2d_at_begin</a>, |
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92 | <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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93 | (or <a href="chapter_4.2.html#skip_time_data_output_av">skip_time_data_output_av</a>, |
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94 | or <a href="chapter_4.2.html#skip_time_do2d_xy">skip_time_do2d_xy</a>)</td></tr><tr><td align="left" valign="top">2d cross section (xz)</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_2D_XZ_NETCDF">DATA_2D_XZ_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output">data_output</a> |
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95 | (or <a href="chapter_4.3.html#data_output_user">data_output_user</a>), |
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96 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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97 | (or <a href="chapter_4.2.html#dt_do2d_xz">dt_do2d_xz</a>), |
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98 | <a href="chapter_4.2.html#section_xz">section_xz</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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99 | <a href="chapter_4.2.html#data_output_2d_on_each_pe">data_output_2d_on_each_pe</a>, |
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100 | <a href="chapter_4.2.html#do2d_at_begin">do2d_at_begin</a>, |
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101 | <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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102 | (or <a href="chapter_4.2.html#skip_time_do2d_xz">skip_time_do2d_xz</a>)</td></tr><tr><td align="left" valign="top">2d cross section (xz), |
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103 | time-averaged</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_2D_XZ_AV_NETCDF">DATA_2D_XZ_AV_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output">data_output</a> |
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104 | (or <a href="chapter_4.3.html#data_output_user">data_output_user</a>), |
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105 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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106 | (or <a href="chapter_4.2.html#dt_data_output_av">dt_data_output_av</a> or |
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107 | <a href="chapter_4.2.html#dt_do2d_xz">dt_do2d_xz</a>), |
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108 | <a href="chapter_4.2.html#section_xz">section_xz</a></td><td align="left" valign="top"><a href="chapter_4.2.html#averaging_interval">averaging_interval</a>, |
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109 | <a href="chapter_4.2.html#dt_averaging_input">dt_averaging_input</a>, |
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110 | <a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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111 | <a href="chapter_4.2.html#data_output_2d_on_each_pe">data_output_2d_on_each_pe</a>, |
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112 | <a href="chapter_4.2.html#do2d_at_begin">do2d_at_begin</a>, |
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113 | <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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114 | (or <a href="chapter_4.2.html#skip_time_data_output_av">skip_time_data_output_av</a>, |
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115 | or <a href="chapter_4.2.html#skip_time_do2d_xz">skip_time_do2d_xz</a>)</td></tr><tr><td align="left" valign="top">2d cross section (yz)</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_2D_YZ_NETCDF">DATA_2D_YZ_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output">data_output</a> |
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116 | (or <a href="chapter_4.3.html#data_output_user">data_output_user</a>), |
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117 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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118 | (or <a href="chapter_4.2.html#dt_do2d_yz">dt_do2d_yz</a>), |
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119 | <a href="chapter_4.2.html#section_yz">section_yz</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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120 | <a href="chapter_4.2.html#data_output_2d_on_each_pe">data_output_2d_on_each_pe</a>, |
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121 | <a href="chapter_4.2.html#do2d_at_begin">do2d_at_begin</a>, |
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122 | <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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123 | (or <a href="chapter_4.2.html#skip_time_do2d_yz">skip_time_do2d_yz</a>)</td></tr><tr><td align="left" valign="top">2d cross section (yz), |
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124 | time-averaged</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_2D_YZ_AV_NETCDF">DATA_2D_YZ_AV_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output">data_output</a> |
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125 | (or <a href="chapter_4.3.html#data_output_user">data_output_user</a>), |
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126 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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127 | (or <a href="chapter_4.2.html#dt_data_output_av">dt_data_output_av</a> or |
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128 | <a href="chapter_4.2.html#dt_do2d_yz">dt_do2d_yz</a>), |
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129 | <a href="chapter_4.2.html#section_yz">section_yz</a></td><td align="left" valign="top"><a href="chapter_4.2.html#averaging_interval">averaging_interval</a>, |
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130 | <a href="chapter_4.2.html#dt_averaging_input">dt_averaging_input</a>, |
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131 | <a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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132 | <a href="chapter_4.2.html#data_output_2d_on_each_pe">data_output_2d_on_each_pe</a>, |
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133 | <a href="chapter_4.2.html#do2d_at_begin">do2d_at_begin</a>, |
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134 | <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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135 | (or <a href="chapter_4.2.html#skip_time_data_output_av">skip_time_data_output_av</a>, |
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136 | or <a href="chapter_4.2.html#skip_time_do2d_yz">skip_time_do2d_yz</a>)</td></tr><tr><td align="left" valign="top">3d volume</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_3D_NETCDF">DATA_3D_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output">data_output</a> |
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137 | (or <a href="chapter_4.3.html#data_output_user">data_output_user</a>), |
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138 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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139 | (or <a href="chapter_4.2.html#dt_do3d">dt_do3d</a>)</td><td align="left" valign="top"><a href="chapter_4.2.html#data_output_format">data_output_format</a>, |
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140 | <a href="chapter_4.2.html#do3d_at_begin">do3d_at_begin</a>, |
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141 | <a href="chapter_4.2.html#nz_do3d">nz_do3d</a>, <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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142 | (or <a href="chapter_4.2.html#skip_time_do3d">skip_time_do3d</a>)</td></tr><tr><td align="left" valign="top">3d volume, time-averaged</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_3D_AV_NETCDF">DATA_3D_AV_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#data_output">data_output</a> |
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143 | (or <a href="chapter_4.3.html#data_output_user">data_output_user</a>), |
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144 | <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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145 | (or <a href="chapter_4.2.html#dt_data_output_av">dt_data_output_av</a> or |
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146 | <a href="chapter_4.2.html#dt_do3d">dt_do3d</a>)</td><td align="left" valign="top"><a href="chapter_4.2.html#averaging_interval">averaging_interval</a>, |
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147 | <a href="chapter_4.2.html#dt_averaging_input">dt_averaging_input</a>, |
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148 | <a href="chapter_4.2.html#data_output_format">data_output_format</a>, <a href="chapter_4.2.html#do3d_at_begin">do3d_at_begin</a>, |
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149 | <a href="chapter_4.2.html#nz_do3d">nz_do3d</a>, <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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150 | (or <a href="chapter_4.2.html#skip_time_data_output_av">skip_time_data_output_av</a>, |
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151 | or <a href="chapter_4.2.html#skip_time_do3d">skip_time_do3d</a>)</td></tr><tr><td align="undefined" valign="undefined">particle timeseries</td><td style="vertical-align: top;"><a href="chapter_3.4.html#DATA_1D_PTS_NETCDF">DATA_1D_PTS_NETCDF</a></td><td style="vertical-align: top;"><a href="chapter_4.2.html#dt_data_output">dt_data_output</a> (or <a href="chapter_4.2.html#dt_dopts">dt_dopts</a>)</td><td align="undefined" valign="undefined"></td></tr><tr><td align="left" valign="top">particle attributes</td><td align="left" valign="top"><a href="chapter_3.4.html#DATA_PRT_NETCDF">DATA_PRT_NETCDF</a></td><td align="left" valign="top"><a href="chapter_4.2.html#dt_write_particle_data">dt_write_particle_data</a></td><td align="left" valign="top"></td></tr></tbody></table><br><br><span style="font-weight: bold;">Creating, contents and |
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152 | post-processing of a PALM NetCDF file</span><br><br>This |
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153 | section describes, step-by-step, the creation, storage, and |
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154 | post-processing of PALM NetCDF datasets considering the output of 2d |
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155 | horizontal (xy) cross sections as example. The parameter settings |
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156 | described below are those of the <a href="http://www.muk.uni-hannover.de/%7Eraasch/PALM_group/INSTALL/example_p3d">example |
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157 | parameter file</a> (see <a href="chapter_4.4.html">chapter |
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158 | 4.4</a>) so this parameter file can be used to retrace the |
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159 | following explanations.<br><br><ol><li>Output |
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160 | of xy cross |
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161 | sections requires to set at least three parameters: first, the temporal |
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162 | interval of the output time (run parameter <a href="chapter_4.2.html#dt_data_output">dt_data_output</a> |
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163 | or <a href="chapter_4.2.html#dt_do2d_xy"><u>dt_do2d_xy)</u></a><span style="text-decoration: none;">, second<span style="text-decoration: none;"></span>, |
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164 | the names of the quantities for which cross section output is wanted</span><span style="text-decoration: none;"><span style="text-decoration: none;"> (<a href="chapter_4.2.html#data_output">data_output</a></span></span>), |
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165 | and third, the position (height level given as gridpoint index) of the |
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166 | cross sections (<a href="chapter_4.2.html#section_xy">section_xy</a>). |
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167 | The string <span style="font-style: italic;">'_xy'</span> |
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168 | must be appended to the name strings assigned to <span style="font-weight: bold;">data_output</span> in |
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169 | either case. Output times |
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170 | cannot be defined |
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171 | directly but only via the output time interval, starting from the |
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172 | beginning of the initial 3d run (t=0, but no cross sections are |
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173 | written at the time t=0; exceptions see <a href="chapter_4.2.html#do2d_at_begin">do2d_at_begin</a>). |
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174 | As an exception, the first output time can be set independently with |
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175 | parameter <a href="chapter_4.2.html#skip_time_data_output">skip_time_data_output</a> |
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176 | (or <a href="chapter_4.2.html#skip_time_do2d_xy">skip_time_do2d_xy</a>).<br><br><span style="font-weight: bold;">Very important:</span><br>If |
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177 | no values have been assigned to <b>data_output</b> , <span style="font-weight: bold;">dt_data_output</span> (or <span style="font-weight: bold;">dt_do2d_xy</span>), and <b>section_xy</b>, |
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178 | or |
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179 | if the values given for <span style="font-weight: bold;">dt_data_output</span> |
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180 | (or <b>dt_do2d_xy</b>) or <span style="font-weight: bold;">skip_time_data_output</span> |
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181 | (or <span style="font-weight: bold;">skip_time_do2d_xy</span>) |
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182 | are |
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183 | larger than the simulated time (see <a href="chapter_4.1.html#end_time">end_time</a>), |
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184 | <b>then there will be no output!<br><br></b>For |
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185 | output of time-averaged data, the string <span style="font-style: italic;">'_av'</span> has to be |
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186 | additionally appended to the respective name string (see <a href="chapter_4.2.html#data_output">data_output</a>).<br><br><br></li><li> |
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187 | <p style="line-height: 100%;">Instantaneous data are output in NetCDF |
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188 | format |
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189 | into the |
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190 | local file <a href="chapter_3.4.html#DATA_2D_XY_NETCDF">DATA_2D_XY_NETCDF</a>. |
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191 | This file must be linked with a permanent file by |
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192 | using a file connection statement in the <b>mrun</b> |
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193 | configuration |
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194 | file (see e.g. <a href="chapter_3.2.html">chapter |
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195 | 3.2</a>). At the end of the run the local file is copied to this |
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196 | file. Such a statement can look like this:<br><br><span style="font-family: monospace;"> |
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197 | DATA_2D_XY_NETCDF out:loc:tr xy# |
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198 | ~/$fname/OUTPUT/$fname _xy nc .</span><br><br>If |
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199 | the respective <b>mrun</b> call is |
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200 | like<br><br><span style="font-family: monospace;"> |
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201 | mrun -d test -r “xy#” ... </span><br style="font-family: monospace;"><br>then the local |
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202 | file <tt><font style="font-size: 10pt;" size="2">DATA_2D_XY_NETCDF</font></tt> |
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203 | is copied to the permanent file <tt><font style="font-size: 10pt;" size="2">~/test/OUTPUT/test/test_xy.nc</font> |
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204 | </tt>. However, the character string <span style="font-family: mon; font-style: italic;">'</span><tt style="font-style: italic;"><font style="font-size: 10pt;" size="2">xy#</font></tt><span style="font-style: italic;">'</span> activating the |
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205 | file connection statement (see third column of the |
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206 | statement) must be given in the <b>mrun</b> call as |
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207 | argument of the |
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208 | option -r (and/or -o)<b>.</b> <span style="text-decoration: none;">If |
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209 | t</span>his is forgotten by mistake, the model outputs the data |
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210 | to |
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211 | the local file, but this is not copied to the permanent file and thus |
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212 | the data are not available for the user after the run has finished.<br><br>The |
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213 | last (6th) column of the file connection statement, which defines the |
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214 | additional file suffix, should be the string <span style="font-style: italic;">'nc'</span>, because many |
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215 | application programs expect NetCDF files to have the file extension <span style="font-style: italic;">'.nc'</span>. (This |
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216 | additional suffix given in the 6th column is always put at the very end of the filename, even |
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217 | in case of cycle numbers.)<br><br>Time averaged data are output into local file <a href="chapter_3.4.html#DATA_2D_XY_AV_NETCDF">DATA_2D_XY_AV_NETCDF</a> which requires an additional file connection statement<br><br><span style="font-family: monospace;"> DATA_2D_XY_AV_NETCDF out:loc:tr xy# ~/$fname/OUTPUT/$fname _xy_av nc .</span><br></p></li><li>With |
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218 | parallel runs and choice of <a href="chapter_4.2.html#data_output_2d_on_each_pe">data_output_2d_on_each_pe</a> |
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219 | = <i>.T.</i> |
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220 | each PE outputs the data of its subdomain |
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221 | not directly to the NetCDF file but to a separate file with the name |
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222 | PLOT2D_XY_<processor-Id>, |
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223 | where <processor-Id> is a four digit number (e.g. |
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224 | PLOT2D_XY_0000). These files have FORTRAN binary format. After PALM has |
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225 | finished, their content is merged into the final local destination file |
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226 | DATA_2D_XY_NETCDF by the program <span style="font-family: monospace;">combine_plot_fields</span>. <span style="font-weight: bold;"></span>This is done by adding the following output command to the configuration file:<br><br><span style="font-family: monospace;"> OC:[[$ |
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227 | ( echo $localhost | cut -c1-3 ) = imbh ]] && |
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228 | combine_plot_fields.x .</span><br><br>Using |
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229 | this call, possibly existing |
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230 | files of the other cross sections (xz, yz) and of 3d volume data are |
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231 | also merged to their respective NetCDF files. The tool writes |
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232 | informative messages about the actions accomplished into the job |
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233 | protocol, even if no files were found (i.e. the output command |
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234 | may remain in the configuration file, even if no appropriate files |
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235 | are created during the simulation). <br><br><br></li><li><a name="ncdump"></a>The contents of a NetCDF dataset can |
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236 | be simply analyzed with the tool <span style="font-family: monospace;">ncdump</span> |
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237 | (which is part of the NetCDF software). It can be used to display the |
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238 | dimension (coordinate) names and lengths; variable names, types, and |
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239 | shapes; attribute names and values; and optionally,<br>the values |
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240 | of |
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241 | data for all variables or selected variables in a netCDF dataset. The |
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242 | file content (without displaying the gridpoint data of the quantities) |
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243 | can be displayed with the command<br><br><span style="font-family: monospace;"> ncdump |
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244 | -c <filename> .</span><br><br>Usage |
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245 | of the <span style="font-family: monospace;">ncdump</span> |
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246 | command requires that the path to the NetCDF software is appropriately |
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247 | set. On the IMUK-Linux-cluster this path is set by default, on the |
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248 | HLRN-IBM-Regatta, the user has to execute the command<br><br><span style="font-family: monospace;"> module |
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249 | load netcdf .</span><br><br>Please |
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250 | refer to the system documentation or system administrator on |
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251 | how |
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252 | to setup the correct NetCDF path on the respective host.<br><br>An |
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253 | example how to interpret the <span style="font-family: monospace;">ncdump</span>-output |
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254 | will be given <a href="#NetCDF_example">further below</a>.<br><br></li><li>There |
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255 | are several application programs which can be used for graphical |
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256 | display of NetCDF datasets. One of the easiest ways to display the PALM |
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257 | data is the <a style="font-family: monospace;" href="http://ferret.wrc.noaa.gov/Ferret/">ferret</a> |
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258 | graphical user interface (GUI). On the IMUK-Linux-cluster, this can be called by |
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259 | executing the command<br><br><span style="font-family: monospace;"> ferret |
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260 | -gui .</span><br><br><span style="font-family: monospace;">ferret</span> is also |
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261 | available at <a href="http://www.hlrn.de/doc/ferret/index.html">HLRN</a>. |
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262 | Another possible tool is <span style="font-family: monospace;">ncview</span>, |
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263 | which is also available at HLRN (see the <a href="http://www.hlrn.de/doc/ncview/index.html">HLRN |
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264 | documentation</a>). Beside these general tools, the PALM group |
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265 | will develop a graphical interface based on <a href="http://www.ncl.ucar.edu/">NCL</a> |
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266 | (NCAR Command Language). This interface will be specially |
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267 | designed |
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268 | to display the PALM Data. A detailed documentation will be linked here |
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269 | as soon as available.<br><br><br></li><li><a name="netcdf_example_program"></a>One |
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270 | of the most flexible general ways for postprocessing NetCDF data |
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271 | is reading these data into a FORTRAN program. The <font color="#000000"></font><a href="http://www.muk.uni-hannover.de/%7Eraasch/PALM_group/INSTALL/read_palm_netcdf_data.f90"><font color="#000080">example program</font></a> shows how to read 2d or 3d NetCDF datasets created by PALM. Compiling this program requires that the |
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272 | NetCDF library is installed (if neccessary, please ask your system |
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273 | administrator). Some compilation instructions are given in the header of the |
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274 | example program.<br><br><br></li><li>By |
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275 | default, each PALM job creates its own NetCDF files. If permanent files |
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276 | with respective filenames are already existing then new files with |
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277 | higher cycle numbers will be created. However, in case of a job chain, |
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278 | it is possible to extend the NetCDF datasets created by the initial |
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279 | run with data from the restart run(s). As a result, data of all |
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280 | output times of the complete job chain are contained in one file and |
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281 | the number of data files to be handled by the user may be reduced |
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282 | significantly.<br>To extend a NetCDF dataset (created by a previous run |
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283 | of a job chain) with data from the current run requires that this |
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284 | dataset must be provided as an INPUT file. This may be difficult in |
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285 | case that PALM is running on a remote host because typically the output |
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286 | data files from the previous run have been already transferred by <span style="font-weight: bold;">mrun</span> to the local workstation with a file connection statement like<br><br><span style="font-family: monospace;"> |
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287 | DATA_2D_XY_NETCDF out:loc:tr xy#:xyf |
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288 | ~/palm/current_version/JOBS/$fname/OUTPUT _xy nc</span><br><br>and thus they are not available on the remote host any more. <br>A |
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289 | workaround for solving this problem is to create an additional copy of |
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290 | the output file on the remote machine by adding the file connection |
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291 | statement<br><br><span style="font-family: monospace;"> DATA_2D_XY_NETCDF out:loc xy#:xyf ~/palm/current_version/JOBS/$fname/OUTPUT _xy nc</span><br><br>This additional copy can then be accessed from a restart job as an input file using the file connection statement<br><br><span style="font-family: monospace;"> DATA_2D_XY_NETCDF in:locopt xyf ~/palm/current_version/JOBS/$fname/OUTPUT _xy nc</span><br><br>Here the file attribut <span style="font-family: monospace;">locopt</span> |
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292 | (2nd column) guarantees that the job continues if a permanent file does |
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293 | not exist (e.g. in case of an initial run). Otherwise, the job would be |
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294 | aborted.<br>Although the dataset created by the last run of a job chain |
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295 | will contain data from all selected time levels of the complete job |
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296 | chain, the main disadvantage of this workaround is that the datasets |
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297 | created by the remaining jobs (with lower cycle numbers) still exist |
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298 | and may consume large disc space. They have to be deleted "by hand" by |
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299 | the user on the local machine as well as on the remote |
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300 | machine because they only contain redundant data from the earlier |
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301 | time levels which are already contained in the dataset created by |
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302 | the last job of the job chain.<br><br><span style="font-weight: bold;">Note:</span><br>Extension of PALM NetCDF datasets of 2d horizontal cross sections requires that parameters <a href="chapter_4.2.html#data-output">data_output</a> and <a href="chapter_4.2.html#section_xy">section_xy</a> |
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303 | for the restart runs are set identical to the initial run. In case of a |
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304 | value mismatch between initial and restart runs, a warning is issued in |
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305 | the job protocol file and the dataset will contain only data from those |
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306 | timelevels calculated within the restart run.<br>Similar restrictions apply for all other PALM NetCDF datasets (i.e. profiles, vertical cross sections, volume data, etc.).</li></ol><br> <br><span style="font-weight: bold;"><a name="NetCDF_example"></a>Example of a PALM NetCDF dataset</span><br><br>The |
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307 | NetCDF dataset described here contains data of instantaneous horizontal |
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308 | cross sections and has been created using the settings of the <a href="http://www.muk.uni-hannover.de/%7Eraasch/PALM_group/INSTALL/example_p3d">example |
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309 | parameter file</a> (see <a href="chapter_4.4.html">chapter |
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310 | 4.4</a>), |
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311 | i.e. it contains section data of the w-velocity-component and of the |
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312 | potential temperature for vertical grid levels with index <span style="font-family: monospace;">k = 2</span> and <span style="font-family: monospace;">k = 10</span>, selected by the respective parameter settings <a href="chapter_4.2.html#data_output">data_output</a> = <span style="font-style: italic;">'w_xy'</span>, <span style="font-style: italic;">'pt_xy'</span>, and <a href="chapter_4.2.html#section_xy">section_xy</a> = <span style="font-style: italic;">2</span>, <span style="font-style: italic;">10</span>. Output has been created after every 900 s (<a href="chapter_4.2.html#dt_data_output">dt_data_output</a> = <span style="font-style: italic;">900.0</span>). Because of <a href="chapter_4.2.html#end_time">end_time</a> = <span style="font-style: italic;">3600.0</span>, the file contains data of 4 time levels (t = 900, 1800, 2700, 3600 s).<br>Supposed that the name of the NetCDF dataset is <span style="font-family: monospace;">example_xy.nc</span>, an analysis of the file contents using the command<br><br><span style="font-family: monospace;"> ncdump -c example_xy.nc</span><br><br>will create the following output. The original ncdump output is displayed using <span style="font-family: monospace;">fixed spacing</span>, additional explanations are given in <span style="font-style: italic; font-family: monospace;">italian</span>.<br><br><div style="margin-left: 40px;"><span style="font-family: monospace;">netcdf example_xy { <span style="font-style: italic;">! filename</span></span><br style="font-family: monospace;"><span style="font-family: monospace;">dimensions: <span style="font-style: italic;">! 41 gridpoints along x and y, 4 timelevels</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> time = UNLIMITED ; // (4 currently) <span style="font-style: italic;">! unlimited means that additional time levels can be added (e.g. by</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> |
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313 | |
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314 | |
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315 | <span style="font-style: italic;">! restart jobs)</span><br> zu_xy = 2 ; <span style="font-style: italic;">! vertical dimension (2, because two cross sections are selected);</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> zw_xy = 2 ; <span style="font-style: italic;">! there are two different vertical dimensions zu and zw because due</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> zu1_xy = 1 ; <span style="font-style: italic;">! to the staggered grid the z-levels of variables are those of the</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> |
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316 | x = 41 ; |
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317 | <span style="font-style: italic;">! u- or the w-component of the velocity</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> y = 41 ;</span><br style="font-family: monospace;"><span style="font-family: monospace;">variables: <span style="font-style: italic;">! precision, dimensions, and units of the variables</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> double time(time) ; <span style="font-style: italic;">! the variables containing the time levels and grid point coordinates</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> time:units = "seconds" ; <span style="font-style: italic;">! have the same names as the respective dimensions</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> double zu_xy(zu_xy) ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> zu_xy:units = "meters" ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> double zw_xy(zw_xy) ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> zw_xy:units = "meters" ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> double zu1_xy(zu1_xy) ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> zu1_xy:units = "meters" ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> double ind_z_xy(zu_xy) ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> ind_z_xy:units = "gridpoints" ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> double x(x) ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> x:units = "meters" ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> double y(y) ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> y:units = "meters" ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> float w_xy(time, zw_xy, y, x) ; <span style="font-style: italic;">! array of the vertical velocity; it has 4 dimensions: x and y,</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> w_xy:long_name = "w_xy" ; <span style="font-style: italic;">! because it is a horizontal cross section, zw_xy, which defines</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> w_xy:units = "m/s" ; <span style="font-style: italic;">! the vertical levels of the sections, and time, for the time levels</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> float pt_xy(time, zu_xy, y, x) ; <span style="font-style: italic;">! array of the potential temperature, which is defined on the u-grid</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> pt_xy:long_name = "pt_xy" ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> pt_xy:units = "K" ;</span><br style="font-family: monospace;"><br style="font-family: monospace;"><span style="font-family: monospace;">// global attributes:</span><br style="font-family: monospace;"><span style="font-family: monospace;"> :Conventions = "COARDS" ;</span><br style="font-family: monospace;"><span style="font-family: monospace;"> |
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318 | :title = "PALM 3.0 run: |
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319 | example.00 host: ibmh 13-04-06 15:12:43" ; <span style="font-style: italic;">! PALM run-identifier</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> :VAR_LIST = ";w_xy;pt_xy;" ; <span style="font-style: italic;">! the list of output quantities contained in this dataset;</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> |
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320 | |
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321 | |
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322 | <span style="font-style: italic;">! this global attribute can be used by FORTRAN programs to identify</span><br> |
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323 | |
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324 | |
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325 | <span style="font-style: italic;">! and read the quantities contained in the file</span><br>data:</span><br style="font-family: monospace;"><br style="font-family: monospace;"><span style="font-family: monospace;"> time = 905.3, 1808.98, 2711.98, 3603.59 ; <span style="font-style: italic;">! values of the four time levels</span></span><br style="font-family: monospace;"><br style="font-family: monospace;"><span style="font-family: monospace;"> zu_xy = 75, 475 ; <span style="font-style: italic;">! heights of the two selected cross sections (u-grid)</span></span><br style="font-family: monospace;"><br style="font-family: monospace;"><span style="font-family: monospace;"> zw_xy = 100, 500 ;</span><br style="font-family: monospace;"><br style="font-family: monospace;"><span style="font-family: monospace;"> zu1_xy = 25 ;</span><br style="font-family: monospace;"><br style="font-family: monospace;"><span style="font-family: monospace;"> x = 0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700, <span style="font-style: italic;">! x-coordinates of the gridpoints</span></span><br style="font-family: monospace;"><span style="font-family: monospace;"> 750, 800, 850, 900, 950, 1000, 1050, 1100, 1150, 1200, 1250, 1300, 1350, </span><br style="font-family: monospace;"><span style="font-family: monospace;"> 1400, 1450, 1500, 1550, 1600, 1650, 1700, 1750, 1800, 1850, 1900, 1950, </span><br style="font-family: monospace;"><span style="font-family: monospace;"> 2000 ;</span><br style="font-family: monospace;"><br style="font-family: monospace;"><span style="font-family: monospace;"> y = 0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700, </span><br style="font-family: monospace;"><span style="font-family: monospace;"> 750, 800, 850, 900, 950, 1000, 1050, 1100, 1150, 1200, 1250, 1300, 1350, </span><br style="font-family: monospace;"><span style="font-family: monospace;"> 1400, 1450, 1500, 1550, 1600, 1650, 1700, 1750, 1800, 1850, 1900, 1950, </span><br style="font-family: monospace;"><span style="font-family: monospace;"> 2000 ;</span><br style="font-family: monospace;"><span style="font-family: monospace;">}</span><br></div><br>If the option <span style="font-family: monospace;">-c</span> is omitted in the <span style="font-family: monospace;">ncdump</span> call, then also the complete grid point data of all quantities are output to the terminal.<br><br>The <a href="http://www.muk.uni-hannover.de/%7Eraasch/PALM_group/INSTALL/read_palm_netcdf_data.f90"><font color="#000080">example program</font></a><span style="font-weight: bold;"></span> shows how to read this 2d |
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326 | horizontal cross section dataset from a FORTRAN program (<a href="#netcdf_example_program">see above</a>).<br><hr> |
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327 | <p style="line-height: 100%;"><br><font color="#000080"><font color="#000080"><a href="chapter_4.5.html"><font color="#000080"><img name="Grafik1" src="left.gif" align="bottom" border="2" height="32" width="32"></font></a><a href="index.html"><font color="#000080"><img name="Grafik2" src="up.gif" align="bottom" border="2" height="32" width="32"></font></a><a href="chapter_4.5.2.html"><font color="#000080"><img style="border: 2px solid ; width: 32px; height: 32px;" alt="" name="Grafik3" src="right.gif"></font></a></font></font></p> |
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328 | <p style="line-height: 100%;"><span style="font-style: italic;">Last |
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329 | change:</span> 08/02/07 (SR) </p> |
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330 | </body></html> |
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