1 | #!/usr/bin/env python |
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2 | # -*- coding: utf-8 -*- |
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3 | #******************************************************************************* |
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4 | # @Author: Anne Fouilloux (University of Oslo) |
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5 | # |
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6 | # @Date: October 2014 |
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7 | # |
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8 | # @Change History: |
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9 | # |
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10 | # November 2015 - Leopold Haimberger (University of Vienna): |
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11 | # - extended with class Control |
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12 | # - removed functions mkdir_p, daterange, years_between, months_between |
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13 | # - added functions darain, dapoly, to_param_id, init128, normal_exit, |
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14 | # my_error, clean_up, install_args_and_control, |
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15 | # interpret_args_and_control, |
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16 | # - removed function __del__ in class EIFLexpart |
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17 | # - added the following functions in EIFlexpart: |
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18 | # - create_namelist |
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19 | # - process_output |
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20 | # - deacc_fluxes |
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21 | # - modified existing EIFlexpart - functions for the use in |
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22 | # flex_extract |
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23 | # - retrieve also longer term forecasts, not only analyses and |
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24 | # short term forecast data |
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25 | # - added conversion into GRIB2 |
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26 | # - added conversion into .fp format for faster execution of FLEXPART |
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27 | # (see https://www.flexpart.eu/wiki/FpCtbtoWo4FpFormat) |
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28 | # |
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29 | # February 2018 - Anne Philipp (University of Vienna): |
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30 | # - applied PEP8 style guide |
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31 | # - added documentation |
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32 | # - removed function getFlexpartTime in class EcFlexpart |
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33 | # - outsourced class ControlFile |
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34 | # - outsourced class MarsRetrieval |
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35 | # - changed class name from EIFlexpart to EcFlexpart |
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36 | # - applied minor code changes (style) |
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37 | # - removed "dead code" , e.g. retrieval of Q since it is not needed |
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38 | # - removed "times" parameter from retrieve-method since it is not used |
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39 | # - seperated function "retrieve" into smaller functions (less code |
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40 | # duplication, easier testing) |
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41 | # |
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42 | # @License: |
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43 | # (C) Copyright 2014-2018. |
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44 | # |
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45 | # This software is licensed under the terms of the Apache Licence Version 2.0 |
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46 | # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. |
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47 | # |
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48 | # @Class Description: |
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49 | # FLEXPART needs grib files in a specifc format. All necessary data fields |
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50 | # for one time step are stored in a single file. The class represents an |
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51 | # instance with all the parameter and settings necessary for retrieving |
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52 | # MARS data and modifing them so they are fitting FLEXPART need. The class |
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53 | # is able to disaggregate the fluxes and convert grid types to the one needed |
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54 | # by FLEXPART, therefore using the FORTRAN program. |
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55 | # |
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56 | # @Class Content: |
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57 | # - __init__ |
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58 | # - write_namelist |
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59 | # - retrieve |
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60 | # - process_output |
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61 | # - create |
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62 | # - deacc_fluxes |
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63 | # |
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64 | # @Class Attributes: |
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65 | # |
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66 | # TODO |
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67 | # |
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68 | #******************************************************************************* |
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69 | #pylint: disable=unsupported-assignment-operation |
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70 | # this is disabled because for this specific case its an error in pylint |
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71 | #pylint: disable=consider-using-enumerate |
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72 | # this is not useful in this case |
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73 | # ------------------------------------------------------------------------------ |
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74 | # MODULES |
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75 | # ------------------------------------------------------------------------------ |
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76 | import os |
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77 | import sys |
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78 | import glob |
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79 | import shutil |
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80 | import subprocess |
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81 | from datetime import datetime, timedelta |
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82 | import numpy as np |
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83 | |
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84 | from eccodes import (codes_index_select, codes_new_from_index, codes_get, |
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85 | codes_get_values, codes_set_values, codes_set, |
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86 | codes_write, codes_release, codes_new_from_index, |
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87 | codes_index_release, codes_index_get) |
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88 | |
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89 | # software specific classes and modules from flex_extract |
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90 | sys.path.append('../') |
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91 | import _config |
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92 | from GribTools import GribTools |
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93 | from mods.tools import (init128, to_param_id, silent_remove, product, |
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94 | my_error, make_dir) |
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95 | from MarsRetrieval import MarsRetrieval |
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96 | import mods.disaggregation as disaggregation |
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97 | |
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98 | # ------------------------------------------------------------------------------ |
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99 | # CLASS |
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100 | # ------------------------------------------------------------------------------ |
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101 | class EcFlexpart(object): |
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102 | ''' |
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103 | Class to retrieve FLEXPART specific ECMWF data. |
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104 | ''' |
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105 | # -------------------------------------------------------------------------- |
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106 | # CLASS FUNCTIONS |
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107 | # -------------------------------------------------------------------------- |
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108 | def __init__(self, c, fluxes=False): |
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109 | '''Creates an object/instance of EcFlexpart with the associated |
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110 | settings of its attributes for the retrieval. |
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111 | |
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112 | Parameters: |
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113 | ----------- |
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114 | c : :obj:`ControlFile` |
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115 | Contains all the parameters of CONTROL file and |
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116 | command line. |
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117 | |
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118 | fluxes : :obj:`boolean`, optional |
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119 | Decides if the flux parameter settings are stored or |
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120 | the rest of the parameter list. |
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121 | Default value is False. |
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122 | |
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123 | Return |
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124 | ------ |
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125 | |
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126 | ''' |
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127 | # set a counter for the number of mars requests generated |
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128 | self.mreq_count = 0 |
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129 | |
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130 | # different mars types for retrieving data for flexpart |
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131 | self.types = dict() |
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132 | |
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133 | # Pure forecast mode |
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134 | if c.maxstep > len(c.type) and 'AN' not in c.type: |
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135 | c.type = [c.type[0]] |
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136 | c.step = ['{:0>3}'.format(int(c.step[0]))] |
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137 | c.time = [c.time[0]] |
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138 | for i in range(1, c.maxstep + 1): |
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139 | c.type.append(c.type[0]) |
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140 | c.step.append('{:0>3}'.format(i)) |
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141 | c.time.append(c.time[0]) |
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142 | |
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143 | self.inputdir = c.inputdir |
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144 | self.dataset = c.dataset |
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145 | self.basetime = c.basetime |
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146 | self.dtime = c.dtime |
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147 | i = 0 |
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148 | if fluxes and c.maxstep <= 24: |
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149 | # no forecast beyond one day is needed! |
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150 | # Thus, prepare flux data manually as usual |
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151 | # with only forecast fields with start times at 00/12 |
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152 | # (but without 00/12 fields since these are |
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153 | # the initialisation times of the flux fields |
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154 | # and therefore are zero all the time) |
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155 | self.types[str(c.acctype)] = {'times': str(c.acctime), |
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156 | 'steps': '{}/to/{}/by/{}'.format( |
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157 | c.dtime, c.accmaxstep, c.dtime)} |
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158 | else: |
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159 | for ty, st, ti in zip(c.type, c.step, c.time): |
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160 | btlist = range(24) |
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161 | if c.basetime == '12': |
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162 | btlist = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] |
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163 | if c.basetime == '00': |
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164 | btlist = [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 0] |
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165 | |
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166 | if ((ty.upper() == 'AN' and (int(c.time[i]) % int(c.dtime)) == 0) or |
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167 | (ty.upper() != 'AN' and (int(c.step[i]) % int(c.dtime)) == 0 and |
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168 | (int(c.step[i]) % int(c.dtime) == 0)) ) and \ |
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169 | (int(c.time[i]) in btlist or c.maxstep > 24): |
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170 | |
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171 | if ty not in self.types.keys(): |
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172 | self.types[ty] = {'times': '', 'steps': ''} |
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173 | |
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174 | if ti not in self.types[ty]['times']: |
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175 | if self.types[ty]['times']: |
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176 | self.types[ty]['times'] += '/' |
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177 | self.types[ty]['times'] += ti |
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178 | |
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179 | if st not in self.types[ty]['steps']: |
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180 | if self.types[ty]['steps']: |
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181 | self.types[ty]['steps'] += '/' |
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182 | self.types[ty]['steps'] += st |
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183 | i += 1 |
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184 | |
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185 | self.marsclass = c.marsclass |
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186 | self.stream = c.stream |
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187 | self.number = c.number |
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188 | self.resol = c.resol |
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189 | self.accuracy = c.accuracy |
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190 | self.level = c.level |
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191 | self.expver = c.expver |
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192 | self.levelist = c.levelist |
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193 | # for gaussian grid retrieval |
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194 | self.glevelist = '1/to/' + c.level |
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195 | self.gaussian = c.gaussian |
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196 | self.grid = c.grid |
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197 | self.area = c.area |
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198 | self.outputfilelist = [] |
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199 | |
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200 | |
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201 | # Now comes the nasty part that deals with the different |
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202 | # scenarios we have: |
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203 | # 1) Calculation of etadot on |
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204 | # a) Gaussian grid |
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205 | # b) Output grid |
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206 | # c) Output grid using parameter 77 retrieved from MARS |
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207 | # 3) Calculation/Retrieval of omega |
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208 | # 4) Download also data for WRF |
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209 | |
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210 | # Different grids need different retrievals |
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211 | # SH = Spherical Harmonics, GG = Gaussian Grid, |
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212 | # OG = Output Grid, ML = MultiLevel, SL = SingleLevel |
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213 | self.params = {'SH__ML': '', 'SH__SL': '', |
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214 | 'GG__ML': '', 'GG__SL': '', |
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215 | 'OG__ML': '', 'OG__SL': '', |
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216 | 'OG_OROLSM_SL': '', 'OG_acc_SL': ''} |
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217 | # the self.params dictionary stores a list of |
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218 | # [param, levtype, levelist, grid] per key |
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219 | |
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220 | if fluxes is False: |
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221 | self.params['SH__SL'] = ['LNSP', 'ML', '1', 'OFF'] |
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222 | # "SD/MSL/TCC/10U/10V/2T/2D/129/172" |
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223 | self.params['OG__SL'] = ["141/151/164/165/166/167/168/129/172", \ |
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224 | 'SFC', '1', self.grid] |
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225 | if c.addpar: |
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226 | if c.addpar[0] == '/': |
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227 | c.addpar = c.addpar[1:] |
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228 | self.params['OG__SL'][0] += '/' + '/'.join(c.addpar) |
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229 | |
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230 | if c.marsclass.upper() == 'EA' or c.marsclass.upper() == 'EP': |
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231 | self.params['OG_OROLSM__SL'] = ["160/27/28/244", |
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232 | 'SFC', '1', self.grid] |
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233 | else: |
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234 | self.params['OG_OROLSM__SL'] = ["160/27/28/173", \ |
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235 | 'SFC', '1', self.grid] |
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236 | |
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237 | self.params['OG__ML'] = ['T/Q', 'ML', self.levelist, self.grid] |
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238 | |
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239 | #if c.gauss == '0' and c.eta == '1': |
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240 | if not c.gauss and c.eta: |
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241 | # the simplest case |
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242 | self.params['OG__ML'][0] += '/U/V/77' |
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243 | #elif c.gauss == '0' and c.eta == '0': |
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244 | elif not c.gauss and not c.eta: |
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245 | # this is not recommended (inaccurate) |
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246 | self.params['OG__ML'][0] += '/U/V' |
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247 | #elif c.gauss == '1' and c.eta == '0': |
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248 | elif c.gauss and not c.eta: |
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249 | # this is needed for data before 2008, or for reanalysis data |
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250 | self.params['GG__SL'] = ['Q', 'ML', '1', \ |
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251 | '{}'.format((int(self.resol) + 1) / 2)] |
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252 | self.params['SH__ML'] = ['U/V/D', 'ML', self.glevelist, 'OFF'] |
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253 | else: |
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254 | print('Warning: This is a very costly parameter combination, \ |
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255 | use only for debugging!') |
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256 | self.params['GG__SL'] = ['Q', 'ML', '1', \ |
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257 | '{}'.format((int(self.resol) + 1) / 2)] |
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258 | self.params['GG__ML'] = ['U/V/D/77', 'ML', self.glevelist, \ |
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259 | '{}'.format((int(self.resol) + 1) / 2)] |
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260 | |
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261 | if c.omega: |
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262 | self.params['OG__ML'][0] += '/W' |
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263 | |
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264 | # add cloud water content if necessary |
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265 | if c.cwc: |
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266 | self.params['OG__ML'][0] += '/CLWC/CIWC' |
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267 | |
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268 | # add vorticity and geopotential height for WRF if necessary |
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269 | if c.wrf: |
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270 | self.params['OG__ML'][0] += '/Z/VO' |
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271 | if '/D' not in self.params['OG__ML'][0]: |
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272 | self.params['OG__ML'][0] += '/D' |
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273 | #wrf_sfc = 'sp/msl/skt/2t/10u/10v/2d/z/lsm/sst/ci/sd/stl1/ / |
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274 | # stl2/stl3/stl4/swvl1/swvl2/swvl3/swvl4'.upper() |
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275 | wrf_sfc = '134/235/167/165/166/168/129/172/34/31/141/ \ |
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276 | 139/170/183/236/39/40/41/42' |
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277 | lwrt_sfc = wrf_sfc.split('/') |
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278 | for par in lwrt_sfc: |
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279 | if par not in self.params['OG__SL'][0]: |
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280 | self.params['OG__SL'][0] += '/' + par |
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281 | |
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282 | else: |
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283 | self.params['OG_acc_SL'] = ["LSP/CP/SSHF/EWSS/NSSS/SSR", \ |
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284 | 'SFC', '1', self.grid] |
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285 | |
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286 | return |
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287 | |
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288 | |
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289 | def _mk_targetname(self, ftype, param, date): |
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290 | '''Creates the filename for the requested grib data to be stored in. |
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291 | This name is passed as the "target" parameter in the request. |
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292 | |
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293 | Parameters |
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294 | ---------- |
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295 | ftype : :obj:`string` |
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296 | Shortcut name of the type of the field. E.g. AN, FC, PF, ... |
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297 | |
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298 | param : :obj:`string` |
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299 | Shortcut of the grid type. E.g. SH__ML, SH__SL, GG__ML, |
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300 | GG__SL, OG__ML, OG__SL, OG_OROLSM_SL, OG_acc_SL |
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301 | |
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302 | date : :obj:`string` |
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303 | The date period of the grib data to be stored in this file. |
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304 | |
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305 | Return |
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306 | ------ |
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307 | targetname : :obj:`string` |
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308 | The target filename for the grib data. |
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309 | ''' |
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310 | targetname = (self.inputdir + '/' + ftype + param + '.' + date + '.' + |
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311 | str(os.getppid()) + '.' + str(os.getpid()) + '.grb') |
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312 | |
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313 | return targetname |
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314 | |
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315 | |
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316 | def _start_retrievement(self, request, par_dict): |
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317 | '''Creates the Mars Retrieval and prints or submits the request |
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318 | depending on the status of the request variable. |
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319 | |
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320 | Parameters |
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321 | ---------- |
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322 | request : :obj:`integer` |
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323 | Selects the mode of retrieval. |
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324 | 0: Retrieves the data from ECMWF. |
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325 | 1: Prints the mars requests to an output file. |
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326 | 2: Retrieves the data and prints the mars request. |
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327 | |
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328 | par_dict : :obj:`dictionary` |
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329 | Contains all parameter which have to be set for creating the |
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330 | Mars Retrievals. The parameter are: |
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331 | marsclass, dataset, stream, type, levtype, levelist, resol, |
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332 | gaussian, accuracy, grid, target, area, date, time, number, |
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333 | step, expver, param |
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334 | |
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335 | Return |
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336 | ------ |
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337 | |
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338 | ''' |
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339 | # increase number of mars requests |
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340 | self.mreq_count += 1 |
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341 | |
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342 | MR = MarsRetrieval(self.server, |
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343 | self.public, |
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344 | marsclass=par_dict['marsclass'], |
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345 | dataset=par_dict['dataset'], |
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346 | stream=par_dict['stream'], |
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347 | type=par_dict['type'], |
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348 | levtype=par_dict['levtype'], |
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349 | levelist=par_dict['levelist'], |
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350 | resol=par_dict['resol'], |
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351 | gaussian=par_dict['gaussian'], |
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352 | accuracy=par_dict['accuracy'], |
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353 | grid=par_dict['grid'], |
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354 | target=par_dict['target'], |
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355 | area=par_dict['area'], |
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356 | date=par_dict['date'], |
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357 | time=par_dict['time'], |
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358 | number=par_dict['number'], |
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359 | step=par_dict['step'], |
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360 | expver=par_dict['expver'], |
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361 | param=par_dict['param']) |
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362 | |
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363 | if request == 0: |
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364 | MR.display_info() |
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365 | MR.data_retrieve() |
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366 | elif request == 1: |
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367 | MR.print_infodata_csv(self.inputdir, self.mreq_count) |
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368 | elif request == 2: |
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369 | MR.print_infodata_csv(self.inputdir, self.mreq_count) |
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370 | MR.display_info() |
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371 | MR.data_retrieve() |
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372 | else: |
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373 | print('Failure') |
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374 | |
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375 | return |
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376 | |
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377 | |
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378 | def _mk_index_values(self, inputdir, inputfiles, keys): |
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379 | '''Creates an index file for a set of grib parameter keys. |
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380 | The values from the index keys are returned in a list. |
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381 | |
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382 | Parameters |
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383 | ---------- |
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384 | keys : :obj:`dictionary` |
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385 | List of parameter names which serves as index. |
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386 | |
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387 | inputfiles : :obj:`UioFiles` |
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388 | Contains a list of files. |
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389 | |
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390 | Return |
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391 | ------ |
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392 | iid : :obj:`codes_index` |
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393 | This is a grib specific index structure to access |
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394 | messages in a file. |
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395 | |
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396 | index_vals : :obj:`list` |
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397 | Contains the values from the keys used for a distinct selection |
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398 | of grib messages in processing the grib files. |
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399 | Content looks like e.g.: |
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400 | index_vals[0]: ('20171106', '20171107', '20171108') ; date |
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401 | index_vals[1]: ('0', '1200', '1800', '600') ; time |
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402 | index_vals[2]: ('0', '12', '3', '6', '9') ; stepRange |
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403 | ''' |
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404 | iid = None |
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405 | index_keys = keys |
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406 | |
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407 | indexfile = os.path.join(inputdir, _config.FILE_GRIB_INDEX) |
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408 | silent_remove(indexfile) |
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409 | grib = GribTools(inputfiles.files) |
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410 | # creates new index file |
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411 | iid = grib.index(index_keys=index_keys, index_file=indexfile) |
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412 | |
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413 | # read the values of index keys |
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414 | index_vals = [] |
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415 | for key in index_keys: |
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416 | key_vals = codes_index_get(iid, key) |
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417 | # have to sort the key values for correct disaggregation, |
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418 | # therefore convert to int first |
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419 | key_vals = [int(k) for k in key_vals] |
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420 | key_vals.sort() |
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421 | key_vals = [str(k) for k in key_vals] |
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422 | index_vals.append(key_vals) |
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423 | # index_vals looks for example like: |
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424 | # index_vals[0]: ('20171106', '20171107', '20171108') ; date |
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425 | # index_vals[1]: ('0', '1200') ; time |
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426 | # index_vals[2]: (3', '6', '9', '12') ; stepRange |
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427 | |
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428 | return iid, index_vals |
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429 | |
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430 | |
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431 | def retrieve(self, server, dates, public, request, inputdir='.'): |
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432 | '''Finalizing the retrieval information by setting final details |
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433 | depending on grid type. |
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434 | Prepares MARS retrievals per grid type and submits them. |
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435 | |
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436 | Parameters |
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437 | ---------- |
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438 | server : :obj:`ECMWFService` or :obj:`ECMWFDataServer` |
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439 | The connection to the ECMWF server. This is different |
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440 | for member state users which have full access and non |
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441 | member state users which have only access to the public |
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442 | data sets. The decision is made from command line argument |
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443 | "public"; for public access its True (ECMWFDataServer) |
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444 | for member state users its False (ECMWFService) |
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445 | |
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446 | dates : :obj:`string` |
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447 | Contains start and end date of the retrieval in the format |
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448 | "YYYYMMDD/to/YYYYMMDD" |
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449 | |
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450 | request : :obj:`integer` |
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451 | Selects the mode of retrieval. |
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452 | 0: Retrieves the data from ECMWF. |
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453 | 1: Prints the mars requests to an output file. |
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454 | 2: Retrieves the data and prints the mars request. |
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455 | |
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456 | inputdir : :obj:`string`, optional |
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457 | Path to the directory where the retrieved data is about |
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458 | to be stored. The default is the current directory ('.'). |
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459 | |
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460 | Return |
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461 | ------ |
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462 | |
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463 | ''' |
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464 | self.dates = dates |
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465 | self.server = server |
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466 | self.public = public |
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467 | self.inputdir = inputdir |
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468 | oro = False |
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469 | |
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470 | # define times with datetime module |
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471 | t12h = timedelta(hours=12) |
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472 | t24h = timedelta(hours=24) |
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473 | |
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474 | # dictionary which contains all parameter for the mars request, |
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475 | # entries with a "None" will change in different requests and will |
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476 | # therefore be set in each request seperately |
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477 | retr_param_dict = {'marsclass':self.marsclass, |
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478 | 'dataset':self.dataset, |
---|
479 | 'stream':None, |
---|
480 | 'type':None, |
---|
481 | 'levtype':None, |
---|
482 | 'levelist':None, |
---|
483 | 'resol':self.resol, |
---|
484 | 'gaussian':None, |
---|
485 | 'accuracy':self.accuracy, |
---|
486 | 'grid':None, |
---|
487 | 'target':None, |
---|
488 | 'area':None, |
---|
489 | 'date':None, |
---|
490 | 'time':None, |
---|
491 | 'number':self.number, |
---|
492 | 'step':None, |
---|
493 | 'expver':self.expver, |
---|
494 | 'param':None} |
---|
495 | |
---|
496 | for ftype in self.types: |
---|
497 | # fk contains field types such as |
---|
498 | # [AN, FC, PF, CV] |
---|
499 | # fv contains all of the items of the belonging key |
---|
500 | # [times, steps] |
---|
501 | for pk, pv in self.params.iteritems(): |
---|
502 | # pk contains one of these keys of params |
---|
503 | # [SH__ML, SH__SL, GG__ML, GG__SL, OG__ML, OG__SL, |
---|
504 | # OG_OROLSM_SL, OG_acc_SL] |
---|
505 | # pv contains all of the items of the belonging key |
---|
506 | # [param, levtype, levelist, grid] |
---|
507 | if isinstance(pv, str): |
---|
508 | continue |
---|
509 | retr_param_dict['type'] = ftype |
---|
510 | retr_param_dict['time'] = self.types[ftype]['times'] |
---|
511 | retr_param_dict['step'] = self.types[ftype]['steps'] |
---|
512 | retr_param_dict['date'] = self.dates |
---|
513 | retr_param_dict['stream'] = self.stream |
---|
514 | retr_param_dict['target'] = \ |
---|
515 | self._mk_targetname(ftype, |
---|
516 | pk, |
---|
517 | retr_param_dict['date'].split('/')[0]) |
---|
518 | retr_param_dict['param'] = pv[0] |
---|
519 | retr_param_dict['levtype'] = pv[1] |
---|
520 | retr_param_dict['levelist'] = pv[2] |
---|
521 | retr_param_dict['grid'] = pv[3] |
---|
522 | retr_param_dict['area'] = self.area |
---|
523 | retr_param_dict['gaussian'] = self.gaussian |
---|
524 | |
---|
525 | if pk == 'OG__SL': |
---|
526 | pass |
---|
527 | if pk == 'OG_OROLSM__SL' and not oro: |
---|
528 | oro = True |
---|
529 | # in CERA20C (class EP) there is no stream "OPER"! |
---|
530 | if self.marsclass.upper() != 'EP': |
---|
531 | retr_param_dict['stream'] = 'OPER' |
---|
532 | retr_param_dict['type'] = 'AN' |
---|
533 | retr_param_dict['time'] = '00' |
---|
534 | retr_param_dict['step'] = '000' |
---|
535 | retr_param_dict['date'] = self.dates.split('/')[0] |
---|
536 | retr_param_dict['target'] = self._mk_targetname('', |
---|
537 | pk, retr_param_dict['date']) |
---|
538 | elif pk == 'OG_OROLSM__SL' and oro: |
---|
539 | continue |
---|
540 | if pk == 'GG__SL' and pv[0] == 'Q': |
---|
541 | retr_param_dict['area'] = "" |
---|
542 | retr_param_dict['gaussian'] = 'reduced' |
---|
543 | |
---|
544 | # ------ on demand path -------------------------------------------------- |
---|
545 | if not self.basetime: |
---|
546 | # ******* start retrievement |
---|
547 | self._start_retrievement(request, retr_param_dict) |
---|
548 | # ------ operational path ------------------------------------------------ |
---|
549 | else: |
---|
550 | # check if mars job requests fields beyond basetime. |
---|
551 | # if yes eliminate those fields since they may not |
---|
552 | # be accessible with user's credentials |
---|
553 | |
---|
554 | enddate = retr_param_dict['date'].split('/')[-1] |
---|
555 | elimit = datetime.strptime(enddate + self.basetime, |
---|
556 | '%Y%m%d%H') |
---|
557 | |
---|
558 | if self.basetime == '12': |
---|
559 | # -------------- flux data ---------------------------- |
---|
560 | if 'acc' in pk: |
---|
561 | |
---|
562 | # Strategy: |
---|
563 | # if maxtime-elimit >= 24h reduce date by 1, |
---|
564 | # if 12h <= maxtime-elimit<12h reduce time for last date |
---|
565 | # if maxtime-elimit<12h reduce step for last time |
---|
566 | # A split of the MARS job into 2 is likely necessary. |
---|
567 | |
---|
568 | |
---|
569 | startdate = retr_param_dict['date'].split('/')[0] |
---|
570 | enddate = datetime.strftime(elimit - t24h,'%Y%m%d') |
---|
571 | retr_param_dict['date'] = '/'.join([startdate, |
---|
572 | 'to', |
---|
573 | enddate]) |
---|
574 | |
---|
575 | # ******* start retrievement |
---|
576 | self._start_retrievement(request, retr_param_dict) |
---|
577 | |
---|
578 | retr_param_dict['date'] = \ |
---|
579 | datetime.strftime(elimit - t12h, '%Y%m%d') |
---|
580 | retr_param_dict['time'] = '00' |
---|
581 | retr_param_dict['target'] = \ |
---|
582 | self._mk_targetname(ftype, pk, |
---|
583 | retr_param_dict['date']) |
---|
584 | |
---|
585 | # ******* start retrievement |
---|
586 | self._start_retrievement(request, retr_param_dict) |
---|
587 | |
---|
588 | # -------------- non flux data ------------------------ |
---|
589 | else: |
---|
590 | # ******* start retrievement |
---|
591 | self._start_retrievement(request, retr_param_dict) |
---|
592 | |
---|
593 | else: # basetime = 0 |
---|
594 | retr_param_dict['date'] = \ |
---|
595 | datetime.strftime(elimit - t24h, '%Y%m%d') |
---|
596 | |
---|
597 | timesave = ''.join(retr_param_dict['time']) |
---|
598 | |
---|
599 | if '/' in retr_param_dict['time']: |
---|
600 | times = retr_param_dict['time'].split('/') |
---|
601 | steps = retr_param_dict['step'].split('/') |
---|
602 | while (pk != 'OG_OROLSM__SL' and |
---|
603 | 'acc' not in pk and |
---|
604 | (int(times[0]) + int(steps[0])) <= 12): |
---|
605 | times = times[1:] |
---|
606 | |
---|
607 | if len(times) > 1: |
---|
608 | retr_param_dict['time'] = '/'.join(times) |
---|
609 | else: |
---|
610 | retr_param_dict['time'] = times[0] |
---|
611 | |
---|
612 | # ******* start retrievement |
---|
613 | self._start_retrievement(request, retr_param_dict) |
---|
614 | |
---|
615 | if (pk != 'OG_OROLSM__SL' and |
---|
616 | int(retr_param_dict['step'].split('/')[0]) == 0 and |
---|
617 | int(timesave.split('/')[0]) == 0): |
---|
618 | |
---|
619 | retr_param_dict['date'] = \ |
---|
620 | datetime.strftime(elimit, '%Y%m%d') |
---|
621 | retr_param_dict['time'] = '00' |
---|
622 | retr_param_dict['step'] = '000' |
---|
623 | retr_param_dict['target'] = \ |
---|
624 | self._mk_targetname(ftype, pk, |
---|
625 | retr_param_dict['date']) |
---|
626 | |
---|
627 | # ******* start retrievement |
---|
628 | self._start_retrievement(request, retr_param_dict) |
---|
629 | |
---|
630 | if request == 0 or request == 2: |
---|
631 | print('MARS retrieve done ... ') |
---|
632 | elif request == 1: |
---|
633 | print('MARS request printed ...') |
---|
634 | |
---|
635 | return |
---|
636 | |
---|
637 | |
---|
638 | def write_namelist(self, c): |
---|
639 | '''Creates a namelist file in the temporary directory and writes |
---|
640 | the following values to it: maxl, maxb, mlevel, |
---|
641 | mlevelist, mnauf, metapar, rlo0, rlo1, rla0, rla1, |
---|
642 | momega, momegadiff, mgauss, msmooth, meta, metadiff, mdpdeta |
---|
643 | |
---|
644 | Parameters |
---|
645 | ---------- |
---|
646 | c : :obj:`ControlFile` |
---|
647 | Contains all the parameters of CONTROL file and |
---|
648 | command line. |
---|
649 | |
---|
650 | filename : :obj:`string` |
---|
651 | Name of the namelist file. |
---|
652 | |
---|
653 | Return |
---|
654 | ------ |
---|
655 | |
---|
656 | ''' |
---|
657 | |
---|
658 | from genshi.template.text import NewTextTemplate |
---|
659 | from genshi.template import TemplateLoader |
---|
660 | |
---|
661 | loader = TemplateLoader(_config.PATH_TEMPLATES, auto_reload=False) |
---|
662 | namelist_template = loader.load(_config.TEMPFILE_NAMELIST, |
---|
663 | cls=NewTextTemplate) |
---|
664 | |
---|
665 | self.inputdir = c.inputdir |
---|
666 | area = np.asarray(self.area.split('/')).astype(float) |
---|
667 | grid = np.asarray(self.grid.split('/')).astype(float) |
---|
668 | |
---|
669 | if area[1] > area[3]: |
---|
670 | area[1] -= 360 |
---|
671 | maxl = int((area[3] - area[1]) / grid[1]) + 1 |
---|
672 | maxb = int((area[0] - area[2]) / grid[0]) + 1 |
---|
673 | |
---|
674 | stream = namelist_template.generate( |
---|
675 | maxl = str(maxl), |
---|
676 | maxb = str(maxb), |
---|
677 | mlevel = str(self.level), |
---|
678 | mlevelist = str(self.levelist), |
---|
679 | mnauf = str(self.resol), |
---|
680 | metapar = '77', |
---|
681 | rlo0 = str(area[1]), |
---|
682 | rlo1 = str(area[3]), |
---|
683 | rla0 = str(area[2]), |
---|
684 | rla1 = str(area[0]), |
---|
685 | momega = str(c.omega), |
---|
686 | momegadiff = str(c.omegadiff), |
---|
687 | mgauss = str(c.gauss), |
---|
688 | msmooth = str(c.smooth), |
---|
689 | meta = str(c.eta), |
---|
690 | metadiff = str(c.etadiff), |
---|
691 | mdpdeta = str(c.dpdeta) |
---|
692 | ) |
---|
693 | |
---|
694 | namelistfile = os.path.join(self.inputdir, _config.FILE_NAMELIST) |
---|
695 | |
---|
696 | with open(namelistfile, 'w') as f: |
---|
697 | f.write(stream.render('text')) |
---|
698 | |
---|
699 | return |
---|
700 | |
---|
701 | |
---|
702 | def deacc_fluxes(self, inputfiles, c): |
---|
703 | '''Goes through all flux fields in ordered time and de-accumulate |
---|
704 | the fields. Afterwards the fields are disaggregated in time. |
---|
705 | Different versions of disaggregation is provided for rainfall |
---|
706 | data (darain, modified linear) and the surface fluxes and |
---|
707 | stress data (dapoly, cubic polynomial). |
---|
708 | |
---|
709 | Parameters |
---|
710 | ---------- |
---|
711 | inputfiles : :obj:`UioFiles` |
---|
712 | Contains a list of files. |
---|
713 | |
---|
714 | c : :obj:`ControlFile` |
---|
715 | Contains all the parameters of CONTROL file and |
---|
716 | command line. |
---|
717 | |
---|
718 | Return |
---|
719 | ------ |
---|
720 | |
---|
721 | ''' |
---|
722 | |
---|
723 | table128 = init128(_config.PATH_GRIBTABLE) |
---|
724 | pars = to_param_id(self.params['OG_acc_SL'][0], table128) |
---|
725 | |
---|
726 | iid = None |
---|
727 | index_vals = None |
---|
728 | |
---|
729 | # get the values of the keys which are used for distinct access |
---|
730 | # of grib messages via product |
---|
731 | index_keys = ["date", "time", "step"] |
---|
732 | iid, index_vals = self._mk_index_values(c.inputdir, |
---|
733 | inputfiles, |
---|
734 | index_keys) |
---|
735 | # index_vals looks like e.g.: |
---|
736 | # index_vals[0]: ('20171106', '20171107', '20171108') ; date |
---|
737 | # index_vals[1]: ('0', '1200', '1800', '600') ; time |
---|
738 | # index_vals[2]: ('0', '12', '3', '6', '9') ; stepRange |
---|
739 | |
---|
740 | # initialize dictionaries |
---|
741 | valsdict = {} |
---|
742 | svalsdict = {} |
---|
743 | for p in pars: |
---|
744 | valsdict[str(p)] = [] |
---|
745 | svalsdict[str(p)] = [] |
---|
746 | |
---|
747 | # "product" genereates each possible combination between the |
---|
748 | # values of the index keys |
---|
749 | for prod in product(*index_vals): |
---|
750 | # e.g. prod = ('20170505', '0', '12') |
---|
751 | # ( date ,time, step) |
---|
752 | |
---|
753 | print('CURRENT PRODUCT: ', prod) |
---|
754 | |
---|
755 | for i in range(len(index_keys)): |
---|
756 | codes_index_select(iid, index_keys[i], prod[i]) |
---|
757 | |
---|
758 | # get first id from current product |
---|
759 | gid = codes_new_from_index(iid) |
---|
760 | |
---|
761 | # if there is no data for this specific time combination / product |
---|
762 | # skip the rest of the for loop and start with next timestep/product |
---|
763 | if not gid: |
---|
764 | continue |
---|
765 | |
---|
766 | # create correct timestamp from the three time informations |
---|
767 | cdate = str(codes_get(gid, 'date')) |
---|
768 | ctime = '{:0>2}'.format(codes_get(gid, 'time')/100) |
---|
769 | cstep = '{:0>3}'.format(codes_get(gid, 'step')) |
---|
770 | t_date = datetime.strptime(cdate + ctime, '%Y%m%d%H') |
---|
771 | t_dt = t_date + timedelta(hours=int(cstep)) |
---|
772 | t_m1dt = t_date + timedelta(hours=int(cstep)-int(c.dtime)) |
---|
773 | t_m2dt = t_date + timedelta(hours=int(cstep)-2*int(c.dtime)) |
---|
774 | t_enddate = None |
---|
775 | |
---|
776 | if c.maxstep > 12: |
---|
777 | fnout = os.path.join(c.inputdir, 'flux' + |
---|
778 | t_date.strftime('%Y%m%d.%H') + |
---|
779 | '.{:0>3}'.format(step-2*int(c.dtime))) |
---|
780 | gnout = os.path.join(c.inputdir, 'flux' + |
---|
781 | t_date.strftime('%Y%m%d.%H') + |
---|
782 | '.{:0>3}'.format(step-int(c.dtime))) |
---|
783 | hnout = os.path.join(c.inputdir, 'flux' + |
---|
784 | t_date.strftime('%Y%m%d.%H') + |
---|
785 | '.{:0>3}'.format(step)) |
---|
786 | else: |
---|
787 | fnout = os.path.join(c.inputdir, 'flux' + |
---|
788 | t_m2dt.strftime('%Y%m%d%H')) |
---|
789 | gnout = os.path.join(c.inputdir, 'flux' + |
---|
790 | t_m1dt.strftime('%Y%m%d%H')) |
---|
791 | hnout = os.path.join(c.inputdir, 'flux' + |
---|
792 | t_dt.strftime('%Y%m%d%H')) |
---|
793 | |
---|
794 | print("outputfile = " + fnout) |
---|
795 | f_handle = open(fnout, 'w') |
---|
796 | h_handle = open(hnout, 'w') |
---|
797 | g_handle = open(gnout, 'w') |
---|
798 | |
---|
799 | # read message for message and store relevant data fields |
---|
800 | # data keywords are stored in pars |
---|
801 | while 1: |
---|
802 | if not gid: |
---|
803 | break |
---|
804 | cparamId = str(codes_get(gid, 'paramId')) |
---|
805 | step = codes_get(gid, 'step') |
---|
806 | time = codes_get(gid, 'time') |
---|
807 | ni = codes_get(gid, 'Ni') |
---|
808 | nj = codes_get(gid, 'Nj') |
---|
809 | if cparamId in valsdict.keys(): |
---|
810 | values = codes_get_values(gid) |
---|
811 | vdp = valsdict[cparamId] |
---|
812 | svdp = svalsdict[cparamId] |
---|
813 | |
---|
814 | if cparamId == '142' or cparamId == '143': |
---|
815 | fak = 1. / 1000. |
---|
816 | else: |
---|
817 | fak = 3600. |
---|
818 | |
---|
819 | values = (np.reshape(values, (nj, ni))).flatten() / fak |
---|
820 | vdp.append(values[:]) # save the accumulated values |
---|
821 | if c.marsclass.upper() == 'EA' or \ |
---|
822 | step <= int(c.dtime): |
---|
823 | svdp.append(values[:] / int(c.dtime)) |
---|
824 | else: # deaccumulate values |
---|
825 | svdp.append((vdp[-1] - vdp[-2]) / int(c.dtime)) |
---|
826 | |
---|
827 | print(cparamId, time, step, len(values), |
---|
828 | values[0], np.std(values)) |
---|
829 | |
---|
830 | # len(svdp) corresponds to the time |
---|
831 | if len(svdp) >= 3: |
---|
832 | if len(svdp) > 3: |
---|
833 | if cparamId == '142' or cparamId == '143': |
---|
834 | values = disaggregation.darain(svdp) |
---|
835 | else: |
---|
836 | values = disaggregation.dapoly(svdp) |
---|
837 | |
---|
838 | if not (step == c.maxstep and c.maxstep > 12 \ |
---|
839 | or t_dt == t_enddate): |
---|
840 | vdp.pop(0) |
---|
841 | svdp.pop(0) |
---|
842 | else: |
---|
843 | if c.maxstep > 12: |
---|
844 | values = svdp[1] |
---|
845 | else: |
---|
846 | values = svdp[0] |
---|
847 | |
---|
848 | codes_set_values(gid, values) |
---|
849 | |
---|
850 | if c.maxstep > 12: |
---|
851 | codes_set(gid, 'stepRange', max(0, step-2*int(c.dtime))) |
---|
852 | else: |
---|
853 | codes_set(gid, 'stepRange', 0) |
---|
854 | codes_set(gid, 'time', t_m2dt.hour*100) |
---|
855 | codes_set(gid, 'date', int(t_m2dt.strftime('%Y%m%d'))) |
---|
856 | |
---|
857 | codes_write(gid, f_handle) |
---|
858 | |
---|
859 | if c.basetime: |
---|
860 | t_enddate = datetime.strptime(c.end_date + |
---|
861 | c.basetime, |
---|
862 | '%Y%m%d%H') |
---|
863 | else: |
---|
864 | t_enddate = t_date + timedelta(2*int(c.dtime)) |
---|
865 | |
---|
866 | # squeeze out information of last two steps contained |
---|
867 | # in svdp |
---|
868 | # if step+int(c.dtime) == c.maxstep and c.maxstep>12 |
---|
869 | # or t_dt+timedelta(hours = int(c.dtime)) |
---|
870 | # >= t_enddate: |
---|
871 | # Note that svdp[0] has not been popped in this case |
---|
872 | |
---|
873 | if step == c.maxstep and c.maxstep > 12 or \ |
---|
874 | t_dt == t_enddate: |
---|
875 | |
---|
876 | values = svdp[3] |
---|
877 | codes_set_values(gid, values) |
---|
878 | codes_set(gid, 'stepRange', 0) |
---|
879 | truedatetime = t_m2dt + timedelta(hours= |
---|
880 | 2*int(c.dtime)) |
---|
881 | codes_set(gid, 'time', truedatetime.hour * 100) |
---|
882 | codes_set(gid, 'date', truedatetime.year * 10000 + |
---|
883 | truedatetime.month * 100 + |
---|
884 | truedatetime.day) |
---|
885 | codes_write(gid, h_handle) |
---|
886 | |
---|
887 | #values = (svdp[1]+svdp[2])/2. |
---|
888 | if cparamId == '142' or cparamId == '143': |
---|
889 | values = disaggregation.darain(list(reversed(svdp))) |
---|
890 | else: |
---|
891 | values = disaggregation.dapoly(list(reversed(svdp))) |
---|
892 | |
---|
893 | codes_set(gid, 'stepRange', 0) |
---|
894 | truedatetime = t_m2dt + timedelta(hours=int(c.dtime)) |
---|
895 | codes_set(gid, 'time', truedatetime.hour * 100) |
---|
896 | codes_set(gid, 'date', truedatetime.year * 10000 + |
---|
897 | truedatetime.month * 100 + |
---|
898 | truedatetime.day) |
---|
899 | codes_set_values(gid, values) |
---|
900 | codes_write(gid, g_handle) |
---|
901 | |
---|
902 | codes_release(gid) |
---|
903 | |
---|
904 | gid = codes_new_from_index(iid) |
---|
905 | |
---|
906 | f_handle.close() |
---|
907 | g_handle.close() |
---|
908 | h_handle.close() |
---|
909 | |
---|
910 | codes_index_release(iid) |
---|
911 | |
---|
912 | return |
---|
913 | |
---|
914 | |
---|
915 | def create(self, inputfiles, c): |
---|
916 | '''An index file will be created which depends on the combination |
---|
917 | of "date", "time" and "stepRange" values. This is used to iterate |
---|
918 | over all messages in each grib file which were passed through the |
---|
919 | parameter "inputfiles" to seperate specific parameters into fort.* |
---|
920 | files. Afterwards the FORTRAN program is called to convert |
---|
921 | the data fields all to the same grid and put them in one file |
---|
922 | per unique time step (combination of "date", "time" and |
---|
923 | "stepRange"). |
---|
924 | |
---|
925 | Note |
---|
926 | ---- |
---|
927 | This method is based on the ECMWF example index.py |
---|
928 | https://software.ecmwf.int/wiki/display/GRIB/index.py |
---|
929 | |
---|
930 | Parameters |
---|
931 | ---------- |
---|
932 | inputfiles : :obj:`UioFiles` |
---|
933 | Contains a list of files. |
---|
934 | |
---|
935 | c : :obj:`ControlFile` |
---|
936 | Contains all the parameters of CONTROL file and |
---|
937 | command line. |
---|
938 | |
---|
939 | Return |
---|
940 | ------ |
---|
941 | |
---|
942 | ''' |
---|
943 | |
---|
944 | if c.wrf: |
---|
945 | table128 = init128(_config.PATH_GRIBTABLE) |
---|
946 | wrfpars = to_param_id('sp/mslp/skt/2t/10u/10v/2d/z/lsm/sst/ci/sd/\ |
---|
947 | stl1/stl2/stl3/stl4/swvl1/swvl2/swvl3/swvl4', |
---|
948 | table128) |
---|
949 | |
---|
950 | # these numbers are indices for the temporary files "fort.xx" |
---|
951 | # which are used to seperate the grib fields to, |
---|
952 | # for the Fortran program input |
---|
953 | # 10: U,V | 11: T | 12: lnsp | 13: D | 16: sfc fields |
---|
954 | # 17: Q | 18: Q , gaussian| 19: w | 21: etadot | 22: clwc+ciwc |
---|
955 | fdict = {'10':None, '11':None, '12':None, '13':None, '16':None, |
---|
956 | '17':None, '18':None, '19':None, '21':None, '22':None} |
---|
957 | |
---|
958 | iid = None |
---|
959 | index_vals = None |
---|
960 | |
---|
961 | # get the values of the keys which are used for distinct access |
---|
962 | # of grib messages via product |
---|
963 | index_keys = ["date", "time", "step"] |
---|
964 | iid, index_vals = self._mk_index_values(c.inputdir, |
---|
965 | inputfiles, |
---|
966 | index_keys) |
---|
967 | # index_vals looks like e.g.: |
---|
968 | # index_vals[0]: ('20171106', '20171107', '20171108') ; date |
---|
969 | # index_vals[1]: ('0', '1200', '1800', '600') ; time |
---|
970 | # index_vals[2]: ('0', '12', '3', '6', '9') ; stepRange |
---|
971 | |
---|
972 | # "product" genereates each possible combination between the |
---|
973 | # values of the index keys |
---|
974 | for prod in product(*index_vals): |
---|
975 | # e.g. prod = ('20170505', '0', '12') |
---|
976 | # ( date ,time, step) |
---|
977 | |
---|
978 | print('current product: ', prod) |
---|
979 | |
---|
980 | for i in range(len(index_keys)): |
---|
981 | codes_index_select(iid, index_keys[i], prod[i]) |
---|
982 | |
---|
983 | # get first id from current product |
---|
984 | gid = codes_new_from_index(iid) |
---|
985 | |
---|
986 | # if there is no data for this specific time combination / product |
---|
987 | # skip the rest of the for loop and start with next timestep/product |
---|
988 | if not gid: |
---|
989 | continue |
---|
990 | |
---|
991 | # remove old fort.* files and open new ones |
---|
992 | # they are just valid for a single product |
---|
993 | for k, f in fdict.iteritems(): |
---|
994 | fortfile = os.path.join(c.inputdir, 'fort.' + k) |
---|
995 | silent_remove(fortfile) |
---|
996 | fdict[k] = open(fortfile, 'w') |
---|
997 | |
---|
998 | # create correct timestamp from the three time informations |
---|
999 | cdate = str(codes_get(gid, 'date')) |
---|
1000 | ctime = '{:0>2}'.format(codes_get(gid, 'time')/100) |
---|
1001 | cstep = '{:0>3}'.format(codes_get(gid, 'step')) |
---|
1002 | timestamp = datetime.strptime(cdate + ctime, '%Y%m%d%H') |
---|
1003 | timestamp += timedelta(hours=int(cstep)) |
---|
1004 | cdate_hour = datetime.strftime(timestamp, '%Y%m%d%H') |
---|
1005 | |
---|
1006 | # if the timestamp is out of basetime start/end date period, |
---|
1007 | # skip this specific product |
---|
1008 | if c.basetime: |
---|
1009 | start_time = datetime.strptime(c.end_date + c.basetime, |
---|
1010 | '%Y%m%d%H') - time_delta |
---|
1011 | end_time = datetime.strptime(c.end_date + c.basetime, |
---|
1012 | '%Y%m%d%H') |
---|
1013 | if timestamp < start_time or timestamp > end_time: |
---|
1014 | continue |
---|
1015 | |
---|
1016 | if c.wrf: |
---|
1017 | if 'olddate' not in locals() or cdate != olddate: |
---|
1018 | fwrf = open(os.path.join(c.outputdir, |
---|
1019 | 'WRF' + cdate + '.' + ctime + '.000.grb2'), 'w') |
---|
1020 | olddate = cdate[:] |
---|
1021 | |
---|
1022 | # savedfields remembers which fields were already used. |
---|
1023 | savedfields = [] |
---|
1024 | # sum of cloud liquid and ice water content |
---|
1025 | scwc = None |
---|
1026 | while 1: |
---|
1027 | if not gid: |
---|
1028 | break |
---|
1029 | paramId = codes_get(gid, 'paramId') |
---|
1030 | gridtype = codes_get(gid, 'gridType') |
---|
1031 | levtype = codes_get(gid, 'typeOfLevel') |
---|
1032 | if paramId == 77: # ETADOT |
---|
1033 | codes_write(gid, fdict['21']) |
---|
1034 | elif paramId == 130: # T |
---|
1035 | codes_write(gid, fdict['11']) |
---|
1036 | elif paramId == 131 or paramId == 132: # U, V wind component |
---|
1037 | codes_write(gid, fdict['10']) |
---|
1038 | elif paramId == 133 and gridtype != 'reduced_gg': # Q |
---|
1039 | codes_write(gid, fdict['17']) |
---|
1040 | elif paramId == 133 and gridtype == 'reduced_gg': # Q, gaussian |
---|
1041 | codes_write(gid, fdict['18']) |
---|
1042 | elif paramId == 135: # W |
---|
1043 | codes_write(gid, fdict['19']) |
---|
1044 | elif paramId == 152: # LNSP |
---|
1045 | codes_write(gid, fdict['12']) |
---|
1046 | elif paramId == 155 and gridtype == 'sh': # D |
---|
1047 | codes_write(gid, fdict['13']) |
---|
1048 | elif paramId == 246 or paramId == 247: # CLWC, CIWC |
---|
1049 | # sum cloud liquid water and ice |
---|
1050 | if scwc is None: |
---|
1051 | scwc = codes_get_values(gid) |
---|
1052 | else: |
---|
1053 | scwc += codes_get_values(gid) |
---|
1054 | codes_set_values(gid, scwc) |
---|
1055 | codes_set(gid, 'paramId', 201031) |
---|
1056 | codes_write(gid, fdict['22']) |
---|
1057 | elif c.wrf and paramId in [129, 138, 155] and \ |
---|
1058 | levtype == 'hybrid': # Z, VO, D |
---|
1059 | # do not do anything right now |
---|
1060 | # these are specific parameter for WRF |
---|
1061 | pass |
---|
1062 | else: |
---|
1063 | if paramId not in savedfields: |
---|
1064 | # SD/MSL/TCC/10U/10V/2T/2D/Z/LSM/SDOR/CVL/CVH/SR |
---|
1065 | # and all ADDPAR parameter |
---|
1066 | codes_write(gid, fdict['16']) |
---|
1067 | savedfields.append(paramId) |
---|
1068 | else: |
---|
1069 | print('duplicate ' + str(paramId) + ' not written') |
---|
1070 | |
---|
1071 | try: |
---|
1072 | if c.wrf: |
---|
1073 | # model layer |
---|
1074 | if levtype == 'hybrid' and \ |
---|
1075 | paramId in [129, 130, 131, 132, 133, 138, 155]: |
---|
1076 | codes_write(gid, fwrf) |
---|
1077 | # sfc layer |
---|
1078 | elif paramId in wrfpars: |
---|
1079 | codes_write(gid, fwrf) |
---|
1080 | except AttributeError: |
---|
1081 | pass |
---|
1082 | |
---|
1083 | codes_release(gid) |
---|
1084 | gid = codes_new_from_index(iid) |
---|
1085 | |
---|
1086 | for f in fdict.values(): |
---|
1087 | f.close() |
---|
1088 | |
---|
1089 | # call for Fortran program to convert e.g. reduced_gg grids to |
---|
1090 | # regular_ll and calculate detadot/dp |
---|
1091 | pwd = os.getcwd() |
---|
1092 | os.chdir(c.inputdir) |
---|
1093 | if os.stat('fort.21').st_size == 0 and c.eta: |
---|
1094 | print('Parameter 77 (etadot) is missing, most likely it is \ |
---|
1095 | not available for this type or date/time\n') |
---|
1096 | print('Check parameters CLASS, TYPE, STREAM, START_DATE\n') |
---|
1097 | my_error(c.mailfail, 'fort.21 is empty while parameter eta \ |
---|
1098 | is set to 1 in CONTROL file') |
---|
1099 | |
---|
1100 | # write out all output to log file before starting fortran programm |
---|
1101 | sys.stdout.flush() |
---|
1102 | |
---|
1103 | # Fortran program creates file fort.15 (with u,v,etadot,t,sp,q) |
---|
1104 | p = subprocess.check_call([os.path.join( |
---|
1105 | c.exedir, _config.FORTRAN_EXECUTABLE)], shell=True) |
---|
1106 | os.chdir(pwd) |
---|
1107 | |
---|
1108 | # create name of final output file, e.g. EN13040500 (ENYYMMDDHH) |
---|
1109 | if c.maxstep > 12: |
---|
1110 | suffix = cdate[2:8] + '.' + ctime + '.' + cstep |
---|
1111 | else: |
---|
1112 | suffix = cdate_hour[2:10] |
---|
1113 | fnout = os.path.join(c.inputdir, c.prefix + suffix) |
---|
1114 | print("outputfile = " + fnout) |
---|
1115 | # collect for final processing |
---|
1116 | self.outputfilelist.append(os.path.basename(fnout)) |
---|
1117 | |
---|
1118 | # create outputfile and copy all data from intermediate files |
---|
1119 | # to the outputfile (final GRIB input files for FLEXPART) |
---|
1120 | orolsm = os.path.basename(glob.glob(c.inputdir + |
---|
1121 | '/OG_OROLSM__SL.*.' + c.ppid + '*')[0]) |
---|
1122 | fluxfile = 'flux' + cdate[0:2] + suffix |
---|
1123 | if not c.cwc: |
---|
1124 | flist = ['fort.15', fluxfile, 'fort.16', orolsm] |
---|
1125 | else: |
---|
1126 | flist = ['fort.15', 'fort.22', fluxfile, 'fort.16', orolsm] |
---|
1127 | |
---|
1128 | with open(fnout, 'wb') as fout: |
---|
1129 | for f in flist: |
---|
1130 | shutil.copyfileobj(open(os.path.join(c.inputdir, f), 'rb'), |
---|
1131 | fout) |
---|
1132 | |
---|
1133 | if c.omega: |
---|
1134 | with open(os.path.join(c.outputdir, 'OMEGA'), 'wb') as fout: |
---|
1135 | shutil.copyfileobj(open(os.path.join(c.inputdir, 'fort.25'), |
---|
1136 | 'rb'), fout) |
---|
1137 | |
---|
1138 | if c.wrf: |
---|
1139 | fwrf.close() |
---|
1140 | |
---|
1141 | codes_index_release(iid) |
---|
1142 | |
---|
1143 | return |
---|
1144 | |
---|
1145 | |
---|
1146 | def process_output(self, c): |
---|
1147 | '''The grib files are postprocessed depending on the selection in |
---|
1148 | CONTROL file. The resulting files are moved to the output |
---|
1149 | directory if its not equal to the input directory. |
---|
1150 | The following modifications might be done if |
---|
1151 | properly switched in CONTROL file: |
---|
1152 | GRIB2 - Conversion to GRIB2 |
---|
1153 | ECTRANS - Transfer of files to gateway server |
---|
1154 | ECSTORAGE - Storage at ECMWF server |
---|
1155 | |
---|
1156 | Parameters |
---|
1157 | ---------- |
---|
1158 | c : :obj:`ControlFile` |
---|
1159 | Contains all the parameters of CONTROL file and |
---|
1160 | command line. |
---|
1161 | |
---|
1162 | Return |
---|
1163 | ------ |
---|
1164 | |
---|
1165 | ''' |
---|
1166 | |
---|
1167 | print('\n\nPostprocessing:\n Format: {}\n'.format(c.format)) |
---|
1168 | |
---|
1169 | if not c.ecapi: |
---|
1170 | print('ecstorage: {}\n ecfsdir: {}\n'. |
---|
1171 | format(c.ecstorage, c.ecfsdir)) |
---|
1172 | print('ectrans: {}\n gateway: {}\n destination: {}\n ' |
---|
1173 | .format(c.ectrans, c.gateway, c.destination)) |
---|
1174 | |
---|
1175 | print('Output filelist: ') |
---|
1176 | print(self.outputfilelist) |
---|
1177 | |
---|
1178 | for ofile in self.outputfilelist: |
---|
1179 | ofile = os.path.join(self.inputdir, ofile) |
---|
1180 | |
---|
1181 | if c.format.lower() == 'grib2': |
---|
1182 | p = subprocess.check_call(['codes_set', '-s', 'edition=2,', |
---|
1183 | 'productDefinitionTemplateNumber=8', |
---|
1184 | ofile, ofile + '_2']) |
---|
1185 | p = subprocess.check_call(['mv', ofile + '_2', ofile]) |
---|
1186 | |
---|
1187 | if c.ectrans and not c.ecapi: |
---|
1188 | p = subprocess.check_call(['ectrans', '-overwrite', '-gateway', |
---|
1189 | c.gateway, '-remote', c.destination, |
---|
1190 | '-source', ofile]) |
---|
1191 | |
---|
1192 | if c.ecstorage and not c.ecapi: |
---|
1193 | p = subprocess.check_call(['ecp', '-o', ofile, |
---|
1194 | os.path.expandvars(c.ecfsdir)]) |
---|
1195 | |
---|
1196 | if c.outputdir != c.inputdir: |
---|
1197 | p = subprocess.check_call(['mv', |
---|
1198 | os.path.join(c.inputdir, ofile), |
---|
1199 | c.outputdir]) |
---|
1200 | |
---|
1201 | return |
---|
1202 | |
---|
1203 | |
---|
1204 | def prepare_fp_files(self, c): |
---|
1205 | '''Conversion of GRIB files to FLEXPART binary format. |
---|
1206 | |
---|
1207 | Parameters |
---|
1208 | ---------- |
---|
1209 | c : :obj:`ControlFile` |
---|
1210 | Contains all the parameters of CONTROL file and |
---|
1211 | command line. |
---|
1212 | |
---|
1213 | Return |
---|
1214 | ------ |
---|
1215 | |
---|
1216 | ''' |
---|
1217 | # generate AVAILABLE file |
---|
1218 | # Example of AVAILABLE file data: |
---|
1219 | # 20131107 000000 EN13110700 ON DISC |
---|
1220 | clist = [] |
---|
1221 | for ofile in self.outputfilelist: |
---|
1222 | fname = ofile.split('/') |
---|
1223 | if '.' in fname[-1]: |
---|
1224 | l = fname[-1].split('.') |
---|
1225 | timestamp = datetime.strptime(l[0][-6:] + l[1], |
---|
1226 | '%y%m%d%H') |
---|
1227 | timestamp += timedelta(hours=int(l[2])) |
---|
1228 | cdate = datetime.strftime(timestamp, '%Y%m%d') |
---|
1229 | chms = datetime.strftime(timestamp, '%H%M%S') |
---|
1230 | else: |
---|
1231 | cdate = '20' + fname[-1][-8:-2] |
---|
1232 | chms = fname[-1][-2:] + '0000' |
---|
1233 | clist.append(cdate + ' ' + chms + ' '*6 + |
---|
1234 | fname[-1] + ' '*14 + 'ON DISC') |
---|
1235 | clist.sort() |
---|
1236 | with open(c.outputdir + '/' + 'AVAILABLE', 'w') as f: |
---|
1237 | f.write('\n'.join(clist) + '\n') |
---|
1238 | |
---|
1239 | # generate pathnames file |
---|
1240 | pwd = os.path.abspath(c.outputdir) |
---|
1241 | with open(pwd + '/pathnames', 'w') as f: |
---|
1242 | f.write(pwd + '/Options/\n') |
---|
1243 | f.write(pwd + '/\n') |
---|
1244 | f.write(pwd + '/\n') |
---|
1245 | f.write(pwd + '/AVAILABLE\n') |
---|
1246 | f.write(' = == = == = == = == = == == = \n') |
---|
1247 | |
---|
1248 | # create Options dir if necessary |
---|
1249 | if not os.path.exists(pwd + '/Options'): |
---|
1250 | make_dir(pwd+'/Options') |
---|
1251 | |
---|
1252 | # read template COMMAND file |
---|
1253 | with open(os.path.expandvars(os.path.expanduser( |
---|
1254 | c.flexpart_root_scripts)) + '/../Options/COMMAND', 'r') as f: |
---|
1255 | lflist = f.read().split('\n') |
---|
1256 | |
---|
1257 | # find index of list where to put in the |
---|
1258 | # date and time information |
---|
1259 | # usually after the LDIRECT parameter |
---|
1260 | i = 0 |
---|
1261 | for l in lflist: |
---|
1262 | if 'LDIRECT' in l.upper(): |
---|
1263 | break |
---|
1264 | i += 1 |
---|
1265 | |
---|
1266 | # insert the date and time information of run start and end |
---|
1267 | # into the list of lines of COMMAND file |
---|
1268 | lflist = lflist[:i+1] + \ |
---|
1269 | [clist[0][:16], clist[-1][:16]] + \ |
---|
1270 | lflist[i+3:] |
---|
1271 | |
---|
1272 | # write the new COMMAND file |
---|
1273 | with open(pwd + '/Options/COMMAND', 'w') as g: |
---|
1274 | g.write('\n'.join(lflist) + '\n') |
---|
1275 | |
---|
1276 | # change to outputdir and start the grib2flexpart run |
---|
1277 | # afterwards switch back to the working dir |
---|
1278 | os.chdir(c.outputdir) |
---|
1279 | p = subprocess.check_call([ |
---|
1280 | os.path.expandvars(os.path.expanduser(c.flexpart_root_scripts)) |
---|
1281 | + '/../FLEXPART_PROGRAM/grib2flexpart', 'useAvailable', '.']) |
---|
1282 | os.chdir(pwd) |
---|
1283 | |
---|
1284 | return |
---|