// *=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=* // ** Copyright UCAR (c) 1990 - 2016 // ** University Corporation for Atmospheric Research (UCAR) // ** National Center for Atmospheric Research (NCAR) // ** Boulder, Colorado, USA // ** BSD licence applies - redistribution and use in source and binary // ** forms, with or without modification, are permitted provided that // ** the following conditions are met: // ** 1) If the software is modified to produce derivative works, // ** such modified software should be clearly marked, so as not // ** to confuse it with the version available from UCAR. // ** 2) Redistributions of source code must retain the above copyright // ** notice, this list of conditions and the following disclaimer. // ** 3) Redistributions in binary form must reproduce the above copyright // ** notice, this list of conditions and the following disclaimer in the // ** documentation and/or other materials provided with the distribution. // ** 4) Neither the name of UCAR nor the names of its contributors, // ** if any, may be used to endorse or promote products derived from // ** this software without specific prior written permission. // ** DISCLAIMER: THIS SOFTWARE IS PROVIDED "AS IS" AND WITHOUT ANY EXPRESS // ** OR IMPLIED WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIED // ** WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. // *=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=* /********************************************************************* * MeanStatCalc: Class for calculating the mean statistic. * * RAP, NCAR, Boulder CO * * July 2004 * * Nancy Rehak * *********************************************************************/ #include #include #include using namespace std; /********************************************************************** * Constructor */ MeanStatCalc::MeanStatCalc(const bool debug_flag, const bool check_z_levels) : StatCalc(debug_flag, check_z_levels) { } /********************************************************************** * Destructor */ MeanStatCalc::~MeanStatCalc(void) { } /********************************************************************** * calcStatistic() - Calculate the statistic field using the given * information. */ MdvxField *MeanStatCalc::calcStatistic(const DsMdvx &climo_file, const MdvxField &data_field, const DateTime &climo_time) { // Construct the statistic field name string stat_field_name = data_field.getFieldHeader().field_name_long; // Extract the existing mean field from the climatolog file, if // there is one. If there is an existing field, we will update // the running mean. If there isn't an existing field, we will // create a new one. string climo_field_name = StatNamer::getStatFieldName(Mdvx::CLIMO_TYPE_MEAN, stat_field_name).substr(0, MDV_LONG_FIELD_LEN); MdvxField *curr_mean_field = climo_file.getField(climo_field_name.c_str()); MdvxField *new_mean_field = 0; if (curr_mean_field == 0) { if (_debug) cerr << " Creating " << climo_field_name << " statistic" << endl; new_mean_field = _createField(data_field, climo_time); } else { if (_debug) cerr << " Updating " << climo_field_name << " statistic" << endl; new_mean_field = _updateField(climo_file, data_field, *curr_mean_field); } return new_mean_field; } /********************************************************************** * Private Member Functions * **********************************************************************/ /********************************************************************* * _createField() - Create a new mean climatology field from the * given data field. * * Return the newly created field on success, 0 on failure. */ MdvxField *MeanStatCalc::_createField(const MdvxField &data_field, const DateTime &climo_time) const { static const string method_name = "MeanStatCalc::_createField()"; // Create the field header Mdvx::field_header_t field_hdr = data_field.getFieldHeader();; field_hdr.forecast_delta = 0; field_hdr.forecast_time = climo_time.utime(); field_hdr.compression_type = Mdvx::COMPRESSION_NONE; STRcopy(field_hdr.field_name_long, StatNamer::getStatFieldName(Mdvx::CLIMO_TYPE_MEAN, field_hdr.field_name_long).c_str(), MDV_LONG_FIELD_LEN); STRcopy(field_hdr.field_name, StatNamer::getStatFieldName(Mdvx::CLIMO_TYPE_MEAN, field_hdr.field_name).c_str(), MDV_SHORT_FIELD_LEN); return new MdvxField(field_hdr, data_field.getVlevelHeader(), data_field.getVol()); } /********************************************************************* * _updateField() - Create a new mean climatology field that is an * update of the current mean field using the given * information. * * Return the newly created field on success, 0 on failure. */ MdvxField *MeanStatCalc::_updateField(const DsMdvx &climo_file, const MdvxField &data_field, const MdvxField &curr_mean_field) const { static const string method_name = "MeanStatCalc::_updateField()"; // Make sure that the current mean field and the new data field // match. We can assume that all of the climo fields are consistent // so we don't need to check any other part of the climo file. if (!_fieldsMatch(data_field, curr_mean_field)) return 0; // To calculate the new mean, we need the current mean and the // current number of observations. The current mean field is // already given. Mdvx::field_header_t data_field_hdr = data_field.getFieldHeader(); string num_obs_field_name = StatNamer::getStatFieldName(Mdvx::CLIMO_TYPE_NUM_OBS, data_field_hdr.field_name_long).substr(0, MDV_LONG_FIELD_LEN); MdvxField *num_obs_field = climo_file.getField(num_obs_field_name.c_str()); if (num_obs_field == 0) { cerr << "ERROR: " << method_name << endl; cerr << "Error extracting num obs field (" << num_obs_field_name << ") from climo file" << endl; return 0; } // Create the new climo field as a copy of the current one. MdvxField *new_mean_field = new MdvxField(curr_mean_field); // Update the mean values in the new field. Mdvx::field_header_t num_obs_field_hdr = num_obs_field->getFieldHeader(); fl32 *mean_vol = (fl32 *)new_mean_field->getVol(); fl32 *num_obs_vol = (fl32 *)num_obs_field->getVol(); fl32 *data_vol = (fl32 *)data_field.getVol(); int vol_size = data_field_hdr.nx * data_field_hdr.ny * data_field_hdr.nz; for (int i = 0; i < vol_size; ++i) { if (data_vol[i] == data_field_hdr.missing_data_value || data_vol[i] == data_field_hdr.bad_data_value) continue; if (num_obs_vol[i] <= 0 || num_obs_vol[i] == num_obs_field_hdr.missing_data_value || num_obs_vol[i] == num_obs_field_hdr.bad_data_value) { mean_vol[i] = data_vol[i]; } else { double prev_total = mean_vol[i] * num_obs_vol[i]; mean_vol[i] = (prev_total + data_vol[i]) / (num_obs_vol[i] + 1.0); } } /* endfor - i */ return new_mean_field; }