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The NetCDF-Java Library is a Java interface to NetCDF files, as well as to many other types of scientific data formats.

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/*
 * Copyright 1998-2009 University Corporation for Atmospheric Research/Unidata
 *
 * Portions of this software were developed by the Unidata Program at the
 * University Corporation for Atmospheric Research.
 *
 * Access and use of this software shall impose the following obligations
 * and understandings on the user. The user is granted the right, without
 * any fee or cost, to use, copy, modify, alter, enhance and distribute
 * this software, and any derivative works thereof, and its supporting
 * documentation for any purpose whatsoever, provided that this entire
 * notice appears in all copies of the software, derivative works and
 * supporting documentation.  Further, UCAR requests that the user credit
 * UCAR/Unidata in any publications that result from the use of this
 * software or in any product that includes this software. The names UCAR
 * and/or Unidata, however, may not be used in any advertising or publicity
 * to endorse or promote any products or commercial entity unless specific
 * written permission is obtained from UCAR/Unidata. The user also
 * understands that UCAR/Unidata is not obligated to provide the user with
 * any support, consulting, training or assistance of any kind with regard
 * to the use, operation and performance of this software nor to provide
 * the user with any updates, revisions, new versions or "bug fixes."
 *
 * THIS SOFTWARE IS PROVIDED BY UCAR/UNIDATA "AS IS" AND ANY EXPRESS OR
 * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL UCAR/UNIDATA BE LIABLE FOR ANY SPECIAL,
 * INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING
 * FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT,
 * NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION
 * WITH THE ACCESS, USE OR PERFORMANCE OF THIS SOFTWARE.
 */
package ucar.nc2.dataset.conv;

import ucar.nc2.*;
import ucar.nc2.constants.CDM;
import ucar.nc2.constants._Coordinate;
import ucar.nc2.constants.AxisType;
import ucar.nc2.constants.CF;
import ucar.nc2.time.CalendarDate;
import ucar.nc2.time.CalendarDateUnit;
import ucar.nc2.units.SimpleUnit;
import ucar.nc2.util.CancelTask;
import ucar.nc2.dataset.*;
import ucar.ma2.Array;
import ucar.ma2.IndexIterator;
import ucar.ma2.DataType;

import java.util.*;
import java.io.IOException;

/**
 * CF-1 Convention.
 * see http://www.cgd.ucar.edu/cms/eaton/cf-metadata/index.html
 * 

* * "The CF conventions for climate and forecast metadata are designed to promote the * processing and sharing of files created with the netCDF API. The conventions define * metadata that provide a definitive description of what the data in each variable * represents, and of the spatial and temporal properties of the data. * This enables users of data from different sources to decide which quantities are * comparable, and facilitates building applications with powerful extraction, regridding, * and display capabilities." * * * @author caron */ public class CF1Convention extends CSMConvention { private static final String convName = "CF-1."; /** * Get which CF version this is, ie CF-1.x * @param hasName extract from convention name or list of names * @return version, or 0 if not CF */ public static int getVersion(String hasName) { int result = extractVersion(hasName); if (result > 0) return result; List names = breakupConventionNames(hasName); for (String name : names) { result = extractVersion(name); if (result > 0) return result; } return 0; } private static int extractVersion(String hasName) { if (!hasName.startsWith(convName)) return 0; String versionS = hasName.substring(convName.length()); try { return Integer.parseInt(versionS); } catch (Exception e) { return 0; } } /** * Guess the value of ZisPositive based on z axis name and units * * @param zaxisName z coordinate axis name * @param vertCoordUnits z coordinate axis name * @return CF.POSITIVE_UP or CF.POSITIVE_DOWN */ public static String getZisPositive(String zaxisName, String vertCoordUnits) { if (vertCoordUnits == null) return CF.POSITIVE_UP; if (SimpleUnit.isCompatible("millibar", vertCoordUnits)) return CF.POSITIVE_DOWN; if (SimpleUnit.isCompatible("m", vertCoordUnits)) return CF.POSITIVE_UP; // dunno - make it up return CF.POSITIVE_UP; } private static final String[] vertical_coords = { "atmosphere_sigma_coordinate", "atmosphere_hybrid_sigma_pressure_coordinate", "atmosphere_hybrid_height_coordinate", "atmosphere_sleve_coordinate", "ocean_sigma_coordinate", "ocean_s_coordinate", "ocean_sigma_z_coordinate", "ocean_double_sigma_coordinate", "ocean_s_coordinate_g1", // -sachin 03/25/09 "ocean_s_coordinate_g2"}; public CF1Convention() { this.conventionName = "CF-1.X"; } public void augmentDataset(NetcdfDataset ds, CancelTask cancelTask) throws IOException { boolean got_grid_mapping = false; // look for transforms List vars = ds.getVariables(); for (Variable v : vars) { // look for special standard_names String sname = ds.findAttValueIgnoreCase(v, CF.STANDARD_NAME, null); if (sname != null) { sname = sname.trim(); if (sname.equalsIgnoreCase("atmosphere_ln_pressure_coordinate")) { // LOOK why isnt this with other Transforms? makeAtmLnCoordinate(ds, v); continue; } if (sname.equalsIgnoreCase("forecast_reference_time")) { // experimental v.addAttribute(new Attribute(_Coordinate.AxisType, AxisType.RunTime.toString())); continue; } if (sname.equalsIgnoreCase("ensemble")) { // experimental v.addAttribute(new Attribute(_Coordinate.AxisType, AxisType.Ensemble.toString())); continue; } for (String vertical_coord : vertical_coords) if (sname.equalsIgnoreCase(vertical_coord)) { v.addAttribute(new Attribute(_Coordinate.TransformType, TransformType.Vertical.toString())); if (v.findAttribute(_Coordinate.Axes) == null) v.addAttribute(new Attribute(_Coordinate.Axes, v.getFullName())); // LOOK: may also be time dependent } } // look for horiz transforms. only ones that are referenced by another variable. String grid_mapping = ds.findAttValueIgnoreCase(v, CF.GRID_MAPPING, null); if (grid_mapping != null) { Variable gridMap = ds.findVariable(grid_mapping); if (gridMap == null) { Group g = v.getParentGroup(); // might be group reletive - CF does not specify gridMap = g.findVariable(grid_mapping); } if (gridMap != null) { gridMap.addAttribute(new Attribute(_Coordinate.TransformType, TransformType.Projection.toString())); gridMap.addAttribute(new Attribute(_Coordinate.AxisTypes, "GeoX GeoY")); got_grid_mapping = true; } } } if (!got_grid_mapping) { // see if there are any grid mappings anyway for (Variable v : ds.getVariables()) { String grid_mapping_name = ds.findAttValueIgnoreCase(v, CF.GRID_MAPPING_NAME, null); if (grid_mapping_name != null) { v.addAttribute(new Attribute(_Coordinate.TransformType, TransformType.Projection.toString())); v.addAttribute(new Attribute(_Coordinate.AxisTypes, "GeoX GeoY")); } } } // make corrections for specific datasets String src = ds.findAttValueIgnoreCase(null, "Source", ""); if (src.equals("NOAA/National Climatic Data Center")) { String title = ds.findAttValueIgnoreCase(null, "title", ""); avhrr_oiv2 = title.indexOf("OI-V2") > 0; } ds.finish(); } private boolean avhrr_oiv2 = false; // this is here because it doesnt fit into 3D array thing. private void makeAtmLnCoordinate(NetcdfDataset ds, Variable v) { // get the formula attribute String formula = ds.findAttValueIgnoreCase(v, "formula_terms", null); if (null == formula) { String msg = " Need attribute 'formula_terms' on Variable " + v.getFullName() + "\n"; parseInfo.format(msg); userAdvice.format(msg); return; } // parse the formula string Variable p0Var = null, levelVar = null; StringTokenizer stoke = new StringTokenizer(formula, " :"); while (stoke.hasMoreTokens()) { String toke = stoke.nextToken(); if (toke.equalsIgnoreCase("p0")) { String name = stoke.nextToken(); p0Var = ds.findVariable(name); } else if (toke.equalsIgnoreCase("lev")) { String name = stoke.nextToken(); levelVar = ds.findVariable(name); } } if (null == p0Var) { String msg = " Need p0:varName on Variable " + v.getFullName() + " formula_terms\n"; parseInfo.format(msg); userAdvice.format(msg); return; } if (null == levelVar) { String msg = " Need lev:varName on Variable " + v.getFullName() + " formula_terms\n"; parseInfo.format(msg); userAdvice.format(msg); return; } String units = ds.findAttValueIgnoreCase(p0Var, CDM.UNITS, "hPa"); // create the data and the variable try { // p(k) = p0 * exp(-lev(k)) double p0 = p0Var.readScalarDouble(); Array levelData = levelVar.read(); Array pressureData = Array.factory(double.class, levelData.getShape()); IndexIterator ii = levelData.getIndexIterator(); IndexIterator iip = pressureData.getIndexIterator(); while (ii.hasNext()) { double val = p0 * Math.exp(-1.0 * ii.getDoubleNext()); iip.setDoubleNext(val); } CoordinateAxis1D p = new CoordinateAxis1D(ds, null, v.getShortName() + "_pressure", DataType.DOUBLE, levelVar.getDimensionsString(), units, "Vertical Pressure coordinate synthesized from atmosphere_ln_pressure_coordinate formula"); p.setCachedData(pressureData, false); p.addAttribute(new Attribute(_Coordinate.AxisType, AxisType.Pressure.toString())); p.addAttribute(new Attribute(_Coordinate.AliasForDimension, p.getDimensionsString())); ds.addVariable(null, p); //Dimension d = p.getDimension(0); //d.addCoordinateVariable(p); parseInfo.format(" added Vertical Pressure coordinate %s\n", p.getFullName()); } catch (IOException e) { String msg = " Unable to read variables from " + v.getFullName() + " formula_terms\n"; parseInfo.format(msg); userAdvice.format(msg); } } /* vertical coordinate will be identifiable by: 1. units of pressure; or 2. the presence of the positive attribute with a value of up or down (case insensitive). 3. Optionally, the vertical type may be indicated additionally by providing the standard_name attribute with an appropriate value, and/or the axis attribute with the value Z. */ // we assume that coordinate axes get identified by // 1) being coordinate variables or // 2) being listed in coordinates attribute. /** * Augment CSM axis type identification with "projection_x_coordinate", "projection_y_coordinate" * and the various dimensionless vertical coordinates */ protected AxisType getAxisType(NetcdfDataset ncDataset, VariableEnhanced v) { String sname = ncDataset.findAttValueIgnoreCase((Variable) v, CF.STANDARD_NAME, null); if (sname != null) { sname = sname.trim(); if (sname.equalsIgnoreCase("latitude")) return AxisType.Lat; if (sname.equalsIgnoreCase("longitude")) return AxisType.Lon; if (sname.equalsIgnoreCase("projection_x_coordinate") || sname.equalsIgnoreCase("grid_longitude") || sname.equalsIgnoreCase("rotated_longitude")) return AxisType.GeoX; if (sname.equalsIgnoreCase("projection_y_coordinate") || sname.equalsIgnoreCase("grid_latitude") || sname.equalsIgnoreCase("rotated_latitude")) return AxisType.GeoY; for (String vertical_coord : vertical_coords) if (sname.equalsIgnoreCase(vertical_coord)) return AxisType.GeoZ; } AxisType at = super.getAxisType(ncDataset, v); // check axis attribute - only for X, Y, Z if (at == null) { String axis = ncDataset.findAttValueIgnoreCase((Variable) v, CF.AXIS, null); if (axis != null) { axis = axis.trim(); String unit = v.getUnitsString(); if (axis.equalsIgnoreCase("X")) { if (SimpleUnit.isCompatible("m", unit)) return AxisType.GeoX; } else if (axis.equalsIgnoreCase("Y")) { if (SimpleUnit.isCompatible("m", unit)) return AxisType.GeoY; } else if (axis.equalsIgnoreCase("Z")) { if (unit == null) return AxisType.GeoZ; if (SimpleUnit.isCompatible("m", unit)) return AxisType.Height; else if (SimpleUnit.isCompatible("mbar", unit)) return AxisType.Pressure; else return AxisType.GeoZ; } } } if ((at == null) && avhrr_oiv2) { if (v.getShortName().equals("zlev")) return AxisType.Height; } if (at == null) { try { String units = v.getUnitsString(); CalendarDateUnit cd = CalendarDateUnit.of(null, units); if (cd != null) return AxisType.Time; } catch (Throwable t) { // pass through } } return at; } }





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