ucar.ma2.ArrayDouble Java Examples
The following examples show how to use
ucar.ma2.ArrayDouble.
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Example #1
Source File: WRFEta.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 6 votes |
/** * Get the 1D vertical coordinate array for this time step and point * * @param timeIndex the time index. Ignored if !isTimeDependent(). * @param xIndex the x index * @param yIndex the y index * @return vertical coordinate array * @throws java.io.IOException problem reading data * @throws ucar.ma2.InvalidRangeException _more_ */ public D1 getCoordinateArray1D(int timeIndex, int xIndex, int yIndex) throws IOException, InvalidRangeException { ArrayDouble.D3 data = getCoordinateArray(timeIndex); int[] origin = new int[3]; int[] shape = new int[3]; origin[0] = 0; origin[1] = yIndex; origin[2] = xIndex; shape[0] = data.getShape()[0]; shape[1] = 1; shape[2] = 1; Array tmp = data.section(origin, shape); return (ArrayDouble.D1) tmp.reduce(); }
Example #2
Source File: AtmosSigma.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 6 votes |
/** * Get the 3D vertical coordinate array for this time step. * * @param timeIndex the time index. Ignored if !isTimeDependent(). * @return vertical coordinate array * @throws IOException problem reading data * @throws InvalidRangeException _more_ */ public ArrayDouble.D3 getCoordinateArray(int timeIndex) throws IOException, InvalidRangeException { Array ps = readArray(psVar, timeIndex); Index psIndex = ps.getIndex(); int nz = sigma.length; int[] shape2D = ps.getShape(); int ny = shape2D[0]; int nx = shape2D[1]; ArrayDouble.D3 result = new ArrayDouble.D3(nz, ny, nx); for (int y = 0; y < ny; y++) { for (int x = 0; x < nx; x++) { double psVal = ps.getDouble(psIndex.set(y, x)); for (int z = 0; z < nz; z++) { result.set(z, y, x, ptop + sigma[z] * (psVal - ptop)); } } } return result; }
Example #3
Source File: AtmosSigma.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 6 votes |
/** * Get the 1D vertical coordinate array for this time step and point * * (needds test!!!) * * @param timeIndex the time index. Ignored if !isTimeDependent(). * @param xIndex the x index * @param yIndex the y index * @return vertical coordinate array * @throws java.io.IOException problem reading data * @throws ucar.ma2.InvalidRangeException _more_ */ public D1 getCoordinateArray1D(int timeIndex, int xIndex, int yIndex) throws IOException, InvalidRangeException { Array ps = readArray(psVar, timeIndex); Index psIndex = ps.getIndex(); int nz = sigma.length; ArrayDouble.D1 result = new ArrayDouble.D1(nz); double psVal = ps.getDouble(psIndex.set(yIndex, xIndex)); for (int z = 0; z < nz; z++) { result.set(z, ptop + sigma[z] * (psVal - ptop)); } return result; }
Example #4
Source File: FmrcDataset.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 6 votes |
private VariableDS makeOffsetCoordinate(NetcdfDataset result, Group group, String dimName, CalendarDate base, double[] values) { DataType dtype = DataType.DOUBLE; VariableDS timeVar = new VariableDS(result, group, null, dimName + "_offset", dtype, dimName, null, null); // LOOK // could // just // make a // CoordinateAxis1D timeVar.addAttribute(new Attribute(CDM.LONG_NAME, "offset hour from start of run for coordinate = " + dimName)); timeVar.addAttribute(new ucar.nc2.Attribute("standard_name", "forecast_period")); timeVar.addAttribute(new ucar.nc2.Attribute(CF.CALENDAR, base.getCalendar().name())); timeVar.addAttribute(new ucar.nc2.Attribute(CDM.UNITS, "hours since " + base)); timeVar.addAttribute(new ucar.nc2.Attribute(CDM.MISSING_VALUE, Double.NaN)); // construct the values int ntimes = values.length; ArrayDouble.D1 timeCoordVals = (ArrayDouble.D1) Array.factory(DataType.DOUBLE, new int[] {ntimes}, values); timeVar.setCachedData(timeCoordVals); group.addVariable(timeVar); return timeVar; }
Example #5
Source File: WriterCFPointDataset.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 5 votes |
private int writeCoordinates(double lat, double lon, double alt, Date time) { int count = 0; // time ArrayDouble.D0 tdata = new ArrayDouble.D0(); double secs = (double) (time.getTime() / 1000.); tdata.set(secs); Variable v = recordVars.get(count++); v.setCachedData(tdata, false); // lat ArrayDouble.D0 latData = new ArrayDouble.D0(); latData.set(lat); v = recordVars.get(count++); v.setCachedData(latData, false); // lon ArrayDouble.D0 lonData = new ArrayDouble.D0(); lonData.set(lon); v = recordVars.get(count++); v.setCachedData(lonData, false); // alt if (useAlt) { ArrayDouble.D0 altData = new ArrayDouble.D0(); altData.set(alt); v = recordVars.get(count++); v.setCachedData(altData, false); } return count; }
Example #6
Source File: VerticalTransformSubset.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 5 votes |
public ArrayDouble.D3 getCoordinateArray(int subsetIndex) throws IOException, InvalidRangeException { int orgIndex = subsetIndex; if (isTimeDependent() && (t_range != null)) { orgIndex = t_range.element(subsetIndex); } ArrayDouble.D3 data = original.getCoordinateArray(orgIndex); return (ArrayDouble.D3) data.sectionNoReduce(subsetList); }
Example #7
Source File: TestDtWithCoverageReadingP.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 5 votes |
private static void readAllRuntimes(Coverage cover, GridDatatype dt, CoordinateAxis1DTime runtimeAxis, CoordinateAxis1D ensAxis, CoordinateAxis1D vertAxis) { GridCoordSystem csys = dt.getCoordinateSystem(); CoordinateAxis1DTime timeAxis1D = csys.getTimeAxis1D(); CoordinateAxis timeAxis = csys.getTimeAxis(); CoordinateAxis2D timeAxis2D = (timeAxis instanceof CoordinateAxis2D) ? (CoordinateAxis2D) timeAxis : null; if (runtimeAxis == null) readAllTimes1D(cover, dt, null, -1, timeAxis1D, ensAxis, vertAxis); else if (timeAxis2D == null) { // 1D time or no time for (int i = 0; i < runtimeAxis.getSize(); i++) readAllTimes1D(cover, dt, runtimeAxis.getCalendarDate(i), i, timeAxis1D, ensAxis, vertAxis); } else { // 2D time TimeHelper helper = TimeHelper.factory(timeAxis.getUnitsString(), timeAxis.attributes()); if (timeAxis2D.isInterval()) { ArrayDouble.D3 bounds = timeAxis2D.getCoordBoundsArray(); for (int i = 0; i < runtimeAxis.getSize(); i++) readAllTimes2D(cover, dt, runtimeAxis.getCalendarDate(i), i, helper, bounds.slice(0, i), ensAxis, vertAxis); } else { ArrayDouble.D2 coords = timeAxis2D.getCoordValuesArray(); for (int i = 0; i < runtimeAxis.getSize(); i++) readAllTimes2D(cover, dt, runtimeAxis.getCalendarDate(i), i, helper, coords.slice(0, i), ensAxis, vertAxis); } } }
Example #8
Source File: FmrcDataset.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 5 votes |
private VariableDS makeRunTimeCoordinate(NetcdfDataset result, Group group, String dimName, CalendarDate base, double[] values) { DataType dtype = DataType.DOUBLE; VariableDS timeVar = new VariableDS(result, group, null, dimName + "_run", dtype, dimName, null, null); // LOOK // could // just make // a // CoordinateAxis1D timeVar.addAttribute(new Attribute(CDM.LONG_NAME, "run times for coordinate = " + dimName)); timeVar.addAttribute(new ucar.nc2.Attribute("standard_name", "forecast_reference_time")); timeVar.addAttribute(new ucar.nc2.Attribute(CF.CALENDAR, base.getCalendar().name())); // timeVar.addAttribute(new ucar.nc2.Attribute(CDM.UNITS, "hours since " + base)); timeVar.addAttribute(new ucar.nc2.Attribute(CDM.UNITS, "hours since " + base.getTimeUnits())); timeVar.addAttribute(new ucar.nc2.Attribute(CDM.MISSING_VALUE, Double.NaN)); timeVar.addAttribute(new ucar.nc2.Attribute(_Coordinate.AxisType, AxisType.RunTime.toString())); // if theres // already a time // coord, dont put // in coordSys - // too complicated // construct the values int ntimes = values.length; ArrayDouble.D1 timeCoordVals = (ArrayDouble.D1) Array.factory(DataType.DOUBLE, new int[] {ntimes}, values); timeVar.setCachedData(timeCoordVals); group.addVariable(timeVar); return timeVar; }
Example #9
Source File: M3IOConvention.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 5 votes |
private void makeZCoordAxis(String dimName, String levelsName, String unitName) { Dimension dimz = rootGroup.findDimension(dimName).get(); int nz = dimz.getLength(); ArrayDouble.D1 dataLev = new ArrayDouble.D1(nz); ArrayDouble.D1 dataLayers = new ArrayDouble.D1(nz + 1); // layer values are a numeric global attribute array !! Attribute layers = rootGroup.getAttributeContainer().findAttribute(levelsName); for (int i = 0; i <= nz; i++) dataLayers.set(i, layers.getNumericValue(i).doubleValue()); for (int i = 0; i < nz; i++) { double midpoint = (dataLayers.get(i) + dataLayers.get(i + 1)) / 2; dataLev.set(i, midpoint); } CoordinateAxis.Builder v = CoordinateAxis1D.builder().setName("level").setDataType(DataType.DOUBLE) .setParentGroupBuilder(rootGroup).setDimensionsByName(dimName).setUnits(unitName) .setDesc("synthesized coordinate from " + levelsName + " global attributes"); v.setCachedData(dataLev, true); v.addAttribute(new Attribute("positive", "down")); v.addAttribute(new Attribute(_Coordinate.AxisType, AxisType.GeoZ.toString())); // layer edges String edge_name = "layer"; Dimension lay_edge = new Dimension(edge_name, nz + 1); rootGroup.addDimension(lay_edge); CoordinateAxis.Builder vedge = CoordinateAxis1D.builder().setName(edge_name).setDataType(DataType.DOUBLE) .setParentGroupBuilder(rootGroup).setDimensionsByName(edge_name).setUnits(unitName) .setDesc("synthesized coordinate from " + levelsName + " global attributes"); vedge.setCachedData(dataLayers, true); v.setBoundary(edge_name); datasetBuilder.replaceCoordinateAxis(rootGroup, v); datasetBuilder.replaceCoordinateAxis(rootGroup, vedge); }
Example #10
Source File: WRFEta.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 4 votes |
/** * Get the 3D vertical coordinate array for this time step. * * @param timeIndex the time index. Ignored if !isTimeDependent(). * @return vertical coordinate array * @throws IOException problem reading data */ public ArrayDouble.D3 getCoordinateArray(int timeIndex) throws IOException { ArrayDouble.D3 array; Array pertArray = getTimeSlice(pertVar, timeIndex); Array baseArray = getTimeSlice(baseVar, timeIndex); // ADD: use MAMath? // ADD: use IndexIterator from getIndexIteratorFast? int[] shape = pertArray.getShape(); // ADD: assert that rank = 3 // ADD: assert that both arrays are same shape int ni = shape[0]; int nj = shape[1]; int nk = shape[2]; array = new ArrayDouble.D3(ni, nj, nk); Index index = array.getIndex(); for (int i = 0; i < ni; i++) { for (int j = 0; j < nj; j++) { for (int k = 0; k < nk; k++) { index.set(i, j, k); double d = pertArray.getDouble(index) + baseArray.getDouble(index); if (isZStag) { d = d / 9.81; // convert geopotential to height } array.setDouble(index, d); } } } if (isXStag) { array = addStagger(array, 2); // assuming x dim index is 2 } if (isYStag) { array = addStagger(array, 1); // assuming y dim index is 1 } return array; }
Example #11
Source File: NetcdfDataObject.java From OpenDA with GNU Lesser General Public License v3.0 | 4 votes |
/** * Writes all data for the given exchangeItems to the given netcdfFile. * Only executed when this.lazyWriting = true * * @param netcdfFileWriter * @param exchangeItems to write. */ //TODO remove. This is only used for SWAN state files (see SwanStateNetcdfFileTest.testSwanNetcdfStateFile_1). AK private void writeData(NetcdfFileWriter netcdfFileWriter, List<IExchangeItem> exchangeItems) { for (IExchangeItem exchangeItem : exchangeItems){ if (exchangeItem.getGeometryInfo() == null){ //TODO Julius: please remove this hack for SWAN state files. AK //TODO: replace this SWAN specific implementation with the above generic ones. String exchangeItemId = exchangeItem.getId(); //TODO: add netcdf writers for various data type / exchangeitems. //For SWAN state file, only wave_spectrum is modified and rewritten. if (exchangeItemId.equalsIgnoreCase("wave_spectrum")){ double[] dblValues = exchangeItem.getValuesAsDoubles(); int my=31; int mx=61; int wave_frequency=25; int wave_direction=18; // get dimensions: // TODO: in the future, dimensions should be available in the exchangeItem as part of meta data // This will avoid having to read the netcdf file for obtaining the dimensions. List<Dimension> dimensions = netcdfFileWriter.getNetcdfFile().getDimensions(); int nDim = dimensions.size(); for (Dimension dimension : dimensions) { if ("my".equalsIgnoreCase(dimension.getShortName())) { my = dimension.getLength(); } else if ("mx".equalsIgnoreCase(dimension.getShortName())) { mx = dimension.getLength(); } else if ("wave_frequency".equalsIgnoreCase(dimension.getShortName())) { wave_frequency = dimension.getLength(); } else if ("wave_direction".equalsIgnoreCase(dimension.getShortName())) { wave_direction = dimension.getLength(); } else { continue; } } ArrayDouble.D4 values = new ArrayDouble.D4(my,mx,wave_frequency,wave_direction); int iVal = 0; for (int iy=0; iy<my; iy++){ for (int ix=0; ix<mx; ix++){ for (int iwf=0; iwf<wave_frequency; iwf++){ for (int iwd=0; iwd<wave_direction; iwd++){ values.set(iy,ix,iwf,iwd,dblValues[iVal]); iVal++; } } } } try { Variable myVar = netcdfFileWriter.findVariable("wave_spectrum"); netcdfFileWriter.write(myVar,values); } catch (IOException | InvalidRangeException e) { e.printStackTrace(); //To change body of catch statement use File | Settings | File Templates. } } } } }
Example #12
Source File: WRFConvention.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 4 votes |
@Nullable private CoordinateAxis.Builder makeZCoordAxis(String axisName, String dimName) { Optional<Dimension> dimOpt = rootGroup.findDimension(dimName); if (!dimOpt.isPresent()) { return null; } Dimension dim = dimOpt.get(); String fromWhere = axisName.endsWith("stag") ? "ZNW" : "ZNU"; CoordinateAxis.Builder v = CoordinateAxis1D.builder().setName(axisName).setDataType(DataType.DOUBLE).setParentGroupBuilder(rootGroup) .setDimensionsByName(dim.getShortName()).setUnits("").setDesc("eta values from variable " + fromWhere); v.addAttribute(new Attribute(CF.POSITIVE, CF.POSITIVE_DOWN)); // eta coordinate is 1.0 at bottom, 0 at top v.setAxisType(AxisType.GeoZ); v.addAttribute(new Attribute(_Coordinate.AxisType, "GeoZ")); if (!axisName.equals(dim.getShortName())) v.addAttribute(new Attribute(_Coordinate.AliasForDimension, dim.getShortName())); // create eta values from file variables: ZNU, ZNW // But they are a function of time though the values are the same in the sample file // NOTE: Use first time sample assuming all are the same!! Optional<Variable.Builder<?>> etaVarOpt = rootGroup.findVariableLocal(fromWhere); if (!etaVarOpt.isPresent()) { return makeFakeCoordAxis(axisName, dim); } else { VariableDS.Builder<?> etaVarDS = (VariableDS.Builder<?>) etaVarOpt.get(); Variable etaVar = etaVarDS.orgVar; int n = etaVar.getShape(1); // number of eta levels int[] origin = {0, 0}; int[] shape = {1, n}; try { Array array = etaVar.read(origin, shape);// read first time slice ArrayDouble.D1 newArray = new ArrayDouble.D1(n); IndexIterator it = array.getIndexIterator(); int count = 0; while (it.hasNext()) { double d = it.getDoubleNext(); newArray.set(count++, d); } v.setCachedData(newArray, true); } catch (Exception e) { e.printStackTrace(); } // ADD: error? return v; } }
Example #13
Source File: CEDRICRadarConvention.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 4 votes |
public void augmentDataset(NetcdfDataset ncDataset, CancelTask cancelTask) throws IOException { /* * float lat = 40.45f; * float lon = -104.64f; * ProjectionImpl projection = new FlatEarth(lat, lon); * * Variable ct = new Variable( ncDataset, null, null, projection.getClassName()); * ct.setDataType( DataType.CHAR); * ct.setDimensions( ""); * * ct.addAttribute( new Attribute("grid_mapping_name", "flat_earth")); * ct.addAttribute( new Attribute(_Coordinate.TransformType, "Projection")); * ct.addAttribute( new Attribute(_Coordinate.Axes, "GeoX GeoY")); * ncDataset.addVariable(null, ct); */ NcMLReader.wrapNcMLresource(ncDataset, CoordSysBuilder.resourcesDir + "CEDRICRadar.ncml", cancelTask); Variable lat = ncDataset.findVariable("radar_latitude"); Variable lon = ncDataset.findVariable("radar_longitude"); float latv = (float) lat.readScalarDouble(); float lonv = (float) lon.readScalarDouble(); Variable pv = ncDataset.findVariable("Projection"); pv.addAttribute(new Attribute("longitude_of_projection_origin", lonv)); pv.addAttribute(new Attribute("latitude_of_projection_origin", latv)); Variable tvar = ncDataset.findVariable("time"); /* * Date dt = null; * Variable sdate = ncDataset.findVariable("start_date"); * Variable stime = ncDataset.findVariable("start_time"); * String dateStr = sdate.readScalarString(); * String timeStr = stime.readScalarString(); * try { * dt = DateUtil.parse(dateStr + " " + timeStr); * } catch (Exception e) {} */ int nt = 1; ArrayDouble.D1 data = new ArrayDouble.D1(nt); // fake data.setDouble(0, 0); // data.setDouble(0, dt.getTime()/1000); tvar.setCachedData(data, false); super.augmentDataset(ncDataset, cancelTask); }
Example #14
Source File: WRFEta.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 4 votes |
/** * Add 1 to the size of the array for the given dimension. * Use linear average and interpolation to fill in the values. * * @param array use this array * @param dimIndex use this dimension * @return new array with stagger */ private ArrayDouble.D3 addStagger(ArrayDouble.D3 array, int dimIndex) { // ADD: assert 0<=dimIndex<=2 int[] shape = array.getShape(); int[] newShape = new int[3]; System.arraycopy(shape, 0, newShape, 0, 3); newShape[dimIndex]++; int ni = newShape[0]; int nj = newShape[1]; int nk = newShape[2]; ArrayDouble.D3 newArray = new ArrayDouble.D3(ni, nj, nk); // Index newIndex = newArray.getIndex(); // extract 1d array to be extended int n = shape[dimIndex]; // length of extracted array double[] d = new double[n]; // tmp array to hold extracted values int[] eshape = new int[3]; // shape of extracted array int[] neweshape = new int[3]; // shape of new array slice to write into for (int i = 0; i < 3; i++) { eshape[i] = (i == dimIndex) ? n : 1; neweshape[i] = (i == dimIndex) ? n + 1 : 1; } int[] origin = new int[3]; try { // loop through the other 2 dimensions and "extrapinterpolate" the other for (int i = 0; i < ((dimIndex == 0) ? 1 : ni); i++) { for (int j = 0; j < ((dimIndex == 1) ? 1 : nj); j++) { for (int k = 0; k < ((dimIndex == 2) ? 1 : nk); k++) { origin[0] = i; origin[1] = j; origin[2] = k; IndexIterator it = array.section(origin, eshape).getIndexIterator(); for (int l = 0; l < n; l++) { d[l] = it.getDoubleNext(); // get the original values } double[] d2 = extrapinterpolate(d); // compute new values // define slice of new array to write into IndexIterator newit = newArray.section(origin, neweshape).getIndexIterator(); for (int l = 0; l < n + 1; l++) { newit.setDoubleNext(d2[l]); } } } } } catch (InvalidRangeException e) { // ADD: report error? return null; } return newArray; }
Example #15
Source File: TestVerticalTransformWithUnitsConversion.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 3 votes |
private double[] getVertTransformationForPoint(ProjectionPoint point, int timeIndex, GeoGrid grid) throws IOException, InvalidRangeException { VerticalTransform vt = grid.getCoordinateSystem().getVerticalTransform(); // System.out.println(vt.isTimeDependent()); int[] pointIndices = new int[] {0, 0}; grid.getCoordinateSystem().findXYindexFromCoord(point.getX(), point.getY(), pointIndices); ArrayDouble.D1 dataArr = vt.getCoordinateArray1D(timeIndex, pointIndices[0], pointIndices[1]); return (double[]) dataArr.copyTo1DJavaArray(); }
Example #16
Source File: VerticalTransformSubset.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 3 votes |
/** * Get the 1D vertical coordinate array for this time step and point * * @param timeIndex the time index. Ignored if !isTimeDependent(). * @param xIndex the x index * @param yIndex the y index * @return vertical coordinate array * @throws java.io.IOException problem reading data * @throws ucar.ma2.InvalidRangeException _more_ */ public D1 getCoordinateArray1D(int timeIndex, int xIndex, int yIndex) throws IOException, InvalidRangeException { ArrayDouble.D3 data = original.getCoordinateArray(timeIndex); int[] origin = new int[3]; int[] shape = new int[3]; shape[0] = subsetList.get(0).length(); shape[1] = 1; shape[2] = 1; origin[0] = timeIndex; if (isTimeDependent() && (t_range != null)) { origin[0] = t_range.element(timeIndex); } origin[1] = yIndex; origin[2] = xIndex; Array section = data.section(origin, shape); return (ArrayDouble.D1) section.reduce(); }
Example #17
Source File: VerticalTransform.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 2 votes |
/** * Get the 1D vertical coordinate array for this time step and * the specified X,Y index for Lat-Lon point. * * @param timeIndex the time index. Ignored if !isTimeDependent(). * @param xIndex the x index * @param yIndex the y index * @return vertical coordinate array * @throws java.io.IOException problem reading data * @throws ucar.ma2.InvalidRangeException _more_ */ ArrayDouble.D1 getCoordinateArray1D(int timeIndex, int xIndex, int yIndex) throws IOException, InvalidRangeException;
Example #18
Source File: VerticalTransform.java From netcdf-java with BSD 3-Clause "New" or "Revised" License | 2 votes |
/** * Get the 3D vertical coordinate array for this time step. * Must be in "canonical order" : z, y, x. * * @param timeIndex the time index. Ignored if !isTimeDependent(). * * @return vertical coordinate array * * @throws java.io.IOException problem reading the data * @throws ucar.ma2.InvalidRangeException timeIndex out of bounds */ ucar.ma2.ArrayDouble.D3 getCoordinateArray(int timeIndex) throws java.io.IOException, ucar.ma2.InvalidRangeException;