NC文件的处理【netcdf】

2021-06-09 01:02

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标签:nap   art   eating   exist   static   array   开始   factory   www.   

NC是气象领域数据的标准格式之一。

能够更好的存储格点数据。

下面为测试NC文件的读写。

 

git:https://git.oschina.net/ipnunu/nctest

 

pom.xml

 

project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    modelVersion>4.0.0modelVersion>

    groupId>ncgroupId>
    artifactId>nctestartifactId>
    version>0.0.1-SNAPSHOTversion>
    packaging>jarpackaging>

    name>nctestname>
    url>http://maven.apache.orgurl>

    properties>
        project.build.sourceEncoding>UTF-8project.build.sourceEncoding>
    properties>

    
    repositories>
        repository>
            id>jeesite-reposid>
            name>Jeesite Repositoryname>
            url>http://maven.aliyun.com/nexus/content/groups/publicurl>
        repository>
    repositories>

    dependencies>
        dependency>
            groupId>edu.ucargroupId>
            artifactId>netcdfartifactId>
            version>4.2.20version>
        dependency>
        
        dependency>
            groupId>org.apache.commonsgroupId>
            artifactId>com.springsource.org.apache.commons.langartifactId>
            version>2.6.0version>
        dependency>
        dependency>
            groupId>org.apache.directory.studiogroupId>
            artifactId>org.apache.commons.ioartifactId>
            version>2.4version>
        dependency>
        dependency>
            groupId>junitgroupId>
            artifactId>junitartifactId>
            version>4.11version>
            scope>testscope>
        dependency>
    dependencies>
project>
package nc.test.netCDF3;

import java.io.IOException;
import ucar.ma2.Array;
import ucar.nc2.NCdumpW;
import ucar.nc2.NetcdfFile;
import ucar.nc2.Variable;

public class Read3DNetCDF {
    public static void main(String[] args) {
        String filename = "c:\\nunu\\nc\\HNDW1KM-north-2016090204-70m.nc";
        NetcdfFile ncfile = null;
        try {
            ncfile = NetcdfFile.open(filename);
            String variable = "wd70";
            Variable varBean = ncfile.findVariable(variable);
            // read all data
            if (null != varBean) {
                Array all = varBean.read();
                System.out.println(all.getSize());
                //System.out.println("读取所有:\n" + NCdumpW.printArray(all, variable, null));
            }
            if (null != varBean) {
                int[] origin = new int[] { 2, 1, 1 };
                int[] size = new int[] { 50, 50, 50 };
                Array data2D = varBean.read(origin, size);
                System.out.println(
                        "读取从第一维的0开始,第二维从1开始,第三维从1开始,数量分别为2,2,2:\n" + NCdumpW.printArray(data2D, variable, null));
            }
            // invoke reduce trans 3D to 2D
            if (null != varBean) {
                int[] origin = new int[] { 12, 1, 1 };
                int[] size = new int[] { 1, 2, 2 };
                Array data2D = varBean.read(origin, size).reduce().reduce();
                System.out.println(
                        "读取从第一维的0开始,第二维从1开始,第三维从1开始,数量分别为1,2,2并转为二维:\n" + NCdumpW.printArray(data2D, variable, null));
            }
        } catch (Exception ioe) {
            ioe.printStackTrace();
        } finally {
            if (null != ncfile)
                try {
                    ncfile.close();
                } catch (IOException ioe) {
                }
        }
    }
}
package nc.test.netCDF3;

import java.io.IOException;
import java.util.ArrayList;
import ucar.ma2.Array;
import ucar.ma2.DataType;
import ucar.nc2.Dimension;
import ucar.nc2.NetcdfFileWriteable;

public class Create3DNetCDF {

    public static void main(String[] args) throws Exception {
        String filename = "c:\\nunu\\nc\\test3D.nc";
        NetcdfFileWriteable ncfile = NetcdfFileWriteable.createNew(filename, true); // add
        Dimension timeDim = ncfile.addDimension("time", 2);
        Dimension latDim = ncfile.addDimension("lat", 3);
        Dimension lonDim = ncfile.addDimension("lon", 3); // define
        ArrayList dims = new ArrayList();
        dims.add(timeDim);
        dims.add(latDim);
        dims.add(lonDim);
        ncfile.addVariable("temperature", DataType.DOUBLE, dims);
        ncfile.addVariableAttribute("temperature", "units", "K"); // add a
        Array data = Array.factory(int.class, new int[] { 3 }, new int[] { 1, 2, 3 });
        ncfile.addVariableAttribute("temperature", "scale", data);
        try {
            ncfile.create();
        } catch (IOException e) {
            System.err.println("ERROR creating file " + ncfile.getLocation() + "\n" + e);
        }
    }
}
package nc.test.netCDF3;

import java.io.IOException;
import ucar.ma2.ArrayDouble;
import ucar.ma2.Index;
import ucar.ma2.InvalidRangeException;
import ucar.nc2.Dimension;
import ucar.nc2.NetcdfFileWriteable;

public class Write3DNetCDF {
    public static void main(String[] args) throws IOException {
        NetcdfFileWriteable ncfile = NetcdfFileWriteable.openExisting("c:\\nunu\\nc\\test3D.nc", true);
        Dimension timeDim = ncfile.getDimensions().get(0);
        Dimension latDim = ncfile.getDimensions().get(1);
        Dimension lonDim = ncfile.getDimensions().get(2);
        ArrayDouble A = new ArrayDouble.D3(timeDim.getLength(), latDim.getLength(), lonDim.getLength());
        int k, i, j;
        Index ima = A.getIndex();
        for (k = 0; k ) {
            for (i = 0; i ) {
                for (j = 0; j ) {
                    A.setDouble(ima.set(k, i, j), (double) (k + i + j));
                }
            }
        }
        int[] origin = new int[3];
        try {
            ncfile.write("temperature", origin, A);
            ncfile.close();
        } catch (IOException e) {
            System.err.println("ERROR writing file");
        } catch (InvalidRangeException e) {
            e.printStackTrace();
        }
    }
}

 

 

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NC文件的处理【netcdf】

标签:nap   art   eating   exist   static   array   开始   factory   www.   

原文地址:http://www.cnblogs.com/acmwangpeng/p/7305002.html


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