解析气象Grib文件实例_JAVA_编程开发_程序员俱乐部

GRIB 码是与计算机无关的压缩的二进制编码,主要用来表示数值天气预报的产品资料。现行的GRIB 码版本有GRIB1 和GRIB2 两种格式。 GRIB2较之GRIB1具有加大优点而被广泛使用。如：表示多维数据、模块性结构、支持多种压缩方式、IEEE标准浮点表示法等。

首先需要引入的三方库

Maven

class="xml">
<repositories>
        <repository>
            <id>unidata</id>
            <name>THREDDS</name>
            <url>https://artifacts.unidata.ucar.edu/content/repositories/unidata-releases/</url>
    </repositories>


   <dependency>   
            <groupId>joda-time</groupId>
            <artifactId>joda-time</artifactId>
            <version>2.3</version>
        </dependency>
        <dependency>
            <groupId>org.glassfish</groupId>
            <artifactId>javax.json</artifactId>
            <version>1.0.3</version>
        </dependency>
        <dependency>
            <groupId>com.lexicalscope.jewelcli</groupId>
            <artifactId>jewelcli</artifactId>
            <version>0.8.8</version>
        </dependency>
        <dependency>
            <groupId>edu.ucar</groupId>
            <artifactId>grib</artifactId>
            <version>4.3.19</version>
        </dependency>
    

通过读取grib 文件 来解析数据

public void fileData() {
		try{
//grib 文件夹里包含N个grib 文件
			File folder = new File(environment.getProperty("weatherFolder"));
			File[] files = folder.listFiles();
			for (File file : files) {
				String[] args = {"--data","--names",file.getPath()};
				verify(args);
			}
			
		}catch(Exception e){
			log.error("文件导入发生异常:{}",e);
		}
		
	}

public  void verify(String[] args) {
		Options options = CliFactory.parseArguments(Options.class, args);
        try {
        	if (!options.getFile().exists()) {
            	log.error("Cannot find input file {0}",options.getFile());
            	return;
            }
        	if(options.getFile().isDirectory()){
        		return;
        	}
            log.info("读取  {} 气象文件",options.getFile().getName());
            new Grib2Json(options.getFile(), options).read(table);
    
        }catch (Exception e) {
        	log.error("verify error:{}",e);
        	e.printStackTrace();
            System.exit(1);
        }
    }

Options ：

package com.kedalo.databus.grib2;

import com.lexicalscope.jewel.cli.*;

import java.io.File;


/**
 * @date 2019-09-17
 *
 *
 * @author liyulong
 * 该功能实现一部分 后续可扩展
 */
@CommandLineInterface(application="grib2json", order=OptionOrder.LONGNAME)
public interface Options {

    @Option(longName="help", shortName="h", description="帮助命令")
    boolean getShowHelp();

    @Option(longName="names", shortName="n", description="打印返回字段名称")
    boolean getPrintNames();

    @Option(longName="data", shortName="d", description="打印数据字段")
    boolean getPrintData();

    @Option(longName="compact", shortName="c", description="转化为JSON格式")
    boolean isCompactFormat();

    @Option(longName="verbose", shortName="v", description="启动日志记录")
    boolean getEnableLogging();

    @Option(
        longName="output",
        shortName="o",
        description="输出命令  例:-o 文件路径",
        defaultToNull=true)
    File getOutput();

    @Unparsed(name="FILE", defaultToNull=true)
    File getFile();
    @Option(
        longName={"filter.discipline", "fd"},
        description="行业过滤起 暂时无用",
        defaultToNull=true)
    Integer getFilterDiscipline();

    @Option(
        longName={"filter.category", "fc"},
        description="类型过滤器 暂时无用",
        defaultToNull=true)
    Integer getFilterCategory();

    @Option(
        longName={"filter.parameter", "fp"},
        description="参数过滤器  暂时无用",
        defaultToNull=true)
    String getFilterParameter();

    @Option(
        longName={"filter.surface", "fs"},
        description="surface 字段暂时无用",
        defaultToNull=true)
    Integer getFilterSurface();

    @Option(
        longName={"filter.value", "fv"},
        description="过滤 surface 内容 暂时无用",
        defaultToNull=true)
    Double getFilterValue();
   
}

FloatValue java

package com.kedalo.databus.grib2;

import javax.json.JsonNumber;
import java.math.BigDecimal;
import java.math.BigInteger;


/**
 * 2014-01-17
 * @author liyulong
 */
final class FloatValue implements JsonNumber {

    private final float value;
    private BigDecimal bd;

    FloatValue(float value) {
        this.value = value;
    }

    @Override 
    public ValueType getValueType() {
        return ValueType.NUMBER;
    }

    @Override 
    public String toString() {
        if (Float.isNaN(value)) {
            return "\"NaN\"";
        }
        else if (value == Float.POSITIVE_INFINITY) {
            return "\"-Infinity\"";
        }
        else if (value == Float.NEGATIVE_INFINITY) {
            return "\"Infinity\"";
        }
        else {
            return Float.toString(value);
        }
    }

    @Override 
    public boolean isIntegral() {
        return bigDecimalValue().scale() == 0;
    }

    @Override 
    public int intValue() {
        return (int)value;
    }

    @Override 
    public int intValueExact() {
        return bigDecimalValue().intValueExact();
    }

    @Override 
    public long longValue() {
        return (long)value;
    }

    @Override 
    public long longValueExact() {
        return bigDecimalValue().longValueExact();
    }

    @Override 
    public BigInteger bigIntegerValue() {
        return bigDecimalValue().toBigInteger();
    }

    @Override 
    public BigInteger bigIntegerValueExact() {
        return bigDecimalValue().toBigIntegerExact();
    }

    @Override 
    public double doubleValue() {
        return (double)value;
    }

    @Override 
    public BigDecimal bigDecimalValue() {
        return bd != null ? bd : (bd = new BigDecimal(value));
    }

    @Override 
    public boolean equals(Object that) {
        return that instanceof JsonNumber && this.bigDecimalValue().equals(((JsonNumber)that).bigDecimalValue());
    }

    @Override 
    public int hashCode() {
        return bigDecimalValue().hashCode();
    }
}

GribRecord

package com.kedalo.databus.grib2;

import static ucar.grib.GribNumbers.BIT_5;
import static ucar.grib.GribNumbers.UNDEFINED;
import static ucar.grib.GribNumbers.isBitSet;
import static ucar.grib.grib2.Grib2Tables.codeTable3_1;
import static ucar.grib.grib2.Grib2Tables.codeTable3_2;
import static ucar.grib.grib2.Grib2Tables.codeTable4_0;
import static ucar.grib.grib2.Grib2Tables.codeTable4_3;
import static ucar.grib.grib2.Grib2Tables.codeTable4_5;
import static ucar.grib.grib2.ParameterTable.getCategoryName;
import static ucar.grib.grib2.ParameterTable.getParameterName;
import static ucar.grib.grib2.ParameterTable.getParameterUnit;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.joda.time.DateTime;
import org.joda.time.DateTimeZone;

import com.kedalo.databus.bean.GribWeather;
import com.kedalo.databus.util.WeatherUtil;

import ucar.grib.grib2.Grib2Data;
import ucar.grib.grib2.Grib2GDSVariables;
import ucar.grib.grib2.Grib2IdentificationSection;
import ucar.grib.grib2.Grib2IndicatorSection;
import ucar.grib.grib2.Grib2Pds;
import ucar.grib.grib2.Grib2Record;
/**
 * @author liyulong
 * @date 2019-09-17
 * grib 保存
 * */
public class GribRecord {
	
	  private final Grib2Record record;
	  private final Grib2IndicatorSection ins;
	  private final Options options;
	  private final Grib2IdentificationSection ids;
	  private final Grib2Pds pds;
	  private final Grib2GDSVariables gds;
	  
	 
	  
	  GribRecord(Grib2Record record, Options options) {
	        this.record = record;
	        this.options = options;
	        this.ins = record.getIs();
	        this.ids = record.getId();
	        this.pds = record.getPDS().getPdsVars();
	        this.gds = record.getGDS().getGdsVars();
	 }
	  
	 
	 public Map<String,Object> getHead(){
		 int productDef = pds.getProductDefinitionTemplate();
	     int discipline = ins.getDiscipline();
	     int paramCategory = pds.getParameterCategory();
	     int paramNumber = pds.getParameterNumber();
	     int gridTemplate = gds.getGdtn();
		 Map<String,Object> recordData = new HashMap<String,Object>();
		//学科
		 recordData.put("discipline", ins.getDiscipline());
		 recordData.put("disciplineName", ins.getDisciplineName());
		 //Grib
		 recordData.put("gribEdition", ins.getGribEdition());
			//中心点 固定值38
		 recordData.put("center", ids.getCenter_id());
		 recordData.put("centerName",WeatherUtil.codeToStr(ids.getCenter_id()));
	        //子中心点
		 recordData.put("subcenter", ids.getSubcenter_id());
		 
		 recordData.put("timeLong", ids.getRefTime());
		 recordData.put("refTime", new Date(ids.getRefTime())); 
//		 recordData.put("refTime", new DateTime(ids.getRefTime()).toDate());
		 recordData.put("time", WeatherUtil.addHourTime(new DateTime(ids.getRefTime()).toDate(), pds.getForecastTime()));
		 recordData.put("significanceOfRT", ids.getSignificanceOfRT());
		 recordData.put("significanceOfRTName",  ids.getSignificanceOfRTName());
		 recordData.put("productStatus", ids.getProductStatus());
		 recordData.put("productStatusName", ids.getProductStatusName());
		 recordData.put("productType", ids.getProductType());
		 recordData.put("productTypeName", ids.getProductStatusName());
		 recordData.put("productDefinitionTemplate", productDef);
		 recordData.put("productDefinitionTemplateName", codeTable4_0(productDef));
		 recordData.put("parameterCategory", paramCategory);
		 recordData.put("parameterCategoryName",getCategoryName(discipline, paramCategory));
		 recordData.put("parameterNumber", paramNumber);
		 recordData.put("parameterNumberName",getParameterName(discipline, paramCategory, paramNumber));
		 recordData.put("parameterUnit", getParameterUnit(discipline, paramCategory, paramNumber));
		 recordData.put("genProcessType", pds.getGenProcessType());
		 recordData.put("genProcessTypeName", codeTable4_3(pds.getGenProcessType()));
		 recordData.put("forecastTime", pds.getForecastTime());
		 recordData.put("surface1Type", pds.getLevelType1());
		 recordData.put("surface1TypeName", codeTable4_5(pds.getLevelType1()));
		 recordData.put("surface1Value", pds.getLevelValue1());
		 recordData.put("surface2Type", pds.getLevelType2());
		 recordData.put("surface2TypeName",codeTable4_5(pds.getLevelType2()));
		 recordData.put("surface2Value", pds.getLevelValue2());
		 recordData.put("gridDefinitionTemplate", gridTemplate);
		 recordData.put("gridDefinitionTemplateName",codeTable3_1(gridTemplate));
		 recordData.put("numberPoints", gds.getNumberPoints());
		 switch (gridTemplate) {
	            case 0:  // Template 3.0
	            case 1:  // Template 3.1
	            case 2:  // Template 3.2
	            case 3:  // Template 3.3
	            	writeLonLatGrid(recordData);
	            break;
	            case 10:  // Template 3.10
	                writeMercatorGrid(recordData);
	                break;
	            case 20:  // Template 3.20
	                writePolarStereographicGrid(recordData);
	                break;
	            case 30:  // Template 3.30
	                writeLambertConformalGrid(recordData);
	                break;
	            case 40:  // Template 3.40
	            case 41:  // Template 3.41
	            case 42:  // Template 3.42
	            case 43:  // Template 3.43
	                writeLonLatGrid(recordData);
	                break;
	            case 90:  // Template 3.90
	                writeSpaceOrOrthographicGrid(recordData);
	                break;
	            case 204:  // Template 3.204
	                writeCurvilinearGrid(recordData);
	                break;
	        }
	        
		 return recordData;
	    
	}
	 private void writeCurvilinearGrid(Map<String,Object> recordData) {
	        writeGridShape(recordData);
	        writeGridSize(recordData);
	}
	 
	 private void writeSpaceOrOrthographicGrid(Map<String,Object> recordData) {
	        writeGridShape(recordData);
	        writeGridSize(recordData);
	        writeAngle(recordData);
	        writeLonLatBounds(recordData);
	        recordData.put("lop", gds.getLop()); 
	        recordData.put("lap", gds.getLap()); 
	        recordData.put("xp", gds.getXp());    
	        recordData.put("yp", gds.getYp());   
	        recordData.put("nr", gds.getNr());   
	        recordData.put("xo", gds.getXo());   
	        recordData.put("yo", gds.getYo());   
	 }
	 
	 private void writeGridShape(Map<String,Object> recordData) {
		  recordData.put("shape",codeTable3_2(gds.getShape()));
		  recordData.put("shapeName", codeTable3_2(gds.getShape()));
	        switch (gds.getShape()) {
	            case 1:
	            	 recordData.put("earthRadius", gds.getEarthRadius());
	                break;
	            case 3: 
	            	 recordData.put("majorAxis", gds.getMajorAxis());
	            	 recordData.put("minorAxis", gds.getMinorAxis());
	                break;
	        }
	 }
	 
	 private void writeGridSize(Map<String,Object> recordData) {
		 recordData.put("gridUnits", gds.getGridUnits());
		 recordData.put("resolution", gds.getResolution());
		 recordData.put("winds", isBitSet(gds.getResolution(), BIT_5) ? "relative" : "true");
		 recordData.put("scanMode", gds.getScanMode());
		 recordData.put("nx", gds.getNx());  
		 recordData.put("ny", gds.getNy());  
	}
	
	private void writeAngle(Map<String,Object> recordData) {
		recordData.put("angle", gds.getAngle());
		recordData.put("basicAngle", gds.getBasicAngle());
		recordData.put("subDivisions", gds.getSubDivisions());
	}
	 
	
	  
	  private void putIfSet(Map<String,Object> recordData,String key,float value){
		    if ( value != UNDEFINED) {
		    	recordData.put(key, value);
	        }
	  }
	  
	  private void writeLonLatBounds(Map<String,Object> recordData) {
		  putIfSet(recordData,"lo1",gds.getLo1());
		  putIfSet(recordData,"la1",gds.getLa1());
		  putIfSet(recordData,"lo2",gds.getLo2());
		  putIfSet(recordData,"la2",gds.getLa2());
		  putIfSet(recordData,"dx",gds.getDx());
		  putIfSet(recordData,"dy",gds.getDy());
		  	
	    }
	  
	  private void writeRotationAndStretch(Map<String,Object> recordData) {
		  putIfSet(recordData,"spLon", gds.getSpLon()); 
		  putIfSet(recordData,"spLat", gds.getSpLat());
		  putIfSet(recordData,"rotationAngle", gds.getRotationAngle());
		  putIfSet(recordData,"poleLon", gds.getPoleLon()); 
		  putIfSet(recordData,"poleLat", gds.getPoleLat()); 
		  putIfSet(recordData,"stretchingFactor", gds.getStretchingFactor());
	 }
	  
	 private void writeLonLatGrid(Map<String,Object> recordData) {
		 writeGridShape(recordData);
		 writeGridSize(recordData);
		 writeAngle(recordData);
		 writeLonLatBounds(recordData);
		 writeRotationAndStretch(recordData);
		 putIfSet(recordData,"np", gds.getNp());  
	 }
	  
	 private void writeMercatorGrid(Map<String,Object> recordData) {
		 writeGridShape(recordData);
	     writeGridSize(recordData);
	     writeAngle(recordData);
	     writeLonLatBounds(recordData);
	}
	 private void writePolarStereographicGrid(Map<String,Object> recordData) {
		 writeGridShape(recordData);
		 writeGridSize(recordData);
		 writeLonLatBounds(recordData);
	 }
	 private void writeLambertConformalGrid(Map<String,Object> recordData) {
		 writeGridShape(recordData);
	     writeGridSize(recordData);
	     writeLonLatBounds(recordData);
	     writeRotationAndStretch(recordData);
	     recordData.put("laD", gds.getLaD());
	     recordData.put("loV", gds.getLoV());
	     recordData.put("projectionFlag", gds.getProjectionFlag());
	     recordData.put("latin1", gds.getLatin1()); 
	     recordData.put("latin2", gds.getLatin2());  
	}
	 
	 List<FloatValue> readData(Grib2Data gd) throws IOException {
		 List<FloatValue> list = new ArrayList<FloatValue>();
		 float[] data = gd.getData(record.getGdsOffset(), record.getPdsOffset(), ids.getRefTime());
		 if (data != null) {
			 for (float value : data) {
				 list.add(new FloatValue(value));
			 }
	     }
		 return list;
	}
	
}

Grib2Json

因为grib 数据格式是这样的 以时间的方式保存一个格点所有数据






而 mongoDB 的保存方式以坐标为主的保存方式所以 在业务逻辑上想找坐标对应所有时间的数据 然后依次坐标遍历所有当前坐标的时间数据

package com.kedalo.databus.grib2;

import org.bson.Document;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.kedalo.databus.comm.MongoClientCommon;
import com.kedalo.databus.content.SpringContext;
import com.kedalo.databus.util.WeatherUtil;
import ucar.grib.grib2.*;
import ucar.unidata.io.RandomAccessFile;
import java.io.*;
import java.util.*;


/**
 * @author liyulong
 * Date 2019-09-17
 * 解析Grib文件
 */
public final class Grib2Json{

    private static final Logger log = LoggerFactory.getLogger(Grib2Json.class);

    private final File file;
    private final Options option;
    
   MongoClientCommon mongoClient = (MongoClientCommon) SpringContext.getBean(MongoClientCommon.class);

    public Grib2Json(File file, Options option) {
        if (!file.exists()) {
        	log.error("Cannot find input file {0}",file);
            throw new IllegalArgumentException("Cannot find input file: " + file);
        }
        this.file = file;
        this.option = option;
    }

  
/***  这里是处理业务方法  这里是将数据解析出来存入MongoDB 因为业务原因 grib 保存结构和业务平台需要的结构相反 一个是扁平是存储 一个是 树形存储 所以 业务逻辑有点绕，请自行忽略  */
    private void read(RandomAccessFile raf, Grib2Input input, Options options,String table) throws IOException {
           List<Grib2Record> records = input.getRecords();
        float startLon = 0;//开始经度
        float startLat = 0;//开始纬度
        float x = 0;//纬度每次变化的值
        float y = 0;//经度每次变化的值
        float endLon=0;//结束的经度
        float endLat=0;//结束的纬度
    	float[] data = null;//获取data个数
    	int forecast = 0;
        if(records.size() > 0){
        	Grib2Record temp = records.get(0);
        	GribRecord rw = new GribRecord(temp, options);
        	Map<String,Object> map = rw.getHead();
        	forecast = (int)map.get("forecastTime");
        	startLon = WeatherUtil.toFloat((float)map.get("lo1"));
        	endLon = WeatherUtil.toFloat((float) map.get("lo2"));
        	x = WeatherUtil.toFloat((float) map.get("dx"));
        	y = WeatherUtil.toFloat((float) map.get("dy"));
        	startLat = WeatherUtil.toFloat((float) map.get("la1"));
        	endLat = WeatherUtil.toFloat((float) map.get("la2"));
        	data = new Grib2Data(raf).getData(temp.getGdsOffset(), temp.getPdsOffset(),  temp.getId().getRefTime());
        }
        int lonCount = WeatherUtil.scale(WeatherUtil.sub(endLon, startLon)/y, 0).intValue();
   	 	int latCount = WeatherUtil.scale(WeatherUtil.sub(endLat, startLat)/x, 0).intValue();
   	 	float tempLon = 0;
   		float tempLat = 0;
   		int count = 0;
        for (int i = 0; i < data.length; i++) {
        	tempLon = startLon + (y*(i%(lonCount+1)));
        	tempLat = startLat +(x*count%latCount);
        	count = i/(lonCount+1);
        	Document doc =  new Document();
        	
        	Map<String, Object> documentMap = new HashMap<String, Object>(); 
			documentMap.put("type", "Point");
			List<Float> list = new ArrayList<Float>();
			list.add(tempLon);
			list.add(tempLat);
			documentMap.put("coordinates",list);
        	doc.append("loc",documentMap);
        	
        	list = new ArrayList<Float>();
        	for (int j = 0; j < records.size(); j++) {
        		Grib2Record temp = records.get(j);
            	GribRecord rw = new GribRecord(temp, options);
            	Map<String,Object> map = rw.getHead();
            	doc.append("forecastTime",forecast)
    			.append("parameterNumber", map.get("parameterNumber"))
    			.append("parameterNumberName",  map.get("parameterNumberName"))
    			.append("parameterCategory", map.get("parameterCategory"))
    			.append("parameterCategoryName",  map.get("parameterCategoryName"))
    			.append("parameterUnit",  map.get("parameterUnit"))
    			.append("refTime", map.get("refTime"));
            	data = new Grib2Data(raf).getData(temp.getGdsOffset(), temp.getPdsOffset(),  temp.getId().getRefTime());
            	list.add(data[i]);
			}
        	doc.append("data", list);
        	//保存至MongoDB
        	mongoClient.insertOne(table,doc);
		}
        mongoClient.createIndex(table, "loc", "2dsphere");
    }

 
    public void read(String table) throws IOException {
        RandomAccessFile raf = new RandomAccessFile(file.getPath(), "r");
        raf.order(RandomAccessFile.BIG_ENDIAN);
        Grib2Input input = new Grib2Input(raf);
        input.scan(false, false);
        read(raf, input, option,table);
    }
}

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