中國氣象數據網API接口：http://data.cma.cn/Market/Detail/code/A.0012.0001/type/1.html
注意：需註冊，註冊後需一至兩天審覈通過。可免費試用7天。
China_SURF_Element.xls是可以採集的各種詳細數據。適合研究和效果開發。
| 分類 | 要素編碼 | 要素名稱 | 單位 |
| 基本信息 | Station_Id_C | 區站號/觀測平臺標識 (字符) | |
| Year | 年 | 年 | |
| Mon | 月 | 月 | |
| Day | 日 | 日 | |
| Hour | 時次 | 時 | |
| 觀測要素 | PRS | 氣壓 | 百帕 |
| PRS_Sea | 海平面氣壓 | 百帕 | |
| PRS_Max | 最高氣壓 | 百帕 | |
| PRS_Min | 最低氣壓 | 百帕 | |
| TEM | 溫度/氣溫 | 攝氏度(℃) | |
| TEM_Max | 最高氣溫 | 攝氏度(℃) | |
| TEM_Min | 最低氣溫 | 攝氏度(℃) | |
| RHU | 相對溼度 | 百分率 | |
| RHU_Min | 最小相對溼度 | 百分率 | |
| VAP | 水汽壓 | 百帕 | |
| PRE_1h | 降水量 | 毫米 | |
| WIN_D_INST_Max | 極大風速的風向(角度) | 字符 | |
| WIN_S_Max | 最大風速 | 米/秒 | |
| WIN_D_S_Max | 最大風速的風向(角度) | 度 | |
| WIN_S_Avg_2mi | 2分鐘平均風速 | 米/秒 | |
| WIN_D_Avg_2mi | 2分鐘平均風向(角度) | 度 | |
| WEP_Now | 現在天氣 | ||
| WIN_S_Inst_Max | 極大風速 | 米/秒 | |
| tigan | 體感溫度 | 攝氏度(℃) | |
| windpower | 風力 | ||
| VIS | 水平能見度(人工) | 米 | |
| CLO_Cov | 總雲量 | 百分率 | |
| CLO_Cov_Low | 低雲量 | 百分率 | |
| CLO_COV_LM | 雲量(低雲或中雲) | 百分率 |
China_SURF_Station.xls中是全國2000多個測象站的名稱、經緯度等信息。
特徵值說明.docx是511中天氣陰晴情況（對應接口參數WEP_Now）的說明。
可以通過接口獲取數據後打印成\t格式，可以將結果直接粘貼到Excel中，自動按照表格排列。
package com.weather.select.data;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.weather.select.util.HttpUtil;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.Map;
/**
* @Author: ZhangHao
* @Description: 地點天氣
* @Date: 2020/6/16 15:22
* @Version: 1.0
*/
public class PoliceWeatherDataReader {
private static PoliceWeatherDataReader ourInstance = new PoliceWeatherDataReader();
private List<PoliceWeather> policeWeatherList;
public List<PoliceWeather> getPoliceWeatherList() {
return policeWeatherList;
}
public static PoliceWeatherDataReader getInstance() {
return ourInstance;
}
private PoliceWeatherDataReader() {
initPoliceWeatherDataReader();
}
private void initPoliceWeatherDataReader() {
policeWeatherList = new ArrayList<>();
Map<String, Police> policeMap = PoliceDataReader.getInstance().getPoliceMap();
Collection<Police> policeCollection = policeMap.values();
List<Police> policeList = new ArrayList<>(policeCollection);
int policeListSize = policeList.size();
System.out.println("省\t城市\t經度\t緯度\t氣壓/百帕\t海平面氣壓/百帕\t最高氣壓/百帕\t最低氣壓/百帕\t溫度/氣溫/攝氏度(℃)\t最高氣溫/攝氏度(℃)\t最低氣溫/攝氏度(℃)\t相對溼度/百分率\t最小相對溼度/百分率\t水汽壓/百帕\t降水量/毫米\t極大風速的風向(角度)/度\t最大風速/米/秒\t最大風速的風向(角度)/度\t2分鐘平均風速/米/秒\t2分鐘平均風向(角度)/度\t現在天氣\t極大風速/米/秒\t體感溫度/攝氏度(℃)\t風力\t水平能見度(人工)/米\t總雲量/百分率\t低雲量/百分率\t雲量(低雲或中雲)/百分率");
for (int policeIndex = 0; policeIndex < policeListSize; ) {
StringBuilder policeGroupStringBuilder = new StringBuilder();
// 每次查詢最多支持30個站點
int policeGroupSize = 30;
int remainPoliceNumber = policeListSize - policeIndex;
if (remainPoliceNumber < 30) {
policeGroupSize = remainPoliceNumber;
}
for (int policeInGroupIndex = 0; policeInGroupIndex < policeGroupSize; policeInGroupIndex++) {
policeGroupStringBuilder.append(policeList.get(policeIndex).getId()).append(policeIndex == policeList.size() - 1 ? "" : ",");
policeIndex++;
}
String userId = "中國地面氣象站逐小時觀測資料API接口選購後被分配的賬號";
String pwd = "中國地面氣象站逐小時觀測資料API接口選購後被分配的賬號";
// [20200615000000,20200616000000]爲時間段，注意：[20200615000000,20200615240000]是錯誤的
// Station_Id_C,Year,Mon,Day,Hour是默認的，不能修改
// PRE_1h表示1h降水
String httpAPI = "http://api.data.cma.cn:8090/api?userId="+userId+"&pwd="+pwd+"&dataFormat=json&interfaceId=getSurfEleByTimeRangeAndStaID&dataCode=SURF_CHN_MUL_HOR&timeRange=[20200615000000,20200616000000]&staIDs=" + policeGroupStringBuilder.toString() + "&elements=Station_Id_C,Year,Mon,Day,Hour,PRS,PRE_1h,PRS_Sea,PRS_Max,PRS_Min,TEM,TEM_Max,TEM_Min,RHU,RHU_Min,VAP,PRE_1h,WIN_D_INST_Max,WIN_S_Max,WIN_D_S_Max,WIN_S_Avg_2mi,WIN_D_Avg_2mi,WEP_Now,WIN_S_Inst_Max,tigan,windpower,VIS,CLO_Cov,CLO_Cov_Low,CLO_COV_LM";
String resultJSONString = HttpUtil.sendGet(httpAPI);
JSONObject resultJSONObject = JSONObject.parseObject(resultJSONString);
JSONArray DSJSONArray = resultJSONObject.getJSONArray("DS");
for (JSONObject pliceWeatherJSONObject : DSJSONArray.toJavaList(JSONObject.class)) {
// 取全天中12點的天氣
if ("12".equals(pliceWeatherJSONObject.getString("Hour"))) {
PoliceWeather policeWeather = new PoliceWeather();
Police police = policeMap.get(pliceWeatherJSONObject.getString("Station_Id_C"));
policeWeather.setPolice(police);
Weather weather = new Weather();
weather.setPRS(Double.parseDouble(pliceWeatherJSONObject.getString("PRS")));
weather.setPRS_Sea(Double.parseDouble(pliceWeatherJSONObject.getString("PRS_Sea")));
weather.setPRS_Max(Double.parseDouble(pliceWeatherJSONObject.getString("PRS_Max")));
weather.setPRS_Min(Double.parseDouble(pliceWeatherJSONObject.getString("PRS_Min")));
weather.setTEM(Double.parseDouble(pliceWeatherJSONObject.getString("TEM")));
weather.setTEM_Max(Double.parseDouble(pliceWeatherJSONObject.getString("TEM_Max")));
weather.setTEM_Min(Double.parseDouble(pliceWeatherJSONObject.getString("TEM_Min")));
weather.setRHU(Double.parseDouble(pliceWeatherJSONObject.getString("RHU")));
weather.setRHU_Min(Double.parseDouble(pliceWeatherJSONObject.getString("RHU_Min")));
weather.setVAP(Double.parseDouble(pliceWeatherJSONObject.getString("VAP")));
weather.setPRE_1h(Double.parseDouble(pliceWeatherJSONObject.getString("PRE_1h")));
weather.setWIN_D_INST_Max(Double.parseDouble(pliceWeatherJSONObject.getString("WIN_D_INST_Max")));
weather.setWIN_S_Max(Double.parseDouble(pliceWeatherJSONObject.getString("WIN_S_Max")));
weather.setWIN_D_S_Max(Double.parseDouble(pliceWeatherJSONObject.getString("WIN_D_S_Max")));
weather.setWIN_S_Avg_2mi(Double.parseDouble(pliceWeatherJSONObject.getString("WIN_S_Avg_2mi")));
weather.setWIN_D_Avg_2mi(Double.parseDouble(pliceWeatherJSONObject.getString("WIN_D_Avg_2mi")));
weather.setWEP_Now(pliceWeatherJSONObject.getString("WEP_Now"));
weather.setWIN_S_Inst_Max(Double.parseDouble(pliceWeatherJSONObject.getString("WIN_S_Inst_Max")));
weather.setTigan(Double.parseDouble(pliceWeatherJSONObject.getString("tigan")));
weather.setWindpower(Double.parseDouble(pliceWeatherJSONObject.getString("windpower")));
weather.setVIS(Double.parseDouble(pliceWeatherJSONObject.getString("VIS")));
weather.setCLO_Cov(Double.parseDouble(pliceWeatherJSONObject.getString("CLO_Cov")));
weather.setCLO_Cov_Low(Double.parseDouble(pliceWeatherJSONObject.getString("CLO_Cov_Low")));
weather.setCLO_COV_LM(Double.parseDouble(pliceWeatherJSONObject.getString("CLO_COV_LM")));
policeWeather.setWeather(weather);
System.out.println(police.getProvince() + "\t" + police.getStation() + "\t" + police.getLongitude() + "\t" + police.getLatitude() + "\t" + weather.getPRS() + "\t" + weather.getPRS_Sea() + "\t" + weather.getPRS_Max() + "\t" + weather.getPRS_Min() + "\t" + weather.getTEM() + "\t" + weather.getTEM_Max() + "\t" + weather.getTEM_Min() + "\t" + weather.getRHU() + "\t" + weather.getRHU_Min() + "\t" + weather.getVAP() + "\t" + weather.getPRE_1h() + "\t" + weather.getWIN_D_INST_Max() + "\t" + weather.getWIN_S_Max() + "\t" + weather.getWIN_D_S_Max() + "\t" + weather.getWIN_S_Avg_2mi() + "\t" + weather.getWIN_D_Avg_2mi() + "\t" + weather.getWEP_Now() + "\t" + weather.getWIN_S_Inst_Max() + "\t" + weather.getTigan() + "\t" + weather.getWindpower() + "\t" + weather.getVIS() + "\t" + weather.getCLO_Cov() + "\t" + weather.getCLO_Cov_Low() + "\t" + weather.getCLO_COV_LM());
policeWeatherList.add(policeWeather);
}
}
}
}
public static void main(String[] args) {
PoliceWeatherDataReader.getInstance().getPoliceWeatherList();
}
}
完整工程下載：https://download.csdn.net/download/haoranhaoshi/12548292