数据中台


多时次单要素范围检索接口

<p><strong>简要描述:</strong> </p> <ul> <li>根据坐标范围、时间段、要素检索数据</li> </ul> <p><strong>请求URL:</strong> </p> <ul> <li><code>http://data-serve.ecoweather.cn/ecmf/C3EMultiTimeOneVariablePoints</code></li> </ul> <p><strong>请求方式:</strong></p> <ul> <li>POST </li> </ul> <p><strong>参数:</strong> </p> <table> <thead> <tr> <th style="text-align: left;">参数名</th> <th style="text-align: left;">必选</th> <th style="text-align: left;">类型</th> <th>说明</th> </tr> </thead> <tbody> <tr> <td style="text-align: left;">range</td> <td style="text-align: left;">是</td> <td style="text-align: left;">Float[]</td> <td>起始纬度,起始经度,截至纬度,截至经度</td> </tr> <tr> <td style="text-align: left;">startForecastDate</td> <td style="text-align: left;">是</td> <td style="text-align: left;">string</td> <td>起始预报时间,格式:yyyy-MM-dd HH:mm:ss</td> </tr> <tr> <td style="text-align: left;">endForecastDate</td> <td style="text-align: left;">是</td> <td style="text-align: left;">string</td> <td>结束预报时间,格式:yyyy-MM-dd HH:mm:ss</td> </tr> <tr> <td style="text-align: left;">variable</td> <td style="text-align: left;">是</td> <td style="text-align: left;">string</td> <td>要素</td> </tr> </tbody> </table> <p><strong>参数示例</strong></p> <pre><code>{ "range":[-8,150,-9,151], "startForecastDate": "2020-04-20 23:00:00", "variable": "CBH", "endForecastDate":"2020-04-22 00:00:00" }</code></pre> <p><strong>返回示例</strong></p> <pre><code>{ "msg": "请求成功", "code": "200", "data": { "msg": "请求成功", "startLat": -8.0, "latCount": 2, "endLat": -9.0, "code": "200", "data": [ { "avg": 1202.0523620605468, "data": [ 1285.9415, 785.9968, 1250.0281, 983.9823, 1204.2548, 1164.0247, 1299.919, 1517.0336, 1062.6554, 1262.9667, 1358.7421, 1551.5215, 1117.7688, 1115.6062, 1405.1119, 1022.5224, 787.24445, 1250.4156, 1263.7135, 1357.2706, 1117.3058, 1063.4535, 1248.7865, 934.62756, 1476.188, 915.9479, 1454.2294, 1062.4365, 1266.4868, 1342.2527, 1205.4713, 1251.315, 1062.5322, 987.6803, 1333.6941, 1162.6343, 1096.281, 1262.9382, 1307.9756, 1203.9806, 1343.9811, 1485.7361, 1163.8894, 1201.9799, 1175.2397, 1248.3431, 1379.6953, 1117.4634, 1204.1953, 979.1578 ], "forecastDate": "2020-04-21 11:00:00" }, { "avg": 920.3323657226563, "data": [ 768.1915, 325.99683, 948.278, 831.4823, 892.2548, 910.0247, 1058.669, 1156.2836, 585.1554, 422.21674, 1010.74207, 1255.7715, 855.26874, 817.1062, 830.86194, 736.2724, 255.49445, 847.41565, 618.9635, 674.5206, 595.3058, 484.2035, 700.5365, 529.62756, 695.43805, 415.94785, 1011.4794, 791.4366, 905.23676, 755.25275, 947.9713, 1091.065, 777.2822, 254.68033, 891.4441, 539.8842, 1327.781, 1058.6882, 1009.4756, 755.98065, 747.4811, 729.4861, 831.8894, 735.72986, 512.73975, 755.34314, 716.6953, 585.9634, 8223.195, 838.4078 ], "forecastDate": "2020-04-21 11:00:00" }, { "avg": 938.9273638916015, "data": [ 1330.4415, 869.4968, 959.528, 471.7323, 1314.7548, 563.2747, 657.66895, 1147.2836, 645.6554, 443.71674, 505.7421, 694.0214, 1698.2688, 472.10623, 615.61194, 619.2724, 616.24445, 2646.9155, 388.2135, 563.7706, 1319.3058, 634.2035, 4986.2866, 873.62756, 828.93805, 593.4479, 510.72937, 1177.9365, 586.73676, 1505.2527, 591.2213, 680.56494, 1347.7822, 608.9303, 506.44406, 368.88422, 472.28107, 1109.4382, 865.9756, 1693.4806, 471.98108, 1221.4861, 1275.6394, 1284.4799, 622.98975, 471.34314, 1601.1953, 486.46338, 494.19537, 531.4078 ], "forecastDate": "2020-04-21 11:00:00" }, { "avg": 1019.9173687744141, "data": [ 918.6915, 2457.9968, 1055.7781, 457.4823, 480.25482, 411.02472, 555.66895, 842.53357, 2101.4053, 430.46674, 945.74207, 631.0214, 369.01874, 529.3562, 410.86197, 1060.0225, 473.24445, 480.16565, 431.2135, 472.27066, 369.0558, 368.9535, 4402.5366, 4043.6277, 1272.438, 465.44785, 863.7294, 1341.4365, 368.73676, 799.25275, 472.4713, 557.56494, 465.78223, 489.18033, 472.44406, 368.88422, 533.28107, 668.18823, 479.9756, 471.98065, 583.4811, 1162.7361, 4035.8894, 368.97983, 433.48978, 410.84314, 3540.4453, 859.4634, 4042.9453, 768.4078 ], "forecastDate": "2020-04-21 11:00:00" }, { "avg": 1667.3931096394856, "data": [ 1664.434, 891.8796, 1526.6993, 1357.9584, 1438.6676, 1038.9363, 1860.288, 1615.3856, 1357.8724, 1770.4226, 1592.2406, 1737.6659, 1597.6472, 1217.3774, 1997.878, 1258.9683, 1501.1692, 1572.1937, 1422.3932, 1875.9653, "NaN", 1265.7202, 1659.0454, 1265.392, 6723.0728, 994.428, 1717.9136, 1182.941, 4983.6978, 1679.7411, 1645.8975, 1599.1965, "NaN", 1204.8905, 1751.6719, 1573.9346, 1593.1476, 1262.688, 1569.8949, 1332.3657, 1876.9426, 2026.9912, 965.6877, 1355.9426, 1513.5737, 1535.4496, 1591.7229, 1061.4095, 1270.979, 1534.4888 ], "forecastDate": "2020-04-21 14:00:00" }, { "avg": 1841.062474027593, "data": [ 2036.934, 326.12958, 940.19934, 2238.2085, 946.1676, 1494.4363, 909.53796, "NaN", 522.37244, 2187.4226, 7998.2407, 1265.4159, 1093.8972, 845.87744, 1748.378, 1087.9683, 1086.4192, 1190.4437, 586.14325, 7730.2153, 9491.683, 1340.7202, 1134.0454, 653.89197, 826.5728, "NaN", 549.9135, 484.19107, 9302.197, 704.2411, 586.6474, 941.4465, 1119.9393, 900.8905, 1332.1719, 785.93463, 7610.8975, 846.43805, 1151.8949, 939.6157, 1803.4426, "NaN", 791.9377, 1327.9426, 423.57376, 2122.9497, 799.4729, 551.4095, 699.97906, 1071.4888 ], "forecastDate": "2020-04-21 14:00:00" }, { "avg": 1503.7398419189453, "data": [ 1370.184, 2874.8796, 1679.6993, 628.9584, 2288.9177, 746.4362, 486.78796, 531.3856, 1029.8724, 967.4226, 472.99057, 3029.416, 591.89716, 2570.3774, 5036.878, 759.96826, 785.66925, 3462.4438, 957.39325, 1227.4653, 1649.683, 468.22018, 2017.0454, 2240.142, 2091.5728, 772.928, 489.4135, 1958.441, 2497.6978, 1000.7411, 2579.3975, 1977.4465, 2361.4395, 1559.8905, 1737.4219, 575.43463, 506.14764, 1582.438, 2287.8948, 4655.8657, 513.4427, 506.4912, 2289.1877, 1072.9426, 476.57376, 508.9496, 512.2229, 388.4095, 1868.979, 541.4888 ], "forecastDate": "2020-04-21 14:00:00" }, { "avg": 1330.6898388671875, "data": [ 1034.184, 2920.3796, 1957.4493, 488.4584, 612.4176, 382.93622, 396.28796, 888.3856, 2532.8723, 518.4226, 520.7406, 2571.416, 575.89716, 520.87744, 434.37805, 801.46826, 418.66925, 1521.6937, 1237.1432, 892.4654, 800.9329, 2442.7202, 2659.0454, 2755.892, 1032.0728, 1441.928, 1192.9136, 2022.941, 1558.4476, 918.2411, 369.3974, 585.1965, 2055.9395, 4656.8906, 625.1719, 1717.9346, 1518.8976, 906.68805, 1162.8949, 4655.8657, 472.1927, 1008.9912, 2328.9377, 2285.6926, 472.07376, 971.9496, 480.4729, 420.4095, 441.22906, 1345.9888 ], "forecastDate": "2020-04-21 14:00:00" } ], "startLon": 150.0, "endLon": 151.0, "lonCount": 2 }, "timestamp": 1590391742136 } </code></pre> <p><strong>返回参数说明</strong> </p> <table> <thead> <tr> <th style="text-align: left;">参数名</th> <th style="text-align: left;">类型</th> <th>说明</th> </tr> </thead> <tbody> <tr> <td style="text-align: left;">data</td> <td style="text-align: left;">float</td> <td>要素数据</td> </tr> <tr> <td style="text-align: left;">forecastDate</td> <td style="text-align: left;">string</td> <td>预报时间,yyyy-MM-dd HH:mm:ss</td> </tr> <tr> <td style="text-align: left;">avg</td> <td style="text-align: left;">float</td> <td>扰动数据平均值</td> </tr> <tr> <td style="text-align: left;">startLat</td> <td style="text-align: left;">float</td> <td>纬度起始值</td> </tr> <tr> <td style="text-align: left;">endLat</td> <td style="text-align: left;">float</td> <td>纬度终止值</td> </tr> <tr> <td style="text-align: left;">latCount</td> <td style="text-align: left;">int</td> <td>纬度个数</td> </tr> <tr> <td style="text-align: left;">startLon</td> <td style="text-align: left;">float</td> <td>经度起始值</td> </tr> <tr> <td style="text-align: left;">endLon</td> <td style="text-align: left;">float</td> <td>经度终止值</td> </tr> <tr> <td style="text-align: left;">lonCount</td> <td style="text-align: left;">int</td> <td>经度个数</td> </tr> <tr> <td style="text-align: left;">lonDis</td> <td style="text-align: left;">float</td> <td>经度间隔</td> </tr> <tr> <td style="text-align: left;">lonDis</td> <td style="text-align: left;">float</td> <td>纬度间隔</td> </tr> </tbody> </table> <p><strong>备注</strong> </p> <ul> <li>撰写人:关云风</li> 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