{"id":113382,"date":"2026-10-06T08:24:52","date_gmt":"2026-10-06T00:24:52","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/113382.html"},"modified":"2026-10-06T08:24:52","modified_gmt":"2026-10-06T00:24:52","slug":"900-mb-%e5%ae%98%e6%96%b9%e6%95%b0%e6%8d%ae%e5%8c%85%ef%bc%8c%e5%88%b0%e5%ba%95%e8%a3%85%e4%ba%86%e4%bb%80%e4%b9%88%ef%bc%9fask-16-%e5%9b%9b%e5%a4%a7%e4%ba%a7%e5%93%81-l0%e2%86%92l2-%e5%85%a8%e8%a7%a3","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/113382.html","title":{"rendered":"900 MB \u5b98\u65b9\u6570\u636e\u5305\uff0c\u5230\u5e95\u88c5\u4e86\u4ec0\u4e48\uff1fASK-16 \u56db\u5927\u4ea7\u54c1 L0\u2192L2 \u5168\u89e3\u5256\uff08\u9644 Merged \u5305 67 \u4e2a\u53d8\u91cf\u5b9e\u6d4b\u6e05\u5355\uff09"},"content":{"rendered":"

\u7cfb\u5217\u524d\u7bc7：\u2460\u300a\u4e0d\u4e0b\u8f7d 900 MB \u5b98\u65b9\u6570\u636e，\u6211\u7167\u6837\u628a PyWingpod \u7684\u4e94\u5b54\u63a2\u9488\u7b97\u6cd5\u8dd1\u901a\u4e86\u300b\u2461\u300a\u4ece 900 MB \u5230 546 KB：PyWingpod \u6700\u5c0f\u5b9e\u73b0\u73af\u5883\u642d\u5efa\u4e0e\u9010\u884c\u5b9e\u64cd\u300b\u2462\u300a\u4e94\u5b54\u63a2\u9488\u5982\u4f55\u628a\u538b\u529b\u53d8\u6210\u98ce？\u6807\u5b9a\u4e0e\u4e09\u7ef4\u98ce\u77e2\u91cf\u53cd\u6f14\u5168\u516c\u5f0f\u63a8\u5bfc\u300b\u2463\u300a\u98ce\u6d4b\u51fa\u6765\u4e86，\u7136\u540e\u5462？L1\u2192L2 \u901a\u91cf\u94fe\u8def\u5168\u62c6\u89e3\u300b<\/p>\n

\n

1. \u4e3a\u4ec0\u4e48\u8fd8\u8981\u5199\u4e00\u7bc7"\u6570\u636e\u5305\u89e3\u5256"<\/h3>\n

\u524d\u56db\u7bc7\u91cc，\u6211\u4eec\u9a8c\u8bc1\u4e86\u7b97\u6cd5\u3001\u642d\u597d\u4e86\u73af\u5883\u3001\u63a8\u5b8c\u4e86\u516c\u5f0f\u3001\u62c6\u89e3\u4e86\u901a\u91cf\u94fe\u8def\u2014\u2014\u4f46\u4e00\u76f4\u7ed5\u7740\u4e00\u4e2a\u95ee\u9898：\u5b98\u65b9\u53d1\u5e03\u7684\u6570\u636e\u5230\u5e95\u957f\u4ec0\u4e48\u6837？<\/p>\n

\u505a\u7814\u7a76\u4e0d\u662f\u8dd1\u901a demo：\u4f60\u8981\u4e48\u76f4\u63a5\u6d88\u8d39\u5b98\u65b9\u4ea7\u54c1，\u8981\u4e48\u62ff\u5b98\u65b9\u6570\u636e\u590d\u73b0\/\u6539\u8fdb\u7b97\u6cd5\u3002\u8fd9\u90fd\u9700\u8981\u5148\u641e\u6e05\u695a\u56db\u4e2a\u6570\u636e\u5305\u7684\u5c42\u7ea7\u5173\u7cfb\u3001\u6587\u4ef6\u7ed3\u6784\u3001\u53d8\u91cf\u542b\u4e49\u548c\u5751\u3002<\/p>\n

\u5b98\u65b9\u6570\u636e\u4ed3\u5e93（GFZ Data Services，DOI 10.5880\/GFZ.1.4.2024.003）\u5b9e\u9645\u63d0\u4f9b\u56db\u4e2a\u6570\u636e\u5305，\u6211\u5168\u90e8\u4e0b\u8f7d\u5e76\u5b9e\u6d4b\u4e86\u4e00\u904d：<\/p>\n\n\u6570\u636e\u5305\u4f53\u79ef\u5185\u5bb9\u5bf9\u5e94\u5904\u7406\u9636\u6bb5<\/tr>\n\n\n\n\n\n
ASK16_Calibration_data.zip<\/td>\n202.9 MB<\/td>\n\u6807\u5b9a\u673a\u52a8\u539f\u59cb\u6570\u636e（120 \u4e2a\u6587\u4ef6）<\/td>\nL0 \u6807\u5b9a\u8f93\u5165<\/td>\n<\/tr>\n
ASK16_L1_Wind_data.zip<\/td>\n\u5b98\u65b9\u81ea\u8ff0 5.09 GB<\/td>\n20 Hz \u4e09\u7ef4\u98ce\u77e2\u91cf<\/td>\nL1 \u8f93\u51fa<\/td>\n<\/tr>\n
ASK16_Merged_Wind_and_Concentration_data.zip<\/td>\n49.1 MB<\/td>\n\u98ce + \u6d53\u5ea6\u5408\u5e76 10 Hz \u6570\u636e<\/td>\nL1.5（\u5408\u5e76）<\/td>\n<\/tr>\n
ASK16_Flux_data.zip<\/td>\n180 KB<\/td>\n\u901a\u91cf\u4ea7\u54c1（\u5c0f\u6ce2\/Reynolds\/ITCS）<\/td>\nL2 \u8f93\u51fa<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u56db\u6761\u94fe\u8def\u5bf9\u5e94\u8bba\u6587 Fig. 2 \u7684\u5904\u7406\u6d41\u7a0b：\u4e94\u5b54\u63a2\u9488 + INS-GNSS \u539f\u59cb\u538b\u529b\/\u59ff\u6001 \u2192 PyWingpod \u6807\u5b9a\u5e76\u89e3\u7b97\u98ce（L0\u2192L1）\u2192 \u4e0e Picarro \u6c14\u4f53\u5206\u6790\u4eea\u6d53\u5ea6\u5408\u5e76（Merged）\u2192 eddy4R \u8ba1\u7b97\u901a\u91cf（L2）\u2192 \u8db3\u8ff9 \/ \u901a\u91cf\u5730\u5f62\u56fe\u3002<\/p>\n

\u56db\u4e2a\u5305\u7684\u6570\u636e\u7c92\u5ea6\u5b8c\u5168\u4e0d\u540c，\u51b3\u5b9a\u4e86\u5404\u81ea\u7684\u7528\u9014\u8fb9\u754c：<\/p>\n\n\u6570\u636e\u5305\u91c7\u6837\u7387\u5206\u8fa8\u7387\u53e3\u5f84\u8986\u76d6\u822a\u6b21\u5178\u578b\u7528\u9014<\/tr>\n\n\n\n\n\n
Calibration<\/td>\n50 Hz \u539f\u59cb\u538b\u529b\/\u59ff\u6001<\/td>\n\u5355\u4e2a\u673a\u52a8\u4e00\u6bb5<\/td>\n2017\u20132022 \u4e03\u4e2a\u65e5\u671f<\/td>\n\u6807\u5b9a\u53c2\u6570\u6c42\u89e3（S1\u2013S7 \u8f93\u5165）<\/td>\n<\/tr>\n
L1 Wind<\/td>\n20 Hz<\/td>\n\u9010\u70b9\u98ce\u77e2\u91cf<\/td>\n\u5404\u822a\u6b21（\u4e0b\u8f7d\u635f\u574f）<\/td>\n\u6e4d\u6d41\/\u98ce\u573a\u7814\u7a76（\u5f53\u524d\u4e0d\u53ef\u7528）<\/td>\n<\/tr>\n
Merged<\/td>\n10 Hz<\/td>\n\u9010\u70b9\u98ce+\u6d53\u5ea6<\/td>\n2018-08-29\u30012019-08-21<\/td>\n\u8fb9\u754c\u5c42\u5ed3\u7ebf\u3001\u98ce\u573a\u8d28\u68c0\u3001\u8de8\u822a\u6b21\u5bf9\u6bd4<\/td>\n<\/tr>\n
Flux<\/td>\n\u2014（\u4ea7\u54c1）<\/td>\n\u6bcf 200 m \u4e00\u6bb5<\/td>\n2018-08-29（5 \u6bb5）<\/td>\n\u533a\u57df\u901a\u91cf\u3001\u8db3\u8ff9\u3001\u5730\u5f62\u56fe<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4e0b\u9762\u9010\u5c42\u89e3\u5256\u3002<\/p>\n

\n

2. \u7b2c\u4e00\u5c42：Calibration \u5305\u2014\u2014\u201c\u6807\u5b9a\u53c2\u6570\u4e0d\u662f\u67e5\u8868\u67e5\u6765\u7684，\u662f\u98de\u51fa\u6765\u7684\u201d<\/h3>\n

2.1 \u5b9e\u6d4b\u7ed3\u6784<\/h4>\n

120 \u4e2a .csv.gz \u538b\u7f29\u6587\u4ef6，\u6587\u4ef6\u540d\u65e5\u671f\u5206\u7ec4\u8986\u76d6 2017-08-14\u30012018-08-2x\u30012019-08-0x\u30012019-08-2x\u30012019-09-0x\u30012022-05-0x\u30012022-06-1x \u4e03\u4e2a\u6807\u5b9a\u822a\u6b21\u3002\u6587\u4ef6\u540d\u5206\u4e24\u79cd\u683c\u5f0f（\u5b9e\u6d4b）：<\/p>\n

    \n
  • \u65e7\u5f0f（\u65e5\u671f\u5185\u5d4c）：CAL_ASK160170814_Leg1.csv.gz<\/li>\n
  • \u65b0\u5f0f（\u673a\u52a8\u7c7b\u578b\u663e\u5f0f）：CAL_ASK16_acc_dec_0_.csv.gz\u3001CAL_ASK16_yaw_3_.csv.gz\u3001CAL_ASK16_pitch_5_.csv.gz\u3001CAL_ASK16_square_2_.csv.gz<\/li>\n<\/ul>\n

    \u673a\u52a8\u7c7b\u578b\u5b9e\u6d4b\u7edf\u8ba1（\u65b0\u65e7\u547d\u540d\u5408\u5e76）：Leg（\u5e73\u76f4\u6bb5）76 \u4e2a\u3001acc_dec（\u52a0\u51cf\u901f）12 \u4e2a\u3001square（\u98ce\u5e73\u65b9）12 \u4e2a\u3001yaw（\u504f\u822a）10 \u4e2a\u3001pitch（\u4fef\u4ef0）10 \u4e2a，\u5176\u4e2d 2 \u4e2a Leg \u6587\u4ef6\u5e26 _flight1\/_flight2 \u540e\u7f00（\u540c\u65e5\u7b2c\u4e8c\u67b6\u6b21\u7684\u91cd\u590d\u6bb5）\u3002<\/p>\n

    2.2 \u6bcf\u7c7b\u673a\u52a8\u5728\u89e3\u54ea\u4e2a\u53c2\u6570（\u8bba\u6587 2.4.4\u20132.4.7）<\/h4>\n

    \u6807\u5b9a\u4e0d\u662f"\u5bf9\u7740\u8bf4\u660e\u4e66\u6284\u7cfb\u6570"，\u800c\u662f\u7528\u4e13\u95e8\u7684\u98de\u884c\u673a\u52a8\u628a\u6bcf\u4e2a\u6807\u5b9a\u53c2\u6570\u5b64\u7acb\u51fa\u6765\u6c42\u89e3\u3002ASK-16 \u7684\u505a\u6cd5：<\/p>\n

    \u2460 \u9759\u538b\u7f3a\u9677 ps,err \u2014\u2014 \u52a0\u51cf\u901f\u673a\u52a8 + \u504f\u822a\u673a\u52a8<\/p>\n

    \u673a\u8eab\u4e0a\u6d4b\u5230\u7684\u9759\u538b\u4e0d\u7b49\u4e8e\u81ea\u7531\u6765\u6d41\u9759\u538b，\u8fd9\u4e2a\u504f\u5dee\u53eb\u9759\u538b\u7f3a\u9677，\u8bba\u6587\u7528\u4e09\u9879\u591a\u9879\u5f0f\u63cf\u8ff0（Eq. 4，\u539f\u6587）：<\/p>\n

    ps,err = a1 \u00d7 pq + a2 \u00d7 pq \u00d7 p\u03b1\u00b2 + a3 \u00d7 pq \u00d7 p\u03b2\u00b2<\/p>\n

      \n
    • pq \u52a8\u538b\u3001p\u03b1\/p\u03b2 \u5dee\u538b\u4f20\u611f\u5668\u8bfb\u6570<\/li>\n
    • **\u52a0\u51cf\u901f\u673a\u52a8（speed runs）**\u5b9a a1\u3001a2（\u901f\u5ea6\u53d8\u5316 \u2192 \u52a8\u538b\u9879；\u03b1 \u53d8\u5316 \u2192 \u03b1 \u9879）<\/li>\n
    • **\u504f\u822a\u673a\u52a8（yaw）**\u5b9a a3（\u03b2 \u53d8\u5316 \u2192 \u03b2 \u9879）<\/li>\n
    • \u6c42\u89e3\u524d\u5148\u6309\u9ad8\u5ea6\u5f52\u4e00\u5316\u9759\u538b，\u5254\u9664\u9ad8\u5ea6\u8d77\u4f0f\u7684\u5f71\u54cd<\/li>\n<\/ul>\n

      \u2461 \u52a8\u538b\u6807\u5b9a \u2014\u2014 \u52a0\u51cf\u901f\u673a\u52a8 + \u5f80\u8fd4\u6cd5（Hartmann et al., 2018）<\/p>\n

      \u6838\u5fc3\u5047\u8bbe：\u5f80\u8fd4\u4e24\u6bb5\u7684\u5730\u901f\u5e73\u5747\u503c = \u771f\u7a7a\u901f（\u8bba\u6587 Eq. 5）：<\/p>\n

      (vgs,1 \/ cos \u03b3 + vgs,2 \/ cos \u03b3) \/ 2 = (vtas,1 + vtas,2) \/ 2 = vref<\/p>\n

      \u5176\u4e2d \u03b3 \u662f\u822a\u8ff9\u4e0e\u822a\u5411\u7684\u5939\u89d2（\u4fa7\u98ce\u6f02\u79fb）\u3002\u7136\u540e\u6c42\u53c2\u8003\u52a8\u538b pq.ref = \u00bd \u03c1 vref\u00b2（Eq. 6），\u518d\u5bf9\u5b9e\u6d4b\u52a8\u538b\u62df\u5408\u4fee\u6b63\u7cfb\u6570 cq：pq.ref = cq \u00d7 pq.i（Eq. 7）\u3002<\/p>\n

      \u2462 C\u03b2 \u4e0e \u03b20 \u2014\u2014 \u504f\u822a\u673a\u52a8 + \u5f80\u8fd4\u5e73\u76f4\u6bb5<\/p>\n

        \n
      • C\u03b2：\u5bf9\u504f\u822a\u673a\u52a8\u5148\u7b97\u98ce\u77e2\u91cf，\u7528 SciPy Nelder\u2013Mead \u8fed\u4ee3\u6700\u5c0f\u5316\u6c34\u5e73\u98ce u\u3001v \u7684\u6807\u51c6\u5dee\u4e4b\u548c（\u673a\u52a8\u7684\u98ce\u573a\u5e94\u5f53\u662f\u5e73\u7a33\u7684）<\/li>\n
      • \u03b20：\u5bf9\u591a\u7ec4\u5f80\u8fd4\u5e73\u76f4\u6bb5（reverse heading），\u8fed\u4ee3\u6700\u5c0f\u5316\u5f80\u8fd4\u4e24\u6bb5\u7684\u5e73\u5747\u6c34\u5e73\u98ce\u5dee，\u53d6\u591a\u7ec4\u673a\u52a8\u5747\u503c<\/li>\n<\/ul>\n

        \u2463 C\u03b1 \u4e0e \u03b10 \u2014\u2014 \u4fef\u4ef0\u673a\u52a8 + \u5e73\u76f4\u6bb5<\/p>\n

          \n
        • C\u03b1：\u4fef\u4ef0\u673a\u52a8\u4e2d，\u5047\u8bbe\u5782\u76f4\u98ce w \u7684\u6ce2\u52a8\u4e3b\u8981\u7531\u673a\u8eab\u8fd0\u52a8\u9020\u6210（\u5e94\u6700\u5c0f\u5316），\u7528 w \u6807\u51c6\u5dee\u505a\u76ee\u6807\u51fd\u6570\u8fed\u4ee3\u4f18\u5316；\u521d\u503c\u7528 Rosemount \u5382\u5bb6\u7ed9\u7684 0.079 [1\/\u00b0]<\/li>\n
        • \u03b10：\u8db3\u591f\u957f\u7684\u5e73\u76f4\u6bb5\u4e0a，\u5e73\u5747\u5782\u76f4\u98ce\u5e94\u5f53\u4e3a 0 \u2192 \u8fed\u4ee3\u6700\u5c0f\u5316 |w\u0305|；\u4e5f\u53ef\u7528\u52a0\u51cf\u901f\/\u5f80\u8fd4\u673a\u52a8\u6309 Hartmann 2018 \u66ff\u4ee3\u6cd5<\/li>\n<\/ul>\n

          \u4e00\u53e5\u8bdd\u603b\u7ed3：\u52a0\u51cf\u901f\u89e3\u52a8\u538b\u4e0e\u9759\u538b\u901f\u5ea6\u9879，\u504f\u822a\u89e3 \u03b2 \u4e0e\u9759\u538b \u03b2 \u9879，\u4fef\u4ef0\u89e3 \u03b1，\u5f80\u8fd4\u5e73\u76f4\u6bb5\u89e3\u96f6\u504f\u3002\u8fd9\u4e5f\u89e3\u91ca\u4e86\u4e3a\u4ec0\u4e48 Calibration \u5305\u6309\u673a\u52a8\u7c7b\u578b\u7ec4\u7ec7\u6587\u4ef6\u2014\u2014\u6bcf\u4e2a\u6587\u4ef6\u5c31\u662f\u4e00\u6b21"\u5355\u53c2\u6570\u5b9e\u9a8c"\u3002<\/p>\n

          2.3 \u6807\u5b9a\u53c2\u6570\u51ed\u4ec0\u4e48\u53ef\u4fe1：Table 2 \u7684\u5b9e\u6d4b\u7cbe\u5ea6\u8d26<\/h4>\n

          \u6807\u5b9a\u505a\u5b8c\u4e0d\u7b49\u4e8e\u8bef\u5dee\u4e3a\u96f6，\u8bba\u6587 Table 2 \u628a\u6bcf\u53f0\u4f20\u611f\u5668\u7684\u7cbe\u5ea6\u8d26\u644a\u5f00（\u5747\u4e3a\u5382\u5546\u6570\u636e + 2022-05-04 L\u00fcsse \u5730\u9762\u9759\u6b62\u5b9e\u6d4b）：<\/p>\n\n\u4f20\u611f\u5668\u8bb0\u5f55\u7387\u91cf\u7a0b\u7cbe\u5ea6（precision）<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n
          Picarro G2311-f CO\u2082<\/td>\n10 Hz（\u54cd\u5e94 \u22655 Hz）<\/td>\n300\u2013500 ppm<\/td>\n0.2 ppm（\u03c4: 0.15 ppm）<\/td>\n<\/tr>\n
          Picarro G2311-f CH\u2084<\/td>\n10 Hz<\/td>\n100\u2013300 ppb<\/td>\n3 ppb（\u03c4: 1.1 ppb）<\/td>\n<\/tr>\n
          Picarro G2311-f H\u2082O<\/td>\n10 Hz<\/td>\n0\u201399 % RH<\/td>\n0.30 %（\u4f53\u79ef\u5206\u6570）<\/td>\n<\/tr>\n
          CPT6100 \u9759\u538b<\/td>\n50 Hz（\u8f93\u51fa 10 Hz）<\/td>\n552\u20131172 hPa<\/td>\n0.004 %<\/td>\n<\/tr>\n
          CPT6100 \u03b1\/\u03b2 \u5dee\u538b<\/td>\n50 Hz<\/td>\n\u00b135 hPa<\/td>\n0.004 %（\u5730\u9762\u9759\u6b62 0.26\/0.73 Pa）<\/td>\n<\/tr>\n
          CPT6100 \u52a8\u538b<\/td>\n50 Hz<\/td>\n0\u201370 hPa<\/td>\n0.004 %（\u5730\u9762\u9759\u6b62 0.39 Pa）<\/td>\n<\/tr>\n
          HMT311 \u76f8\u5bf9\u6e7f\u5ea6<\/td>\n20 Hz（\u54cd\u5e94 17 s）<\/td>\n0\u2013100 % RH<\/td>\n0.5\u20130.85 %<\/td>\n<\/tr>\n
          CHAL-003 \u5feb\u901f\u6e29\u5ea6<\/td>\n50 Hz（\u54cd\u5e94 125 Hz）<\/td>\n\u221220~60 \u00b0C<\/td>\n0.4 %<\/td>\n<\/tr>\n
          SPAN GNSS\u2013INS \u9ad8\u5ea6<\/td>\n20 Hz<\/td>\n0\u201380 km<\/td>\n0.39 m（\u5730\u9762\u9759\u6b62）<\/td>\n<\/tr>\n
          SPAN GNSS\u2013INS \u98de\u673a\u901f\u5ea6<\/td>\n20 Hz<\/td>\n0\u2013515 m s\u207b\u00b9<\/td>\n0.003\u20130.0038 m s\u207b\u00b9<\/td>\n<\/tr>\n
          SPAN GNSS\u2013INS \u822a\u5411\/\u4fef\u4ef0\/\u6eda\u8f6c<\/td>\n20 Hz<\/td>\n0\u20132\u03c0 \/ \u00b190\u00b0 \/ \u00b1180\u00b0<\/td>\n0.0001 \/ 0.007 \/ 0.00017 rad<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u8fd9\u5957\u8d26\u7684\u610f\u4e49：\u5dee\u538b\u4f20\u611f\u5668 0.26\u20130.73 Pa \u7684\u5730\u9762\u9759\u6b62\u7cbe\u5ea6，\u76f4\u63a5\u51b3\u5b9a\u4e86 \u03b1\/\u03b2 \u89d2\u5ea6\u5206\u8fa8\u7684\u4e0b\u9650；\u800c\u8bba\u6587 2.6 \u660e\u786e\u6307\u51fa"\u8ba1\u7b97\u98ce\u5bf9\u8f93\u5165\u8bef\u5dee\u9ad8\u5ea6\u654f\u611f"（\u5f15 Metzger et al., 2011）\u2014\u2014\u6240\u4ee5\u6807\u5b9a\u673a\u52a8\u624d\u8981\u8bbe\u8ba1\u6210"\u5355\u53c2\u6570\u5b9e\u9a8c"，\u628a\u4f20\u611f\u5668\u8bef\u5dee\u9010\u9879\u9694\u79bb\u3002<\/p>\n

          \n

          3. \u7b2c\u4e8c\u5c42：L1 Wind \u5305\u2014\u201420 Hz \u4e09\u7ef4\u98ce\u77e2\u91cf<\/h3>\n

          PyWingpod \u5904\u7406\u5b8c L0\u2192L1 \u540e\u8f93\u51fa 20 Hz \u7684\u98ce\u77e2\u91cf\u4ea7\u54c1：u\/v\/w\u3001\u7a7a\u901f\u3001\u59ff\u6001\u3001\u538b\u529b\u4fee\u6b63\u7ed3\u679c\u7b49，\u5b98\u65b9\u81ea\u8ff0\u4f53\u79ef 5.09 GB\u3002<\/p>\n

          \u5751（\u5b9e\u6d4b）：\u8be5\u5305\u5728 GFZ \u670d\u52a1\u7aef\u4e0b\u8f7d\u5373\u635f\u574f\u3002 \u4e0b\u8f7d\u5f97\u5230\u7684\u6587\u4ef6（\u7ea6 694 MB）\u4e0d\u662f\u5408\u6cd5 zip，\u65e0\u6cd5\u89e3\u538b\u3002\u8fd9\u4e0e\u7b2c\u4e00\u7bc7"\u4e3a\u4ec0\u4e48\u4e0d\u4e0b\u8f7d 900 MB \u5b98\u65b9\u6570\u636e"\u547c\u5e94：\u5b98\u65b9\u6570\u636e\u94fe\u8def\u5e76\u975e\u7545\u901a\u65e0\u963b，L1 \u4ea7\u54c1\u76ee\u524d\u5c31\u662f\u4e0d\u53ef\u7528\u7684\u72b6\u6001\u3002\u9700\u8981\u7528 L1 \u6570\u636e\u505a\u7814\u7a76\u7684，\u53ea\u80fd\u4ece Calibration + Merged \u81ea\u884c\u590d\u7b97（\u8fd9\u4e5f\u662f PyWingpod \u5f00\u6e90\u7684\u610f\u4e49）\u3002<\/p>\n

          \n

          4. \u7b2c\u4e09\u5c42：Merged \u5305\u2014\u2014\u201c\u98ce + \u6d53\u5ea6\u5408\u5e76\u201d，\u672c\u7bc7\u6838\u5fc3\u5b9e\u6d4b<\/h3>\n

          4.1 \u6587\u4ef6\u7ed3\u6784（\u5b9e\u6d4b，7 \u4e2a\u6587\u4ef6）<\/h4>\n

          ASK16_Merged_Wind_and_Concentration_data\/
          \n\u251c\u2500 DE_ASK-16_20180829_MergedData\/
          \n\u2502 \u2514\u2500 combined_data_all_legs_DE_ASK16_2018-08-29.csv \u2190 84001 \u6570\u636e\u884c
          \n\u251c\u2500 DE_ASK-16_20190821_MergedData\/
          \n\u2502 \u2514\u2500 combined_data_all_legs_DE_ASK16_2019-08-21.csv \u2190 112801 \u6570\u636e\u884c
          \n\u2514\u2500 __Variables_Explained_ASK16_Wind_Concentration_MergedData_Product.csv \/ .xlsx \u2190 67 \u4e2a\u53d8\u91cf\u8bf4\u660e<\/p>\n

            \n
          • \u91c7\u6837\u7387 10 Hz（\u8bba\u6587 2.5：20 Hz \u98ce\u4e0e 10 Hz Picarro \u6d53\u5ea6\u505a\u6700\u8fd1\u90bb\u63d2\u503c，\u7edf\u4e00\u5230 10 Hz \u516c\u5171\u65f6\u95f4\u8f74）<\/li>\n
          • 2018-08-29 \u822a\u6b21 \u2248 84001 \u884c \u00f7 10 Hz \u2248 2.3 \u5c0f\u65f6；2019-08-21 \u822a\u6b21 \u2248 3.1 \u5c0f\u65f6\u2014\u2014\u4e0e\u8bba\u6587"\u5de1\u822a 2\u20133 h"\u543b\u5408<\/li>\n
          • \u4e24\u4e2a\u822a\u6b21\u53ef\u505a\u8de8\u822a\u6b21\/\u8de8\u5e74\u5bf9\u6bd4（\u540c\u5e73\u53f0\u3001\u540c\u5904\u7406\u94fe，\u4e0d\u540c\u5b63\u8282）<\/li>\n<\/ul>\n

            4.2 67 \u4e2a\u53d8\u91cf\u5b9e\u6d4b\u5206\u7ec4（\u53d8\u91cf\u8bf4\u660e\u6587\u4ef6\u9010\u6761\u8bfb\u53d6）<\/h4>\n\n\u5206\u7ec4\u53d8\u91cf\u6765\u6e90\u4f20\u611f\u5668\/\u7cfb\u7edf<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
            \u65f6\u95f4<\/td>\nTIME（HH:MM:SS.OOO UTC）\u3001NTIME（unix \u65f6\u95f4\u6233）<\/td>\n\u2014<\/td>\n<\/tr>\n
            \u6c14\u4f53\u6d53\u5ea6<\/td>\nCH4_sync \/ CH4_dry_sync（ppb \u6e7f\/\u5e72\u6469\u5c14\u5206\u6570）\u3001CO2_sync \/ CO2_dry_sync（ppm）\u3001H2O_sync（ppt）\u3001CavityPressure_sync\u3001CavityTemp_sync<\/td>\nPicarro G2311-f<\/td>\n<\/tr>\n
            \u63a2\u9488\u538b\u529b<\/td>\np_spd（\u52a8\u538b）\u3001p_alt（\u9759\u538b）\u3001p_alp（\u03b1 \u5dee\u538b）\u3001p_bet（\u03b2 \u5dee\u538b），\u5355\u4f4d Pa<\/td>\nRosemount 858 AJ + CPT6100<\/td>\n<\/tr>\n
            \u6e29\u6e7f\u5ea6<\/td>\nrh\u3001T_hmt\u3001Td\u3001a\u3001x\u3001pw\u3001pws\u3001h<\/td>\nVaisala HMT310<\/td>\n<\/tr>\n
            \u5feb\/\u6162\u6e29\u5ea6<\/td>\nChan 0\u3001T_pt100（\u6162，FU Berlin Pt100）\u3001Chan 1\u3001T_thermoc（\u5feb，\u70ed\u7535\u5076 CHAL-003）<\/td>\nPt100 \/ CHAL-003<\/td>\n<\/tr>\n
            INS-GNSS<\/td>\nlat\/lon\/height（WGS84）\u3001u_p\/v_p\/w_p（\u673a\u8eab\u901f\u5ea6）\u3001psi\/theta\/phi（\u822a\u5411\/\u4fef\u4ef0\/\u6eda\u8f6c）\u3001theta_dot\/psi_dot\u3001x_ddot\/y_ddot\/z_ddot\u3001ins_state<\/td>\nNovAtel SPAN-IGM-S1<\/td>\n<\/tr>\n
            \u9ad8\u5ea6\/\u5730\u5f62<\/td>\nheight_dem（EU-DEM \u5730\u8868\u9ad8\u7a0b）\u3001alt_asl\u3001offset_gps_height\u3001alt_agl（\u79bb\u5730\u9ad8\u5ea6）<\/td>\nEU-DEM v1.1 + PyWingpod<\/td>\n<\/tr>\n
            \u538b\u529b\u4fee\u6b63（PyWingpod \u8f93\u51fa）<\/td>\noffset_p_bet\/offset_p_spd\/offset_p_alt（\u822a\u6bb5\u8d77\u59cb\u96f6\u70b9）\u3001ps_q_err（\u542b\u89d2\u8bef\u5dee\u7684\u9759\u538b\u7f3a\u9677）\u3001ps_q_err2（\u4e0d\u542b\u89d2\u8bef\u5dee）\u3001p_alt_corr\/p_spd_corr（\u4fee\u6b63\u540e\u9759\u538b\/\u52a8\u538b）<\/td>\nPyWingpod<\/td>\n<\/tr>\n
            \u6c14\u6d41\u89d2<\/td>\nalp_i\/bet_i（\u7406\u8bba\u89d2）\u3001alp\/bet（\u6807\u5b9a\u540e\u89d2\u5ea6，rad）<\/td>\n\u63a2\u9488 + PyWingpod<\/td>\n<\/tr>\n
            \u6700\u7ec8\u98ce\u77e2\u91cf<\/td>\nu\/v\/w（m\/s）\u3001wspd\u3001wdir<\/td>\nPyWingpod<\/td>\n<\/tr>\n
            \u7a7a\u901f<\/td>\nvtas（\u771f\u7a7a\u901f）\u3001ias（\u6307\u793a\u7a7a\u901f）<\/td>\nvtas \u6765\u81ea INS-GNSS，ias \u4e3a PyWingpod \u8f93\u51fa<\/td>\n<\/tr>\n
            \u70ed\u529b\u5b66<\/td>\nT（\u8ba1\u7b97\u7528\u6e29\u5ea6）\u3001Tv（\u865a\u6e29）\u3001rho（\u5bc6\u5ea6）\u3001T_Theta（\u4f4d\u6e29）\u3001T_Theta_e（\u7b49\u6548\u4f4d\u6e29）<\/td>\nPyWingpod<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            \u6ce8\u610f\u4e24\u5904\u7ec6\u8282：<\/p>\n

              \n
            • \u6e7f\/\u5e72\u6469\u5c14\u5206\u6570\u5e76\u5217：CO2_dry_sync \u662f\u53bb\u9664\u6c34\u6c7d\u540e\u7684\u5e72\u7a7a\u6c14\u6469\u5c14\u5206\u6570，\u7b97\u901a\u91cf\/\u6d53\u5ea6\u68af\u5ea6\u65f6\u7528\u5e72\u5206\u6570，\u8fd9\u662f\u7b2c\u56db\u7bc7\u8bb2\u8fc7\u7684 H\u2082O \u7a00\u91ca\u4fee\u6b63\u7684\u524d\u63d0<\/li>\n
            • \u6587\u4ef6\u9996\u884c\u662f\u521d\u59cb\u5316\u884c（\u5b9e\u6d4b 2018 \u6587\u4ef6\u7b2c\u4e00\u884c CH4_sync=0\u3001H2O_sync=0，CO2_sync\u2248365 ppm \u6b63\u5e38）：\u4eea\u5668\u540c\u6b65\u524d\u7684\u586b\u5145\u503c，\u5206\u6790\u524d\u5148\u505a\u65f6\u95f4\u5207\u7247<\/li>\n<\/ul>\n

              4.3 \u4ece Merged \u5305\u76f4\u63a5"\u770b\u5230"\u6807\u5b9a\u7ed3\u679c<\/h4>\n

              Merged \u5305\u4e0d\u53ea\u662f\u6d88\u8d39\u7ea7\u4ea7\u54c1，\u5b83\u628a L1 \u7684\u6807\u5b9a\u7ed3\u679c\u4e5f\u644a\u5f00\u4e86：<\/p>\n

                \n
              • ps_q_err \u4e0e ps_q_err2：\u542b\/\u4e0d\u542b\u6c14\u6d41\u89d2\u8bef\u5dee\u7684\u9759\u538b\u7f3a\u9677（\u5bf9\u5e94 2.2 \u8282 Eq. 4 \u7684 ps,err）\u2014\u2014\u4e24\u8005\u4e4b\u5dee\u5c31\u662f \u03b1\/\u03b2 \u8bef\u5dee\u5bf9\u9759\u538b\u4fee\u6b63\u7684\u6c61\u67d3\u91cf，\u662f"\u98ce\u5bf9\u8f93\u5165\u8bef\u5dee\u654f\u611f"\u7684\u73b0\u6210\u5b9e\u6d4b\u8bc1\u636e<\/li>\n
              • p_alt_corr \/ p_spd_corr：\u4fee\u6b63\u540e\u7684\u9759\u538b\/\u52a8\u538b，\u76f4\u63a5\u53ef\u4e0e\u539f\u59cb p_alt\/p_spd \u505a\u5dee，\u91cf\u5316\u6bcf\u6b21\u98de\u884c\u7684\u4fee\u6b63\u91cf\u7ea7<\/li>\n
              • alp\/bet（\u6807\u5b9a\u540e\u6c14\u6d41\u89d2）\u4e0e alp_i\/bet_i（\u7406\u8bba\u89d2）：\u6c14\u6d41\u89d2\u6807\u5b9a\u7684\u8f93\u5165\u8f93\u51fa\u5bf9\u7167<\/li>\n<\/ul>\n

                \u6362\u53e5\u8bdd\u8bf4：\u60f3\u9a8c\u8bc1\u5b98\u65b9\u6807\u5b9a\u505a\u5f97\u597d\u4e0d\u597d，\u4e0d\u7528\u770b\u8bba\u6587，\u628a Merged \u5305\u91cc\u8fd9\u51e0\u5217\u62c9\u51fa\u6765\u5bf9\u4e00\u4e0b\u5c31\u884c\u3002\u8fd9\u4e5f\u662f\u4e0b\u4e00\u7bc7\u9884\u544a\u2014\u2014\u7528 Calibration \u5305 + PyWingpod \u81ea\u5df1\u590d\u7b97\u4e00\u904d\u6807\u5b9a，\u518d\u62ff Merged \u5305\u7684\u8fd9\u51e0\u5217\u5f53"\u53c2\u8003\u7b54\u6848"\u3002<\/p>\n

                4.4 \u80fd\u76f4\u63a5\u7528 Merged \u5305\u505a\u4ec0\u4e48<\/h4>\n
                  \n
                • \u8fb9\u754c\u5c42\u5ed3\u7ebf：\u722c\u5347\/\u4e0b\u964d\u6bb5 + \u6e29\u6e7f\u5ea6 + \u6d53\u5ea6 \u2192 \u63a8\u65ad\u8fb9\u754c\u5c42\u539a\u5ea6（\u8bba\u6587 2.5 \u7528\u9014\u4e00）<\/li>\n
                • \u98ce\u573a\u8d28\u91cf\u68c0\u67e5：ps_q_err（\u542b\u89d2\u8bef\u5dee）\u4e0e ps_q_err2（\u4e0d\u542b\u89d2\u8bef\u5dee）\u7684\u5dee\u5f02\u5c31\u662f\u6c14\u6d41\u89d2\u8bef\u5dee\u5bf9\u9759\u538b\u4fee\u6b63\u7684\u5f71\u54cd\u2014\u2014\u53ef\u76f4\u63a5\u91cf\u5316"\u03b1\/\u03b2 \u6807\u5b9a\u8bef\u5dee\u7684\u4f20\u64ad"\u3002\u4e24\u4e2a\u53d8\u91cf\u5e76\u6392\u653e\u5728\u540c\u4e00\u6761\u65f6\u95f4\u8f74\u4e0a，\u662f\u8bba\u6587 2.6"\u98ce\u5bf9\u8f93\u5165\u8bef\u5dee\u654f\u611f"\u8bba\u65ad\u7684\u73b0\u6210\u8bc1\u636e<\/li>\n
                • \u8de8\u822a\u6b21\u5bf9\u6bd4：2018-08-29（\u7ea6 2.3 \u5c0f\u65f6）\u4e0e 2019-08-21（\u7ea6 3.1 \u5c0f\u65f6）\u4e24\u65e5\u98ce\u901f\u98ce\u5411\u3001\u6d53\u5ea6\u57fa\u7ebf\u76f4\u63a5\u5bf9\u6bd4\u3002\u540c\u4e00\u5e73\u53f0\u3001\u540c\u4e00\u5904\u7406\u94fe，\u53ea\u662f\u5e74\u4efd\u4e0e\u5b63\u8282\u4e0d\u540c\u2014\u2014\u8fd9\u4e5f\u662f\u5b98\u65b9\u540e\u7eed\u901a\u91cf\u5730\u5f62\u56fe\u7b49\u4ea7\u54c1\u7684\u57fa\u7840\u8f93\u5165<\/li>\n<\/ul>\n
                  \n

                  5. \u7b2c\u56db\u5c42：Flux \u5305\u2014\u2014L2 \u901a\u91cf\u4ea7\u54c1<\/h3>\n

                  180 KB \u7684\u5355\u822a\u6b21\u4ea7\u54c1（2018-08-29，5 \u4e2a\u822a\u6bb5），\u6bcf 200 m \u4e00\u4e2a\u901a\u91cf\u6bb5，\u542b WAVE（Morlet \u5c0f\u6ce2\u901a\u91cf）\u3001REYN（Reynolds \u901a\u91cf）\u3001ITCS（\u79ef\u5206\u6e4d\u6d41\u7279\u5f81 + \u8d28\u91cf\u65d7\u6807） \u4e09\u7c7b\u6587\u4ef6\u3002\u5df2\u5728\u524d\u7bc7\u2463\u5b8c\u6574\u62c6\u89e3，\u8fd9\u91cc\u53ea\u8865\u4e24\u4e2a\u7ed3\u8bba：<\/p>\n

                • WAVE \u662f\u4e3b\u4ea7\u54c1：\u8bba\u6587\u660e\u786e\u4ee5\u5c0f\u6ce2\u901a\u91cf\u4e3a\u51c6（\u591a\u5c3a\u5ea6\u3001\u53ef\u6355\u6349\u950b\u9762\u8fc7\u6e21），REYN \u4f5c\u5bf9\u7167<\/li>\n
                • REYN \u6587\u4ef6\u7684 F_CO2_mass \u5217\u6709\u5355\u4f4d\u5751：\u8bf4\u660e\u6587\u4ef6\u6807 g\/m\u00b2\/h，\u5b9e\u9645\u6570\u503c\u662f mg\/m\u00b2\/h（\u5dee 1000 \u500d，Leg 1 \u9996\u6bb5\u6362\u7b97 \u22120.382 vs \u6587\u4ef6 \u2212380.96）\u2014\u2014\u76f4\u63a5\u6df7\u7528\u4f1a\u628a\u5256\u9762\u56fe\u7eb5\u8f74\u62c9\u5230 \u22123000<\/li>\n
                  \n

                  6. \u56db\u5927\u5305\u914d\u5408\u4f7f\u7528\u7684\u5178\u578b\u5de5\u4f5c\u6d41<\/h3>\n\n\u4f60\u7684\u76ee\u6807\u7528\u54ea\u4e2a\u5305\u5907\u6ce8<\/tr>\n\n\n\n\n\n\n
                  \u76f4\u63a5\u5f15\u7528\u5b98\u65b9\u901a\u91cf\u4ea7\u54c1<\/td>\nFlux<\/td>\n\u53ea\u6709 2018-08-29 \u4e00\u4e2a\u822a\u6b21<\/td>\n<\/tr>\n
                  \u7814\u7a76\u98ce\u573a\/\u6e4d\u6d41\u7ed3\u6784<\/td>\nMerged（u\/v\/w\/wspd\/wdir）<\/td>\n\u4e24\u822a\u6b21，10 Hz<\/td>\n<\/tr>\n
                  \u590d\u73b0\u6807\u5b9a\u6d41\u7a0b<\/td>\nCalibration（\u673a\u52a8\u6587\u4ef6）<\/td>\n120 \u6587\u4ef6，\u9700\u914d\u5408 PyWingpod scripts_calibration<\/td>\n<\/tr>\n
                  \u81ea\u7814 L0\u2192L1 \u7b97\u6cd5<\/td>\nCalibration + Merged \u5bf9\u7167<\/td>\nMerged \u91cc\u7684\u4fee\u6b63\u540e\u538b\u529b\/\u98ce\u53ef\u4f5c\u771f\u503c<\/td>\n<\/tr>\n
                  \u8db3\u8ff9 \/ \u901a\u91cf\u5730\u5f62\u56fe<\/td>\nFlux + Merged（lat\/lon\/height\/\u98ce）<\/td>\n\u540e\u7eed\u4ea7\u54c1\u65b9\u5411<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                  \u4e09\u4e2a\u5178\u578b\u573a\u666f\u5e2e\u4f60\u5bf9\u53f7\u5165\u5ea7：<\/p>\n

                    \n
                  • \u201c\u6211\u53ea\u60f3\u5f15\u7528\u5b98\u65b9\u901a\u91cf\u7ed3\u8bba\u201d：\u4e0b\u8f7d Flux \u5305（180 KB）\u5373\u53ef，\u4e94\u5206\u949f\u62ff\u5230 5 \u822a\u6bb5\u7684 CO\u2082\/CH\u2084\/LE \u901a\u91cf\u4e0e\u8d28\u91cf\u65d7\u6807，\u65e0\u9700\u78b0\u5176\u4f59\u4e09\u4e2a\u5305<\/li>\n
                  • \u201c\u6211\u60f3\u505a\u98ce\u573a\u6216\u8fb9\u754c\u5c42\u7814\u7a76\u201d：\u7528 Merged \u5305，10 Hz \u7684 u\/v\/w\/wspd\/wdir + \u6e29\u6e7f\u5ea6 + \u6d53\u5ea6，\u4e24\u822a\u6b21\u8db3\u591f\u505a\u72b6\u6001\u91cf\u7edf\u8ba1\u4e0e\u5b63\u8282\u5bf9\u6bd4<\/li>\n
                  • \u201c\u6211\u60f3\u590d\u73b0\u6216\u6539\u8fdb\u6807\u5b9a\u7b97\u6cd5\u201d：\u4e0b\u8f7d Calibration \u5305（202.9 MB），\u628a\u673a\u52a8\u6587\u4ef6\u5582\u7ed9 PyWingpod \u7684 scripts_calibration（S1\u2013S7），\u7528 Merged \u5305\u7684 p_alt_corr\/ps_q_err \u5f53\u9a8c\u8bc1\u771f\u503c\u2014\u2014\u8fd9\u662f\u672c\u7cfb\u5217\u4e0b\u4e00\u7bc7\u7684\u5185\u5bb9<\/li>\n<\/ul>\n
                    \n

                    7. \u907f\u5751\u6e05\u5355<\/h3>\n
                  • L1 Wind \u5305\u4e0b\u8f7d\u5373\u635f\u574f（\u5b9e\u6d4b\u975e zip）\u2192 \u9700\u8981 L1 \u6570\u636e\u7684\u573a\u666f\u6539\u7528 Merged \u6216\u81ea\u884c\u590d\u7b97<\/li>\n
                  • REYN \u7684 CO\u2082 mass \u5217\u5355\u4f4d\u6807\u6ce8\u9519\u8bef（\u5dee 1000 \u500d）\u2192 \u89c1\u2463<\/li>\n
                  • Calibration \u547d\u540d\u6709\u65b0\u65e7\u4e24\u5957\u683c\u5f0f \u2192 \u89e3\u6790\u6587\u4ef6\u540d\u5148\u6309 CAL_ASK16_{\u673a\u52a8}_{\u7f16\u53f7}_ \u8bd5，\u518d\u56de\u9000\u65e5\u671f\u5185\u5d4c\u5f0f<\/li>\n
                  • Merged \u6587\u4ef6\u9996\u884c\u662f\u521d\u59cb\u5316\u884c（CH\u2084\/H\u2082O \u4e3a 0）\u2192 \u5206\u6790\u524d\u5207\u6389\u5934\u90e8<\/li>\n
                  • \u6240\u6709\u5b98\u65b9\u4ea7\u54c1\u5747 CC-BY-4.0 \u2192 \u8f6c\u8f7d\/\u5546\u7528\u987b\u4fdd\u7559 GFZ \u7f72\u540d\u4e0e DOI（10.5880\/GFZ.1.4.2024.003）<\/li>\n
                    \n

                    8. \u7ed3\u8bed：\u8fd9\u5957\u6570\u636e\u600e\u4e48\u8ddf\u524d\u9762\u7684\u6587\u7ae0\u63a5\u4e0a<\/h3>\n
                      \n
                    • \u2460（\u6700\u5c0f\u5b9e\u73b0）\u2014\u2014\u544a\u8bc9\u4f60\u6ca1\u6709\u6570\u636e\u4e5f\u80fd\u628a\u7b97\u6cd5\u8dd1\u901a，\u672c\u7bc7\u8865\u4e0a"\u6709\u6570\u636e\u65f6\u8be5\u7528\u54ea\u5c42"<\/li>\n
                    • \u2461（\u73af\u5883\u5b9e\u64cd）\u2014\u2014\u8dd1\u901a\u7684\u662f PyWingpod \u6e90\u7801，\u5b83\u7684\u8f93\u5165\u6b63\u662f Calibration \u5305<\/li>\n
                    • \u2462（\u516c\u5f0f\u63a8\u5bfc）\u2014\u2014\u4e94\u4e2a\u6807\u5b9a\u53c2\u6570\u5728 2.2 \u8282\u5bf9\u4e0a\u4e86\u6bcf\u4e00\u7c7b\u673a\u52a8<\/li>\n
                    • \u2463（\u901a\u91cf\u94fe\u8def）\u2014\u2014Flux \u5305\u5c31\u662f\u90a3\u6761\u94fe\u8def\u7684\u7ec8\u70b9<\/li>\n<\/ul>\n

                      \u5feb\u901f\u9605\u8bfb\u6307\u5357：\u53ea\u60f3\u4e86\u89e3\u4ea7\u54c1\u5168\u8c8c \u2192 \u7b2c 1\u30016 \u8282；\u505a\u6807\u5b9a\u7814\u7a76 \u2192 \u7b2c 2 \u8282 + 2.3 \u7684\u7cbe\u5ea6\u8d26；\u505a\u98ce\u573a\/\u6d53\u5ea6\u7814\u7a76 \u2192 \u7b2c 4 \u8282（\u53d8\u91cf\u6e05\u5355\u548c\u5206\u7ec4\u662f\u91cd\u70b9）；\u6d88\u8d39\u901a\u91cf\u4ea7\u54c1 \u2192 \u7b2c 5 \u8282 + \u2463\u3002<\/p>\n

                      \u4e0b\u4e00\u7bc7\u9884\u544a：\u7528 Calibration \u5305 + PyWingpod \u5b9e\u6d4b\u590d\u73b0\u4e00\u6b21\u5b8c\u6574\u6807\u5b9a（\u4e94\u4e2a\u6807\u5b9a\u53c2\u6570\u5982\u4f55\u4ece\u673a\u52a8\u6587\u4ef6\u91cc\u4e00\u6b65\u6b65\u89e3\u51fa\u6765，\u7528 Merged \u5305\u7684\u4fee\u6b63\u538b\u529b\u5f53\u53c2\u8003\u7b54\u6848）\u3002\u5173\u6ce8\u4e0d\u8ff7\u8def，\u914d\u5957\u590d\u7b97\u5de5\u5177\u5305\u89c1\u8d44\u6e90\u533a\u3002<\/p>\n

                      \n

                      \u6570\u636e\u4e0e\u6765\u6e90：\u672c\u6587\u6240\u6709\u6570\u636e\u5305\u7ed3\u6784\u3001\u6587\u4ef6\u6570\u3001\u53d8\u91cf\u6e05\u5355\u5747\u6765\u81ea\u5bf9 GFZ \u5b98\u65b9\u6570\u636e\u5305（DOI 10.5880\/GFZ.1.4.2024.003，CC-BY-4.0）\u7684\u5b9e\u9645\u4e0b\u8f7d\u4e0e\u89e3\u6790；\u6807\u5b9a\u65b9\u6cd5\u3001\u516c\u5f0f\u7f16\u53f7\u3001\u673a\u52a8\u8bbe\u8ba1\u6765\u81ea\u8bba\u6587 Wiekenkamp et al. 2025（Atmos. Meas. Tech., 18, 749\u2013772, doi:10.5194\/amt-18-749-2025，CC-BY-4.0）\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

                      \u7cfb\u5217\u524d\u7bc7：\u2460\u300a\u4e0d\u4e0b\u8f7d 900 MB \u5b98\u65b9\u6570\u636e，\u6211\u7167\u6837\u628a PyWingpod \u7684\u4e94\u5b54\u63a2\u9488\u7b97\u6cd5\u8dd1\u901a\u4e86\u300b\u2461\u300a\u4ece 900 MB \u5230 546 KB：PyWingpod \u6700\u5c0f\u5b9e\u73b0\u73af\u5883\u642d\u5efa\u4e0e\u9010\u884c\u5b9e\u64cd\u300b\u2462\u300a\u4e94\u5b54\u63a2\u9488\u5982\u4f55\u628a\u538b\u529b\u53d8\u6210\u98ce？\u6807\u5b9a\u4e0e\u4e09\u7ef4\u98ce\u77e2\u91cf\u53cd\u6f14\u5168\u516c\u5f0f\u63a8\u5bfc\u300b\u2463\u300a\u98ce\u6d4b\u51fa\u6765\u4e86，\u7136\u540e\u5462？L1\u2192L2 \u901a\u91cf\u94fe\u8def\u5168\u62c6\u89e3\u300b1. \u4e3a\u4ec0\u4e48\u8fd8\u8981\u5199\u4e00\u7bc7\\”\u6570\u636e\u5305\u89e3\u5256\\”
                      \n\u524d\u56db\u7bc7\u91cc，\u6211\u4eec\u9a8c\u8bc1\u4e86\u7b97\u6cd5\u3001\u642d\u597d\u4e86\u73af\u5883\u3001\u63a8\u5b8c\u4e86<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[11653,81,227,801,427],"topic":[],"class_list":["post-113382","post","type-post","status-publish","format-standard","hentry","category-server","tag-11653","tag-python","tag-227","tag-801","tag-427"],"yoast_head":"\n900 MB \u5b98\u65b9\u6570\u636e\u5305\uff0c\u5230\u5e95\u88c5\u4e86\u4ec0\u4e48\uff1fASK-16 \u56db\u5927\u4ea7\u54c1 L0\u2192L2 \u5168\u89e3\u5256\uff08\u9644 Merged \u5305 67 \u4e2a\u53d8\u91cf\u5b9e\u6d4b\u6e05\u5355\uff09 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/113382.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"900 MB \u5b98\u65b9\u6570\u636e\u5305\uff0c\u5230\u5e95\u88c5\u4e86\u4ec0\u4e48\uff1fASK-16 \u56db\u5927\u4ea7\u54c1 L0\u2192L2 \u5168\u89e3\u5256\uff08\u9644 Merged \u5305 67 \u4e2a\u53d8\u91cf\u5b9e\u6d4b\u6e05\u5355\uff09 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u7cfb\u5217\u524d\u7bc7：\u2460\u300a\u4e0d\u4e0b\u8f7d 900 MB \u5b98\u65b9\u6570\u636e，\u6211\u7167\u6837\u628a PyWingpod \u7684\u4e94\u5b54\u63a2\u9488\u7b97\u6cd5\u8dd1\u901a\u4e86\u300b\u2461\u300a\u4ece 900 MB \u5230 546 KB：PyWingpod \u6700\u5c0f\u5b9e\u73b0\u73af\u5883\u642d\u5efa\u4e0e\u9010\u884c\u5b9e\u64cd\u300b\u2462\u300a\u4e94\u5b54\u63a2\u9488\u5982\u4f55\u628a\u538b\u529b\u53d8\u6210\u98ce？\u6807\u5b9a\u4e0e\u4e09\u7ef4\u98ce\u77e2\u91cf\u53cd\u6f14\u5168\u516c\u5f0f\u63a8\u5bfc\u300b\u2463\u300a\u98ce\u6d4b\u51fa\u6765\u4e86，\u7136\u540e\u5462？L1\u2192L2 \u901a\u91cf\u94fe\u8def\u5168\u62c6\u89e3\u300b1. \u4e3a\u4ec0\u4e48\u8fd8\u8981\u5199\u4e00\u7bc7"\u6570\u636e\u5305\u89e3\u5256" \u524d\u56db\u7bc7\u91cc，\u6211\u4eec\u9a8c\u8bc1\u4e86\u7b97\u6cd5\u3001\u642d\u597d\u4e86\u73af\u5883\u3001\u63a8\u5b8c\u4e86\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/113382.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2026-10-06T00:24:52+00:00\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/113382.html\",\"url\":\"https:\/\/www.wsisp.com\/helps\/113382.html\",\"name\":\"900 MB \u5b98\u65b9\u6570\u636e\u5305\uff0c\u5230\u5e95\u88c5\u4e86\u4ec0\u4e48\uff1fASK-16 \u56db\u5927\u4ea7\u54c1 L0\u2192L2 \u5168\u89e3\u5256\uff08\u9644 Merged \u5305 67 \u4e2a\u53d8\u91cf\u5b9e\u6d4b\u6e05\u5355\uff09 - 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