===== Start 2012-04, attempt 1, at 2026-08-03T01:25:53+0800 ===== [1/7] Download 2012-04 查询远程文件清单: 2012-04 /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:25:57Z - Selected dataset version: "202511" INFO - 2026-08-02T17:25:57Z - Selected dataset part: "default" INFO - 2026-08-02T17:25:57Z - Listing files on remote server... 下载: dt_global_allsat_phy_l4_20120401_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:26:09Z - Selected dataset version: "202511" INFO - 2026-08-02T17:26:09Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.20884609222412, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120402_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:26:17Z - Selected dataset version: "202511" INFO - 2026-08-02T17:26:17Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.195470809936523, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120403_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:26:24Z - Selected dataset version: "202511" INFO - 2026-08-02T17:26:24Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.187512397766113, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120404_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:26:32Z - Selected dataset version: "202511" INFO - 2026-08-02T17:26:32Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.185025215148926, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120405_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:26:40Z - Selected dataset version: "202511" INFO - 2026-08-02T17:26:40Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.179391860961914, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120406_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:26:48Z - Selected dataset version: "202511" INFO - 2026-08-02T17:26:48Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.165270805358887, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120407_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:26:56Z - Selected dataset version: "202511" INFO - 2026-08-02T17:26:56Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.141496658325195, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120408_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:27:04Z - Selected dataset version: "202511" INFO - 2026-08-02T17:27:04Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.111103057861328, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120409_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:27:11Z - Selected dataset version: "202511" INFO - 2026-08-02T17:27:11Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.07711696624756, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120410_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:27:19Z - Selected dataset version: "202511" INFO - 2026-08-02T17:27:19Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.039487838745117, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120411_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:27:27Z - Selected dataset version: "202511" INFO - 2026-08-02T17:27:27Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.006814002990723, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120412_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:27:35Z - Selected dataset version: "202511" INFO - 2026-08-02T17:27:35Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.973957061767578, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120413_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:27:42Z - Selected dataset version: "202511" INFO - 2026-08-02T17:27:42Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.94097328186035, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120414_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:27:50Z - Selected dataset version: "202511" INFO - 2026-08-02T17:27:50Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.91561222076416, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120415_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:27:58Z - Selected dataset version: "202511" INFO - 2026-08-02T17:27:58Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.898347854614258, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120416_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:28:06Z - Selected dataset version: "202511" INFO - 2026-08-02T17:28:06Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.876121520996094, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120417_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:28:14Z - Selected dataset version: "202511" INFO - 2026-08-02T17:28:14Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.858712196350098, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120418_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:28:21Z - Selected dataset version: "202511" INFO - 2026-08-02T17:28:21Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.841193199157715, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120419_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:28:29Z - Selected dataset version: "202511" INFO - 2026-08-02T17:28:29Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.830549240112305, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120420_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:28:37Z - Selected dataset version: "202511" INFO - 2026-08-02T17:28:37Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.81829071044922, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120421_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:28:45Z - Selected dataset version: "202511" INFO - 2026-08-02T17:28:45Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.806462287902832, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120422_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:28:53Z - Selected dataset version: "202511" INFO - 2026-08-02T17:28:53Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.807082176208496, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120423_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:29:00Z - Selected dataset version: "202511" INFO - 2026-08-02T17:29:00Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.80179500579834, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120424_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:29:08Z - Selected dataset version: "202511" INFO - 2026-08-02T17:29:08Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.79417896270752, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120425_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:29:16Z - Selected dataset version: "202511" INFO - 2026-08-02T17:29:16Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.79610252380371, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120426_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:29:24Z - Selected dataset version: "202511" INFO - 2026-08-02T17:29:24Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.792834281921387, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120427_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:29:32Z - Selected dataset version: "202511" INFO - 2026-08-02T17:29:32Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.79552459716797, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120428_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:29:39Z - Selected dataset version: "202511" INFO - 2026-08-02T17:29:39Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.801732063293457, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120429_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:29:47Z - Selected dataset version: "202511" INFO - 2026-08-02T17:29:47Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.800453186035156, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20120430_20250422.nc /data/anaconda3/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed). from pandas.core.computation.check import NUMEXPR_INSTALLED /data/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( INFO - 2026-08-02T17:29:55Z - Selected dataset version: "202511" INFO - 2026-08-02T17:29:55Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 28.79726219177246, "status": "000", "message": "The request was successful." } 完成: /data/lzy/test-new/data/2012/04 [2/7] Create monthly archive with 30 daily files [3/7] Transfer archive with rsync resume support Warning: Permanently added 'ssh.cn-zhongwei-1.paracloud.com,36.103.203.5' (RSA) to the list of known hosts. Warning: Permanently added 'ssh.cn-zhongwei-1.paracloud.com,36.103.203.6' (RSA) to the list of known hosts. sending incremental file list AVISO_2012_04.tar 32,768 0% 0.00kB/s 0:00:00 2,588,672 0% 2.14MB/s 0:06:54 7,995,392 0% 3.25MB/s 0:04:31 18,120,704 1% 5.15MB/s 0:02:49 26,509,312 2% 5.80MB/s 0:02:28 33,226,752 3% 6.89MB/s 0:02:04 42,991,616 4% 8.16MB/s 0:01:43 51,838,976 5% 7.72MB/s 0:01:48 60,162,048 6% 7.65MB/s 0:01:48 70,418,432 7% 8.39MB/s 0:01:37 78,872,576 8% 8.19MB/s 0:01:39 83,591,168 9% 7.13MB/s 0:01:53 92,012,544 10% 7.14MB/s 0:01:51 98,729,984 10% 6.35MB/s 0:02:04 108,232,704 11% 6.54MB/s 0:01:59 114,622,464 12% 7.11MB/s 0:01:49 121,438,208 13% 6.70MB/s 0:01:55 129,499,136 14% 6.64MB/s 0:01:54 136,347,648 14% 6.05MB/s 0:02:05 142,770,176 15% 6.10MB/s 0:02:02 148,996,096 16% 5.89MB/s 0:02:06 156,139,520 17% 5.97MB/s 0:02:03 160,628,736 17% 5.48MB/s 0:02:13 163,741,696 17% 4.62MB/s 0:02:37 171,704,320 18% 4.92MB/s 0:02:26 176,848,896 19% 4.50MB/s 0:02:39 181,239,808 19% 4.49MB/s 0:02:38 189,366,272 20% 5.71MB/s 0:02:03 194,150,400 21% 5.25MB/s 0:02:13 198,967,296 21% 5.06MB/s 0:02:17 203,587,584 22% 5.10MB/s 0:02:15 206,372,864 22% 3.89MB/s 0:02:56 209,321,984 22% 3.46MB/s 0:03:17 214,106,112 23% 3.50MB/s 0:03:14 219,873,280 24% 3.74MB/s 0:03:00 224,755,712 24% 4.05MB/s 0:02:45 228,065,280 25% 4.12MB/s 0:02:41 232,816,640 25% 4.11MB/s 0:02:40 237,666,304 26% 3.89MB/s 0:02:48 240,779,264 26% 3.64MB/s 0:02:59 245,235,712 26% 3.87MB/s 0:02:47 248,709,120 27% 3.64MB/s 0:02:57 254,148,608 27% 3.80MB/s 0:02:48 258,113,536 28% 4.00MB/s 0:02:39 261,881,856 28% 3.59MB/s 0:02:56 266,895,360 29% 3.83MB/s 0:02:43 269,221,888 29% 3.12MB/s 0:03:20 274,464,768 30% 3.35MB/s 0:03:05 277,151,744 30% 3.24MB/s 0:03:11 282,296,320 30% 3.26MB/s 0:03:08 286,654,464 31% 3.63MB/s 0:02:47 291,241,984 31% 3.47MB/s 0:02:54 294,453,248 32% 3.54MB/s 0:02:50 299,827,200 32% 3.55MB/s 0:02:48 303,857,664 33% 3.52MB/s 0:02:48 308,969,472 33% 3.68MB/s 0:02:39 313,425,920 34% 3.94MB/s 0:02:28 317,718,528 34% 3.83MB/s 0:02:31 323,059,712 35% 4.03MB/s 0:02:22 327,614,464 35% 3.86MB/s 0:02:27 330,825,728 36% 3.77MB/s 0:02:30 336,363,520 36% 4.10MB/s 0:02:16 338,886,656 37% 3.57MB/s 0:02:36 342,786,048 37% 3.48MB/s 0:02:39 346,226,688 38% 3.41MB/s 0:02:41 349,274,112 38% 2.81MB/s 0:03:15 354,484,224 38% 3.47MB/s 0:02:36 357,990,400 39% 3.34MB/s 0:02:41 361,857,024 39% 3.43MB/s 0:02:36 366,706,688 40% 3.76MB/s 0:02:21 370,868,224 40% 3.40MB/s 0:02:34 374,636,544 41% 3.47MB/s 0:02:30 377,978,880 41% 3.49MB/s 0:02:28 382,107,648 41% 3.34MB/s 0:02:34 386,203,648 42% 3.47MB/s 0:02:27 390,004,736 42% 3.39MB/s 0:02:29 393,117,696 43% 3.36MB/s 0:02:30 397,869,056 43% 3.54MB/s 0:02:21 402,325,504 44% 3.55MB/s 0:02:19 407,732,224 44% 4.01MB/s 0:02:02 411,172,864 45% 4.03MB/s 0:02:00 415,203,328 45% 3.76MB/s 0:02:08 419,889,152 46% 3.81MB/s 0:02:05 424,181,760 46% 3.55MB/s 0:02:13 429,162,496 47% 3.92MB/s 0:02:00 435,126,272 47% 4.48MB/s 0:01:43 441,974,784 48% 5.07MB/s 0:01:30 446,693,376 49% 5.21MB/s 0:01:26 453,541,888 49% 5.69MB/s 0:01:18 458,227,712 50% 5.50MB/s 0:01:20 464,289,792 50% 5.22MB/s 0:01:23 471,302,144 51% 5.75MB/s 0:01:14 474,578,944 52% 4.91MB/s 0:01:26 481,558,528 52% 5.22MB/s 0:01:20 485,556,224 53% 4.59MB/s 0:01:30 493,060,096 54% 4.70MB/s 0:01:26 498,008,064 54% 5.06MB/s 0:01:19 504,856,576 55% 5.25MB/s 0:01:15 509,607,936 55% 5.73MB/s 0:01:08 516,521,984 56% 5.54MB/s 0:01:09 522,584,064 57% 5.77MB/s 0:01:05 528,220,160 58% 5.38MB/s 0:01:09 535,691,264 58% 6.01MB/s 0:01:00 540,901,376 59% 5.67MB/s 0:01:03 546,996,224 60% 5.27MB/s 0:01:07 553,353,216 60% 5.53MB/s 0:01:03 561,610,752 61% 5.70MB/s 0:00:59 567,640,064 62% 5.87MB/s 0:00:57 573,079,552 62% 5.97MB/s 0:00:55 581,304,320 63% 6.40MB/s 0:00:50 586,350,592 64% 5.65MB/s 0:00:56 593,362,944 65% 5.87MB/s 0:00:52 598,016,000 65% 5.87MB/s 0:00:51 604,045,312 66% 5.22MB/s 0:00:57 610,959,360 67% 5.66MB/s 0:00:51 611,778,560 67% 4.14MB/s 0:01:10 619,708,416 68% 4.64MB/s 0:01:01 626,622,464 68% 4.95MB/s 0:00:56 631,406,592 69% 4.48MB/s 0:01:00 636,256,256 69% 5.32MB/s 0:00:50 642,088,960 70% 5.14MB/s 0:00:51 646,938,624 71% 4.67MB/s 0:00:55 653,524,992 71% 4.91MB/s 0:00:51 660,865,024 72% 5.63MB/s 0:00:43 665,812,992 73% 5.45MB/s 0:00:43 670,138,368 73% 5.33MB/s 0:00:44 674,922,496 74% 5.02MB/s 0:00:45 681,574,400 74% 4.87MB/s 0:00:45 686,030,848 75% 4.73MB/s 0:00:46 692,649,984 76% 4.99MB/s 0:00:42 699,432,960 76% 5.18MB/s 0:00:39 706,084,864 77% 5.18MB/s 0:00:38 710,279,168 77% 5.13MB/s 0:00:38 718,012,416 78% 5.35MB/s 0:00:35 724,828,160 79% 5.33MB/s 0:00:34 728,236,032 79% 4.58MB/s 0:00:38 735,313,920 80% 5.19MB/s 0:00:33 742,129,664 81% 5.27MB/s 0:00:31 749,174,784 82% 5.69MB/s 0:00:27 755,957,760 83% 6.58MB/s 0:00:22 764,313,600 83% 6.90MB/s 0:00:20 770,801,664 84% 6.80MB/s 0:00:20 779,419,648 85% 7.13MB/s 0:00:17 785,186,816 86% 6.91MB/s 0:00:17 794,099,712 87% 7.04MB/s 0:00:16 800,489,472 87% 6.99MB/s 0:00:15 806,223,872 88% 6.35MB/s 0:00:16 813,694,976 89% 6.61MB/s 0:00:14 822,247,424 90% 6.52MB/s 0:00:13 828,145,664 90% 6.45MB/s 0:00:12 835,911,680 91% 6.66MB/s 0:00:10 844,398,592 92% 7.03MB/s 0:00:09 850,132,992 93% 6.38MB/s 0:00:09 855,900,160 93% 6.34MB/s 0:00:08 863,076,352 94% 6.45MB/s 0:00:07 868,253,696 95% 5.60MB/s 0:00:07 871,989,248 95% 5.13MB/s 0:00:07 876,707,840 96% 4.90MB/s 0:00:06 883,687,424 97% 4.85MB/s 0:00:05 888,406,016 97% 4.80MB/s 0:00:04 895,614,976 98% 5.60MB/s 0:00:02 900,857,856 98% 5.72MB/s 0:00:01 907,804,672 99% 5.71MB/s 0:00:00 910,653,440 100% 5.01MB/s 0:02:53 (xfr#1, to-chk=0/1) sent 906,978,201 bytes received 35 bytes 5,081,110.57 bytes/sec total size is 910,653,440 speedup is 1.00 [4/7] Verify archive SHA256 Warning: Permanently added 'ssh.cn-zhongwei-1.paracloud.com,36.103.203.6' (RSA) to the list of known hosts. [5/7] Extract without replacing existing destination files Warning: Permanently added 'ssh.cn-zhongwei-1.paracloud.com,36.103.203.5' (RSA) to the list of known hosts. Warning: Permanently added 'ssh.cn-zhongwei-1.paracloud.com,36.103.203.5' (RSA) to the list of known hosts. [6/7] Verify every extracted NetCDF file by SHA256 Warning: Permanently added 'ssh.cn-zhongwei-1.paracloud.com,36.103.203.5' (RSA) to the list of known hosts. [7/7] Remove verified temporary data from the source and transferred archive Warning: Permanently added 'ssh.cn-zhongwei-1.paracloud.com,36.103.203.6' (RSA) to the list of known hosts. Complete and cleaned: 2012-04, files=30, archive_sha256=09a2008e6396c61dcaf54f4e1bb6a87c5974abc1950256b279a08c3b9d59694e ===== Complete 2012-04 at 2026-08-03T01:33:33+0800 =====