===== Start 2009-07 at 2026-08-01T01:19:46+0800 ===== [1/7] Download 2009-07 查询远程文件清单: 2009-07 /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 - 2026-07-31T17:19:50Z - Selected dataset version: "202511" INFO - 2026-07-31T17:19:50Z - Selected dataset part: "default" INFO - 2026-07-31T17:19:50Z - Listing files on remote server... 下载: dt_global_allsat_phy_l4_20090701_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 - 2026-07-31T17:20:02Z - Selected dataset version: "202511" INFO - 2026-07-31T17:20:02Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.174981117248535, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090702_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 - 2026-07-31T17:20:10Z - Selected dataset version: "202511" INFO - 2026-07-31T17:20:10Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.182183265686035, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090703_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 - 2026-07-31T17:20:18Z - Selected dataset version: "202511" INFO - 2026-07-31T17:20:18Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.18937873840332, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090704_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 - 2026-07-31T17:20:26Z - Selected dataset version: "202511" INFO - 2026-07-31T17:20:26Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.199896812438965, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090705_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 - 2026-07-31T17:20:34Z - Selected dataset version: "202511" INFO - 2026-07-31T17:20:34Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.20328140258789, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090706_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 - 2026-07-31T17:20:42Z - Selected dataset version: "202511" INFO - 2026-07-31T17:20:42Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.198508262634277, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090707_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 - 2026-07-31T17:20:50Z - Selected dataset version: "202511" INFO - 2026-07-31T17:20:50Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.187620162963867, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090708_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 - 2026-07-31T17:20:58Z - Selected dataset version: "202511" INFO - 2026-07-31T17:20:58Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.186565399169922, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090709_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 - 2026-07-31T17:21:06Z - Selected dataset version: "202511" INFO - 2026-07-31T17:21:06Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.177412033081055, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090710_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 - 2026-07-31T17:21:14Z - Selected dataset version: "202511" INFO - 2026-07-31T17:21:14Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.18124771118164, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090711_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 - 2026-07-31T17:21:22Z - Selected dataset version: "202511" INFO - 2026-07-31T17:21:22Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.18039035797119, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090712_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 - 2026-07-31T17:21:30Z - Selected dataset version: "202511" INFO - 2026-07-31T17:21:30Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.17341899871826, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090713_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 - 2026-07-31T17:21:38Z - Selected dataset version: "202511" INFO - 2026-07-31T17:21:38Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.175979614257812, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090714_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 - 2026-07-31T17:21:46Z - Selected dataset version: "202511" INFO - 2026-07-31T17:21:46Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.17302417755127, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090715_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 - 2026-07-31T17:21:53Z - Selected dataset version: "202511" INFO - 2026-07-31T17:21:53Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.165512084960938, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090716_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 - 2026-07-31T17:22:01Z - Selected dataset version: "202511" INFO - 2026-07-31T17:22:01Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.167386054992676, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090717_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 - 2026-07-31T17:22:09Z - Selected dataset version: "202511" INFO - 2026-07-31T17:22:09Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.1649169921875, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090718_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 - 2026-07-31T17:22:17Z - Selected dataset version: "202511" INFO - 2026-07-31T17:22:17Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.176840782165527, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090719_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 - 2026-07-31T17:22:25Z - Selected dataset version: "202511" INFO - 2026-07-31T17:22:25Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.18348217010498, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090720_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 - 2026-07-31T17:22:33Z - Selected dataset version: "202511" INFO - 2026-07-31T17:22:33Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.184256553649902, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090721_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 - 2026-07-31T17:22:41Z - Selected dataset version: "202511" INFO - 2026-07-31T17:22:41Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.17912197113037, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090722_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 - 2026-07-31T17:22:48Z - Selected dataset version: "202511" INFO - 2026-07-31T17:22:48Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.191850662231445, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090723_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 - 2026-07-31T17:22:56Z - Selected dataset version: "202511" INFO - 2026-07-31T17:22:56Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.201919555664062, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090724_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 - 2026-07-31T17:23:04Z - Selected dataset version: "202511" INFO - 2026-07-31T17:23:04Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.211718559265137, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090725_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 - 2026-07-31T17:23:12Z - Selected dataset version: "202511" INFO - 2026-07-31T17:23:12Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.232029914855957, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090726_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 - 2026-07-31T17:23:20Z - Selected dataset version: "202511" INFO - 2026-07-31T17:23:20Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.236958503723145, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090727_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 - 2026-07-31T17:23:28Z - Selected dataset version: "202511" INFO - 2026-07-31T17:23:28Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.242830276489258, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090728_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 - 2026-07-31T17:23:36Z - Selected dataset version: "202511" INFO - 2026-07-31T17:23:36Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.225086212158203, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090729_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 - 2026-07-31T17:23:44Z - Selected dataset version: "202511" INFO - 2026-07-31T17:23:44Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.217269897460938, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090730_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 - 2026-07-31T17:23:52Z - Selected dataset version: "202511" INFO - 2026-07-31T17:23:52Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.216418266296387, "status": "000", "message": "The request was successful." } 下载: dt_global_allsat_phy_l4_20090731_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 - 2026-07-31T17:24:00Z - Selected dataset version: "202511" INFO - 2026-07-31T17:24:00Z - Selected dataset part: "default" { "number_of_files_to_download": 1, "total_size": 29.198211669921875, "status": "000", "message": "The request was successful." } 完成: /data/lzy/test-new/data/2009/07 [2/7] Create monthly archive with 31 daily files [3/7] Transfer archive with rsync resume support Warning: Permanently added 'ssh.cn-zhongwei-1.paracloud.com,36.103.203.6' (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. sending incremental file list AVISO_2009_07.tar 32,768 0% 0.00kB/s 0:00:00 2,523,136 0% 2.19MB/s 0:07:01 3,637,248 0% 1.56MB/s 0:09:51 6,455,296 0% 1.87MB/s 0:08:11 11,108,352 1% 2.39MB/s 0:06:23 16,056,320 1% 2.75MB/s 0:05:30 21,037,056 2% 3.62MB/s 0:04:10 26,148,864 2% 4.14MB/s 0:03:37 28,606,464 3% 3.69MB/s 0:04:03 32,178,176 3% 3.62MB/s 0:04:07 34,897,920 3% 3.11MB/s 0:04:47 37,879,808 3% 2.64MB/s 0:05:36 40,435,712 4% 2.63MB/s 0:05:37 44,007,424 4% 2.68MB/s 0:05:29 46,727,168 4% 2.63MB/s 0:05:35 49,348,608 5% 2.53MB/s 0:05:46 51,085,312 5% 2.45MB/s 0:05:58 54,132,736 5% 2.32MB/s 0:06:16 59,080,704 6% 2.90MB/s 0:04:59 62,652,416 6% 3.03MB/s 0:04:45 66,715,648 7% 3.53MB/s 0:04:03 69,632,000 7% 3.45MB/s 0:04:08 73,367,552 7% 3.02MB/s 0:04:43 77,135,872 8% 3.17MB/s 0:04:28 82,083,840 8% 3.40MB/s 0:04:09 85,164,032 8% 3.37MB/s 0:04:10 88,080,384 9% 3.35MB/s 0:04:11 92,635,136 9% 3.38MB/s 0:04:07 96,665,600 10% 3.19MB/s 0:04:20 99,549,184 10% 3.25MB/s 0:04:15 102,662,144 10% 3.30MB/s 0:04:10 107,708,416 11% 3.38MB/s 0:04:03 110,919,680 11% 3.15MB/s 0:04:19 113,999,872 12% 3.16MB/s 0:04:18 118,456,320 12% 3.39MB/s 0:03:59 121,405,440 12% 3.09MB/s 0:04:21 125,239,296 13% 3.25MB/s 0:04:07 128,221,184 13% 3.24MB/s 0:04:07 132,612,096 13% 3.28MB/s 0:04:02 135,954,432 14% 3.24MB/s 0:04:04 140,607,488 14% 3.32MB/s 0:03:57 145,522,688 15% 3.60MB/s 0:03:38 148,111,360 15% 3.09MB/s 0:04:13 153,223,168 16% 3.26MB/s 0:03:58 157,810,688 16% 3.31MB/s 0:03:53 160,464,896 16% 3.01MB/s 0:04:16 164,757,504 17% 3.28MB/s 0:03:53 169,902,080 17% 3.61MB/s 0:03:30 173,408,256 18% 3.18MB/s 0:03:58 177,799,168 18% 3.45MB/s 0:03:38 181,370,880 19% 3.46MB/s 0:03:36 185,532,416 19% 3.19MB/s 0:03:53 189,366,272 19% 3.51MB/s 0:03:31 192,348,160 20% 3.22MB/s 0:03:49 197,689,344 20% 3.48MB/s 0:03:30 201,621,504 21% 3.35MB/s 0:03:38 205,946,880 21% 3.37MB/s 0:03:35 210,206,720 22% 3.64MB/s 0:03:18 212,992,000 22% 3.32MB/s 0:03:36 216,498,176 22% 3.32MB/s 0:03:35 220,364,800 23% 3.25MB/s 0:03:38 224,919,552 23% 3.26MB/s 0:03:36 228,163,584 24% 3.27MB/s 0:03:35 231,636,992 24% 3.28MB/s 0:03:33 235,044,864 24% 3.07MB/s 0:03:46 239,206,400 25% 3.06MB/s 0:03:46 243,564,544 25% 3.14MB/s 0:03:39 246,906,880 26% 3.08MB/s 0:03:42 251,002,880 26% 3.34MB/s 0:03:23 253,689,856 26% 3.04MB/s 0:03:43 257,556,480 27% 3.18MB/s 0:03:32 261,652,480 27% 3.44MB/s 0:03:14 265,912,320 28% 3.43MB/s 0:03:14 268,140,544 28% 3.13MB/s 0:03:32 272,433,152 28% 3.23MB/s 0:03:24 275,939,328 29% 3.11MB/s 0:03:31 279,019,520 29% 2.90MB/s 0:03:45 281,903,104 29% 3.01MB/s 0:03:36 286,556,160 30% 2.98MB/s 0:03:36 290,553,856 30% 2.82MB/s 0:03:47 294,551,552 31% 3.00MB/s 0:03:32 298,582,016 31% 3.30MB/s 0:03:12 302,874,624 31% 3.27MB/s 0:03:13 307,167,232 32% 3.59MB/s 0:02:54 309,592,064 32% 3.12MB/s 0:03:20 314,343,424 33% 3.30MB/s 0:03:07 317,554,688 33% 3.08MB/s 0:03:20 319,946,752 33% 2.67MB/s 0:03:50 324,435,968 34% 3.21MB/s 0:03:09 328,531,968 34% 3.12MB/s 0:03:13 331,481,088 34% 3.14MB/s 0:03:12 334,987,264 35% 3.29MB/s 0:03:02 340,131,840 35% 3.47MB/s 0:02:51 343,113,728 36% 3.30MB/s 0:02:59 346,062,848 36% 3.29MB/s 0:02:58 350,027,776 36% 3.47MB/s 0:02:48 353,632,256 37% 3.06MB/s 0:03:10 356,941,824 37% 3.12MB/s 0:03:05 359,727,104 37% 2.95MB/s 0:03:15 364,904,448 38% 3.30MB/s 0:02:52 369,197,056 38% 3.34MB/s 0:02:49 373,817,344 39% 3.51MB/s 0:02:39 376,700,928 39% 3.69MB/s 0:02:31 379,813,888 40% 3.21MB/s 0:02:53 383,582,208 40% 3.23MB/s 0:02:50 386,367,488 40% 2.90MB/s 0:03:09 390,692,864 41% 2.99MB/s 0:03:02 393,543,680 41% 2.95MB/s 0:03:03 398,196,736 41% 2.90MB/s 0:03:05 402,161,664 42% 3.01MB/s 0:02:57 406,552,576 42% 3.17MB/s 0:02:47 409,436,160 43% 3.16MB/s 0:02:46 413,499,392 43% 3.27MB/s 0:02:39 417,726,464 44% 3.51MB/s 0:02:27 420,970,496 44% 3.19MB/s 0:02:41 423,329,792 44% 3.04MB/s 0:02:48 425,525,248 44% 2.66MB/s 0:03:11 429,522,944 45% 2.46MB/s 0:03:26 433,684,480 45% 2.74MB/s 0:03:03 437,288,960 46% 2.91MB/s 0:02:51 440,303,616 46% 3.06MB/s 0:02:42 444,497,920 46% 3.25MB/s 0:02:31 448,135,168 47% 3.18MB/s 0:02:33 450,396,160 47% 2.91MB/s 0:02:47 455,016,448 47% 3.19MB/s 0:02:31 457,801,728 48% 2.91MB/s 0:02:44 461,537,280 48% 2.92MB/s 0:02:43 464,650,240 48% 3.22MB/s 0:02:27 467,501,056 49% 2.89MB/s 0:02:42 470,646,784 49% 2.93MB/s 0:02:39 474,578,944 50% 2.94MB/s 0:02:37 477,593,600 50% 2.91MB/s 0:02:38 479,985,664 50% 2.73MB/s 0:02:48 483,786,752 50% 2.76MB/s 0:02:44 487,784,448 51% 2.78MB/s 0:02:42 490,504,192 51% 2.73MB/s 0:02:43 493,387,776 51% 2.75MB/s 0:02:41 495,910,912 52% 2.49MB/s 0:02:57 500,727,808 52% 2.47MB/s 0:02:57 504,922,112 53% 2.76MB/s 0:02:37 508,624,896 53% 3.11MB/s 0:02:18 512,655,360 54% 3.58MB/s 0:01:59 514,949,120 54% 3.23MB/s 0:02:11 518,127,616 54% 2.96MB/s 0:02:22 522,616,832 55% 3.04MB/s 0:02:16 526,647,296 55% 2.74MB/s 0:02:30 529,465,344 55% 2.93MB/s 0:02:19 532,971,520 56% 2.96MB/s 0:02:17 536,674,304 56% 2.77MB/s 0:02:25 540,999,680 57% 3.09MB/s 0:02:09 543,752,192 57% 3.05MB/s 0:02:09 546,504,704 57% 2.86MB/s 0:02:17 549,126,144 57% 2.66MB/s 0:02:26 551,911,424 58% 2.29MB/s 0:02:49 554,074,112 58% 2.18MB/s 0:02:57 555,876,352 58% 1.84MB/s 0:03:28 560,431,104 59% 2.14MB/s 0:02:57 562,888,704 59% 2.12MB/s 0:02:58 566,067,200 59% 2.32MB/s 0:02:41 569,507,840 60% 2.79MB/s 0:02:12 573,177,856 60% 2.79MB/s 0:02:11 576,749,568 60% 2.95MB/s 0:02:03 579,600,384 61% 2.87MB/s 0:02:05 582,549,504 61% 2.80MB/s 0:02:07 585,662,464 61% 2.69MB/s 0:02:12 589,004,800 62% 2.78MB/s 0:02:06 591,593,472 62% 2.60MB/s 0:02:14 596,279,296 62% 3.11MB/s 0:01:50 599,654,400 63% 3.15MB/s 0:01:48 602,865,664 63% 3.12MB/s 0:01:48 605,683,712 63% 3.31MB/s 0:01:41 610,959,360 64% 3.26MB/s 0:01:41 614,236,160 64% 3.22MB/s 0:01:41 616,628,224 64% 2.92MB/s 0:01:51 619,839,488 65% 2.99MB/s 0:01:47 622,952,448 65% 2.64MB/s 0:02:00 627,310,592 66% 2.84MB/s 0:01:50 632,356,864 66% 3.56MB/s 0:01:26 634,224,640 66% 3.29MB/s 0:01:33 639,238,144 67% 3.59MB/s 0:01:24 641,400,832 67% 3.13MB/s 0:01:36 644,317,184 67% 2.58MB/s 0:01:55 649,887,744 68% 3.34MB/s 0:01:27 652,738,560 68% 3.01MB/s 0:01:36 656,736,256 69% 3.30MB/s 0:01:26 661,618,688 69% 3.67MB/s 0:01:16 664,895,488 70% 3.17MB/s 0:01:27 669,417,472 70% 3.43MB/s 0:01:19 673,316,864 70% 3.59MB/s 0:01:14 677,969,920 71% 3.41MB/s 0:01:17 683,016,192 71% 3.82MB/s 0:01:07 686,882,816 72% 3.80MB/s 0:01:07 687,079,424 72% 2.95MB/s 0:01:26 689,700,864 72% 2.61MB/s 0:01:36 693,665,792 73% 2.33MB/s 0:01:46 697,565,184 73% 2.34MB/s 0:01:44 700,219,392 73% 2.90MB/s 0:01:23 702,808,064 74% 3.04MB/s 0:01:19 707,100,672 74% 3.10MB/s 0:01:16 710,082,560 74% 2.82MB/s 0:01:22 713,785,344 75% 3.07MB/s 0:01:14 718,274,560 75% 3.35MB/s 0:01:07 718,929,920 75% 2.58MB/s 0:01:27 722,010,112 76% 2.64MB/s 0:01:23 725,549,056 76% 2.59MB/s 0:01:24 728,629,248 76% 2.32MB/s 0:01:32 732,004,352 77% 2.82MB/s 0:01:15 735,346,688 77% 2.78MB/s 0:01:15 739,966,976 77% 2.93MB/s 0:01:09 743,702,528 78% 3.14MB/s 0:01:03 747,077,632 78% 3.05MB/s 0:01:04 751,632,384 79% 3.16MB/s 0:01:01 755,204,096 79% 3.04MB/s 0:01:02 758,808,576 79% 2.98MB/s 0:01:02 762,675,200 80% 3.31MB/s 0:00:54 765,624,320 80% 3.18MB/s 0:00:56 769,130,496 81% 3.10MB/s 0:00:56 773,455,872 81% 3.28MB/s 0:00:52 776,077,312 81% 2.80MB/s 0:01:00 779,714,560 82% 3.00MB/s 0:00:55 782,041,088 82% 2.81MB/s 0:00:58 785,711,104 82% 2.68MB/s 0:00:59 787,939,328 83% 2.70MB/s 0:00:58 791,314,432 83% 2.54MB/s 0:01:00 795,049,984 83% 2.85MB/s 0:00:52 798,687,232 84% 2.86MB/s 0:00:51 801,898,496 84% 2.93MB/s 0:00:48 805,961,728 84% 2.98MB/s 0:00:46 809,500,672 85% 2.85MB/s 0:00:47 812,089,344 85% 2.63MB/s 0:00:50 815,202,304 85% 2.81MB/s 0:00:46 819,527,680 86% 3.08MB/s 0:00:41 822,181,888 86% 2.94MB/s 0:00:42 825,786,368 87% 2.94MB/s 0:00:40 830,144,512 87% 3.20MB/s 0:00:36 834,502,656 87% 3.14MB/s 0:00:35 839,254,016 88% 3.51MB/s 0:00:30 843,743,232 88% 3.67MB/s 0:00:28 848,494,592 89% 3.62MB/s 0:00:27 851,017,728 89% 3.27MB/s 0:00:29 855,179,264 90% 3.11MB/s 0:00:29 858,128,384 90% 2.65MB/s 0:00:33 863,502,336 90% 2.64MB/s 0:00:31 868,614,144 91% 2.93MB/s 0:00:26 872,677,376 91% 2.83MB/s 0:00:26 876,183,552 92% 3.27MB/s 0:00:21 880,214,016 92% 3.17MB/s 0:00:21 884,211,712 93% 3.20MB/s 0:00:19 887,652,352 93% 3.24MB/s 0:00:18 892,829,696 94% 3.65MB/s 0:00:15 896,434,176 94% 3.57MB/s 0:00:14 899,252,224 94% 3.29MB/s 0:00:14 904,331,264 95% 3.79MB/s 0:00:11 907,968,512 95% 3.30MB/s 0:00:12 910,819,328 95% 3.25MB/s 0:00:11 915,144,704 96% 3.55MB/s 0:00:09 919,339,008 96% 3.34MB/s 0:00:08 923,205,632 97% 3.49MB/s 0:00:07 926,515,200 97% 3.48MB/s 0:00:06 930,185,216 98% 3.25MB/s 0:00:05 934,084,608 98% 3.11MB/s 0:00:04 936,837,120 98% 2.89MB/s 0:00:04 940,310,528 99% 3.03MB/s 0:00:02 944,504,832 99% 3.22MB/s 0:00:01 947,421,184 99% 3.04MB/s 0:00:00 948,971,520 100% 3.07MB/s 0:04:54 (xfr#1, to-chk=0/1) sent 945,145,106 bytes received 35 bytes 3,155,743.38 bytes/sec total size is 948,971,520 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,36.103.203.6' (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,36.103.203.5' (RSA) to the list of known hosts. Complete and cleaned: 2009-07, files=31, archive_sha256=064ba44f944cd375ae1706af3bddc36e2deb21b13502595c6e647b8f478390df ===== Complete 2009-07 at 2026-08-01T01:29:39+0800 =====