< p > Arkaia的回答听起来很详细。然而根据你需要的精度水平和目标(气候学吗?水文预报在深度?)有一些有价值的深度数据的额外信息。< / p > < p >数据前面提到的大部分是气候学,平滑细尺度可变性和应该注意到1度分辨率非常粗的地中海。确实有现场配置文件可用CMEMS,延迟时间和近实时的科拉数据集(科里奥利再分析):< a href = " https://doi.org/10.48670/moi - 00039”rel = " nofollow noreferrer " > https://doi.org/10.48670/moi - 00039 < / >和< a href = " https://doi.org/10.48670/moi - 00044”rel = " nofollow noreferrer " > https://doi.org/10.48670/moi - 00044 < / > < / p > < p >最简单的访问是可能通过FTP (Filezilla等工具):< / p > < ul > <李> < a href = " ftp://my.cmems-du。欧盟/核心/ INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b CORIOLIS-GLOBAL-CORA-OBS nofollow noreferrer“rel = > ftp://my.cmems-du。欧盟/核心/ INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b CORIOLIS-GLOBAL-CORA-OBS < / > < /李> <李> < a href = " ftp://nrt.cmems-du。欧盟/核心/ INSITU_MED_NRT_OBSERVATIONS_013_035 med_multiparameter_nrt nofollow noreferrer“rel = > ftp://nrt.cmems-du。欧盟/核心/ INSITU_MED_NRT_OBSERVATIONS_013_035 med_multiparameter_nrt < / > < /李> < / ul > < p >这些数据集收集所有可用的数据堆在每天1 netcdf文件和数据来源,幸运的是有一个特定子集的地中海。< / p > < p >可以区分数据源的代码名称:如果有<强>“PF”< /强>文件名称,这是一个现场资料。You are most likely interested in XBT, CTD, Argo floats or glider data (corresponding codes are respectively 'XB','CT','PF','GL') FYI, on the Med sea, filtering out "bad" profiles, you can reach about 125 000 vertical profiles from 2000 to 2022, with of course some areas being a lot under-sampled.
That being said, I totally agree the CMEMS catalog is far from being user-friendly