在哪里可以找到可靠的水温度?- 江南体育网页版- - - - -地球科学堆江南电子竞技平台栈交换 最近30从www.hoelymoley.com 2023 - 08 - 21 - t06:14:46z //www.hoelymoley.com/feeds/question/22989 https://creativecommons.org/licenses/by-sa/4.0/rdf //www.hoelymoley.com/q/22989 8 在哪里可以找到可靠的水温度? 米尔科 //www.hoelymoley.com/users/24655 2021 - 10 - 14 - t07:33:04z 2022 - 02 - 25 - t21:43:01z < p >我需要数据关于地中海的水温变化的深度。我找不到这些数据在< a href = " https://www.copernicus.eu/en/copernicus-services/marine " rel = " noreferrer " >哥白尼海洋< / >网站,所以我想知道如果你知道我在哪里可以找到任何数据库这种类型的数据,如果你认为这是可能获得它们。< / p > //www.hoelymoley.com/questions/22989/-/22991 # 22991 9 由arkaia回答在哪里找到可靠的水温度? arkaia //www.hoelymoley.com/users/111 2021 - 10 - 15 - t02:40:41z 2021 - 10 - 15 - t02:40:41z < p > < a href = " https://www.metoffice.gov.uk/hadobs/index.html " rel = " noreferrer " > < / >气象局哈德利中心提供全球质量控制海水温度和盐度资料和月度长期客观地分析了全球领域一度空间分辨率(< a href = " https://doi.org/10.1002/2013JC009067 " rel = " noreferrer " >好et al ., 2013 < / >)。最近EN4数据集(< a href = " https://www.metoffice.gov.uk/hadobs/en4/ " rel = " noreferrer " > https://www.metoffice.gov.uk/hadobs/en4/ < / >)包括客观分析领域形成从配置文件数据不确定性的估计。可用的数据扩展从1900年到现在,每个月都有单独的文件。好et al。(2013)使用一个简单的分析校正(< a href = " https://doi.org/10.1016/j.jmarsys.2005.11.019 " rel = " noreferrer " > Ingleby,哈迪2007 < / >)最优插值方法来分析全球历史观察,有条不紊地质量控制。字段是由结合背景场分析(分析领域的前一个月),质量控制资料从月被分析。< / p > < p > < a href = " https://i.stack.imgur.com/3TvhT.png " rel = " noreferrer " > < img src = " https://i.stack.imgur.com/3TvhT.png " alt = "表面温度异常" / > < / >来源:气象局哈德利中心< / p > < p >或者,你可以得到的数据< a href = " https://www.ncei.noaa.gov/products/world-ocean-atlas " rel = " noreferrer " > NOAA世界海洋图集< / >使用< a href = " https://www.nodc.noaa.gov/cgi-bin/OC5/SELECT/woaselect.pl?参数= 1”rel = " noreferrer " > < / > WOA选择工具。它提供了所有深度和几个字段的字段。方法略有不同,但非常相似(< a href = " https://accession.nodc.noaa.gov/NCEI-WOA18 " rel = " noreferrer " > Boyer et al ., 2018 < / >;< a href = " https://www.ncei.noaa.gov/sites/default/files/2021-03/woa18_vol1.pdf " rel = " noreferrer " > Locarnini et al, 2019 < / >)。< / p > < p >裁判:< / p > < ul > <李>波伊尔,蒂姆·p·; Garcia, Hernan E.; Locarnini, Ricardo A.; Zweng, Melissa M.; Mishonov, Alexey V.; Reagan, James R.; Weathers, Katharine A.; Baranova, Olga K.; Seidov, Dan; Smolyar, Igor V. (2018). World Ocean Atlas 2018.
  • Good, S.A.; Martin, M.J.; Rayner, N.A. EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates. J. Geophys. Res. Oceans 2013, 118, 6704–6716.
  • Ingleby, B.; Huddleston, M. Quality control of ocean temperature and salinity profiles—Historical and real-time data. J. Mar. Syst. 2007, 65, 158–175.
  • Locarnini, R.A., A.V. Mishonov, O.K. Baranova, T.P. Boyer, M.M. Zweng, H.E. Garcia, J.R. Reagan, D. Seidov, K.W. Weathers, C.R. Paver, and I.V. Smolyar (2019). World Ocean Atlas 2018, Volume 1: Temperature. A. Mishonov, Technical Editor. NOAA Atlas NESDIS 81, 52pp.
  • //www.hoelymoley.com/questions/22989/-/23563 # 23563 4 回答“锡拉”,在哪里找到可靠的水温度? “锡拉” //www.hoelymoley.com/users/26483 2022 - 02 - 25 - t21:43:01z 2022 - 02 - 25 - t21:43:01z < 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

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