Evaluation of the tropical variability from the Beijing Climate Center’s real-time operational global Ocean Data Assimilation System View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-02

AUTHORS

Wei Zhou, Mengyan Chen, Wei Zhuang, Fanghua Xu, Fei Zheng, Tongwen Wu, Xin Wang

ABSTRACT

The second-generation Global Ocean Data Assimilation System of the Beijing Climate Center (BCC GODAS2.0) has been run daily in a pre-operational mode. It spans the period 1990 to the present day. The goal of this paper is to introduce the main components and to evaluate BCC GODAS2.0 for the user community. BCC GODAS2.0 consists of an observational data preprocess, ocean data quality control system, a three-dimensional variational (3DVAR) data assimilation, and global ocean circulation model [Modular Ocean Model 4 (MOM4)]. MOM4 is driven by six-hourly fluxes from the National Centers for Environmental Prediction. Satellite altimetry data, SST, and in-situ temperature and salinity data are assimilated in real time. The monthly results from the BCC GODAS2.0 reanalysis are compared and assessed with observations for 1990–2011. The climatology of the mixed layer depth of BCC GODAS2.0 is generally in agreement with that ofWorld Ocean Atlas 2001. The modeled sea level variations in the tropical Pacific are consistent with observations from satellite altimetry on interannual to decadal time scales. Performances in predicting variations in the SST using BCC GODAS2.0 are evaluated. The standard deviation of the SST in BCC GODAS2.0 agrees well with observations in the tropical Pacific. BCC GODAS2.0 is able to capture the main features of El Ni˜no Modoki I and Modoki II, which have different impacts on rainfall in southern China. In addition, the relationships between the Indian Ocean and the two types of El Ni˜no Modoki are also reproduced. More... »

PAGES

208-220

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00376-015-4282-9

DOI

http://dx.doi.org/10.1007/s00376-015-4282-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006843260


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0405", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oceanography", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, 100081, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Wei", 
        "id": "sg:person.016100506610.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016100506610.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "South China Sea Institute Of Oceanology", 
          "id": "https://www.grid.ac/institutes/grid.458498.c", 
          "name": [
            "State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, 510301, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Mengyan", 
        "id": "sg:person.012763015714.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012763015714.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "South China Sea Institute Of Oceanology", 
          "id": "https://www.grid.ac/institutes/grid.458498.c", 
          "name": [
            "State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, 510301, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhuang", 
        "givenName": "Wei", 
        "id": "sg:person.015720555633.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015720555633.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tsinghua University", 
          "id": "https://www.grid.ac/institutes/grid.12527.33", 
          "name": [
            "Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, 100084, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Fanghua", 
        "id": "sg:person.01220134157.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220134157.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Atmospheric Physics", 
          "id": "https://www.grid.ac/institutes/grid.424023.3", 
          "name": [
            "International Center for Climate and Environment Science, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zheng", 
        "givenName": "Fei", 
        "id": "sg:person.010261047323.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010261047323.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, 100081, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Tongwen", 
        "id": "sg:person.011614003333.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011614003333.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "South China Sea Institute Of Oceanology", 
          "id": "https://www.grid.ac/institutes/grid.458498.c", 
          "name": [
            "State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, 510301, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xin", 
        "id": "sg:person.07430013337.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07430013337.61"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00376-009-0359-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000233556", 
          "https://doi.org/10.1007/s00376-009-0359-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-009-0359-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000233556", 
          "https://doi.org/10.1007/s00376-009-0359-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-009-0359-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000233556", 
          "https://doi.org/10.1007/s00376-009-0359-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physd.2006.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002281996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2010jc006634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002916279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2007jcli1824.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003410240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-007-0332-2_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006163792", 
          "https://doi.org/10.1007/978-94-007-0332-2_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-007-0332-2_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006163792", 
          "https://doi.org/10.1007/978-94-007-0332-2_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/os-11-187-2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007448269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2011gl049576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008452202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-013-2198-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009367212", 
          "https://doi.org/10.1007/s00376-013-2198-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13351-014-3041-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010421819", 
          "https://doi.org/10.1007/s13351-014-3041-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10236-012-0566-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015279059", 
          "https://doi.org/10.1007/s10236-012-0566-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2003jc002224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016305744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/os-1-45-2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016656091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/os-1-45-2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016656091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-013-1711-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016783401", 
          "https://doi.org/10.1007/s00382-013-1711-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl022463", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018380887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl022463", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018380887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2008jcli2624.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018500945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2002jd002670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020320930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006jd007654", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020745106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1357/002224008787157458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022288935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli-d-12-00107.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023100034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qj.2063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026211879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1998)126<1013:aicmfe>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026986239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jc005258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027857331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jc005258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027857331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007jc004388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028833754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pnsc.2007.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030674917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/43854", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031405299", 
          "https://doi.org/10.1038/43854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/43854", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031405299", 
          "https://doi.org/10.1038/43854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2012gl053240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032988684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-010-0954-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035301089", 
          "https://doi.org/10.1007/s00382-010-0954-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2012gl052032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035385029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004gl020579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036077032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2013jc009376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036538062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2012gl052355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037502204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2008jcli2309.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037831650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-008-0361-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039454678", 
          "https://doi.org/10.1007/s00376-008-0361-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-008-0361-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039454678", 
          "https://doi.org/10.1007/s00376-008-0361-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli-d-12-00566.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039583792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2007jcli2100.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040291252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10236-009-0206-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042171516", 
          "https://doi.org/10.1007/s10236-009-0206-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10236-009-0206-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042171516", 
          "https://doi.org/10.1007/s10236-009-0206-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10236-009-0206-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042171516", 
          "https://doi.org/10.1007/s10236-009-0206-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10236-009-0206-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042171516", 
          "https://doi.org/10.1007/s10236-009-0206-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11434-012-5232-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042638817", 
          "https://doi.org/10.1007/s11434-012-5232-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006jc003798", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045108661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-012-1463-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045375001", 
          "https://doi.org/10.1007/s00382-012-1463-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli4259.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045476962"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(1993)006<0114:airtgs>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045702095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ocemod.2008.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046379547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2009gl037929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047413307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2009gl037929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047413307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004jc002378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048679136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl022860", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048879926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl022860", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048879926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/osd-9-1519-2012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052598914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.2013.2279606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061613146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0485(1993)023<0517:dafonp>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063422457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jpo-d-11-061.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063455555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3402/tellusa.v66.21074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071280890"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-02", 
    "datePublishedReg": "2016-02-01", 
    "description": "The second-generation Global Ocean Data Assimilation System of the Beijing Climate Center (BCC GODAS2.0) has been run daily in a pre-operational mode. It spans the period 1990 to the present day. The goal of this paper is to introduce the main components and to evaluate BCC GODAS2.0 for the user community. BCC GODAS2.0 consists of an observational data preprocess, ocean data quality control system, a three-dimensional variational (3DVAR) data assimilation, and global ocean circulation model [Modular Ocean Model 4 (MOM4)]. MOM4 is driven by six-hourly fluxes from the National Centers for Environmental Prediction. Satellite altimetry data, SST, and in-situ temperature and salinity data are assimilated in real time. The monthly results from the BCC GODAS2.0 reanalysis are compared and assessed with observations for 1990\u20132011. The climatology of the mixed layer depth of BCC GODAS2.0 is generally in agreement with that ofWorld Ocean Atlas 2001. The modeled sea level variations in the tropical Pacific are consistent with observations from satellite altimetry on interannual to decadal time scales. Performances in predicting variations in the SST using BCC GODAS2.0 are evaluated. The standard deviation of the SST in BCC GODAS2.0 agrees well with observations in the tropical Pacific. BCC GODAS2.0 is able to capture the main features of El Ni\u02dcno Modoki I and Modoki II, which have different impacts on rainfall in southern China. In addition, the relationships between the Indian Ocean and the two types of El Ni\u02dcno Modoki are also reproduced.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00376-015-4282-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1135901", 
        "issn": [
          "0256-1530", 
          "1861-9533"
        ], 
        "name": "Advances in Atmospheric Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "33"
      }
    ], 
    "name": "Evaluation of the tropical variability from the Beijing Climate Center\u2019s real-time operational global Ocean Data Assimilation System", 
    "pagination": "208-220", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2098dfb52ad4a4599e42cfa9cdf0ab738e26e35be58617a9024207c261df0427"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00376-015-4282-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006843260"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00376-015-4282-9", 
      "https://app.dimensions.ai/details/publication/pub.1006843260"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:18", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000581.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00376-015-4282-9"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00376-015-4282-9'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00376-015-4282-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00376-015-4282-9'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00376-015-4282-9'


 

This table displays all metadata directly associated to this object as RDF triples.

274 TRIPLES      21 PREDICATES      77 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00376-015-4282-9 schema:about anzsrc-for:04
2 anzsrc-for:0405
3 schema:author N1ffc764930b6495b862c585be7ff89fc
4 schema:citation sg:pub.10.1007/978-94-007-0332-2_20
5 sg:pub.10.1007/s00376-008-0361-5
6 sg:pub.10.1007/s00376-009-0359-7
7 sg:pub.10.1007/s00376-013-2198-9
8 sg:pub.10.1007/s00382-010-0954-4
9 sg:pub.10.1007/s00382-012-1463-4
10 sg:pub.10.1007/s00382-013-1711-2
11 sg:pub.10.1007/s10236-009-0206-5
12 sg:pub.10.1007/s10236-012-0566-0
13 sg:pub.10.1007/s11434-012-5232-x
14 sg:pub.10.1007/s13351-014-3041-7
15 sg:pub.10.1038/43854
16 https://doi.org/10.1002/2013jc009376
17 https://doi.org/10.1002/qj.2063
18 https://doi.org/10.1016/j.ocemod.2008.10.002
19 https://doi.org/10.1016/j.physd.2006.11.008
20 https://doi.org/10.1016/j.pnsc.2007.12.007
21 https://doi.org/10.1029/2002jd002670
22 https://doi.org/10.1029/2003jc002224
23 https://doi.org/10.1029/2004gl020579
24 https://doi.org/10.1029/2004jc002378
25 https://doi.org/10.1029/2005gl022463
26 https://doi.org/10.1029/2005gl022860
27 https://doi.org/10.1029/2006jc003798
28 https://doi.org/10.1029/2006jd007654
29 https://doi.org/10.1029/2007jc004388
30 https://doi.org/10.1029/2008jc005258
31 https://doi.org/10.1029/2009gl037929
32 https://doi.org/10.1029/2010jc006634
33 https://doi.org/10.1029/2011gl049576
34 https://doi.org/10.1029/2012gl052032
35 https://doi.org/10.1029/2012gl052355
36 https://doi.org/10.1029/2012gl053240
37 https://doi.org/10.1109/tgrs.2013.2279606
38 https://doi.org/10.1175/1520-0442(1993)006<0114:airtgs>2.0.co;2
39 https://doi.org/10.1175/1520-0485(1993)023<0517:dafonp>2.0.co;2
40 https://doi.org/10.1175/1520-0493(1998)126<1013:aicmfe>2.0.co;2
41 https://doi.org/10.1175/2007jcli1824.1
42 https://doi.org/10.1175/2007jcli2100.1
43 https://doi.org/10.1175/2008jcli2309.1
44 https://doi.org/10.1175/2008jcli2624.1
45 https://doi.org/10.1175/jcli-d-12-00107.1
46 https://doi.org/10.1175/jcli-d-12-00566.1
47 https://doi.org/10.1175/jcli4259.1
48 https://doi.org/10.1175/jpo-d-11-061.1
49 https://doi.org/10.1357/002224008787157458
50 https://doi.org/10.3402/tellusa.v66.21074
51 https://doi.org/10.5194/os-1-45-2005
52 https://doi.org/10.5194/os-11-187-2015
53 https://doi.org/10.5194/osd-9-1519-2012
54 schema:datePublished 2016-02
55 schema:datePublishedReg 2016-02-01
56 schema:description The second-generation Global Ocean Data Assimilation System of the Beijing Climate Center (BCC GODAS2.0) has been run daily in a pre-operational mode. It spans the period 1990 to the present day. The goal of this paper is to introduce the main components and to evaluate BCC GODAS2.0 for the user community. BCC GODAS2.0 consists of an observational data preprocess, ocean data quality control system, a three-dimensional variational (3DVAR) data assimilation, and global ocean circulation model [Modular Ocean Model 4 (MOM4)]. MOM4 is driven by six-hourly fluxes from the National Centers for Environmental Prediction. Satellite altimetry data, SST, and in-situ temperature and salinity data are assimilated in real time. The monthly results from the BCC GODAS2.0 reanalysis are compared and assessed with observations for 1990–2011. The climatology of the mixed layer depth of BCC GODAS2.0 is generally in agreement with that ofWorld Ocean Atlas 2001. The modeled sea level variations in the tropical Pacific are consistent with observations from satellite altimetry on interannual to decadal time scales. Performances in predicting variations in the SST using BCC GODAS2.0 are evaluated. The standard deviation of the SST in BCC GODAS2.0 agrees well with observations in the tropical Pacific. BCC GODAS2.0 is able to capture the main features of El Ni˜no Modoki I and Modoki II, which have different impacts on rainfall in southern China. In addition, the relationships between the Indian Ocean and the two types of El Ni˜no Modoki are also reproduced.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree true
60 schema:isPartOf N32f346ff7fa64c19a4e978d1312ea30a
61 N9fe26c6ad66d427594a638e0db47a2b0
62 sg:journal.1135901
63 schema:name Evaluation of the tropical variability from the Beijing Climate Center’s real-time operational global Ocean Data Assimilation System
64 schema:pagination 208-220
65 schema:productId N4c9ba2f942174c27968d134e3aaa01ff
66 Nb95842dfa87a4f24bbee9132380cc70c
67 Nc0092f6dfa874ff7bfcdad7574897c56
68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006843260
69 https://doi.org/10.1007/s00376-015-4282-9
70 schema:sdDatePublished 2019-04-10T19:18
71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
72 schema:sdPublisher N932fc31efeb24a229d214aafeb50dcf6
73 schema:url http://link.springer.com/10.1007/s00376-015-4282-9
74 sgo:license sg:explorer/license/
75 sgo:sdDataset articles
76 rdf:type schema:ScholarlyArticle
77 N1ffc764930b6495b862c585be7ff89fc rdf:first sg:person.016100506610.31
78 rdf:rest N697d28854c2241c7a5a98f6edb92f737
79 N2e03959e96f4450c920ffa379ba6997d rdf:first sg:person.011614003333.14
80 rdf:rest Ne983570f60b94f468ad5424bd42e378f
81 N2ed5937c420b4da0bcdb756ee3ddc5e0 rdf:first sg:person.01220134157.28
82 rdf:rest N4f39bf8f98ac42dab1efda70c486a796
83 N32f346ff7fa64c19a4e978d1312ea30a schema:volumeNumber 33
84 rdf:type schema:PublicationVolume
85 N4c9ba2f942174c27968d134e3aaa01ff schema:name doi
86 schema:value 10.1007/s00376-015-4282-9
87 rdf:type schema:PropertyValue
88 N4f39bf8f98ac42dab1efda70c486a796 rdf:first sg:person.010261047323.50
89 rdf:rest N2e03959e96f4450c920ffa379ba6997d
90 N697d28854c2241c7a5a98f6edb92f737 rdf:first sg:person.012763015714.53
91 rdf:rest N96054b1206a54b2d8b57ce611931d32b
92 N932fc31efeb24a229d214aafeb50dcf6 schema:name Springer Nature - SN SciGraph project
93 rdf:type schema:Organization
94 N96054b1206a54b2d8b57ce611931d32b rdf:first sg:person.015720555633.18
95 rdf:rest N2ed5937c420b4da0bcdb756ee3ddc5e0
96 N9fe26c6ad66d427594a638e0db47a2b0 schema:issueNumber 2
97 rdf:type schema:PublicationIssue
98 Nb95842dfa87a4f24bbee9132380cc70c schema:name readcube_id
99 schema:value 2098dfb52ad4a4599e42cfa9cdf0ab738e26e35be58617a9024207c261df0427
100 rdf:type schema:PropertyValue
101 Nc0092f6dfa874ff7bfcdad7574897c56 schema:name dimensions_id
102 schema:value pub.1006843260
103 rdf:type schema:PropertyValue
104 Ne983570f60b94f468ad5424bd42e378f rdf:first sg:person.07430013337.61
105 rdf:rest rdf:nil
106 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
107 schema:name Earth Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0405 schema:inDefinedTermSet anzsrc-for:
110 schema:name Oceanography
111 rdf:type schema:DefinedTerm
112 sg:journal.1135901 schema:issn 0256-1530
113 1861-9533
114 schema:name Advances in Atmospheric Sciences
115 rdf:type schema:Periodical
116 sg:person.010261047323.50 schema:affiliation https://www.grid.ac/institutes/grid.424023.3
117 schema:familyName Zheng
118 schema:givenName Fei
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010261047323.50
120 rdf:type schema:Person
121 sg:person.011614003333.14 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
122 schema:familyName Wu
123 schema:givenName Tongwen
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011614003333.14
125 rdf:type schema:Person
126 sg:person.01220134157.28 schema:affiliation https://www.grid.ac/institutes/grid.12527.33
127 schema:familyName Xu
128 schema:givenName Fanghua
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220134157.28
130 rdf:type schema:Person
131 sg:person.012763015714.53 schema:affiliation https://www.grid.ac/institutes/grid.458498.c
132 schema:familyName Chen
133 schema:givenName Mengyan
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012763015714.53
135 rdf:type schema:Person
136 sg:person.015720555633.18 schema:affiliation https://www.grid.ac/institutes/grid.458498.c
137 schema:familyName Zhuang
138 schema:givenName Wei
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015720555633.18
140 rdf:type schema:Person
141 sg:person.016100506610.31 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
142 schema:familyName Zhou
143 schema:givenName Wei
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016100506610.31
145 rdf:type schema:Person
146 sg:person.07430013337.61 schema:affiliation https://www.grid.ac/institutes/grid.458498.c
147 schema:familyName Wang
148 schema:givenName Xin
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07430013337.61
150 rdf:type schema:Person
151 sg:pub.10.1007/978-94-007-0332-2_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006163792
152 https://doi.org/10.1007/978-94-007-0332-2_20
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s00376-008-0361-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039454678
155 https://doi.org/10.1007/s00376-008-0361-5
156 rdf:type schema:CreativeWork
157 sg:pub.10.1007/s00376-009-0359-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000233556
158 https://doi.org/10.1007/s00376-009-0359-7
159 rdf:type schema:CreativeWork
160 sg:pub.10.1007/s00376-013-2198-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009367212
161 https://doi.org/10.1007/s00376-013-2198-9
162 rdf:type schema:CreativeWork
163 sg:pub.10.1007/s00382-010-0954-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035301089
164 https://doi.org/10.1007/s00382-010-0954-4
165 rdf:type schema:CreativeWork
166 sg:pub.10.1007/s00382-012-1463-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045375001
167 https://doi.org/10.1007/s00382-012-1463-4
168 rdf:type schema:CreativeWork
169 sg:pub.10.1007/s00382-013-1711-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016783401
170 https://doi.org/10.1007/s00382-013-1711-2
171 rdf:type schema:CreativeWork
172 sg:pub.10.1007/s10236-009-0206-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042171516
173 https://doi.org/10.1007/s10236-009-0206-5
174 rdf:type schema:CreativeWork
175 sg:pub.10.1007/s10236-012-0566-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015279059
176 https://doi.org/10.1007/s10236-012-0566-0
177 rdf:type schema:CreativeWork
178 sg:pub.10.1007/s11434-012-5232-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042638817
179 https://doi.org/10.1007/s11434-012-5232-x
180 rdf:type schema:CreativeWork
181 sg:pub.10.1007/s13351-014-3041-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010421819
182 https://doi.org/10.1007/s13351-014-3041-7
183 rdf:type schema:CreativeWork
184 sg:pub.10.1038/43854 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031405299
185 https://doi.org/10.1038/43854
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1002/2013jc009376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036538062
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1002/qj.2063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026211879
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.ocemod.2008.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046379547
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.physd.2006.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002281996
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.pnsc.2007.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030674917
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1029/2002jd002670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020320930
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1029/2003jc002224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016305744
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1029/2004gl020579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036077032
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1029/2004jc002378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048679136
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1029/2005gl022463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018380887
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1029/2005gl022860 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048879926
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1029/2006jc003798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045108661
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1029/2006jd007654 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020745106
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1029/2007jc004388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028833754
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1029/2008jc005258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027857331
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1029/2009gl037929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047413307
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1029/2010jc006634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002916279
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1029/2011gl049576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008452202
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1029/2012gl052032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035385029
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1029/2012gl052355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037502204
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1029/2012gl053240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032988684
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1109/tgrs.2013.2279606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061613146
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1175/1520-0442(1993)006<0114:airtgs>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045702095
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1175/1520-0485(1993)023<0517:dafonp>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063422457
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1175/1520-0493(1998)126<1013:aicmfe>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026986239
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1175/2007jcli1824.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003410240
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1175/2007jcli2100.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040291252
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1175/2008jcli2309.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037831650
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1175/2008jcli2624.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018500945
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1175/jcli-d-12-00107.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023100034
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1175/jcli-d-12-00566.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039583792
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1175/jcli4259.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045476962
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1175/jpo-d-11-061.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063455555
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1357/002224008787157458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022288935
254 rdf:type schema:CreativeWork
255 https://doi.org/10.3402/tellusa.v66.21074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071280890
256 rdf:type schema:CreativeWork
257 https://doi.org/10.5194/os-1-45-2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016656091
258 rdf:type schema:CreativeWork
259 https://doi.org/10.5194/os-11-187-2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007448269
260 rdf:type schema:CreativeWork
261 https://doi.org/10.5194/osd-9-1519-2012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052598914
262 rdf:type schema:CreativeWork
263 https://www.grid.ac/institutes/grid.12527.33 schema:alternateName Tsinghua University
264 schema:name Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, 100084, Beijing, China
265 rdf:type schema:Organization
266 https://www.grid.ac/institutes/grid.424023.3 schema:alternateName Institute of Atmospheric Physics
267 schema:name International Center for Climate and Environment Science, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China
268 rdf:type schema:Organization
269 https://www.grid.ac/institutes/grid.458498.c schema:alternateName South China Sea Institute Of Oceanology
270 schema:name State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, 510301, Guangzhou, China
271 rdf:type schema:Organization
272 https://www.grid.ac/institutes/grid.8658.3 schema:alternateName China Meteorological Administration
273 schema:name Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, 100081, Beijing, China
274 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...