[1] |
Ingleby B, Huddleston M.Quality control of ocean temperature and salinity profiles: Historical and real-time data[J]. Journal of Marine Systems, 2007, 65(1/4):158-175.
doi: 10.1016/j.jmarsys.2005.11.019
URL
|
|
Ingleby B, Huddleston M.Quality control of ocean temperature and salinity profiles: Historical and real-time data[J]. Journal of Marine Systems, 2007, 65(1/4):158-175.
doi: 10.1016/j.jmarsys.2005.11.019
URL
|
[2] |
Guinehut S, Dhomps A L, Larnicol G, et al. High resolution 3-D temperature and salinity fields derived from in situ and satellite observations[J]. Ocean Science, 2012, 8(5):1 313-1 347.
|
|
Guinehut S, Dhomps A L, Larnicol G, et al. High resolution 3-D temperature and salinity fields derived from in situ and satellite observations[J]. Ocean Science, 2012, 8(5):1 313-1 347.
|
[3] |
Mulet S, Rio M H, Mignot A, et al. A new estimate of the global 3D geostrophic ocean circulation based on satellite data. A new estimate of the global 3D geostrophic ocean circulation based on satellite data and in-situ measurements[J]. Deep Sea Research Part II: Topical Studies in Oceanography, 2012, 77/80(1/2):70-81.
|
|
Mulet S, Rio M H, Mignot A, et al. A new estimate of the global 3D geostrophic ocean circulation based on satellite data. A new estimate of the global 3D geostrophic ocean circulation based on satellite data and in-situ measurements[J]. Deep Sea Research Part II: Topical Studies in Oceanography, 2012, 77/80(1/2):70-81.
|
[4] |
Qiao Fangli, Zhang Shaoqing.The unification and application reviews of modern oceanic/atomospheric data assimilation algorithms[J]. Advances in Marine Science, 2002, 20(4):79-93.
doi: 10.3969/j.issn.1671-6647.2002.04.013
URL
|
|
Qiao Fangli, Zhang Shaoqing.The unification and application reviews of modern oceanic/atomospheric data assimilation algorithms[J]. Advances in Marine Science, 2002, 20(4):79-93.
|
|
[乔方利, Zhang Shaoqing.现代海洋/大气资料同化方法的统一性及其应用进展[J]. 海洋科学进展, 2002, 20(4):79-93.]
doi: 10.3969/j.issn.1671-6647.2002.04.013
URL
|
|
[乔方利, Zhang Shaoqing.现代海洋/大气资料同化方法的统一性及其应用进展[J]. 海洋科学进展, 2002, 20(4):79-93.]
doi: 10.3969/j.issn.1671-6647.2002.04.013
URL
|
[5] |
Bengtsson L, Shukla J.Integration of space and in situ observations to study global climate change[J]. Bulletin of the American Meteorological Society, 1988, 69(10):1 130-1 143.
doi: 10.1109/ISIC.1992.225129
URL
|
|
Bengtsson L, Shukla J.Integration of space and in situ observations to study global climate change[J]. Bulletin of the American Meteorological Society, 1988, 69(10):1 130-1 143.
doi: 10.1109/ISIC.1992.225129
URL
|
[6] |
Trenberth K E, Olson J G.Anevaluation and intercomparison of global analyses from the National Meteorological Center and the European Centre for Medium Range Weather Forecasts[J]. Bulletin of the American Meteorological Society, 1988, 69(9):1 047-1 056.
doi: 10.1175/1520-0477(1988)069<1047:AEAIOG>2.0.CO;2
URL
|
|
Trenberth K E, Olson J G.Anevaluation and intercomparison of global analyses from the National Meteorological Center and the European Centre for Medium Range Weather Forecasts[J]. Bulletin of the American Meteorological Society, 1988, 69(9):1 047-1 056.
doi: 10.1175/1520-0477(1988)069<1047:AEAIOG>2.0.CO;2
URL
|
[7] |
Hurlburt H E, Brassington G B, Drillet Y, et al. High-resolution global and basin-scale ocean analyses and forecasts[J]. Oceanography, 2009, 22(3):110-127.
doi: 10.5670/oceanog.2009.70
URL
|
|
Hurlburt H E, Brassington G B, Drillet Y, et al. High-resolution global and basin-scale ocean analyses and forecasts[J]. Oceanography, 2009, 22(3):110-127.
doi: 10.5670/oceanog.2009.70
URL
|
[8] |
Fischer M, Latif M, Flügel M, et al. The impact of data assimilation on ENSO simulations and predictions[J]. Monthly Weather Review, 1914, 125(5):1-5.
doi: 10.1175/1520-0493(1997)1252.0.CO;2
URL
|
|
Fischer M, Latif M, Flügel M, et al. The impact of data assimilation on ENSO simulations and predictions[J]. Monthly Weather Review, 1914, 125(5):1-5.
doi: 10.1175/1520-0493(1997)1252.0.CO;2
URL
|
[9] |
Behringer D W, Ji M, Leetmaa A.An Improved Coupled Model for ENSO prediction and implications for ocean initialization. Part I: The ocean data assimilation system[C]∥IEEE International Symposium on Electromagnetic Compatibility. IEEE, 1914:1 022.
|
|
Behringer D W, Ji M, Leetmaa A.An Improved Coupled Model for ENSO prediction and implications for ocean initialization. Part I: The ocean data assimilation system[C]∥IEEE International Symposium on Electromagnetic Compatibility. IEEE, 1914:1 022.
|
[10] |
Zhao Tianbao, Fu Congbin, Ke Zongjian, et al. Global atmosphere reanalysis datasets: Current status and recent advances[J]. Advances in Earth Science, 2010, 25(3): 241-254.
URL
|
|
Zhao Tianbao, Fu Congbin, Ke Zongjian, et al. Global atmosphere reanalysis datasets: Current status and recent advances[J]. Advances in Earth Science, 2010, 25(3): 241-254.
|
|
[赵天保,符淙斌,柯宗建,等. 全球大气再分析资料的研究现状与进展[J]. 地球科学进展, 2010, 25(3): 241-254.]
URL
|
|
[赵天保,符淙斌,柯宗建,等. 全球大气再分析资料的研究现状与进展[J]. 地球科学进展, 2010, 25(3): 241-254.]
URL
|
[11] |
Kalnay E, Kanamitsu M, Kistler R, et al. The NCEP/NCAR 40-Year Reanalysis Project[J]. Bulletin of the American Meteorological Society, 1996, 77(3):437-472.
doi: 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
URL
|
|
Kalnay E, Kanamitsu M, Kistler R, et al. The NCEP/NCAR 40-Year Reanalysis Project[J]. Bulletin of the American Meteorological Society, 1996, 77(3):437-472.
doi: 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
URL
|
[12] |
Kistler R, Collins W, Saha S, et al. The NCEP-NCAR 50-year Reanalysis: Monthly means CD-ROM and documentation[J]. Bulletin of the American Meteorological Society, 2001, 82(2):247-268.
doi: 10.1175/1520-0477(2001)082<0247:TNNYRM>2.3.CO;2
URL
|
|
Kistler R, Collins W, Saha S, et al. The NCEP-NCAR 50-year Reanalysis: Monthly means CD-ROM and documentation[J]. Bulletin of the American Meteorological Society, 2001, 82(2):247-268.
doi: 10.1175/1520-0477(2001)082<0247:TNNYRM>2.3.CO;2
URL
|
[13] |
Kanamitsu M, Ebisuzaki W, Woollen J, et al. NCEP-DOE AMIP-II Reanalysis (R-2)[J]. Bulletin of the American Meteorological Society, 2002, 83(11):1 631-1 643.
doi: 10.1175/BAMS-83-11-1631
URL
|
|
Kanamitsu M, Ebisuzaki W, Woollen J, et al. NCEP-DOE AMIP-II Reanalysis (R-2)[J]. Bulletin of the American Meteorological Society, 2002, 83(11):1 631-1 643.
doi: 10.1175/BAMS-83-11-1631
URL
|
[14] |
Suarez M J, Takacs L L, Molod A, et al. Volume 1 documentation of the Goddard Earth Observing System (GEOS) general circulation Model—Version 1[J]. Journal of Medical Imaging & Radiation Oncology, 2012, 56(5):499-509.
|
|
Suarez M J, Takacs L L, Molod A, et al. Volume 1 documentation of the Goddard Earth Observing System (GEOS) general circulation Model—Version 1[J]. Journal of Medical Imaging & Radiation Oncology, 2012, 56(5):499-509.
|
[15] |
Suarez M J, Schubert S, Rood R, et al. Technical report series on global modeling and data assimilation. Volume 6: A multiyear assimilation with the GEOS-1 system: Overview and results[C]∥NASA Technical Memorandum, 1995.
|
|
Suarez M J, Schubert S, Rood R, et al. Technical report series on global modeling and data assimilation. Volume 6: A multiyear assimilation with the GEOS-1 system: Overview and results[C]∥NASA Technical Memorandum, 1995.
|
[16] |
Gibson J K, Kallberg P, Uppala S, et al. ERA-15 description (version 2—January 1999)[J]. ECMWF Re-Analysis Project Report Series, 1999, 1: 84.
|
|
Gibson J K, Kallberg P, Uppala S, et al. ERA-15 description (version 2—January 1999)[J]. ECMWF Re-Analysis Project Report Series, 1999, 1: 84.
|
[17] |
Uppala S M, Kallberg P W, Simmons A J, et al. The ERA-40 reanalysis[J]. Quarterly Journal of the Royal Meteorological Society, 2005, 131(612):2 961-3 012.
doi: 10.1256/qj.04.176
URL
|
|
Uppala S M, Kallberg P W, Simmons A J, et al. The ERA-40 reanalysis[J]. Quarterly Journal of the Royal Meteorological Society, 2005, 131(612):2 961-3 012.
doi: 10.1256/qj.04.176
URL
|
[18] |
Dee D P, Uppala S M, Simmons A J, et al. The ERA-Interim reanalysis: Configuration and performance of the data assimilation system[J]. Quarterly Journal of the Royal Meteorological Society, 2011, 137(656):553-597.
doi: 10.1002/qj.v137.656
URL
|
|
Dee D P, Uppala S M, Simmons A J, et al. The ERA-Interim reanalysis: Configuration and performance of the data assimilation system[J]. Quarterly Journal of the Royal Meteorological Society, 2011, 137(656):553-597.
doi: 10.1002/qj.v137.656
URL
|
[19] |
Onogi K, Tsutsui J, Koide H, et al. The JRA-25 Reanalysis[J]. Journal of the Meteorological Society of Japan, 2007, 85(3):369-432.
doi: 10.2151/jmsj.85.369
URL
|
|
Onogi K, Tsutsui J, Koide H, et al. The JRA-25 Reanalysis[J]. Journal of the Meteorological Society of Japan, 2007, 85(3):369-432.
doi: 10.2151/jmsj.85.369
URL
|
[20] |
Daley R.Atmospheric Data Analysis[M]. England: Cambridge University Press, 1993.
|
|
Daley R.Atmospheric Data Analysis[M]. England: Cambridge University Press, 1993.
|
[21] |
Kalman R E.A new approach to linear filtering and prediction problems[J]. Journal of Basic Engineering Transactions, 1960, 82:35-45.
doi: 10.1115/1.3662552
URL
|
|
Kalman R E.A new approach to linear filtering and prediction problems[J]. Journal of Basic Engineering Transactions, 1960, 82:35-45.
doi: 10.1115/1.3662552
URL
|
[22] |
Sasaki Y.An objective analysis based on the variational method[J]. Journal of the Meteorological Society of Japan, 2007, 36(3):77-88.
doi: 10.1002/qj.49703615402
URL
|
|
Sasaki Y.An objective analysis based on the variational method[J]. Journal of the Meteorological Society of Japan, 2007, 36(3):77-88.
doi: 10.1002/qj.49703615402
URL
|
[23] |
Sugiura N, Awaji T, Masuda S, et al. Development of a four-dimensional variational coupled data assimilation system for enhanced analysis and prediction of seasonal to interannual climate variations[J].Journal of Geophysical Research Oceans, 2008, 113(C10):2 601-2 613.
|
|
Sugiura N, Awaji T, Masuda S, et al. Development of a four-dimensional variational coupled data assimilation system for enhanced analysis and prediction of seasonal to interannual climate variations[J].Journal of Geophysical Research Oceans, 2008, 113(C10):2 601-2 613.
|
[24] |
Pacanowski R.MOM 2 Version 2 Documentation User's Guide and Reference Manual[R]. Princeton, New Jersey:GFDL,1996:1-3.
|
|
Pacanowski R.MOM 2 Version 2 Documentation User's Guide and Reference Manual[R]. Princeton, New Jersey:GFDL,1996:1-3.
|
[25] |
Smith R D, Gent P.The Parallel Ocean Program (POP) Reference Manual[R]. Los Alamos, New Mexico: LANL, 2010:4-5.
|
|
Smith R D, Gent P.The Parallel Ocean Program (POP) Reference Manual[R]. Los Alamos, New Mexico: LANL, 2010:4-5.
|
[26] |
Ricciardulli L, Wentz F J.Ascatterometer geophysical godel function for climate-quality winds: QuikSCAT Ku-2011[J]. Journal of Atmospheric & Oceanic Technology, 2014, 32(10):150904131243002.
doi: 10.1175/JTECH-D-15-0008.1
URL
|
|
Ricciardulli L, Wentz F J.Ascatterometer geophysical godel function for climate-quality winds: QuikSCAT Ku-2011[J]. Journal of Atmospheric & Oceanic Technology, 2014, 32(10):150904131243002.
doi: 10.1175/JTECH-D-15-0008.1
URL
|
[27] |
Marotzke J, Giering R, Zhang K Q, et al. Construction of the adjoint MIT ocean general circulation model and application to Atlantic heat transport sensitivity[J]. Journal of Geophysical Research Oceans, 1999, 104(C12):29 529-29 547.
doi: 10.1029/1999JC900236
URL
|
|
Marotzke J, Giering R, Zhang K Q, et al. Construction of the adjoint MIT ocean general circulation model and application to Atlantic heat transport sensitivity[J]. Journal of Geophysical Research Oceans, 1999, 104(C12):29 529-29 547.
doi: 10.1029/1999JC900236
URL
|
[28] |
Wunsch C, Heimbach P, Rui M P, et al. Theglobal general circulation of the ocean estimated by the ECCO-consortium[J]. Oceanography, 2009, 22(2):88-103.
doi: 10.5670/oceanog.2009.41
URL
|
|
Wunsch C, Heimbach P, Rui M P, et al. Theglobal general circulation of the ocean estimated by the ECCO-consortium[J]. Oceanography, 2009, 22(2):88-103.
doi: 10.5670/oceanog.2009.41
URL
|
[29] |
Menemenlis D, Hill C, Adcrocft A, et al. NASA supercomputer improves prospects for ocean climate research[J]. Eos Transactions American Geophysical Union, 2005, 86(9):89-96.
doi: 10.1029/2005EO090002
URL
|
|
Menemenlis D, Hill C, Adcrocft A, et al. NASA supercomputer improves prospects for ocean climate research[J]. Eos Transactions American Geophysical Union, 2005, 86(9):89-96.
doi: 10.1029/2005EO090002
URL
|
[30] |
Menemenlis D, Campin J, Heimbach P, et al. ECCO2:High Resolution Global Ocean and Sea Ice Data Synthesis[C]∥AGU Fall Meeting. AGU Fall Meeting Abstracts, 2008.
|
|
Menemenlis D, Campin J, Heimbach P, et al. ECCO2:High Resolution Global Ocean and Sea Ice Data Synthesis[C]∥AGU Fall Meeting. AGU Fall Meeting Abstracts, 2008.
|
[31] |
Forget G, Campin J M, Heimbach P, et al. ECCO version 4: An integrated framework for non-linear inverse modeling and global ocean state estimation[J]. Geoscientific Model Development Discussions, 2015, 8(5):3 653-3 743.
|
|
Forget G, Campin J M, Heimbach P, et al. ECCO version 4: An integrated framework for non-linear inverse modeling and global ocean state estimation[J]. Geoscientific Model Development Discussions, 2015, 8(5):3 653-3 743.
|
[32] |
Forget G, Campin J M, Heimbach P, et al. ECCO Version 4 Release 3[EB/OL].[2017-12-20]. ,2016.
URL
|
|
Forget G, Campin J M, Heimbach P, et al. ECCO Version 4 Release 3[EB/OL].[2017-12-20]. ,2016.
URL
|
[33] |
K?hl A, Stammer D.Decadal sea level changes in the 50-year GECCO Ocean Synthesis[J].Journal of Physical Oceanography, 2008, 21(9):1 876-1 890.
doi: 10.1175/2007JCLI2081.1
URL
|
|
Köhl A, Stammer D.Decadal sea level changes in the 50-year GECCO Ocean Synthesis[J].Journal of Physical Oceanography, 2008, 21(9):1 876-1 890.
doi: 10.1175/2007JCLI2081.1
URL
|
[34] |
K?hl A.Evaluation of the GECCO2 ocean synthesis: Transports of volume, heat and freshwater in the Atlantic[J]. Quarterly Journal of the Royal Meteorological Society, 2015, 141(686):166-181.
doi: 10.1002/qj.2347
URL
|
|
Köhl A.Evaluation of the GECCO2 ocean synthesis: Transports of volume, heat and freshwater in the Atlantic[J]. Quarterly Journal of the Royal Meteorological Society, 2015, 141(686):166-181.
doi: 10.1002/qj.2347
URL
|
[35] |
Wunsch C, Heimbach P.Theglobal zonally integrated ocean circulation, 1992-2006: Seasonal and decadal variability[J]. Journal of Physical Oceanography, 2009, 39(2):351-368.
doi: 10.1175/2008JPO4012.1
URL
|
|
Wunsch C, Heimbach P.Theglobal zonally integrated ocean circulation, 1992-2006: Seasonal and decadal variability[J]. Journal of Physical Oceanography, 2009, 39(2):351-368.
doi: 10.1175/2008JPO4012.1
URL
|
[36] |
Fukumori I.Apartitioned kalman filter and smoother[J]. Monthly Weather Review, 2002, 130(5):1 370-1 383.
doi: 10.1175/1520-0493(2002)1302.0.CO;2
URL
|
|
Fukumori I.Apartitioned kalman filter and smoother[J]. Monthly Weather Review, 2002, 130(5):1 370-1 383.
doi: 10.1175/1520-0493(2002)1302.0.CO;2
URL
|
[37] |
K?hl A, Stammer D, Cornuelle B.Interannual to decadal changes in the ECCO global synthesis[J]. Journal of Physical Oceanography, 2007, 37(37):313-337.
doi: 10.1175/JPO3014.1
URL
|
|
Köhl A, Stammer D, Cornuelle B.Interannual to decadal changes in the ECCO global synthesis[J]. Journal of Physical Oceanography, 2007, 37(37):313-337.
doi: 10.1175/JPO3014.1
URL
|
[38] |
Bleck R, Boudra D B.Initialtesting of a numerical ocean circulation model using a hybrid (Quasi-Isopycnic) vertical coordinate[J]. Journal of Physical Oceanography, 1981, 11(11):755-770.
doi: 10.1175/1520-0485(1981)011<0755:ITOANO>2.0.CO;2
URL
|
|
Bleck R, Boudra D B.Initialtesting of a numerical ocean circulation model using a hybrid (Quasi-Isopycnic) vertical coordinate[J]. Journal of Physical Oceanography, 1981, 11(11):755-770.
doi: 10.1175/1520-0485(1981)011<0755:ITOANO>2.0.CO;2
URL
|
[39] |
Bleck R, Benjamin S G.Regionalweather prediction with a model combining terrain-following and isentropic coordinates. Part I: Model description[J]. Monthly Weather Review, 1993, 121(6):1 770.
doi: 10.1175/1520-0493(1993)121<1770:RWPWAM>2.0.CO;2
URL
|
|
Bleck R, Benjamin S G.Regionalweather prediction with a model combining terrain-following and isentropic coordinates. Part I: Model description[J]. Monthly Weather Review, 1993, 121(6):1 770.
doi: 10.1175/1520-0493(1993)121<1770:RWPWAM>2.0.CO;2
URL
|
[40] |
Chassignet E P, Hurlburt H E, Smedstad O M, et al. The HYCOM (HYbrid Coordinate Ocean Model) data assimilative system[J]. Journal of Marine Systems, 2007, 65(1/4):60-83.
doi: 10.1016/j.jmarsys.2005.09.016
URL
|
|
Chassignet E P, Hurlburt H E, Smedstad O M, et al. The HYCOM (HYbrid Coordinate Ocean Model) data assimilative system[J]. Journal of Marine Systems, 2007, 65(1/4):60-83.
doi: 10.1016/j.jmarsys.2005.09.016
URL
|
[41] |
Balmaseda M A, Vidard A, Anderson D L T. The ECMWF ocean analysis system: ORA-S3[J]. Monthly Weather Review, 2008, 136(8):3 018.
doi: 10.1175/2008MWR2433.1
URL
|
|
Balmaseda M A, Vidard A, Anderson D L T. The ECMWF ocean analysis system: ORA-S3[J]. Monthly Weather Review, 2008, 136(8):3 018.
doi: 10.1175/2008MWR2433.1
URL
|
[42] |
Balmaseda M A, Mogensen K, Weaver A T.Evaluation of the ECMWF ocean reanalysis system ORAS4[J]. Quarterly Journal of the Royal Meteorological Society, 2013, 139(674):1 132-1 161.
doi: 10.1002/qj.2063
URL
|
|
Balmaseda M A, Mogensen K, Weaver A T.Evaluation of the ECMWF ocean reanalysis system ORAS4[J]. Quarterly Journal of the Royal Meteorological Society, 2013, 139(674):1 132-1 161.
doi: 10.1002/qj.2063
URL
|
[43] |
Zuo H, Balmaseda M A, Mogensen K.The new eddy-permitting ORAP5 ocean reanalysis: Description, evaluation and uncertainties in climate signals[J]. Climate Dynamics, 2017,49:791-811.
doi: 10.1007/s00382-015-2675-1
URL
|
|
Zuo H, Balmaseda M A, Mogensen K.The new eddy-permitting ORAP5 ocean reanalysis: Description, evaluation and uncertainties in climate signals[J]. Climate Dynamics, 2017,49:791-811.
doi: 10.1007/s00382-015-2675-1
URL
|
[44] |
Ferry N, Parent L, Garric G, et al. Mercator global eddy permitting, ocean reanalysis GLORYS1V1: Description and results[J]. Mercator-Ocean Quarterly Newsletter, 2010,36:15-27.
URL
|
|
Ferry N, Parent L, Garric G, et al. Mercator global eddy permitting, ocean reanalysis GLORYS1V1: Description and results[J]. Mercator-Ocean Quarterly Newsletter, 2010,36:15-27.
URL
|
[45] |
Parent L, Ferry N, Garric G, et al. GLORYS2: A Global Ocean Reanalysis Simulation of the Period 1992-Present[Z]. Geophysical Reearch Abstracts,2011.
|
|
Parent L, Ferry N, Garric G, et al. GLORYS2: A Global Ocean Reanalysis Simulation of the Period 1992-Present[Z]. Geophysical Reearch Abstracts,2011.
|
[46] |
Fichefet T, Maqueda M A M. Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics[J]. Journal of Geophysical Research Oceans, 1997, 102(C6):12 609-12 646.
doi: 10.1029/97JC00480
URL
|
|
Fichefet T, Maqueda M A M. Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics[J]. Journal of Geophysical Research Oceans, 1997, 102(C6):12 609-12 646.
doi: 10.1029/97JC00480
URL
|
[47] |
Toyoda T, Fujii Y, Yasuda T, et al. Improved analysis of the seasonal-interannual fields by a global ocean data assimilation system[C]∥NCTAM Papers, National Congress of Theoretical and Applied Mechanics, Japan. National Committee for IUTAM, 2012:50-50.
|
|
Toyoda T, Fujii Y, Yasuda T, et al. Improved analysis of the seasonal-interannual fields by a global ocean data assimilation system[C]∥NCTAM Papers, National Congress of Theoretical and Applied Mechanics, Japan. National Committee for IUTAM, 2012:50-50.
|
[48] |
Tsujino H, MotoI T, Ishikawa I, et al. Reference Manual for the Meteorological Research Institute Community Ocean Model (MRI.COM) Version 3[R]. Tsukuba:Meteorological Research Institute,2010:9-23.
|
|
Tsujino H, MotoI T, Ishikawa I, et al. Reference Manual for the Meteorological Research Institute Community Ocean Model (MRI.COM) Version 3[R]. Tsukuba:Meteorological Research Institute,2010:9-23.
|
[49] |
Kobayashi S, Ota Y, Harada Y, et al. The JRA-55 reanalysis: General specifications and basic characteristics[J]. Journal of the Meteorological Society of Japan, 2015, 93(1):5-48.
doi: 10.2151/jmsj.2015-001
URL
|
|
Kobayashi S, Ota Y, Harada Y, et al. The JRA-55 reanalysis: General specifications and basic characteristics[J]. Journal of the Meteorological Society of Japan, 2015, 93(1):5-48.
doi: 10.2151/jmsj.2015-001
URL
|
[50] |
Fujii Y, Kamachi M.Three-dimensional analysis of temperature and salinity in the equatorial Pacific using a variational method with vertical coupled temperature-salinity EOF modes[J]. Journal of Geophysical Research Oceans, 2003, 108(C9):11-19.
|
|
Fujii Y, Kamachi M.Three-dimensional analysis of temperature and salinity in the equatorial Pacific using a variational method with vertical coupled temperature-salinity EOF modes[J]. Journal of Geophysical Research Oceans, 2003, 108(C9):11-19.
|
[51] |
Masuda S, Awaji T, Sugiura N, et al. Simulated rapid warming of abyssal North Pacific waters[J]. Science, 2010, 329(5 989):319.
doi: 10.1126/science.1188703
URL
pmid: 20576848
|
|
Masuda S, Awaji T, Sugiura N, et al. Simulated rapid warming of abyssal North Pacific waters[J]. Science, 2010, 329(5 989):319.
doi: 10.1126/science.1188703
URL
pmid: 20576848
|
[52] |
Yuan Yeli, Qiao Fangli, Hua Feng, et al. The development of a coastal circulation numerical model: 1. Wave-induced mixing and wave-current interaction[J].Journal of Hydrodynamics (Series A), 1999, 14(4B): 1-8.
|
|
Yuan Yeli, Qiao Fangli, Hua Feng, et al. The development of a coastal circulation numerical model: 1. Wave-induced mixing and wave-current interaction[J].Journal of Hydrodynamics (Series A), 1999, 14(4B): 1-8.
|
|
[袁业立,乔方利,华锋,等. 近海环流数值模式的建立,部分1:海波的搅拌和波—流相互作用[J]. 水动力学研究与进展:A辑,1999,14(4B):1-8.]
|
|
[袁业立,乔方利,华锋,等. 近海环流数值模式的建立,部分1:海波的搅拌和波—流相互作用[J]. 水动力学研究与进展:A辑,1999,14(4B):1-8.]
|
[53] |
Qiao Fangli, Yuan Yeli, Yang Yongzeng, et al. Wave-induced mixing in the upper ocean: Distribution and application to a global ocean circulation model[J]. Geophysical Research Letters, 2004, 31(11):293-317.
|
|
Qiao Fangli, Yuan Yeli, Yang Yongzeng, et al. Wave-induced mixing in the upper ocean: Distribution and application to a global ocean circulation model[J]. Geophysical Research Letters, 2004, 31(11):293-317.
|
[54] |
Qiao Fangli, Yuan Yeli, Ezer T, et al. A three-dimensional surface wave-ocean circulation coupled model and its initial testing[J]. Ocean Dynamics, 2010, 60(5):1 339-1 355.
doi: 10.1007/s10236-010-0326-y
URL
|
|
Qiao Fangli, Yuan Yeli, Ezer T, et al. A three-dimensional surface wave-ocean circulation coupled model and its initial testing[J]. Ocean Dynamics, 2010, 60(5):1 339-1 355.
doi: 10.1007/s10236-010-0326-y
URL
|
[55] |
Dai Dejun, Qiao Fangli, Sulisz W, et al. An experiment on the nonbreaking surface-wave-induced vertical mixing[J]. Journal of Physical Oceanography, 2010, 40(9):2 180-2 188.
doi: 10.1175/2010JPO4378.1
URL
|
|
Dai Dejun, Qiao Fangli, Sulisz W, et al. An experiment on the nonbreaking surface-wave-induced vertical mixing[J]. Journal of Physical Oceanography, 2010, 40(9):2 180-2 188.
doi: 10.1175/2010JPO4378.1
URL
|
[56] |
Huang N E, Hu K, Yang A C C, et al. On Holo-Hilbert spectral analysis: A full informational spectral representation for nonlinear and non-stationary data[J].Philosophical Transactions, 2016, 374(2 065):20150206.
doi: 10.1098/rsta.2015.0206
URL
|
|
Huang N E, Hu K, Yang A C C, et al. On Holo-Hilbert spectral analysis: A full informational spectral representation for nonlinear and non-stationary data[J].Philosophical Transactions, 2016, 374(2 065):20150206.
doi: 10.1098/rsta.2015.0206
URL
|
[57] |
Qiao Fangli, Yuan Yeli, Deng Jia, et al. Wave-turbulence interaction-induced vertical mixing and its effects in ocean and climate models[J]. Philosophical Transactions, 2016, 374(2 065):20150201.
doi: 10.1098/rsta.2015.0201
URL
pmid: 4792408
|
|
Qiao Fangli, Yuan Yeli, Deng Jia, et al. Wave-turbulence interaction-induced vertical mixing and its effects in ocean and climate models[J]. Philosophical Transactions, 2016, 374(2 065):20150201.
doi: 10.1098/rsta.2015.0201
URL
pmid: 4792408
|
[58] |
Lü Xingang, Qiao Fangli, Wang Guansuo, et al. Upwelling off the west coast of Hainan Island in summer: Its detection and mechanisms[J]. Geophysical Research Letters, 2008, 35(2):196-199.
doi: 10.1029/2007GL032440
URL
|
|
Lü Xingang, Qiao Fangli, Wang Guansuo, et al. Upwelling off the west coast of Hainan Island in summer: Its detection and mechanisms[J]. Geophysical Research Letters, 2008, 35(2):196-199.
doi: 10.1029/2007GL032440
URL
|
[59] |
Qiao Fangli, Zhao Wei, Yin Xunqiang, et al.A highly effective global surface wave numerical simulation with Ultra-High Resolution[C]∥International Conference for High PERFORMANCE Computing, Networking, Storage and Analysis. IEEE Press, 2016:5.
|
|
Qiao Fangli, Zhao Wei, Yin Xunqiang, et al.A highly effective global surface wave numerical simulation with Ultra-High Resolution[C]∥International Conference for High PERFORMANCE Computing, Networking, Storage and Analysis. IEEE Press, 2016:5.
|
[60] |
Yin Xunqiang, Qiao Fangli, Yang Yongzeng, et al. Argo data assimilation in ocean general circulation model of Northwest Pacific Ocean[J]. Ocean Dynamics, 2012, 62(7):1 059-1 071.
doi: 10.1007/s10236-012-0549-1
URL
|
|
Yin Xunqiang, Qiao Fangli, Yang Yongzeng, et al. Argo data assimilation in ocean general circulation model of Northwest Pacific Ocean[J]. Ocean Dynamics, 2012, 62(7):1 059-1 071.
doi: 10.1007/s10236-012-0549-1
URL
|
[61] |
Shi Junqiang, Yin Xunqiang, Shu Qi, et al. Evaluation on data assimilation of a global high resolution wave-tide-circulation coupled model using the tropical Pacific TAO buoy observations[J]. Acta Oceanologica Sinica, 2018, 37(3):8-20.
|
|
Shi Junqiang, Yin Xunqiang, Shu Qi, et al. Evaluation on data assimilation of a global high resolution wave-tide-circulation coupled model using the tropical Pacific TAO buoy observations[J]. Acta Oceanologica Sinica, 2018, 37(3):8-20.
|
[62] |
Borgia L,Valberg S,Mccue M, et al. Sensitivity of the ERA40 reanalysis to the observing system:Determination of the global atmospheric circulation from reduced observation[J].Tellus Series A—Dynamic Meteorology & Oceanography,2004, 56(5):456-471.
|
|
Borgia L,Valberg S,Mccue M, et al. Sensitivity of the ERA40 reanalysis to the observing system:Determination of the global atmospheric circulation from reduced observation[J].Tellus Series A—Dynamic Meteorology & Oceanography,2004, 56(5):456-471.
|
[63] |
Bengtsson L, Arkin P, Berrisford P, et al. Theneed for a dynamical climate reanalysis[J]. Bulletin of the American Meteorological Society, 2007, 88(4):495-501.
doi: 10.1175/BAMS-88-4-495
URL
|
|
Bengtsson L, Arkin P, Berrisford P, et al. Theneed for a dynamical climate reanalysis[J]. Bulletin of the American Meteorological Society, 2007, 88(4):495-501.
doi: 10.1175/BAMS-88-4-495
URL
|
[64] |
Carton J A, Chepurin G, Cao X, et al. Asimpleocean data assimilation analysis of the global upper ocean 1950-1995, Part 1: Methodology[J]. Journal of Physical Oceanography, 2000, 30: 294-309.
doi: 10.1175/1520-0485(2000)030<0294:ASODAA>2.0.CO;2
URL
|
|
Carton J A, Chepurin G, Cao X, et al. Asimpleocean data assimilation analysis of the global upper ocean 1950-1995, Part 1: Methodology[J]. Journal of Physical Oceanography, 2000, 30: 294-309.
doi: 10.1175/1520-0485(2000)030<0294:ASODAA>2.0.CO;2
URL
|
[65] |
Carton J A, Giese B S.Areanalysis of ocean climate using Simple Ocean Data Assimilation (SODA)[J]. Monthly Weather Review, 2008, 136(136):2 999.
doi: 10.1175/2007MWR1978.1
URL
|
|
Carton J A, Giese B S.Areanalysis of ocean climate using Simple Ocean Data Assimilation (SODA)[J]. Monthly Weather Review, 2008, 136(136):2 999.
doi: 10.1175/2007MWR1978.1
URL
|
[66] |
Carton J A, Chepurin G, Cao X.A simple ocean data assimilation analysis of the global upper ocean 1950-95. Part II: Results[J]. Journal of Physical Oceanography, 2000, 30(30):311-326.
doi: 10.1175/1520-0485(2000)030<0311:ASODAA>2.0.CO;2
URL
|
|
Carton J A, Chepurin G, Cao X.A simple ocean data assimilation analysis of the global upper ocean 1950-95. Part II: Results[J]. Journal of Physical Oceanography, 2000, 30(30):311-326.
doi: 10.1175/1520-0485(2000)030<0311:ASODAA>2.0.CO;2
URL
|
[67] |
Fischer M, Latif M, Flügel M, et al. Theimpact of data assimilation on ENSO simulations and predictions[J]. Monthly Weather Review, 1914, 125(5):1-5.
doi: 10.1175/1520-0493(1997)1252.0.CO;2
URL
|
|
Fischer M, Latif M, Flügel M, et al. Theimpact of data assimilation on ENSO simulations and predictions[J]. Monthly Weather Review, 1914, 125(5):1-5.
doi: 10.1175/1520-0493(1997)1252.0.CO;2
URL
|
[68] |
Oldenborgh G J V. The impact of variational assimilation of altimetry data on ocean analysis and ENSO forecasting[J]. Angewandte Chemie, 2005, 44(46):7 612-7 615.
doi: 10.1002/anie.200501552
URL
pmid: 16247812
|
|
Oldenborgh G J V. The impact of variational assimilation of altimetry data on ocean analysis and ENSO forecasting[J]. Angewandte Chemie, 2005, 44(46):7 612-7 615.
doi: 10.1002/anie.200501552
URL
pmid: 16247812
|
[69] |
Schneider E K, Huang B, Zhu Z, et al. Oceandata assimilation, initialization, and predictions of ENSO with a coupled GCM[J]. Monthly Weather Review, 2010, 127(6):1 187-1 207.
doi: 10.1175/1520-0493(1999)127<1187:ODAIAP>2.0.CO;2
URL
|
|
Schneider E K, Huang B, Zhu Z, et al. Oceandata assimilation, initialization, and predictions of ENSO with a coupled GCM[J]. Monthly Weather Review, 2010, 127(6):1 187-1 207.
doi: 10.1175/1520-0493(1999)127<1187:ODAIAP>2.0.CO;2
URL
|
[70] |
Saha S, Moorthi S, Pan H L, et al. The NCEP climate forecast system reanalysis[J]. Bulletin of the American Meteorological Society, 2010, 91(8):1 015-1 057.
doi: 10.1175/2010BAMS3001.1
URL
|
|
Saha S, Moorthi S, Pan H L, et al. The NCEP climate forecast system reanalysis[J]. Bulletin of the American Meteorological Society, 2010, 91(8):1 015-1 057.
doi: 10.1175/2010BAMS3001.1
URL
|
[71] |
Storto A, Dobricic S, Masina S, et al. Assimilating along-track altimetric observations through local hydrostatic adjustment in a global ocean variational assimilation system[J]. Monthly Weather Review, 2011, 139(3):738-754.
doi: 10.1175/2010MWR3350.1
URL
|
|
Storto A, Dobricic S, Masina S, et al. Assimilating along-track altimetric observations through local hydrostatic adjustment in a global ocean variational assimilation system[J]. Monthly Weather Review, 2011, 139(3):738-754.
doi: 10.1175/2010MWR3350.1
URL
|
[72] |
Zhang S, Harrison M J, Rosati A, et al. System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies[J]. Monthly Weather Review, 2006, 135:3 541-3 564.
|
|
Zhang S, Harrison M J, Rosati A, et al. System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies[J]. Monthly Weather Review, 2006, 135:3 541-3 564.
|
[73] |
Chang Y S, Zhang S, Rosati A, et al. An assessment of oceanic variability for 1960-2010 from the GFDL ensemble coupled data assimilation[J]. Climate Dynamics, 2013, 40(3/4):775-803.
doi: 10.1007/s00382-012-1412-2
URL
|
|
Chang Y S, Zhang S, Rosati A, et al. An assessment of oceanic variability for 1960-2010 from the GFDL ensemble coupled data assimilation[J]. Climate Dynamics, 2013, 40(3/4):775-803.
doi: 10.1007/s00382-012-1412-2
URL
|
[74] |
Waters J, Lea D J, Martin M J, et al. Implementing a variational data assimilation system in an operational 1/4 degree global ocean model[J]. Quarterly Journal of the Royal Meteorological Society, 2015, 141(687):333-349.
doi: 10.1002/qj.2015.141.issue-687
URL
|
|
Waters J, Lea D J, Martin M J, et al. Implementing a variational data assimilation system in an operational 1/4 degree global ocean model[J]. Quarterly Journal of the Royal Meteorological Society, 2015, 141(687):333-349.
doi: 10.1002/qj.2015.141.issue-687
URL
|
[75] |
Yin Y, Alves O, Oke P R.Anensemble ocean data assimilation system for seasonal prediction[J]. Monthly Weather Review, 2011, 139(3):786-808.
doi: 10.1175/2010MWR3419.1
URL
|
|
Yin Y, Alves O, Oke P R.Anensemble ocean data assimilation system for seasonal prediction[J]. Monthly Weather Review, 2011, 139(3):786-808.
doi: 10.1175/2010MWR3419.1
URL
|
[76] |
Fujii Y, Nakaegawa T, Matsumoto S, et al. Coupled climate simulation by constraining ocean fields in a coupled model with ocean data[J]. Journal of Climate, 2009, 22(20):5 541-5 557.
doi: 10.1175/2009JCLI2814.1
URL
|
|
Fujii Y, Nakaegawa T, Matsumoto S, et al. Coupled climate simulation by constraining ocean fields in a coupled model with ocean data[J]. Journal of Climate, 2009, 22(20):5 541-5 557.
doi: 10.1175/2009JCLI2814.1
URL
|
[77] |
Toyoda T, Fujii Y, Yasuda T, et al. Improved analysis of seasonal-interannual fields using a global ocean data assimilation system[J]. Theoretical & Applied Mechanics Japan, 2013, 61:31-48.
doi: 10.11345/nctam.61.31
URL
|
|
Toyoda T, Fujii Y, Yasuda T, et al. Improved analysis of seasonal-interannual fields using a global ocean data assimilation system[J]. Theoretical & Applied Mechanics Japan, 2013, 61:31-48.
doi: 10.11345/nctam.61.31
URL
|
[78] |
Tsujino H, Nakano H, Yasuda T, et al. Simulating present climate of the global ocean-ice system using the Meteorological Research Institute Community Ocean Model (MRI.COM): Simulation characteristics and variability in the Pacific sector[J]. Journal of Oceanography, 2011, 67(4):449-479.
doi: 10.1007/s10872-011-0050-3
URL
|
|
Tsujino H, Nakano H, Yasuda T, et al. Simulating present climate of the global ocean-ice system using the Meteorological Research Institute Community Ocean Model (MRI.COM): Simulation characteristics and variability in the Pacific sector[J]. Journal of Oceanography, 2011, 67(4):449-479.
doi: 10.1007/s10872-011-0050-3
URL
|
[79] |
Danabasoglu G, Yeager S G, Bailey D, et al. North Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part I: Mean states[J]. Ocean Modelling, 2014, 73(1):76-107.
doi: 10.1016/j.ocemod.2013.10.005
URL
|
|
Danabasoglu G, Yeager S G, Bailey D, et al. North Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part I: Mean states[J]. Ocean Modelling, 2014, 73(1):76-107.
doi: 10.1016/j.ocemod.2013.10.005
URL
|
[80] |
Haines K, Valdivieso M, Zuo H, et al. Transports and budgets in a 1/4° global ocean reanalysis 1989-2010[J]. Ocean Science Discussions, 2012, 9(1):261-290.
doi: 10.5194/os-8-333-2012
URL
|
|
Haines K, Valdivieso M, Zuo H, et al. Transports and budgets in a 1/4° global ocean reanalysis 1989-2010[J]. Ocean Science Discussions, 2012, 9(1):261-290.
doi: 10.5194/os-8-333-2012
URL
|
[81] |
Balmaseda M A, Hernandez F, Storto A, et al. Theocean Reanalyses Intercomparison Project (ORA-IP)[J]. Journal of Operational Oceanography, 2015, 8(Suppl.1):80-97.
doi: 10.1080/1755876X.2015.1014667
URL
|
|
Balmaseda M A, Hernandez F, Storto A, et al. Theocean Reanalyses Intercomparison Project (ORA-IP)[J]. Journal of Operational Oceanography, 2015, 8(Suppl.1):80-97.
doi: 10.1080/1755876X.2015.1014667
URL
|
[82] |
Luan Yihua, Yu Yongqiang, Zheng Weipeng.Review of development and application of high resolution global climate system model[J]. Advances in Earth Science, 2016, 31(3): 258-268.
doi: 10.11867/j.issn.1001-8166.2016.03.0258.
|
|
Luan Yihua, Yu Yongqiang, Zheng Weipeng.Review of development and application of high resolution global climate system model[J]. Advances in Earth Science, 2016, 31(3): 258-268.
|
|
[栾贻花, 俞永强, 郑伟鹏.全球高分辨率气候系统模式研究进展[J]. 地球科学进展, 2016, 31(3): 258-268.]
doi: 10.11867/j.issn.1001-8166.2016.03.0258.
|
|
[栾贻花, 俞永强, 郑伟鹏.全球高分辨率气候系统模式研究进展[J]. 地球科学进展, 2016, 31(3): 258-268.]
doi: 10.11867/j.issn.1001-8166.2016.03.0258.
|