Abstract
The development and application of a regional ocean data assimilation system are among the aims of the Global Ocean Data Assimilation Experiment. The ocean data assimilation system in the regions including the Indian and West Pacific oceans is an endeavor motivated by this goal. In this study, we describe the system in detail. Moreover, the reanalysis in the joint area of Asia, the Indian Ocean, and the western Pacific Ocean (hereafter AIPOcean) constructed using multi-year model integration with data assimilation is used to test the performance of this system. The ocean model is an eddy-resolving, hybrid coordinate ocean model. Various types of observations including in-situ temperature and salinity profiles (mechanical bathythermograph, expendable bathythermograph, Array for Real-time Geostrophic Oceanography, Tropical Atmosphere Ocean Array, conductivity–temperature–depth, station data), remotely-sensed sea surface temperature, and altimetry sea level anomalies, are assimilated into the reanalysis via the ensemble optimal interpolation method. An ensemble of model states sampled from a long-term integration is allowed to change with season, rather than remaining stationary. The estimated background error covariance matrix may reasonably reflect the seasonality and anisotropy. We evaluate the performance of AIPOcean during the period 1993–2006 by comparisons with independent observations, and some reanalysis products. We show that AIPOcean reduces the errors of subsurface temperature and salinity, and reproduces mesoscale eddies. In contrast to ECCO and SODA products, AIPOcean captures the interannual variability and linear trend of sea level anomalies very well. AIPOcean also shows a good consistency with tide gauges.
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References
Banks, H. T., 2000: Indonesian Throughflow in a coupled climate model and the sensitivity of the heat budget and deep overturning. J. Geophys. Res., 105(C11), 26135–26150.
Bentsen, M., G. Evensen, H. Drange, and A. D. Jenkins, 1999: Coordinate transform on a sphere using conformal mapping. Mon. Wea. Rev., 127, 2733–2740.
Bertino, L., and K. A. Lisæter, 2008: The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans, J. Operat. Oceanogr., 2, 15–18.
Bleck, R., C. Rooth, D. M. Hu, and L. T. Smith, 1992: Salinitydriven thermocline transients in a wind-and thermohalineforced isopycnic coordinate model of the North Atlantic. J. Phys. Oceanogr., 22, 1486–1505.
Carton, J. A., G. Chepurin, and X. H. Cao, 2000: A simple ocean data assimilation analysis of the global upper ocean 1950–95. Part II: Results. J. Phys. Oceanogr., 30(2), 311–326.
Cummings, J. A., 2005: Operational multivariate ocean data assimilation. Quart. J. Roy. Meteor. Soc., 131, 3583–3604.
Ducet, N., P. Y. Le Traon, and G. Reverdin, 2000: Global high-resolution mapping of ocean circulation from TOPEX/ Poseidon and ERS-1 and -2. J. Geophys. Res., 105, 19477–19498.
Emanuel, K. A., 1986: An air-sea interaction theory for tropical cyclones. Part I: Steady-state maintenance. J. Atmos. Sci., 43, 585–605.
Emanuel, K. A., 1999: Thermodynamic control of hurricane intensity. Nature, 401, 665–669.
Evensen, G., 2003: The Ensemble Kalman Filter: Theoretical formulation and practical implementation. Ocean Dynamics, 53, 343–367.
Fu, W. W., J. Zhu, and C. X. Yan, 2009a: A comparison between 3DVAR and EnOI techniques for satellite altimetry data assimilation. Ocean Modelling, 26(3–4), 206–216.
Fu, W. W., J. Zhu, C. X. Yan, and H. L. Liu, 2009b: Toward a global ocean data assimilation system based on ensemble optimum interpolation: Altimetry data assimilation experiment. Ocean Dynamics, 59, 587–602, doi: 10.1007/s10236-009-0206-5.
Fujii, Y., and M. Kamachi, 2003: Three-dimensional analysis of temperature and salinity in the equatorial Pacific using a variational method with vertical coupled temperature-salinity empirical orthogonal function modes. J. Geophys. Res., 108(C9), 3297, doi: 10.1029/2002JC001745.
Gaspari, G., and S. E. Cohn, 1999: Construction of correlation functions in two and three dimensions. Quart. J. Roy. Meteor. Soc., 125, 723–757.
Godfrey, J. S., and A. J. Weaver, 1991: Is the Leeuwin Current driven by Pacific heating and winds? Progress in Oceanography, 27, 225–272.
Gordon, A. L., 1986: Interocean exchange of thermocline water. J. Geophys. Res., 91, 5037–5046.
Gordon, A. L., and Coauthors, 2009: The Indonesian throughflow during 2004–2006 as observed by the INSTANT program. Dyn. Atmos. Oceans, 50(2), 115–128.
Han, G. J., and Coauthors, 2011: A regional ocean reanalysis system for coastal waters of China and adjacent seas. Adv. Atmos. Sci., 28(3), 682–690, doi: 10.1007/s00376-010-9184-2.
Han, G. J., H. L. Fu, X. F. Zhang, W. Li, X. R. Wu, X. D. Wang, and L. X. Zhang, 2013: A global ocean reanalysis product in the China Ocean Reanalysis (CORA) project. Adv. Atmos. Sci., 30(6), 1621–1631, doi: 10.1007/s00376-013-2198-9.
Hirst, A. C., and J. S. Godfrey, 1993: The role of the Indonesian throughflow in a global ocean GCM. J. Phys. Oceanogr., 23, 1057–1086.
Jaimes, B., and L. K. Shay, 2009: Mixed layer cooling in mesoscale oceanic eddies during Hurricanes Katrina and Rita. Mon. Wea. Rev., 137, 4188–4207, doi: 10.1175/2009MWR2849.1.
Lee, T., I. Fukumori, D. Menemenlis, Z. F. Xing, and L.-L. Fu, 2002: Effects of the Indonesian throughflow on the Pacific and Indian Oceans. J. Phys. Oceanogr., 32(5), 1404–1429.
Legates, D. R., and C. J. Willmott, 1990: Mean seasonal and spatial variability in gauge-corrected, global precipitation. Int. J. Climatol., 10, 111–127.
Le Traon, P. Y., F. Nadal, and N. Ducet, 1998: An improved mapping method of multisatellite altimeter data. Journal of Atmospheric and Oceanic Technology, 15, 522–534.
Li, X. C., J. Zhu, Y. G. Xiao, and R. W. Wang, 2010: A modelbased observation-thinning scheme for the assimilation of high-resolution SST in the shelf and coastal seas around China. Journal of Atmospheric and Oceanic Technology, 27, 1044–1058.
Lin, I.-I., C.-C. Wu, K. A. Emanuel, I.-H. Lee, C.-R. Wu, and I.- F. Pun, 2005: The interaction of supertyphoon Maemi (2003) with a warm ocean eddy. Mon. Wea. Rev., 133(9), 2635–2649.
Lin, I.-I., C.-H. Chen, I.-F. Pun, W. T. Liu, and C.-C. Wu, 2009: Warm ocean anomaly, air sea fluxes, and the rapid intensification of tropical cyclone Nargis (2008). Geophys. Res. Lett., 36, L03817, doi: 10.1029/2008GL035815.
Martin, M. J., A. Hines, and M. J. Bell, 2007: Data assimilation in the FOAM operational short-range ocean forecasting system: A description of the scheme and its impact. Quart. J. Roy. Meteor. Soc., 133, 981–995.
McPhaden, M. J., and Coauthors, 1998: The tropical ocean-global atmosphere observing system: A decade of progress. J. Geophys. Res., 103(C7), 14169–14240.
McPhaden, M. J., and Coauthors, 2009: RAMA: The research moored array for African-Asian-Australian monsoon analysis and prediction. Bull. Amer. Meteor. Soc., 90, 459–480.
Oke, P. R., G. B. Brassington, D. A. Griffin, and A. Schiller, 2008: The Bluelink Ocean Data Assimilation System (BODAS). Ocean Modelling, 21, 46–70, doi: 10.1016/j.ocemod.2007.11.002.
Pandey, V. K., V. Bhatt, A. C. Pandey, and I. M. L. Das, 2007: Impact of Indonesian throughflow blockage on the southern Indian ocean. Current Science, 93, 399–406.
Reynolds, R. W., T. M. Smith, C. Y. Liu, D. B. Chelton, K. S. Casey, and M. G. Schlax, 2007: Daily high-resolutionblended analyses for sea surface temperature. J. Climate, 20, 5473–5496.
Salonen, K., H. Jarvinen, G. Haase, S. Niemela, and R. Eresmaa, 2009: Doppler radar radial winds in HIRLAM. Part II: Optimizing the super-observation processing. Tellus A, 61, 288–295.
Schneider, N., 1998: The Indonesian throughflow and the global climate system. J. Climate, 11, 676–689.
Schneider, N., and T. P. Barnett, 1997: Indonesian throughflow in a coupled general circulation model. J. Geophys. Res., 102, 12341–12358.
Seko, H., T. Kawabata, T. Tsuyuki, H. Nakamura, K. Koizumi, and T. Iwabuchi, 2004: Impacts of GPS-derived water vapor and radial wind measured by Doppler radar on numerical prediction of precipitation. J. Meteor. Soc. Japan, 82, 473–489.
Shay, L. K., G. J. Goni, and P. G. Black, 2000: Effects of a warm oceanic feature on Hurricane Opal. Mon. Wea. Rev., 128, 1366–1383.
Teague, W. J., M. J. Carron, and P. J. Hogan, 1990: A comparison between the generalized digital environmental model and Levitus climatologies. J. Geophys. Res., 95, 7167–7183.
Wajsowicz, R., 2002: Air-sea interaction over the Indian Ocean due to variations in the Indonesian throughflow. Climate Dyn., 18, 437–453.
Wajsowicz, R. C., and E. K. Schneider, 2001: The Indonesian throughflow’s effect on global climate determined from the COLA coupled climate system. J. Climate, 14, 3029–3042.
Wajsowicz, R. C., and P. S. Schopf, 2001: Oceanic influences on the seasonal cycle in evaporation rate over the Indian Ocean. J. Climate, 14, 1199–1226.
Walker, N. D., R. R. Leben, and S. Balasubramanian, 2005: Hurricane-forced upwelling and chlorophyll a enhancement within cold-core cyclones in the Gulf of Mexico. Geophys. Res. Lett., 32, L18610, doi: 10.1029/2005GL023716.
Walker, N. D., and Coauthors, 2014: Slow translation speed causes rapid collapse of northeast Pacific Hurricane Kenneth over cold core eddy. Geophys. Res. Lett., 41(21), 7595–7601, doi: 10.1002/2014GL061584.
Wang, D. X., Y. H. Qin, X. J. Xiao, Z. Q. Zhang, and F. M. Wu, 2012: Preliminary results of a new global ocean reanalysis. Chinese Science Bulletin, 57(26), 3509–3517, doi: 10.1007/s11434-012-5232-x.
Wang, L., and T.-J. Zhou, 2012: Assessing the quality of regional ocean reanalysis data from ENSO signals. Atmos. Oceanic Sci. Lett., 5, 55–61.
Wijffels, S. E., J. Willis, C. M. Domingues, P. Barker, N. J. White, A. Gronell, K. Ridgway, and J. A. Church, 2008: Changing expendable bathythermograph fall rates and their impact on estimates of Thermosteric sea levelrise. J. Climate, 21, 5657–5672, doi: 10.1175/2008JCLI2290.1
Willis, J. K., J. M. Lyman, G. C. Johnson, et al., 2009: In situ data biases and recent ocean heat content variability. J. Atmos. Oceanic Technol., 26(4), 846–852.
Wu, C.-C., C.-Y. Lee, and I.-I. Lin, 2007: The effect of the ocean eddy on tropical cyclone intensity. J. Atmos. Sci., 64, 3562–3578.
Xiao, X. J., D. X. Wang, C. X. Yan, and J. Zhu, 2008: Evaluation of a 3dVAR system for the South China Sea. Progress in Natural Science, 18, 547–554.
Xie, J. P., and J. Zhu, 2010: Ensemble optimal interpolation schemes for assimilating Argo profiles into a hybrid coordinate ocean model. Ocean Modelling, 33, 283–298.
Yan, C.-X., and J. Zhu, 2010: The impact of “bad” Argo profiles on an ocean data assimilation. Atmos. Oceanic Sci. Lett., 3(2), 59–63.
Zheng, Z.-W., C.-R. Ho, and N.-J. Kuo, 2008: Importance of pre-existing oceanic conditions to upper ocean response induced by Super Typhoon Hai-Tang. Geophys. Res. Lett., 35, L20603, doi: 10.1029/2008GL035524.
Zheng, Z.-W., C.-R. Ho, Q. N. Zheng, Y.-T. Lo, N.-J. Kuo, and G. Gopalakrishnan, 2010: Effects of preexisting cyclonic eddies on upper ocean response to Category 5 typhoons in the western North Pacific. J. Geophys. Res., 115, C09013, doi: 10.1029/2009JC005562.
Zu, T. T., D. X. Wang, C. X. Yan, I. Belkin, W. Zhuang, and J. Chen, 2013: Evolution of an anticyclonic eddy southwest of Taiwan. Ocean Dynamics, 63, 519–531.
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Yan, C., Zhu, J. & Xie, J. An ocean data assimilation system in the Indian Ocean and west Pacific Ocean. Adv. Atmos. Sci. 32, 1460–1472 (2015). https://doi.org/10.1007/s00376-015-4121-z
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DOI: https://doi.org/10.1007/s00376-015-4121-z