Data Assimilation of the High-Resolution Sea Surface Temperature Obtained from the Aqua-Terra Satellites (MODIS-SST) Using an Ensemble Kalman Filter

Miyazawa, Yasumasa; Murakami, Hiroshi; Miyama, Toru; Varlamov, Sergey M.; Guo, Xinyu; Waseda, Takuji; Sil, Sourav

doi:10.3390/rs5063123

Cited by 17 publications

(10 citation statements)

References 25 publications

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“…In this case, skills of MS-3DVARs and SS3DVARs are comparable to each other (Li et al 2015a). In real situations, however, the distributions of the available data are not uniform; in particular, the high-resolution infrared SST including the Himawari-8 product involves the data missing areas due to the cloud noise (e.g., Miyazawa et al 2013), and in situ temperature and salinity data are obtained with quite coarse resolution (e.g., Miyazawa et al 2012). The MS-3DVAR scheme effectively assimilates the localized and patchy dense-distributed observation data without unrealistic smoothing and well spreads the information of the sparse-distributed data (Li et al 2015a).…”

Section: Introductionmentioning

confidence: 92%

“…MS-3DVAR provides an intermediate option for further improvement of the 3DVAR prior to switching over to the advanced but expensive methods including the ensemble Kalman filter (e.g., Miyazawa et al 2013) and 4DVAR (e.g., Usui et al 2015). It is interesting to carefully compare cost and benefit depending on possible choices of the forward models with higher resolution and the data assimilation methods with various levels of the implementation and computational costs.…”

Section: Discussionmentioning

confidence: 99%

“…2a for Himawari-8). It is found that the MODIS data requires relatively rigorous quality check (Miyazawa et al 2013) and additional horizontal Gaussian smoothing with a 0.25°scale because they sometimes show serious noisy features. The assimilation of MGDSST with horizontal resolution of 0.25°is performed without regridding.…”

Section: Methods and Datamentioning

confidence: 99%

“…This is not surprising because the reference Kuroshio path positions mainly represent the smoothed large-scale information (e.g., see Fig. 9 in Miyazawa et al 2013). Temporally and spatially averaged RMSD values shown in Table 3 suggest a best skill in the MS-3DVAR case among all the cases.…”

Section: Validation Of the Products Using Independent Observation Datamentioning

confidence: 99%

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Assimilation of high-resolution sea surface temperature data into an operational nowcast/forecast system around Japan using a multi-scale three-dimensional variational scheme

et al. 2017

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A multi-scale three-dimensional variational (MS-3DVAR) scheme is developed to assimilate high-resolution Himawari-8 sea surface temperature (SST) data for the first time into an operational ocean nowcast/forecast system targeting the North Western Pacific, JCOPE2. MS-3DVAR improves representation of the Kuroshio path south of Japan, its associated sea level variations, and temperature/ salinity profiles south of Japan, the Kuroshio/Oyashio mixed water region, and the Japan Sea as compared to those of the products by the traditional single-scale 3DVAR. Validation results demonstrate that MS-3DVAR well assimilates the sparsely distributed in situ temperature and salinity profiles data by spreading the information over the large scale and by representing the detailed information near the measurement points. MS-3DVAR succeeds to assimilate the Himawari-8 SST product without noisy features caused by the cloud effects. We also find that MS-3DVAR is more effective for estimating oceanic conditions in regions with smaller mesoscale variability including the mixed water region and Japan Sea than in south of Japan.Keywords Himawari-8 sea surface temperature data . Multi-scale three-dimensional variational scheme . Operational ocean nowcast/forecast system

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Section: Introductionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Methods and Datamentioning

confidence: 99%

Section: Validation Of the Products Using Independent Observation Datamentioning

confidence: 99%

See 2 more Smart Citations

Assimilation of high-resolution sea surface temperature data into an operational nowcast/forecast system around Japan using a multi-scale three-dimensional variational scheme

et al. 2017

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“…The variational data assimilation methods have been employed to assimilate the SST in the BYECS by previous studies, but few research with other assimilation methods has currently been reported. The ensemble assimilation methods also show great advantages in assimilating SST in the offshore areas of China (e.g., Zheng et al, 2006;Zheng and Zhu, 2008;Shu et al, 2009;Li et al, 2010;Ye and Xie, 2011;) and the north Pacific Ocean (e.g., Seo et al, 2009;Seo et al, 2010) and in other forecasting systems (e.g., Kamachi et al, 2004;Xue et al, 2004;Xue et al, 2005;Powell et al, 2009;O'dea et al, 2012;Costa et al, 2012;Miyazawa et al, 2013;Losa et al, 2014). A fourdimensional variational method (4D-VAR) and ensemble kalman filter (EnKF) are representatives of the variational assimilation method and the ensemble assimilation method, respectively.…”

Section: Introductionmentioning

confidence: 99%

Assimilating operational SST and sea ice analysis data into an operational circulation model for the coastal seas of China

Zhu

Wang

et al. 2015

Acta Oceanol. Sin.

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The prediction of sea surface temperature (SST) is an essential task for an operational ocean circulation model. A sea surface heat flux, an initial temperature field, and boundary conditions directly affect the accuracy of a SST simulation. Here two quick and convenient data assimilation methods are employed to improve the SST simulation in the domain of the Bohai Sea, the Yellow Sea and the East China Sea (BYECS). One is based on a surface net heat flux correction, named as Qcorrection (QC), which nudges the flux correction to the model equation; the other is ensemble optimal interpolation (EnOI), which optimizes the model initial field. Based on such two methods, the SST data obtained from the operational SST and sea ice analysis (OSTIA) system are assimilated into an operational circulation model for the coastal seas of China. The results of the simulated SST based on four experiments, in 2011, have been analyzed. By comparing with the OSTIA SST, the domain averaged root mean square error (RMSE) of the four experiments is 1.74, 1.16, 1.30 and 0.91°C, respectively; the improvements of assimilation experiments Exp2, 3 and 4 are about 33.3%, 25.3%, and 47.7%, respectively. Although both two methods are effective in assimilating the SST, the EnOI shows more advantages than the QC, and the best result is achieved when the two methods are combined. Comparing with the observational data from coastal buoy stations, show that assimilating the high-resolution satellite SST products can effectively improve the SST prediction skill in coastal regions. . Assimilating operational SST and sea ice analysis data into an operational circulation model for the coastal seas of China. Acta Oceanologica Sinica,

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A Reconstruction of Subtropical Western North Pacific SST Variability Back to 1578, Based on a Porites Coral Sr/Ca Record from the Northern Ryukyus, Japan

2017

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We present a seasonal reconstruction of sea surface temperature (SST) from 1578 to 2008, based on a Porites coral Sr/Ca record from the northern Ryukyus, within the Kuroshio southern recirculation gyre. Interannual SST anomalies are generally ~0.5°C, making Sr/Ca‐derived SST reconstructions a challenging task. Replicate measurements along adjacent coral growth axes, enabled by the laser ablation inductively coupled plasma mass spectrometry technique used here, give evidence of rather large uncertainties. Nonetheless, derived winter SST anomalies are significantly correlated with the Western Pacific atmospheric pattern which has a dominant influence on winter temperature in East Asia. Annual mean SSTs show interdecadal variations, notably cold intervals between 1670 and 1700 during the Maunder Minimum (MM) and between 1766 and 1788 characterized by a negative phase of the North Atlantic Oscillation. Cold summers in 1783 and 1784 coincide with the long‐lasting Laki eruption that had a profound impact on the Northern Hemisphere climate, including the severe “Tenmei” famine in Japan. The decades between 1855 and 1900 are significantly cooler than the first half of the twentieth century, while those between 1700 and 1765, following the MM, are warmer than average. SST variability in the Ryukyus is only marginally influenced by the Pacific Decadal Oscillation, so that external forcing remains the main driver of low‐frequency temperature changes. However, the close connection between the Kuroshio extension (KE) and its recirculation gyre suggests that decadal SST anomalies associated with the KE front also impact the Ryukyus, and there is a possible additional role for feedback of the Kuroshio‐Oyashio variability to the large‐scale atmosphere at decadal timescale.

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Data Assimilation of the High-Resolution Sea Surface Temperature Obtained from the Aqua-Terra Satellites (MODIS-SST) Using an Ensemble Kalman Filter

Cited by 17 publications

References 25 publications

Assimilation of high-resolution sea surface temperature data into an operational nowcast/forecast system around Japan using a multi-scale three-dimensional variational scheme

Assimilation of high-resolution sea surface temperature data into an operational nowcast/forecast system around Japan using a multi-scale three-dimensional variational scheme

Assimilating operational SST and sea ice analysis data into an operational circulation model for the coastal seas of China

A Reconstruction of Subtropical Western North Pacific SST Variability Back to 1578, Based on a Porites Coral Sr/Ca Record from the Northern Ryukyus, Japan

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