An Operational Global-Scale Ocean Thermal Analysis System

Clancy, Rachel; Phoebus, Patricia A.; Pollak, Kenneth D.

doi:10.1175/1520-0426(1990)007<0233:aogsot>2.0.co;2

Cited by 35 publications

(14 citation statements)

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“…Carton and Hackert (1990) did the same work by adding a correction technique into the Tropical Atlantic model. Clancy et al (1990Clancy et al ( , 1992 combined synoptic ship, bathythermograph, buoy and satellite data with the prediction of a mixed-layer model by using an optimal interpolation (OI) scheme. Behringer (1994) applied an objective interpolation scheme for assimilating SST and expendable bathythermograph (XBT) observations to improve the SST maps.…”

Section: Introductionmentioning

confidence: 99%

Correcting the Sea Surface Temperature by Data Assimilation Over the Persian Gulf

Abbasi

Chegini

Sadrinasab

et al. 2018

Iran J Sci Technol Trans Sci

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In this paper, the impact of sea surface temperature (SST) data assimilation on the results of a finite volume community ocean model has been examined by using the nudging scheme. In this regard, the advanced very high-resolution radiometer satellite SST data were selected as the observational data for assimilation. The numerical modeling was performed over the Persian Gulf from 1998 to 2003 in two different modes: with and without SST data assimilation. The performance of data assimilation with the nudging scheme was evaluated by comparing the simulated SST with the in situ SST measurements and optimum interpolation SST data. Both the spatial and temporal comparisons show the efficiency of assimilation in correcting the model results. The spatial root mean square error in the assimilated run depicts meaningful improvements in the whole of the domain. Also, the temporal comparisons of the results show the capability of assimilation in lowering the model output errors. The simulated SST obtained by applying the data assimilation in the shallow parts of the Persian Gulf matched exactly with the measured ones, especially near the Hormuz Strait. Finally, the results show significant improvements in the SST simulated by using the nudging schemes.

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Section: Introductionmentioning

confidence: 99%

Correcting the Sea Surface Temperature by Data Assimilation Over the Persian Gulf

Abbasi

Chegini

Sadrinasab

et al. 2018

Iran J Sci Technol Trans Sci

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“…Chelton and Wentz, 2005;Donlon et al, 2007;Maturi et al, 2008). Multichannel infrared observations essentially began in the 1980s and pioneering uses of the SST derived from them were made in the daily analysis of Clancy et al (1990) and the weekly analysis of Reynolds and Smith (1994). Both analyses also employed in situ data and combined all observations using optimum interpolation (Daley, 1991, Chapter 4).…”

Section: Introductionmentioning

confidence: 99%

“…Both analyses also employed in situ data and combined all observations using optimum interpolation (Daley, 1991, Chapter 4). However, whereas Clancy et al (1990) employed a climatological reference as the background SST estimate, Reynolds and Smith (1994) employed the previous week's analysis and developed a correction for infrared SST bias using in situ observations. A significant reduction in this bias, which is normally associated with the presence of aerosols in the atmosphere, also became possible in the 1990s with the availability of dualview infrared satellite measurements (Mutlow et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

“…Global analyses and observational summaries compensate for sampling gaps, either by adjusting toward a climatological annual cycle (Clancy et al, 1990;Brasnett, 1997), or simply by considering time-scales of a month or longer (Kent et al, 2000;Worley et al, 2005). Because coverage is better along well-travelled shipping routes, it is presumably within such regions that submonthly SST changes might be resolved by in situ observations alone.…”

Section: Introductionmentioning

confidence: 99%

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A composite look at short‐time‐scale sea‐surface temperature changes in the western North Pacific based on ships and buoys

Danielson

Gyakum

2010

Quart J Royal Meteoro Soc

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A simple method of interpolating sea-surface temperature (SST) and its measurement method is applied to western North Pacific ship and buoy observations taken between 1970 and 2000. Comparisons are made between the resulting quasidaily in situ analyses and more inclusive analyses based mainly on satellite infrared observations. In terms of analysis differences, spatial correlation, and temporal spectra, the in situ analyses are found to be of moderate quality and are taken to be appropriate for composite diagnoses. This use is illustrated in a novel comparison of short-time-scale SST changes observed during the passage of two groups of midlatitude cold-season cyclones.Transient cooling is found to be preferentially associated with the stronger of the two cyclone groups. The significance of this cooling is quantified and the possibility of oceanic mixed-layer cooling and heat loss from bucket observations is explored. Although the bias in bucket observations is confirmed using composites

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“…Due to relatively large amounts of temperature observations, the early ocean data assimilation mainly focused on the univariate, i.e. temperature observations [6][7][8][9] , while the salinity and current fields keep unchanged in the assimilation and adjusted by the model dynamics. Despite of this, the assimilation method can extract the effective information of temperature observations and enhance the forecast ability of the model temperature field [6][7][8][9][10][11][12][13] .…”

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confidence: 99%

A three-dimensional variational ocean data assimilation system: Scheme and preliminary results

Zhu

Zhou

et al. 2006

SCI CHINA SER D

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A new 3DVAR-based Ocean Variational Analysis System (OVALS) is developed. OVALS is capable of assimilating in situ sea water temperature and salinity observations and satellite altimetry data. As a component of OVALS, a new variational scheme is proposed to assimilate the sea surface height data. This scheme considers both the vertical correlation of background errors and the nonlinear temperature-salinity relationship which is derived from the generalization of the linear balance constraints to the nonlinear in the 3DVAR. By this scheme, the model temperature and salinity fields are directly adjusted from the altimetry data. Additionally, OVALS can assimilate the temperature and salinity profiles from the ARGO floats which have been implemented in recent years and some temperature and salinity data such as from expendable bathythermograph, moored ocean buoys, etc. A 21-year assimilation experiment is carried out by using OVALS and the Tropical Pacific circulation model. The results show that the assimilation system may effectively improve the estimations of temperature and salinity by assimilating all kinds of observations. Moreover, the root mean square errors of temperature and salinity in the upper depth less than 420 m reach 0.63℃ and 0.34 psu. Keywords: data assimilation, 3DVAR, sea surface height, ARGO floats.With the successful development of ocean buoys technique in the 1990s, the ARGO plan was proposed by the international group in 1998 and implemented in 1999. Up to now, more than 1800 ARGO floats are now in operation and delivering real-time temperature and salinity profile observations over the world oceans. By the end of 2005, ARGO will expect to provide more than 100000 temperature and salinity profiles which have a depth range of 0 m to 2000 m [1] . Apart from the ARGO plan, the GODAE high-resolution sea surface temperature pilot project (GHRSST-PP) is beginning to implement to provide high resolution in the time of 6 h and in the space of 10 km [2] sea surface temperature observation with global coverage for the operational oceanography, climate study and prediction. Except the above two new observation systems, as a successor of successful implementation of Topex/Poseidon altimeter satellite in the 1990s, the Jason-1 Mission was successfully launched in December, 2001. This observation system can provide

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An Operational Global-Scale Ocean Thermal Analysis System

Cited by 35 publications

References 0 publications

Correcting the Sea Surface Temperature by Data Assimilation Over the Persian Gulf

Correcting the Sea Surface Temperature by Data Assimilation Over the Persian Gulf

A composite look at short‐time‐scale sea‐surface temperature changes in the western North Pacific based on ships and buoys

A three-dimensional variational ocean data assimilation system: Scheme and preliminary results

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