Assimilating Ocean Observation Data for ENSO Monitoring and Forecasting

Fujii, Yosuke; Kamachi, Masafumi; Nakaegawa, Toshiyuki; Yasuda, Tohya; Yamanaka, Goro; Toyoda, Takahiro; Ando, Kenji; Matsumoto, Satoshi

doi:10.5772/30330

Cited by 13 publications

(18 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 2 demonstrates that salinity observations (mainly from Argo floats) improve the accuracy of the analysed temperature in the top 200 m in the equatorial Pacific. This improvement is largely due to the multivariate nature of the MOVE-G data assimilation system (Fujii et al 2011). For both of these experiments, Argo data from the withheld floats are used for independent evaluation.…”

Section: Move-g Osesmentioning

confidence: 99%

“…In a third OSE study using the MOVE-G system, a series of OSEs were performed to evaluate the relative impact of Argo floats and TAO/TRITON buoys on ENSO forecasts using an operational seasonal forecasting system (Fujii et al 2011). First, three data assimilating runs are prepared using MOVE-G. All available data are assimilated in one run, but Argo floats or TAO/TRITON buoys data are systematically withheld in the other two runs.…”

Section: Move-g Osesmentioning

confidence: 99%

See 1 more Smart Citation

Assessing the impact of observations on ocean forecasts and reanalyses: Part 1, Global studies

Oke

Larnicol

Fujii

et al. 2015

Journal of Operational Oceanography

View full text Add to dashboard Cite

h GODAE OceanView Observing System Evaluation Task TeamUnder GODAE OceanView the operational ocean modelling community has developed a suite of global ocean forecast, reanalysis and analysis systems. Each system has a critical dependence on ocean observations -routinely assimilating observations of in-situ temperature and salinity, and satellite sea-level anomaly and sea surface temperature. This paper demonstrates the value and impact of ocean observations to three global eddy-permitting forecast systems, one global eddy-permitting model-independent analysis system, one eddy-resolving reanalysis system, and two seasonal prediction systems. All systems have been used to assess the impact of Argo profiles, including scenarios with no Argo data, and a degraded Argo array -unanimously concluding that Argo is a critical data set -the most critical for seasonal prediction, and as critical as satellite altimetry for eddy-permitting applications. Most systems show that TAO data are as important as Argo in the tropical Pacific, and that XBT data have an impact that is comparable to other data types in the vicinity of XBT transects. It is clear that no currently available data type is redundant. On the contrary, the components of the global ocean observing system complement each other remarkably well, providing sufficient information to monitor and forecast the global ocean.

show abstract

Section: Move-g Osesmentioning

confidence: 99%

Section: Move-g Osesmentioning

confidence: 99%

Assessing the impact of observations on ocean forecasts and reanalyses: Part 1, Global studies

Oke

Larnicol

Fujii

et al. 2015

Journal of Operational Oceanography

View full text Add to dashboard Cite

show abstract

“…This strategy is relatively simple but definite and reliable in the sense that the impacts that occur in a practical assimilation run using real observation data can be assessed. OSEs have been employed for the evaluations of data impacts in seasonal forecasting systems (Balmaseda & Anderson 2009;Fujii et al 2011). Evaluation through OSEs conducted in parallel with an operational system on a near-real-time basis (i.e.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the impacts of the tropical Pacific observing system on the ocean analysis fields in the global ocean data assimilation system for operational seasonal forecasts in JMA

Fujii

Ogawa²,

Brassington

et al. 2015

Journal of Operational Oceanography

Self Cite

View full text Add to dashboard Cite

“…For example, since the Argo data only became plentiful in the tropical Pacific in 2004 (Fig. 1a), and has expanded further since then, results from early OSE experiments done for the early 2000s (Balmaseda and Anderson 2009;Fujii et al 2011) may not be of relevance to the more recent period after 2004 when Argo data became plentiful. In addition, the impacts of ocean observing systems on the quality of ocean analysis and ENSO forecast can be dependent on ODAS and coupled models.…”

Section: Introductionmentioning

confidence: 90%

“…With the advent of consistent satellite altimetry sea level observations starting with the launch of TOPEX/Poseidon in 1992 and of Argo since 2000, the relative importance of the TAO/TRITION observations (referred to as moorings hereafter) for ENSO monitoring and forecasting became the object of observing system experiments (OSEs) Balmaseda et al 2007; Balmaseda and Anderson 2009;Fujii et al 2011). Considering the evolution of TPOS, however, early OSE experiments need to be placed in an evolving context.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of tropical Pacific observing systems using NCEP and GFDL ocean data assimilation systems

Xue¹,

Wen²,

Yang

et al. 2015

Clim Dyn

View full text Add to dashboard Cite

and objective analyses. Without assimilation of in situ observations, both GODAS and ECDA had large mean biases and RMSD in all variables. Assimilation of all in situ data significantly reduced mean biases and RMSD in all variables except zonal current at the equator. For GODAS, the mooring data is critical in constraining temperature in the eastern and northwestern tropical Pacific, while for ECDA both the mooring and Argo data is needed in constraining temperature in the western tropical Pacific. The Argo data is critical in constraining temperature in off-equatorial regions for both GODAS and ECDA. For constraining salinity, sea surface height and surface current analysis, the influence of Argo data was more pronounced. In addition, the salinity data from the TRITON buoys played an important role in constraining salinity in the western Pacific. GODAS was more sensitive to withholding Argo data in off-equatorial regions than ECDA because it relied on local observations to correct model biases and there were few XBT profiles in those regions. The results suggest that multiple ocean data assimilation systems should be used to assess sensitivity of ocean analyses to changes in the distribution of ocean observations to get more robust results that can guide the design of future tropical Pacific observing systems.

show abstract

Assimilating Ocean Observation Data for ENSO Monitoring and Forecasting

Cited by 13 publications

References 58 publications

Assessing the impact of observations on ocean forecasts and reanalyses: Part 1, Global studies

Assessing the impact of observations on ocean forecasts and reanalyses: Part 1, Global studies

Evaluating the impacts of the tropical Pacific observing system on the ocean analysis fields in the global ocean data assimilation system for operational seasonal forecasts in JMA

Evaluation of tropical Pacific observing systems using NCEP and GFDL ocean data assimilation systems

Contact Info

Product

Resources

About