Recent progress in performance evaluations and near real-time assessment of operational ocean products

Hernández, Fabrice; Blockley, Ed; Brassington, Gary B.; Davidson, Fraser; Divakaran, Prasanth; Drévillon, Marie; Ishizaki, Shiro; García-Sotillo, Marcos; Hogan, Patrick; Lagemaa, Priidik; Levier, Bruno; Martin, Matthew J.; Mehra, Avichal; Mooers, Christopher N. K.; Ferry, Nicolas; Ryan, Andrew; Régnier, Charly; Sellar, Alistair; Smith, G. C. Moore; Sofianos, Sarantis; Spindler, Todd; Volpe, Gianluca; Wilkin, John; Zaron, Edward D.; Zhang, Aijun

doi:10.1080/1755876x.2015.1050282

Cited by 47 publications

(60 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pre-operational qualification is performed at the release of the new CMEMS version using GODAE-like metrics (see Hernandez et al, 2015 for a recent review) applied to the 2-years run pre-operational run described in Sect. 2.2.…”

Section: Pre-operational Quality Assessmentmentioning

confidence: 99%

“…Both historical and near-real time data of observation systems are strategical to evaluate the quality of operational oceanography products (She et al, 2016). The assessment of the operational ocean products accuracy already benefits from international intercomparison initiatives (e.g., the GOV Task Team for Intercomparison and Validation, ICV-TT; Bell et al, 2015), which also define specific protocols to quantify the quality level of core variables delivered to users (Hernandez et al, 2015;Ryan et al, 2015). Although operational ocean models are designed to span the whole water column from the surface to the bottom and are now reaching the sub-mesoscale description, deeper ocean and mesoscale remain still not adequately sampled by the operational observation systems (Bell et al, 2015;Hernandez et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Marine Ecosystem forecasts: skill performance of the CMEMS Mediterranean Sea model system

Salon

Cossarini

Bolzon

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. The quality of the upgraded version of the CMEMS biogeochemical operational system of the Mediterranean Sea (MedBFM) is assessed in terms of consistency and forecast skill, following a mixed validation protocol that exploits different reference data from satellite, oceanographic databases, Biogeochemical Argo floats, literature. We demonstrate that the GODAE metrics paradigm can be efficiently applied to validate an operational model system for biogeochemical and ecosystem forecasts. The accuracy of the CMEMS biogeochemical products for Mediterranean Sea can be achieved from basin-wide and seasonal scale to mesoscale and weekly scale, and its level depends on the specific variable and the availability of reference data. In particular, the use of the Biogeochemical Argo floats data allows for a relevant enhancement of the validation framework of operational biogeochemical models, providing new skill metrics for key biogeochemical processes and dynamics (e.g. deep chlorophyll maximum depth), which can be easily implemented to routinely monitor the quality of the products and highlight any possible anomaly.

show abstract

Section: Pre-operational Quality Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Marine Ecosystem forecasts: skill performance of the CMEMS Mediterranean Sea model system

Salon

Cossarini

Bolzon

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…Then, forced at the surface by weather prediction systems, these models forecast ocean currents, temperature, salinity, sea-ice and biogeochemistry. Quality control of operational ocean forecast system is a core activity in operational centers and independent data, not assimilated in the operational model, are used to evaluate model performances [e.g., Hernandez et al, 2015;Ryan et al, 2015]. AW inflow is well represented in operational model outputs as the models assimilate, among other observations, data in Fram Strait [Lien et al, 2016].…”

Section: Introductionmentioning

confidence: 99%

Atlantic waters inflow north of Svalbard: Insights from IAOOS observations and Mercator Ocean global operational system during N-ICE2015

Koenig

Provost

Villacieros-Robineau

et al. 2017

J. Geophys. Res. Oceans

View full text Add to dashboard Cite

As part of the N‐ICE2015 campaign, IAOOS (Ice Atmosphere Ocean Observing System) platforms gathered intensive winter data at the entrance of Atlantic Water (AW) inflow to the Arctic Ocean north of Svalbard. These data are used to examine the performance of the 1/12° resolution Mercator Ocean global operational ice/ocean model in the marginal ice zone north of Svalbard. Modeled sea‐ice extent, ocean heat fluxes, mixed layer depths and AW mass characteristics are in good agreement with observations. Model outputs are then used to put the observations in a larger spatial and temporal context. Model outputs show that AW pathways over and around the Yermak Plateau differ in winter from summer. In winter, the large AW volume transport of the West Spitsbergen Current (WSC) (∼4 Sv) proceeds to the North East through 3 branches: the Svalbard Branch (∼0.5 Sv) along the northern shelf break of Svalbard, the Yermak Branch (∼1.1 Sv) along the western slope of the Yermak Plateau and the Yermak Pass Branch (∼2.0 Sv) through a pass in the Yermak Plateau at 80.8°N. In summer, the AW transport in the WSC is smaller (∼2 Sv) and there is no transport through the Yermak Pass. Although only eddy‐permitting in the area, the model suggests an important mesoscale activity throughout the AW flow. The large differences in ice extent between winters 2015 and 2016 follow very distinct atmospheric and oceanic conditions in the preceding summer and autumn seasons. Convection‐induced upward heat fluxes maintained the area free of ice in winter 2016.

show abstract

“…In the frame of GODAE OceanView, and also as part of the Copernicus Marine Environment Monitoring Service, dedicated working groups have been designing these past years' real‐time assessment methods based on the existing available data set. In particular, the class 4 metrics approaches where temperature and salinity forecast are compared to observations in order to determine skill scores and the performances of operational systems in real‐time (Hernandez et al, ).…”

Section: Pirata Data In Ocean Products and In Operational Analyses Anmentioning

confidence: 99%

PIRATA: A Sustained Observing System for Tropical Atlantic Climate Research and Forecasting

Bourlès

Araújo

McPhaden

et al. 2019

Earth and Space Science

Self Cite

View full text Add to dashboard Cite

Prediction and Research Moored Array in the Tropical Atlantic (PIRATA) is a multinational program initiated in 1997 in the tropical Atlantic to improve our understanding and ability to predict ocean‐atmosphere variability. PIRATA consists of a network of moored buoys providing meteorological and oceanographic data transmitted in real time to address fundamental scientific questions as well as societal needs. The network is maintained through dedicated yearly cruises, which allow for extensive complementary shipboard measurements and provide platforms for deployment of other components of the Tropical Atlantic Observing System. This paper describes network enhancements, scientific accomplishments and successes obtained from the last 10 years of observations, and additional results enabled by cooperation with other national and international programs. Capacity building activities and the role of PIRATA in a future Tropical Atlantic Observing System that is presently being optimized are also described.

show abstract

Recent progress in performance evaluations and near real-time assessment of operational ocean products

Abstract: (2015) Recent progress in performance evaluations and near real-time assessment of operational ocean products, Journal of Operational Oceanography, 8:sup2, s221-s238,

Cited by 47 publications

References 60 publications

Marine Ecosystem forecasts: skill performance of the CMEMS Mediterranean Sea model system

Marine Ecosystem forecasts: skill performance of the CMEMS Mediterranean Sea model system

Atlantic waters inflow north of Svalbard: Insights from IAOOS observations and Mercator Ocean global operational system during N-ICE2015

PIRATA: A Sustained Observing System for Tropical Atlantic Climate Research and Forecasting

Contact Info

Product

Resources

About