Seal of approval for ocean observations

Background:Digital diagnostic decision support tools promise to accelerate diagnosis and increase health care efficiency in rheumatology. Rheumatic? is an online tool developed by specialists in rheumatology and general medicine together with patients and patient organizations for individuals suspecting a rheumatic disease.1,2 The tool can be used by people suspicious for rheumatic diseases resulting in individual advise on eventually seeking further health care.Objectives:We tested Rheumatic? for its ability to differentiate symptoms from immune-mediated diseases from other rheumatic and musculoskeletal complaints and disorders in patients visiting rheumatology clinics.Methods:The performance of Rheumatic? was tested using data from 175 patients from three university rheumatology centers covering two different settings:A.Risk-RA phase setting. Here, we tested whether Rheumatic? could predict the development of arthritis in 50 at risk-individuals with musculoskeletal complaints and anti-citrullinated protein antibody positivity from the KI (Karolinska Institutet)B.Early arthritis setting. Here, we tested whether Rheumatic? could predict the development of an immune-mediated rheumatic disease in i) EUMC (Erlangen) n=52 patients and ii) LUMC (Leiden) n=73 patients.In each setting, we examined the discriminative power of the total score with the Wilcoxon rank test and the area-under-the-receiver-operating-characteristic curve (AUC-ROC).Results:In setting A, the total test score clearly differentiated between individuals developing arthritis or not, median 245 versus 163, P < 0.0001, AUC-ROC = 75.3 (Figure 1). Also within patients with arthritis the Rheumatic? total score was significantly higher in patients developing an immune-mediated arthritic disease versus those who did not: median score EUMC 191 versus 107, P < 0.0001, AUC-ROC = 79.0, and LUMC 262 versus 212, P < 0.0001, AUC-ROC = 53.6.Figure 1.(Area under) the receiver operating curve for the total Rheumatic? scoreConclusion:Rheumatic? is a web-based patient-centered multilingual diagnostic tool capable of differentiating immune-mediated rheumatic conditions from other musculoskeletal problems. A following subject of research is how the tool performs in a population-wide setting.References:[1]Knitza J. et al. Mobile Health in Rheumatology: A Patient Survey Study Exploring Usage, Preferences, Barriers and eHealth Literacy. JMIR mHealth and uHealth. 2020.[2]https://rheumatic.elsa.science/en/Acknowledgements:This project has received funding from EIT Health. EIT Health is supported by the European Institute of Innovation and Technology (EIT), a body of the European Union that receives support from the European Union’s Horizon 2020 Research and Innovation program.This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777357, RTCure.Disclosure of Interests:Rachel Knevel: None declared, Johannes Knitza: None declared, Aase Hensvold: None declared, Alexandra Circiumaru: None declared, Tor Bruce Employee of: Ocean Observations, Sebastian Evans Employee of: Elsa Science, Tjardo Maarseveen: None declared, Marc Maurits: None declared, Liesbeth Beaart- van de Voorde: None declared, David Simon: None declared, Arnd Kleyer: None declared, Martina Johannesson: None declared, Georg Schett: None declared, Thomas Huizinga: None declared, Sofia Svanteson Employee of: Elsa Science, Alexandra Lindfors Employee of: Ocean Observations, Lars Klareskog: None declared, Anca Catrina: None declared

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seal of approval program for radio and television

Bulletin of the American Meteorological Society ◽

10.1175/1520-0477-77.8.1821 ◽

1996 ◽

Vol 77 (8) ◽

pp. 1821-1834

Keyword(s):

Seal Of Approval

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Eddy Phase Speeds in a Two-Layer Model of Quasigeostrophic Baroclinic Turbulence with Applications to Ocean Observations

Journal of Physical Oceanography ◽

10.1175/jpo-d-15-0192.1 ◽

2016 ◽

Vol 46 (6) ◽

pp. 1963-1985 ◽

Cited By ~ 5

Author(s):

Lei Wang ◽

Malte Jansen ◽

Ryan Abernathey

Keyword(s):

Practical Importance ◽

Phase Speed ◽

Wave Theory ◽

Inverse Cascade ◽

Barotropic Mode ◽

Eddy Fluxes ◽

Circumpolar Current ◽

The Antarctic ◽

Ocean Observations ◽

Shed Light

AbstractThe phase speed spectrum of ocean mesoscale eddies is fundamental to understanding turbulent baroclinic flows. Since eddy phase propagation has been shown to modulate eddy fluxes, an understanding of eddy phase speeds is also of practical importance for the development of improved eddy parameterizations for coarse resolution ocean models. However, it is not totally clear whether and how linear Rossby wave theory can be used to explain the phase speed spectra in various weakly turbulent flow regimes. Using linear analysis, theoretical constraints are identified that control the eddy phase speed in a two-layer quasigeostrophic (QG) model. These constraints are then verified in a series of nonlinear two-layer QG simulations, spanning a range of parameters with potential relevance to the ocean. In the two-layer QG model, the strength of the inverse cascade exerts an important control on the eddy phase speed. If the inverse cascade is weak, the phase speed spectrum is reasonably well approximated by the phase speed of the linearly most unstable mode. A significant inverse cascade instead leads to barotropization, which in turn leads to mean phase speeds closer to those of barotropic-mode Rossby waves. The two-layer QG results are qualitatively consistent with the observed eddy phase speed spectra in the Antarctic Circumpolar Current and may also shed light on the interpretation of phase speed spectra observed in other regions.

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Modulation of microwave radiance by internal waves: critical point modeling of ocean observations

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.885194 ◽

2000 ◽

Vol 38 (6) ◽

pp. 2455-2464 ◽

Cited By ~ 3

Author(s):

V. Irisov ◽

E. Baum

Keyword(s):

Critical Point ◽

Internal Waves ◽

Ocean Observations

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An Analysis of the Temporal Evolution of ENSO Prediction Skill in the Context of the Equatorial Pacific Ocean Observing System

Monthly Weather Review ◽

10.1175/mwr-d-15-0035.1 ◽

2015 ◽

Vol 143 (8) ◽

pp. 3204-3213 ◽

Cited By ~ 18

Author(s):

Arun Kumar ◽

Mingyue Chen ◽

Yan Xue ◽

David Behringer

Keyword(s):

Pacific Ocean ◽

Time Evolution ◽

Tropical Pacific ◽

Sea Surface ◽

Prediction Skill ◽

Steady Increase ◽

Coupled Models ◽

Enso Prediction ◽

Subsurface Ocean ◽

Ocean Observations

Abstract Subsurface ocean observations in the equatorial tropical Pacific Ocean dramatically increased after the 1990s because of the completion of the TAO moored array and a steady increase in Argo floats. In this analysis the question explored is whether a steady increase in ocean observations can be discerned in improvements in skill of predicting sea surface temperature (SST) variability associated with El Niño–Southern Oscillation (ENSO)? The analysis is based on the time evolution of skill of sea surface temperatures in the equatorial tropical Pacific since 1982 based on a seasonal prediction system. It is found that for forecasts up to a 6-month lead time, a clear fingerprint of increases in subsurface ocean observations is not readily apparent in the time evolution of prediction skill that is dominated much more by the signal-to-noise consideration of SSTs to be predicted. Finding no clear relationship between an increase in ocean observations and prediction skill of SSTs, various possibilities for why it may be so are discussed. This discussion is to motivate further exploration on the question of the tropical Pacific observing system, its influence on the skill of ENSO prediction, and the capabilities of the current generation of coupled models and ocean data assimilation systems to take advantage of ocean observations.

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Australian oceanography today

Proceedings of the Royal Society of Victoria ◽

10.1071/rs11094 ◽

2011 ◽

Vol 123 (1) ◽

pp. 94

Author(s):

Neville Smith

Keyword(s):

Southern Ocean ◽

Founding Father ◽

The 1950S ◽

Ocean Observations ◽

National Approach

This paper focuses on oceanography in Australia today, 150 years on from the period when von Neumayer was pioneering nautical observations and inspiring others to begin the tasks of charting and observing the ocean. Matthew Fontaine Maury is often recognised as the founding father of marine observing and, in particular of the system of voluntary observations of the sea that is still in place today. It is known that Georg von Neumayer took inspiration from Maury’s work during the 1950s, particularly in relation to Southern Ocean observations. From these humble beginnings we have built to a complex, multi-disciplinary approach to oceanography in Australia and the presentation will focus on the national approach to oceanography and how Australia is responding to the modern challenges.

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Developing European operational oceanography for Blue Growth, climate change adaptation and mitigation and ecosystem-based management

10.5194/os-2015-103 ◽

2016 ◽

Cited By ~ 2

Author(s):

J. She ◽

I. Allen ◽

E. Buch ◽

A. Crise ◽

J. A. Johannessen ◽

...

Keyword(s):

Information Service ◽

Research Priorities ◽

White Paper ◽

Economic Sectors ◽

Operational Oceanography ◽

Blue Growth ◽

Technology Focus ◽

Ocean Observations ◽

Modelling And Forecasting

Abstract. “Operational Approaches” have been more and more widely developed and used for providing marine data and information service for different socio-economic sectors of the Blue Growth and to advance knowledge about the marine environment. The objective of operational oceanographic research is to develop and improve the efficiency, timeliness, robustness and product quality of this approach. This white paper aims to address key scientific challenges and research priorities for the development of operational oceanography in Europe for the next 5–10 years. Knowledge gaps and deficiencies are identified in relation to common scientific challenges in four EuroGOOS knowledge areas: European Ocean Observations, Modelling and Forecasting Technology, Coastal Operational Oceanography and Operational Ecology. The areas “European Ocean Observations” and “Modelling and Forecasting Technology” focus on the further advancement of the basic instruments and capacities for European operational oceanography, while “Coastal Operational Oceanography” and “Operational Ecology” aim at developing new operational approaches for the corresponding knowledge areas.

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