scholarly journals Gliders as a Component of Future Observing Systems

2010 ◽  
Author(s):  
Pierre Testor ◽  
Pierre Testor ◽  
Pierre Testor ◽  
Pierre Testor ◽  
Pierre Testor ◽  
...  
Keyword(s):  
Observing Systems

Earth Observing Systems Conference

1985 ◽  
Keyword(s):  
Observing Systems

Evolving roles of observing systems and data co-management in Arctic Ocean governance

2016 ◽  
Author(s):  
Hajo Eicken ◽  
Olivia. A. Lee ◽  
Amy L. Lovecraft
Keyword(s):  
Arctic Ocean ◽  
Ocean Governance ◽  
Observing Systems

Ocean Observing Systems: Regional Experience Yields Global Lessons

2008 ◽  
Vol 42 (3) ◽  
pp. 3-3 ◽  
Author(s):  
Harvey E. Seim
Keyword(s):  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

scholarly journals Accelerating assimilation development for new observing systems using EFSO

2018 ◽  
Vol 25 (1) ◽  
pp. 129-143 ◽  
Author(s):  
Guo-Yuan Lien ◽  
Daisuke Hotta ◽  
Eugenia Kalnay ◽  
Takemasa Miyoshi ◽  
Tse-Chun Chen
Keyword(s):  
Selection Criteria ◽  
Ensemble Forecast ◽  
Data Selection ◽  
Development Work ◽  
Observation Data ◽  
Precipitation Data ◽  
Trial And Error ◽  
Satellite Precipitation ◽  
Selection Strategies ◽  
Observing Systems

Abstract. To successfully assimilate data from a new observing system, it is necessary to develop appropriate data selection strategies, assimilating only the generally useful data. This development work is usually done by trial and error using observing system experiments (OSEs), which are very time and resource consuming. This study proposes a new, efficient methodology to accelerate the development using ensemble forecast sensitivity to observations (EFSO). First, non-cycled assimilation of the new observation data is conducted to compute EFSO diagnostics for each observation within a large sample. Second, the average EFSO conditionally sampled in terms of various factors is computed. Third, potential data selection criteria are designed based on the non-cycled EFSO statistics, and tested in cycled OSEs to verify the actual assimilation impact. The usefulness of this method is demonstrated with the assimilation of satellite precipitation data. It is shown that the EFSO-based method can efficiently suggest data selection criteria that significantly improve the assimilation results.

scholarly journals Leveraging Uncertainty Quantification to Design Ocean Climate Observing Systems

2021 ◽  
Author(s):  
Nora Loose ◽  
Patrick Heimbach
Keyword(s):  
Uncertainty Quantification ◽  
Ocean Climate ◽  
Observing Systems

scholarly journals Leveraging Uncertainty Quantification to Design Ocean Climate Observing Systems

2020 ◽  
Author(s):  
Nora Loose ◽  
Patrick Heimbach
Keyword(s):  
Uncertainty Quantification ◽  
Ocean Climate ◽  
Observing Systems

scholarly journals Consistency of the current global ocean observing systems from an Argo perspective

Ocean Science ◽  
2014 ◽  
Vol 10 (3) ◽  
pp. 547-557 ◽  
Author(s):  
K. von Schuckmann ◽  
J.-B. Sallée ◽  
D. Chambers ◽  
P.-Y. Le Traon ◽  
C. Cabanes ◽  
...  
Keyword(s):  
Sea Level ◽  
Heat Content ◽  
Deep Ocean ◽  
Global Ocean ◽  
Regional Variability ◽  
Tropical Ocean ◽  
Steric Sea Level ◽  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

Abstract. Variations in the world's ocean heat storage and its associated volume changes are a key factor to gauge global warming and to assess the earth's energy and sea level budget. Estimating global ocean heat content (GOHC) and global steric sea level (GSSL) with temperature/salinity data from the Argo network reveals a positive change of 0.5 ± 0.1 W m−2 (applied to the surface area of the ocean) and 0.5 ± 0.1 mm year−1 during the years 2005 to 2012, averaged between 60° S and 60° N and the 10–1500 m depth layer. In this study, we present an intercomparison of three global ocean observing systems: the Argo network, satellite gravimetry from GRACE and satellite altimetry. Their consistency is investigated from an Argo perspective at global and regional scales during the period 2005–2010. Although we can close the recent global ocean sea level budget within uncertainties, sampling inconsistencies need to be corrected for an accurate global budget due to systematic biases in GOHC and GSSL in the Tropical Ocean. Our findings show that the area around the Tropical Asian Archipelago (TAA) is important to closing the global sea level budget on interannual to decadal timescales, pointing out that the steric estimate from Argo is biased low, as the current mapping methods are insufficient to recover the steric signal in the TAA region. Both the large regional variability and the uncertainties in the current observing system prevent us from extracting indirect information regarding deep-ocean changes. This emphasizes the importance of continuing sustained effort in measuring the deep ocean from ship platforms and by beginning a much needed automated deep-Argo network.

The Role of the Satellite in Future Observing Systems

1970 ◽  
pp. 56-70 ◽  
Author(s):  
Morris Tepper ◽  
Stanley Ruttenberg
Keyword(s):  
Observing Systems
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