The Data Management System for the Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative

Smith, Shawn R.; Rettig, Jacob; Rolph, J.; Hu, Jiangyi; Kent, Elizabeth C.; Schulz, Eric; Verein, Ruslan; Rutz, S.B.; Tanhua, Chris

doi:10.5270/oceanobs09.cwp.83

Cited by 18 publications

(23 citation statements)

References 10 publications

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“…[21] The version 200 SAMOS data, which have undergone common formatting, metadata enhancement, and automated quality control [Smith et al, 2010], are used in this study. Version 200 data have been compacted into daily files and are available from 2005 onward.…”

Section: Samos Datamentioning

confidence: 99%

“…The SAMOS initiative is complementary to the VOS project, with a few key differences. A SAMOS automatically records navigational, meteorological, and oceanographic parameters with a computerized data logging system at 1 min intervals [Smith et al, 2010]. VOS observations are reported every 1-6 h and could be either manual or automated measurements.…”

Section: Samos Datamentioning

confidence: 99%

See 1 more Smart Citation

Quantifying variance due to temporal and spatial difference between ship and satellite winds

May

Bourassa

2011

J. Geophys. Res.

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[1] Ocean vector winds measured by SeaWinds can be validated with comparison in situ data that are within a certain time and space range to the satellite overpass. The total amount of random observational error is composed of two primary components, which are quantified in this study: the uncertainty associated with the data sets and the uncertainty associated with the temporal and/or spatial difference between two observations. The variance associated with a temporal difference, which can be translated into a spatial difference using Taylor's hypothesis, between two observations is initially examined in an idealized case that includes only Shipboard Automated Meteorological and Oceanographic System (SAMOS) 1 min data. The results show that the amount of variance in wind speed and direction increases as the time difference increases, while the amount of variance in wind speed increases and direction decreases with larger wind speeds. Collocated SeaWinds and SAMOS observations are used to determine the total amount of variance associated with a temporal (equivalent) difference from 0 to 60 min. For combined differences less than 25 min (equivalent) and the selected wind speed bins, the variance associated with the temporal and spatial difference is dominated by small changes in the wind speed distribution, and the sum of the observational errors is approximately 1.0 m 2 s −2 (12 deg 2 ) and 1.5 m 2 s −2 (10 deg 2 ) for wind speeds between 4 and 7 m s −1 and 7-12 m s −1 . For larger combined differences, the observational error variance is no longer the dominant term; therefore, the total variance is seen to gradually increase with increasing time differences.Citation: May, J. C., and M. A. Bourassa (2011), Quantifying variance due to temporal and spatial difference between ship and satellite winds,

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Section: Samos Datamentioning

confidence: 99%

Section: Samos Datamentioning

confidence: 99%

Quantifying variance due to temporal and spatial difference between ship and satellite winds

May

Bourassa

2011

J. Geophys. Res.

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“…Recent work at COAPS and through the Shipboard Automated Meteorological and Oceanographic System (SAMOS) initiative is improving upon this situation and has added data from the World Ocean Circulation Experiment (1990-98) into R2.5. Expansion and support for this effort would be an important asset for ICOADS and procedures are being developed to make this a routine part of SAMOS data archiving practices [33]. The inclusion of meteorological observations from the WOD has also been helpful in this regard.…”

Section: Future Objectivesmentioning

confidence: 99%

“…Data sources include commercial and military ships, RVs, moored and drifting buoys, platforms and some coastal and island data. Some data, such as those from RVs [33] or the moored [24] and drifting buoys [19] are available in other archives, but the strength of ICOADS is that it brings all data sources together in a common format, and contains much data not available from any other source. The observations include SST, air temperature, humidity, surface pressure, wind speed and direction, wind wave and swell heights, directions and periods, cloud cover, types and heights, weather codes, ice information; plus reported (and some delayed-mode) metadata elements.…”

Section: Icoads Compositionmentioning

confidence: 99%

The Role of the International Comprehensive Ocean-Atmosphere Data Set in the Sustained Ocean Observing System

Worley¹,

Woodruff²,

Lubker³

et al. 2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) is an archive of in situ marine surface observations and products, which has been developed over 25 years. The current Release 2.5 spans 1662-2007 and has preliminary monthly updates for 2008 onwards. ICOADS is a worldwide respected reference dataset, combining data from multiple sustained ocean observing systems. In this paper, the impact of ICOADS on associated advanced data products and research is reviewed, the improvements in data composition and coverage relative to the previous Release are illustrated, the positive influence and support from the international collaborators is described, the free and open access is recounted, and the future objectives and recommendations to the community are defined.

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“…Historically, flux observations on RVs have only been collected during dedicated science cruises but following OceanObs'99 routine underway data collection efforts have begun with the establishment of the SAMOS (Shipboard Automated Meteorological and Oceanographic System) initiative [35]. RVs provide a versatile platform for flux measurement including gases and particles.…”

Section: Research Vessels (Rvs)mentioning

confidence: 99%

Observations to Quantify Air-Sea Fluxes and their Role in Climate Variability and Predictability

Fairall¹,

Barnier²,

Berry³

et al. 2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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Flux products quantifying exchanges between ocean and atmosphere are needed for forcing models, understanding ocean dynamics, investigating the ocean's role in climate, and assessing coupled models. Research experiments are essential to improve flux parameterizations, and longer research deployments are required to sample rare events. Urgently needed technological improvements include longer battery life, more robust sensors and improvement of sensors for humidity, precipitation and direct gas and particle fluxes. A range of different flux products are needed, incorporating data from ships, satellites and models in different combinations and using different methods. All products must be characterized with uncertainty estimates. Dataset validation requires high quality observations from ocean flux reference sites and from ships. The continued development of flux products from satellites provides much-needed sampling. Continual intercomparisons among products and with high quality observations will lead to improved flux datasets, while improvements to the flux data management system would facilitate these intercomparisons.

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The Data Management System for the Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative

Cited by 18 publications

References 10 publications

Quantifying variance due to temporal and spatial difference between ship and satellite winds

Quantifying variance due to temporal and spatial difference between ship and satellite winds

The Role of the International Comprehensive Ocean-Atmosphere Data Set in the Sustained Ocean Observing System

Observations to Quantify Air-Sea Fluxes and their Role in Climate Variability and Predictability

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