Argo and Other Drifters* Underway Samplimg Tide Gauges Animal

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Argo and Other Drifters* Underway Samplimg Tide Gauges Animal

Platform Repeat Argo and Underway Moorings Tide gauges Animal Glider/AUV Satellite Airborne Ice stations Ice Shelf hydrography other samplimg sensors Stations & drifters* Traverses (surface) Parameter Temperature XBT, XCTD Yes <- suspended moorings CTDs, and distributed temperature sensing (DTS) Salinity XBT, XCTD Yes <- suspended moorings CTDs Velocity In surface Yes Surface <- moorings layer (ADCPs) Tracers Nutrients Developing Oxygen Yes Microstructure Sea ice Wind, accumulation If ice-free Automatic Automatic weather weather stations on stations on ice shelves ice shelves and fast ice and fast ice Sea surface height If ice-free (SLR) SeaBed pressure Ice SHELF topography InSAR, Radar Radar (RES) GPS (spot and Laser and Laser values or altimetry altimetry traverse) Ice SHELF thickness buoyancy Radio Echo seismic, estimates Sounding RES from surface (RES), topography buoyancy estimates from surface topography Ice SHELF flow speed InSAR, GPS feature tracking, Glacier topography InSAR, Radar Radar (RES) GPS and Laser and Laser altimetry altimetry Glacier flow speed InSAR, GPS, feature boreholes tracking, to measure depth profiles of velocity. SST If ice-free SSS If ice-free Bottom topography gravimetry seismic below ice SHELF Bottom topography gravimetry seismic (seafloor Bathymetry under floating ice ?) Bottom topography RES, RES, (Bedrock under gravimetry Seismic grounded ice) Ice SHELF Basal upward Phase melt/freeze rates looking Coherent altimeter RES (instrument at surface) Ice SHELF englacial Embedded Embedded temperatures (for temperatur temperatur ocean ice heat e sensors e sensors: transfer fluxes) (boreholes) thermistor chains or DTS (boreholes) * Good as complement to other methods, but there is a problem with the drifters moving out of the measurement region too fast. DTS - Distributed Temperature Sensing - e.g. optic fibre systems RES - Radar echo Sounding - i.e. Radar that penetrates ice sheets.

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BIOGRAPHRIES and ABSTRACTS from HMS Challenger to Argo And
BIOGRAPHRIES AND ABSTRACTS From HMS Challenger to Argo and Beyond - Introduction Prof Chris Folland, Met Office Abstract | The purpose of this introductory talk is first to welcome all speakers and participants followed by a brief mention of the backgrounds of the organisers, and how they relate to the topic of the meeting. The revolutionary nature of the ARGO program for oceanography, and climate applications in particular, will be emphasised helped by selected update to date information from the ARGO web site. Finally, the structure of the meeting will be summarised. I will then introduce the next speaker, John Gould. Biography | Professor Chris Folland headed the Met Office Hadley Centre’s Climate Variability and Seasonal Forecasting Group (1990-2008), retiring as a Research Fellow in 2017. Chris was a Lead Author for four reports of the Intergovernmental Panel on Climate Change (IPCC) where, like other Lead Authors, he shared in the Nobel Peace Prize awarded to IPCC in 2007. He has several fellowships and has won a number of national and international awards. Chris remains Honorary Professor at the University of East Anglia, Guest Professor of Climatology at the University of Gothenburg, Sweden and Adjunct Professor at the University of Southern Queensland, Australia. From thermometers to Robots - evolution and revolution Dr W John Gould, National Oceanography Centre Abstract | The talk will show how our ability to collect temperature and salinity profiles from the open ocean has developed starting with the early voyages of HMS Challenger and SMS Gazelle in the1870s, through the 1920s and 30s (Discovery Investigations and Meteor Expedition) to the 1940s and the invention of the bathythermograph.
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Importance of Argo in Mediterranean Operational Oceanography Network (MOON)
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Global Assessment of Semidiurnal Internal Tide Aliasing in Argo Profiles
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Using Argo Under Sea Ice
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Journal of Coastal Development ISSN : 1410-5217 Volume 14, Number 1, October 2010 : 61 - 74 Accredited : 83/Dikti/Kep/2009 Original Paper SPATIAL DISTRIBUTION OF Thunnus.sp, VERTICAL AND HORIZONTAL SUB-SURFACE MULTILAYER TEMPERATURE PROFILES OF IN-SITU AGRO FLOAT DATA IN INDIAN OCEAN. Agus Hartoko* Department of Fisheries. Faculty of Fisheries and Marine Science, Diponegoro University, Semarang 50275. Indonesia Received : July, 2, 2010 ; Accepted : Agust, 10, 2010 ABSTRACT The study was the first ever attempt in fisheries oceanography sciences to explore the empiric correlation between the spatial distribution of tuna (Thunnus.sp) and sub-surface in-situ temperature data. By means of optimalization and use of an in-situ data of both vertical and horizontal which will be processed into a multilayer subsurface seawater temperature of ARGO Float in Indian ocean. So far only sea surface temperature (with temperature around 29 °C) data were used to look for the correlation for tuna spatial distribution, while the Thunnus.sp swimming layer as widely known is in about 80 – 250m depth with seawater temperature between 15 – 23 °C. The noble character of ARGO Float data is as in-situ data recorded directly by the sensors, transmitted to the satellite, transmitted to the ground station and ready to be used by researcher all over the world.In the study, about 216 seawater temperature coordinates of ARGO Float and actual tuna catch data in the same day were used to represent the dry season (April – November 2007) analysis, and about 90 data were used for the rainy season (December – March 2007). The actual tuna catch and its coordinates data were collected with permission from PT.
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On the Future of Argo: a Global, Full-Depth, Multi-Disciplinary Array
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