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They find that the use of sea surface temperatures biases the Otto result low by about 9%, and the lack of Arctic observations by another 15%.
Another finding was that the combination use of sea surface temperature (SST) and chlorophyll made it possible to understand the dynamics of water mass better than before.
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Instead of using measurements of sea surface roughness, wind speed measurements from OSO (approximately 200 m away from the GNSS tide gauge installation) were used to indicate sea surface roughness, similar to [22].
The study uses a reconstruction of sea surface temperatures in the North Atlantic to find that starting in around 1970 or 1975, the overturning circulation started to weaken — an event likely triggered by an unusual amount of sea ice traveling out of the Arctic ocean, melting, and causing freshening.
They are developing a new scientific model that will shrink to as little as three days the time it takes to establish or rule out a link to climate change, in large part by using highly accurate estimates of sea surface temperatures rather than waiting for the actual readings to be published – a process that can often take months.
Using 13-year climatologies of sea surface temperature (SST), photosynthetically active radiation (PAR), and chlorophyll a (chl-a), we classified seascapes in environmental space that were monthly-resolved, dynamic and nested in space and time.
However it diverges most from previous studies by providing multiple predictions of future conditions: multiple runs of 20 structurally-different Atmosphere-Ocean General Circulation Models (AOGCMs) and a separate Monte Carlo approach are used to provide separate predictions of sea surface temperature (SST) and Ωa.
Methodology studies include an investigation of model-free retrieval of sea surface height using a power ratio method combined with cost function optimisation when the sea surface is rather rough [39].
Recent successes in global mapping of sea surface salinity using L-band radiometers aboard ESA's SMOS and NASA's Aquarius satellites provide additional motivation for developing techniques to deduce corrections for roughness influence on L-band emissivity.
This study presents one-dimension variational retrieval of sea surface wind vectors using simulated microwave polarimetric measurements at 10.7, 18.7, and 37 GHz.
Both systems use the NRL Layered Ocean Model (NLOM) with assimilation of sea surface height from satellite altimeters and sea surface temperature from multi-channel satellite infrared radiometers.
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