Extra warmth is found in CERES and in the ARGO
deep ocean data.
Not exact matches
RAPID RETREAT New seafloor
data reveal that Køge Bugt (shown) and other fast - retreating glaciers in southeastern Greenland sit within
deep fjords, allowing warm Atlantic
Ocean water to speed up melting.
SHAKY GROUND Researchers drag sensors across the
ocean near New Zealand to study
ocean floor vibrations, adding
data to the debate about how the Earth moves
deep underground.
Researchers marshaled
ocean temperature and salinity
data to broadly map the
deep water's path (see map, below left).
It's modeled after the NEPTUNE and VENUS projects, the largest
deep ocean observatory networks in the world, which extend the Internet out into the Northeast Pacific in order to gather
data.
Real - world
data back the claim: Accumulations of calcium carbonate in
deep - sea Pacific sediments show that the Pliocene
ocean experienced huge shifts at the time, with waters churning all the way from the surface down to about three kilometers
deep, as would be expected from a conveyor belt — type circulation.
Other papers in the issue examine how
deep sea sediments may affect seismic wave readings, and evaluate how the Cascadia Initiative's
data collection from
ocean bottom seismometers has improved over the first three years of the study.
To untangle the impacts that these three climate stressors will have on seafloor diversity in the future, the researchers examined existing published
data and collected new
data on organisms living in
deep - sea sediments in upwelling regions along continental margins, where the
ocean and continental crusts meet along the seafloor.
Currently, that carbon capture is measured by the Martin curve — a set of
data from the 1980s that shows how more carbon is trapped the
deeper into the
ocean it moves.
After the Japan earthquake, seismic stations,
deep -
ocean buoys and tidal gauges delivered a wealth of
data for accurate tsunami forecasts in Hawaii, California and the rest of the Pacific Rim, but public preparedness can be even more important
Analysing new
data from marine sediment cores taken from the
deep South Atlantic, between the southern tip of South America and the southern tip of Africa, the researchers discovered that during the last ice age,
deep ocean currents in the South Atlantic varied essentially in unison with Greenland ice - core temperatures.
«The
data of the model simulation was so close to the
deep ocean sediment
data, that we knew immediately, we were on the right track,» said co-author Dr Laurie Menviel from the University of New South Wales, Australia, who conducted the model simulation.
The more than 35 technology projects on display at the company's campus included its far - out virtual WorldWide Telescope (WWT), software that is helping the U.S. National Science Foundation's
Ocean Observatories Initiative cull
data from
deep - sea sensors as well as programs designed to make solitary Internet searches a thing of the past.
Scientists travel the
oceans and drill into the
deepest seabeds to collect such
data.
A subsurface
ocean lies
deep within Saturn's moon Dione, according to new
data from the Cassini mission to Saturn.
«It is therefore with
deep sadness and regret that I must inform you that, according to this new
data, flight MH370 ended in the southern Indian
Ocean, west of Perth.
«Most of what's known about the bottom of the
ocean has come from images shot miles up in the water column, and it's a relatively coarse
data set,» Cameron said recently at roundtable discussion in New York City with WHOI scientists who design, build and operate manned and robotic
deep - sea exploration vehicles.
The team, which also involved scientists from British Antarctic Survey and engineers from the National Oceanography Centre, captured
data on temperature, speed of water flow and underwater turbulence rates of the Orkney Passage, a region of the Southern
Ocean which is around 4,000 m
deep and roughly 500 miles from the Antarctic Peninsula.
«Seismologists have observed anomalies in their velocity
data as
deep as 200 kilometers [124 miles] beneath the
ocean floor,» Dasgupta said.
You will find Güralp instruments gathering seismic
data in the harshest of environments, from the Antarctic ice sheet; to boreholes 100s of metres
deep; to the world's most active volcanoes and
deepest ocean trenches.
However, foraminifera
data are limited and difficult to obtain by
deep - sea sediment coring, and the shells are not perfect proxies for
ocean conditions.
The
deep unknown Visualizing the
ocean's mysteries By Lia Petronio and Allie Nicodemo Loading data... Northeastern's Ocean Genome Legacy maintai
ocean's mysteries By Lia Petronio and Allie Nicodemo Loading
data... Northeastern's
Ocean Genome Legacy maintai
Ocean Genome Legacy maintains...
April 23, 2018 • Using historical
data and estimates from
deep - sea trawls that drag nets along the
ocean floor, researchers estimate that millions of tons of catch have gone unreported in the last 50 years.
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You are invited to join me, as together we make unbelievable discoveries
deep within the
oceans, collect empirical
data and struggle to organize, classify and determine the meaning of our findings and our place within this system.
Data collected by a network of free - floating sensors, known as ARGO floats, show that from January 2006 to December 2013, a lot more heat has been finding its way to the
deep ocean instead.
If the correlations were positive, that temperatures matched Scenario B, would you accept skeptics saying, «Sure, but really, Scenario C is more useful», and if the
ocean - heat
data looked like Lyman (2010), them saying «Sure, but that's only because
deeper heat is being transfered to the surface and replaced by cooler waters, but we can't see it»?
There have been many explanations put borth inlcluding
deep ocean heating, ozone chemistry, volcanoes reducing incident energy, trade winds and, of course, Cowtan and Way along with this latest
data set that shows the energy imbalance is still tracking CO2.
There is good evidence that the answer to both these question is no: (The insensitivy of the results to methodology of selecting rural stations, the Parker et al windy days study, and the fact that
data from satellite skin surface measurements, from sea surface temperatures,
deep ocean temps as we as tropospheric temps are all in good agreement).
It is because the
deep ocean adjusts so slowly, that the long term remaining imbalance will be small and barely noticeable in the surface temperature
data.
Abstract: «Comparison of sea - ice draft
data acquired on submarine cruises between 1993 and 1997 with similar
data acquired between 1958 and 1976 indicates that the mean ice draft at the end of the melt season has decreased by about 1.3 m in most of the
deep water portion of the Arctic
Ocean, from 3.1 m in 1958 — 1976 to 1.8 m in the 1990s...»
Using the SFZ 2008 tar file archive
data in combination with the
deep -
ocean diagnostic model and control - run
data used in SFZ 2008, and a
deep -
ocean diagnostic observational trend calculated from the Levitus et al 2005 dataset, I can produce broadly similar climate parameter PDFs to those in the Forest 2006 main results (Figure 2: GSOLSV, κsfc = 16, uniform prior), with a peak climate sensitivity around S = 3.
Alternatively, the
deep -
ocean model
data that was used in Forest 2006 may differ from that used in SFZ 2008, which matches the
deep -
ocean data used in the CSF 2005 study, provided at an earlier date than was the SFZ 2008 surface and upper air
data.
If you can point me to a source of complete annual
data for surface, upper air and
deep ocean temperatures from the HadCM2 and / or GFDL (R30b?)
b) when used with the HadCM2 - derived surface control
data covariance matrix from the SFZ 2008
data, which I have largely been able to agree to raw
data from the HadCM2 AOGCM control run (which
data Dr Forest has confirmed was used for the Forest 2006 main results), the CSF 2005 surface model and observational
data produces, irrespective of which upper air and
deep -
ocean dataset is used, a strongly peaked PDF for climate sensitivity, centred close to S = 1, not S = 3 as per Forest 2006.
However, that dataset is compatible, when using the surface, upper air and
deep -
ocean data in combination, with a central estimate for climate sensitivity close to S = 3, in line with the Forest 2006 results.
The code currently starts from the annual - mean
data for the surface, upper - air, and
deep -
ocean temperatures that were extracted from the MIT IGSM model output files.
In summary, I have copies of datasets used in two studies related to Forest 2006, both of which should contain the same temperature
data as used in Forest 2006 (save for the
deep -
ocean observational
data).
Observational
data on many key climatic variables is extremely limited, particularly for sluggish components of the system such as
deep ocean currents.
The increase in
deep ocean heat content is also a robust result in
data sets that do not include reanalysis.
This sacred cow turns out to be as fanciful as planetary warming hidden in the
deepest ocean, or the infamous hockey stick of Michael Mann's hidden
data and secret computer codes.
The
data are what they are - we've measured the
deep ocean warming, including with reliable Argo buoys for close to a decade now.
Of the heat accumulating in the upper 1,800 meters of
oceans for 2004 — 2011, 46 percent was sequestered in the
deep oceans (below 700 meters) in the Lyman & Johnson
data set.
For example, as discussed in Nuccitelli et al. (2012), the
ocean heat content
data set compiled by a National Oceanographic Data Center (NODC) team led by Sydney Levitus shows that over the past decade, approximately 30 percent of ocean heat absorption has occurred in the deeper ocean layers, consistent with the results of Balmaseda et al. (20
data set compiled by a National Oceanographic
Data Center (NODC) team led by Sydney Levitus shows that over the past decade, approximately 30 percent of ocean heat absorption has occurred in the deeper ocean layers, consistent with the results of Balmaseda et al. (20
Data Center (NODC) team led by Sydney Levitus shows that over the past decade, approximately 30 percent of
ocean heat absorption has occurred in the
deeper ocean layers, consistent with the results of Balmaseda et al. (2013).
The «puzzling» facts triggered the predictable alarmist tactic of attacking the
data and claiming the heat was hiding in the really
deep ocean.
It involved a huge amount of
data, taken from
ocean buoys that take the temperature of the
deep sea, along with satellites that measure energy flowing into and out of the atmosphere.
Forest 2006, along with several other climate sensitivity studies, used simulations by the MIT 2D model of zonal surface and upper - air temperatures and global
deep -
ocean temperature, the upper - air
data being least influential.
However, when there is only one
data variable, as with the
deep -
ocean diagnostic (being its temperature trend), and hence one whitened discrepancy, delta.r2 is the square of one N (0,1) variable, not the sum of the squares of three N (0,1) variables.
Several recent studies have also concluded that it is necessary to include
data from the
deep ocean in order to reconcile global heat content and the TOA energy imbalance, which DK12 failed to do.