Sentences with phrase «ocean data analysis»

The observation - based (Global Ocean Data Analysis Project; GLODAP) 1994 saturation horizon (solid white line) is also shown to illustrate the projected changes in the saturation horizon compared to the present.
Scientists on both sides of the climate debate have been critical of Karl's paper and the adjustments made to temperature in the new data set, particularly the ocean data analysis.

Not exact matches

The big - data company, based on Hashlosha Street in Tel Aviv, analyzes maritime risks through reliable mapping and analysis of all the information about maritime traffic on the oceans and seas.
According to Nix, the success of Cambridge Analytica's marketing is based on a combination of three elements: behavioral science using the OCEAN Model, Big Data analysis, and ad targeting.
This week brings a video reconstructed from images of the Philae lander's approach to a comet, and a major new analysis of data from the Cassini mission that bolsters the case for a global, not just local, ocean beneath the icy crust of Enceladus
«These patterns that are based on decadal analysis of modern data, and then the hydroclimate proxies that give the salinity in the oceans and the rainfall on land seem to show the same picture.»
After further analysis of the data, the scientists found that although a strong El Niño changes wind patterns in West Antarctica in a way that promotes flow of warm ocean waters towards the ice shelves to increase melting from below, it also increases snowfall particularly along the Amundsen Sea sector.
The scientists» analyses detected antibiotic resistance gene determinants in all 71 environments represented in the public data, including soil, oceans, and human feces.
Scientists are beginning to unravel how these multiple stressors are affecting species across large spans of ocean, but much more data and analysis is needed.
Tamsin Edwards, a climatologist at the Open University in the UK, says it is too early to tell, since changes in the PDO can only be detected through statistical analysis of large amounts of data on ocean surface temperatures.
«Restoring ocean health: Analysis of 10 years of monitoring data from marine protected areas in the Channel Islands finds positive results.»
A new analysis of tide gauge data has found that oceans rose just 1.2 millimeters a year between 1901 and 1990, researchers report online today in Nature.
An analysis of satellite data yielded further clues about the plane's final movements, indicating it went down in the Indian Ocean
To do this, they combined ocean wave data available from measurements taken by ocean buoys, with nonlinear analysis of the underlying water wave equations.
We rejected any years in which there were missing months from the HadSST3 data analysis and we also calculated the global averages only for years in which at least half of the ocean surface consisted of valid data.
It is encouraging that the coupled ocean - atmosphere GCMs give similar results to the data analysis, though.
Marine planktonic ecosystem dynamics, biogeochemical cycling and ocean - atmosphere - land carbon system, ocean acidification, climate change and ocean circulation, satellite ocean color, air - sea gas exchange, numerical modeling, data analysis, and data assimilation
Scientists have long suspected that the network of cracks in Europa's ice sheet could indicate a large volume of water underneath, and recent analysis of magnetic field data from the Galileo probe seems to confirm there is a salty ocean down there.
However, comparison of the global, annual mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2data) shows a high correlation (r = 0.96) for the period 1955 to 2005.
Consequently there have been several data analyses on ocean heat since 2003.
However, the large - scale nature of heat content variability, the similarity of the Levitus et al. (2005a) and the Ishii et al. (2006) analyses and new results showing a decrease in the global heat content in a period with much better data coverage (Lyman et al., 2006), gives confidence that there is substantial inter-decadal variability in global ocean heat content.
Rather, their analysis shows that if you compare the LGM land cooling with the model land cooling, then the model that fits the land best has much higher GLOBAL climate sensitivity than you get for best fit if you use ocean data.
A new analysis of nearly five decades of data has revealed the oceans» dissolved oxygen levels started dropping in the 1980s as global temperatures began to climb.
But a computer analysis led by Katherine Pollard, a biostatistics professor at the University of California, San Francisco and a senior investigator at the Gladstone Institute, recently sifted through an ocean's worth of detailed data that's been collected on gut bacteria.
The OAiRUG is working with research projects on ocean acidification and with the Ocean Acidification International Coordination Centre to examine in detail the types of data, analyses and products that are most useful to managers, policy advisers, decision makers and politicocean acidification and with the Ocean Acidification International Coordination Centre to examine in detail the types of data, analyses and products that are most useful to managers, policy advisers, decision makers and politicOcean Acidification International Coordination Centre to examine in detail the types of data, analyses and products that are most useful to managers, policy advisers, decision makers and politicians.
A total of 2.3 million salinity profiles were used in this analysis, about one - third of the amount of data used in the ocean heat content estimates in Section 5.2.2.
Analysis of radar images and some communications data have focused the search on an area of the southern Indian Ocean about 1,100 miles west of Perth, Australia.
The Web GIS tutorial video and the teacher guide also models data exploration and analysis techniques for using the elevation - profile tool to discover that ocean bathymetry is related to both surface heat flow and the age of the ocean floor.
For example, due to the lack of ocean data, secondary data is often used to infer what the ocean is doing — thus, the AMO analysis relies not on ocean temperature measurements, but rather on air pressure measurements as a proxy for ocean behavior — iffy at best.
In order to truly call global warming into question, one would also have to prove satellite data, borehole analysis, glacial melt, sea ice melt, sea level rise, proxy data, and rising ocean -LSB-...]
Re: # 48: We didn't incorporate any ocean data other than SST in our analysis, so I can't really comment on the effects of a warming at depth.
That implies the existence of data from 110E to 130E which meets the putative criteria for the Lindzen et al. analysis — open ocean NW of Australia and warm pool ocean in the Indonesian archipelago.
One thing I would have liked to see in the paper is a quantitative side - by - side comparison of sea - surface temperatures and upper ocean heat content; all the paper says is that only «a small amount of cooling is observed at the surface, although much less than the cooling at depth» though they do report that it is consistent with 2 - yr cooling SST trend — but again, no actual data analysis of the SST trend is reported.
4) Because of the NE corner of Australia (excluded in the Lindzen et al. analysis), the actual data analyzed by Lindzen et al. is approximately 60 - 65 % ocean above the equator and 35 - 40 % below the equator.
As noted in that post, RealClimate defines the Atlantic Multidecadal Oscillation («AMO») as, «A multidecadal (50 - 80 year timescale) pattern of North Atlantic ocean - atmosphere variability whose existence has been argued for based on statistical analyses of observational and proxy climate data, and coupled Atmosphere - Ocean General Circulation Model («AOGCM») simulatocean - atmosphere variability whose existence has been argued for based on statistical analyses of observational and proxy climate data, and coupled Atmosphere - Ocean General Circulation Model («AOGCM») simulatOcean General Circulation Model («AOGCM») simulations.
Further, NCEI's ocean surface temperature analysis disagrees substantially with NOAA's other SST data set (OISST), using satellite data and the buoys.
They find about 0.25 °C less Arctic warming during the past decade than in the GISS analysis, a difference that they attribute to our method of interpolating and extrapolating data, especially into the Arctic Ocean regions where no station data are available.
** I note that an analysis of ocean data has shown no significant warming during the period of 1978 -2000.
Observing System Simulation Experiments use the Hybrid Coordinate Ocean Model (HYCOM) and GFDL's GM2.6 climate model to interpret data and develop analysis and observing techniques in the Earth's oceans.
In this data analysis activity, students explore how hurricanes extract heat energy from the ocean surface by tracking Hurricane Rita and sampling sea surface temperatures along its path.
However, comparison of the global, annual mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2data) shows a high correlation (r = 0.96) for the period 1955 to 2005.
Despite the fact that there are differences between these three ocean heat content estimates due to the data used, quality control applied, instrumental biases, temporal and spatial averaging and analysis methods (Appendix 5.
The latest data analysis locates most of that missing heat deep in the Atlantic Ocean.
The US CLIVAR / OCB Southern Ocean Working Group was formed to identify critical observational targets and develop data / model metrics based on the currently available observational data, both physical and tracer, and the assimilative modeling (re) analyses, and evaluate and develop our understanding of the importance of mesoscale eddies in the heat and carbon uptake and of the response of the Southern Ocean to a changing climate, using high - resolution numerical studies and theory.
SLR satellite data includes things such as the «GIA Adjustment» — which is the amount of SLR that there would have been if the ocean basin hadn't increased in volume and in the case of this new study, how much higher the sea surface would have been if it had not been suppressed by the Mount Pinatubo volcanic eruption, another correction for ENSO / PDO «computed via a joint cyclostationary empirical orthogonal function (CSEOF) analysis of altimeter GMSL, GRACE land water storage, and Argo - based thermosteric sea level from 2005 to present», as well as other additions and adjustments — NONE OF WHICH can actually be found manifested in any change to the physical Sea Surface Height.»
Analysis of self - attraction and loading effects on ocean mass using geophysical models and GRACE data
Nadya T. Vinogradova; Rui M. Ponte; Mark E. Tamisiea; Katherine J. Quinn; Emma M. Hill; James L. Davis (2011) Analysis of self - attraction and loading effects on ocean mass using geophysical models and GRACE data.
This «new evidence» is based on a single analysis of «proxy» data (that is, data that do not come from thermometers but rather from sources like tree rings, ice cores, corals, and ocean and lake sediments) showing the twentieth century to be the warmest in the past thousand years.
Another problem with Curry's analysis is that she simply eyeballs the ocean heat content graph in Lyman & Johnson (2013) and concludes that since 2003, the data look flat.
When the first analyses of Ocean Heat Content calculated from old temperature data from the oceans where first published in the early 2000's, they were described as the «Smoking Gun».
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