Sentences with phrase «different sst»

Why are these two bits of the same current having completely different SST signals, and what agent is responsible for the change???? Conclusion: GW is a chain reaction caused by the human effects upon evapotransportation from the Nile flood plains into the AEW arena............ END OFF DISCUSSION
You can also get the Nino 3.4 values from various different SST datasets at the Climate Explorer — monthly climate indices section.
[The SST bias adjustments after 1941 (from HadSST3) are based on intercomparisons of different SST measurements and on the metadata.
The bias correction procedure was changed and this resulted in different SST anomalies and different trends during the last 15 + years relative to ERSST version 3.
Yasunaka and Hanawa (2011) examined a range of climate indices based on seven different SST products.
Since I tend to enjoy the ocean paleo more than most I have focused more on convective trigger temperatures and issues with different SST proxies.
Currently there are many different SST data sets available derived from satellite systems.
Different Sst interneurons, or type of nerve cell, in the outer shell, or cerebral cortex, of the mouse brain.
VIDEO: 3D images of different Sst interneurons, or type of nerve cell, in the outer shell, or cerebral cortex, of the mouse brain.

Not exact matches

Therefore, in 99.8 % of SSTs, and 12 of 13 females, sperm from different males were completely segregated in storage.
Virtually no tubules examined (0.2 %) contained sperm from both males, supporting our hypothesis that sperm from different ejaculates are stored differentially across the SSTs of female birds.
In summary, we have demonstrated that sperm from different males are differentially stored in the SSTs of female zebra finches.
This paper demonstrated that there was very likely an artifact in the sea surface temperature (SST) collation by the Hadley Centre (HadSST2) around the end of the second world war and for a few years subsequently, related to the different ways ocean temperatures were taken by different fleets.
Different countries give different advice to their observing fleets concerning how best to meaDifferent countries give different advice to their observing fleets concerning how best to meadifferent advice to their observing fleets concerning how best to measure SST.
«However, compensation for a different potential source of bias in SST data in the past decade the transition from ship to buoy - derived SSTs, might increase the century - long trends by raising recent SSTs as much as 0.1 °C, as buoy - derived SSTs are biased cool relative to ship measurements»
The warming trend appears in the western pole around the 1910s, about a decade earlier than in the eastern pole in both the ERSST and Kaplan SST datasets, which were reconstructed by different methods, although the limitation of the quality in the historical SST data disallows a precise discussion on this issue.
GCM results are used: «The large - scale thermodynamic boundary conditions for the experiments — atmospheric temperature and moisture profiles and SSTs — are derived from nine different Coupled Model Intercomparison Project (CMIP2 +) climate models.»
Two different historical SST reconstructions are used in this study, but overall our results are not sensitive to which SST datasets are used.
SSTs are higher here now too, and oldtimers are saying that the summer wind and weather patterns are different.
The SST structure is completely different, as is the shear.
The time - series of an E-W SST difference, defined analogously with our DSLP index (difference of the average (80E - 160E, 5 S - 5N) and (160W - 80W, 5S - 5N)-RRB-, shows the different evolution in the two products:
We've put up figures of the near - equatorial SST anomalies from both Kaplan and NOAA - ERSST, and the different evolution is clear:
It is worth mentioning that different observationally - based SST products indicate a different change in the E-W SST gradient in the Indo - Pacific.
We note that none of these SST - gradient changes are significantly different from zero at p = 0.05 given the model internal variability.
Sorry, I was comparing heat content (not SST, neither SAT) of different parts of the oceans down to 300 m depth (where most of the variation is visible), based on the data of Levitus e.a. which can be downloaded from the NOAA web site.
But while the graph was only for SST (sea surface temperature, something different of SAT — surface air temperature, even at sea), the influence of the solar cycle and volcanic episodes (El Chicon and Pinatubo) is visible globally in the oceans until a depth of 300 m in the Levitus data.
Over the longer term, there are also different indices calculated — specifically a met - station only dataset and the land - ocean index (which additionally uses SST).
If Bob used a different dataset instead of GISS that did nt have the problem he worried about (deletion of some SST) would that be better?
Braesicke, P. and J.A. Pyle, 2004: Sensitivity of dynamics and ozone to different representations of SSTs in the Unified Model, Q. J. R. Meteorol.
Ocean currents sometimes mix and sometimes stratify the signals from different parts of the oceans, but since they, too, can change with season, with wind direction and velocity, and with changes in THC / MOC, they also create variations in SST.
The different ice areas in and around the Arctic behave differently to oceanic currents, local SST, land boundaries, weather systems, and wind.
Small - scale mesocosm experiments, where field populations of marine Crenarcheaota are adapted to different temperatures, will be used to further calibrate the TEX86 - SST relationship.
This means the SST different between the western and the east - central Pacific is not as much as it might be.
Note that the La Niña in 2011 — 12 has different character owing to the absence of the high SSTs in the Indian and Atlantic Oceans.
Now with a slightly different group, Li has compiled data from multiple sources and performed model simulations to investigate the possibility that Arctic stratospheric ozone is connected to the ENSO via the North Pacific sea - surface temperature (SST).
The other thing is that SST and SAT have different variances and different uncertainties and they respond with different lags, so I UNLES Vaugh does some work with synthetic data FIRST to prove that the methods he applies to this data actually work, I'd say the signal analysis is flawed from the start since the «signal», the temperature curves are not really physical metrics.
The Medspiration Project is a European initiative, funded by ESA (in the frame of DUE program), to combine sea surface temperature (SST) data measured independently by several different satellit...
«To conclude, modeled atmospheric circulation and SST trends over the past century are significantly different from the observed ones.
Actually, the magnitude of the low - frequency component of ENSO is not that much different than the long - term variations in annual Global SST anomalies.
The weather patterns that accompany different PDO phases will modulate the temperature of the SST's being blown into the Equatorial Pacific.
So how do we create SST trends from readings that are being taken from different spots every time they are taken?
Their justification for using SST in place of air temperature is that there is «more useful data and smaller sampling errors»?!?? As a long - time sailor and commercial fisherman, I can assure you that sea and air temperatures are often quite different.
Now, without diverting into whether the bias adjustments are «right» or not, it is clear that projected land temps when running the same model constrained with uncorrected SST * will * produce land temps that are significantly different to those produced when using bias adjusted SST.
Notice how SST and BEST wander off in different directions around 1900.
It is direct corollary of this this if you constrain the model with SSTs that contain climate variations significantly different from the climate they are designed to replicate they will produce different output.
Some marine observations are improving in quality and number — SST is particularly well served by a range of different satellite instruments, the moored buoy arrays and a large number of surface drifters — while others are declining or being maintained.
Historic SST's are in large part little more than vague guesses using water drawn at all sorts of different depths, at different times of the day in different locations, samples often left in the sun, using un calibrated equipment and then the results interpolated in order to come up with data supposedly accurate to fractions of a degree..
Of particular interest is the coverage and SST bias in trends for different start dates, shown in Table 1.
The first set of simulations, referred to as Global Atmosphere - Global Ocean (GOGA) experiments, are forced with prescribed SST and sea ice concentrations from the observational datasets of Hurrell et al. (2008) for 1979 — 2008, with different initial conditions for each ensemble member.
Note that the datasets show different quantities; in the sea ice zone the GISTEMP, M10 and CHAPMAN data represent air temperature (though CHAPMAN air temperatures are inferred from SST input data); north of the sea ice edge the M10 and CHAPMAN data represent air temperature while GISTEMP represents SST; MSU represents tropospheric - average temperatures everywhere.
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