Sentences with phrase «data at all time scales»

It sifts data at all time scales and extracts the underlying processes associated with them.

Not exact matches

It all amounts to a push toward one - to - one marketing at scale, but it's also a way to get real - time data on how people buy its products, which can then feed back into merchandising.

Dremio simplifies and governs the process of achieving interactive speed on data from any source, at any scale, at any time, through a self - service model delivered on an open source platform.

Today, our API platform - as - a-service enables you to plug directly into over 690 trading partners to access real - time transactional data at scale.

See how you can be fast and agile everywhere, and glean intelligence from analyzing data, at massive scale, in real - time.

There may be compelling reasons for people to want their data to remain within their borders but, at the same time, some of these massive scale efficiencies are likely to be lost and we are likely to see the cost of these cloud services rise.

No presidential campaign has ever had access to voter data on this scale or updated this constantly, and it gave Obama's staff an edge their opponents may not have recognized even existed at the time.

Using different calibration and filtering processes, the two researchers succeeded in combining a wide variety of available data from temperature measurements and climate archives in such a way that they were able to compare the reconstructed sea surface temperature variations at different locations around the globe on different time scales over a period of 7,000 years.

To figure out what's really happening within an organism — or within a particular organ or cell — researchers are linking the genome with large - scale data about the output of those genes at specific times, in specific places, in response to specific environmental pressures.

With the help of satellite data, the new analysis looked at reefs on a much finer scale than did the effort in 1998, with a 64 times greater resolution.

«This is the first time we've combined U.S and Canadian fisheries data from the Atlantic, Pacific and Gulf of Mexico coasts of North America at this scale,» said study co-author Michael Fogarty, a fisheries biologist at the Woods Hole Laboratory of NOAA's Northeast Fisheries Science Center (NEFSC).

The Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program promotes transformational advances in science and technology for computationally and / or data intensive, large - scale research projects through large allocations of computer time and supporting resources at the Argonne and Oak Ridge Leadership Computing Facility (LCF) centers, operated by the US Department of Energy (DOE) Office of Science.

«Over time, I expect the GDC will play a more and more important role in providing the data required at the scale required so that precision medicine fulfills its promise.»

Learners self assess their own ability and confidence in each individual subject at the beginning at at the end of the booklet and includes a full glossary: Topics included are: Understanding Number Rounding and Estimating Averages Fractions Decimals and Percentages Money and time Ratio, Scale and Proportion Units of measure 2d and 3d shapes and Angles Perimeter, Area and Volume Data handling and graphs Probability

---- Concurrent - Related Evidence of Validity: Concurrent - related evidence of validity is observed when, in this case, large - scale standardized test and other criterion data are collected at the same time.

A data guided, tiered student support system that uses early warning indicators and an integrated system of whole school, targeted and intensive supports to get the right intervention, to the right student, at the right time at the scale and intensity required (along with rapid recovery options when this does not work).

At convenings, CPAC members grapple with and explore questions around scaling performance assessments: training teachers to develop and implement assessments and to make instructional shifts based on data; calibrating teachers around student scoring; creating master schedules that allow students adequate time to work on their capstone projects or portfolios and teachers time to collaborate with each other and support students, and more.

I know David Gaughran has some fairly accurate estimations that he's used before, but here's a what if for you: What if you could accurately model Amazon's ebook sales using data submitted by selfpub authors (which I remember seeing a blogger on the Writer's Cafe who was already doing this with extreme accuracy) combined with a sliding scale, using the same data, to determine sales at any given time (because being the # 5 bestseller in the Mystery category on Tuesday doesn't mean the same sales on Thursday).

At the same time, having data could help you make larger - scale adjustments in your spending in different categories — that is, not just finding a cheaper brand, but cutting down on entire kinds of purchases altogether.

Remember that we are looking at a relationship on long time scales, i.e. ~ 15 years is one independent data point for us.

The data set (s) available do not extend over enough time to be used for an accurate determination of periodicity at these time scales.

There are two very basic answers: First, looking at changes in data gets rid of biases at individual stations that don't change in time (such as station location), and second, for surface temperatures at least, the correlation scale for anomalies is much larger (100's km) than for absolute temperatures.

They have not analyzed the first year of data yet, but in my lab we have looked at results from a similar set of moorings at 15N (Uwe Send's work) and find rather significant variability on weekly to monthly time scales (but no trend over the 4 years of data).

You note that at decadal time scales, the new RSS data is consistent with the models, while the old UAH data is not; what about the new UAH data?

Given some trial you mentioned had some data on how much additional carbon was sequestered it should be possible to do a calculation on whats possible at larger scale and over what time periods

You yourself in your 2008/9 reconstructions provided an ensemble of reconstruction possibilities, yet now you seem fixated on one model and one NH record (derived using mainly RW data which clearly only had skill at time - scale > 20 years).

FWIW, my best guess is that the difference between weather (which can not be predicted reliably for more than a few days no matter how much computing power you throw at it, and due to the data quantity / quality problem, it may well be technically impossible entirely under real - world conditions) and climate (which can be much better predicted on a global scale for a longer period of time with a higher degree of accuracy — still, a few years are the technical limit) is a difference of scale.

The two of us, along with Tom Peterson of the National Climatic Data Center, undertook a literature review to try to move beyond the anecdotes and understand what scientists were really saying at the time regarding the various forces shaping climate on time human time scales.

-- These storms should penetrate higher as climate warms according to the models, a positive feedback, and satellite data looking at cloud height changes over El Nino time scales show something similar and show the models getting that about right also, for physical reasons we think we understand

«In reality climate models have been tested on multicentennial time scales against paleoclimate data (see the most recent PMIP intercomparisons) and do reasonably well at simulating small Holocene climate variations, and even glacial - interglacial transitions.

Capitalizing on the GlobCover, GLC2000, GlobAlbedo and GlobCorine experiences, benchmarks and developments of algorithms and methods were carried out to pre-process the various data types according to the state - of - the - art and to discriminate the land cover type in a consistent way over time at global scale.

I have examined this data set in great detail over the years, at widely varying time scales and for many different sub-sections, and can show and date the «known» events, and can speculate on others that seem not to have been noticed.

Richard... I'm glad that you agree that pretty much any data set you choose in the 15 year time scale is not going to be statistically significant at the 95 % confidence level.

The challenge of collecting and analyzing precipitation data collected at different times, in different places, and on different scales.

Data is made up Data is ok but not related Data is related but not on the time scale Data is no good at Tromso but is ok at Honolulu Data is all fine but it correlation is spurious, because some woman found one

This requires collecting more data at high resolution in time and space, and the use of isotopes to bridge top - down and bottom - up observations to identify methane sources across these measurement scales.

It is complicated by the fact that empirical data at the right time scale and of right level of detail is very limited.

Paleo ocean data indicates that the southern oceans have warmed since the LGM and the Tropical oceans have little change at all over any time scale.

(A) coordinate programs at the National Oceanic and Atmospheric Administration to ensure the timely production and distribution of data and information on global, national, regional, and local climate variability and change over all time scales relevant for planning and response, including intraseasonal, interannual, decadal, and multidecadal time periods;

A number of analysis methods have a tendency to lose variance at a range of time scales either because they do not explicitly resolve small scale processes (Kaplan et al. 1997, Smith et al. 2008) or because in the absence of data the method tends towards the climatological average (Ishii et al. 2005).

However, since their data is barely resolved at 100 year time scales (with decimeter vertical resolution), I would not place high confidence in their conclusion.

Surveys were grouped by 0.5 - degree pixel at twice - weekly time intervals to allow satellite data and field surveys to be analyzed at comparable scales.

In fact, they state that the data «clearly show» that «strong natural variability has been characteristic of the Arctic at all time scales considered,» and they reiterate that the data suggest «that the human influence on rate and size of climate change thus far does not stand out strongly from other causes of climate change.»»

it cuts deeper... the raw data is a drawer of odd socks - thermometers calibrated against what, reading on what scale, sited at coordinates defined by which system, read at which times of day, how frequently... BEST comes along, throws some more sites into the mix..

Analyses of tide gauge and altimetry data by Vinogradov and Ponte (2011), which indicated the presence of considerably small spatial scale variability in annual mean sea level over many coastal regions, are an important factor for understanding the uncertainties in regional sea - level simulations and projections at sub-decadal time scales in coarse - resolution climate models that are also discussed in Chapter 13.

To monitor live forest carbon at broad scales, researchers in the US have developed an empirical approach that mixes field data, statistical modelling, remotely sensed time - series imagery and small - footprint lidar.

In looking at longer time scales, major shifts in climate such as the ice ages are easily recognizable, and viewing a long - term data set can provide the observer with a sense of the «big picture» of the climatic trends.

Just look at the data from those stations and you will see that there is no global warming on any time scale.

The research involves integrating information from materials and solar - module datasets measured at multiple length and time scales, including data from quantum simulations and real - world solar module performance.

My reason for asking is that some time ago I recall reading somewhere that data was being extracted from at least one Greenland ice core at times scales down to several per year; quantity and chemical composition of dust from Siberia was being analysed and interpreted.