Sentences with phrase «data yielded trends»

A cooling trend is observed in the raw and USHCN V2 records for the past 12 years... In both the short and longer term cases the USHCN V2 adjusted data yielded trends that were roughly 1ºC per century higher than those found in the raw temperature records.»

Not exact matches

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The yield curve, which normally slopes upward, has extended its tightening trend as lackluster economic data have pushed down long - dated yields even as senior Fed officials» backing for a gradual - but - sustained hiking trajectory have lifted long - dated yields.
Our model indicates that going forward, long - term yields will likely be subject to three upward pressures: (1) Our forecasted increase in inflation will boost nominal GDP growth; (2) As forward guidance is replaced by a data - dependent monetary tightening, volatility in short rates will increase; and (3) As the impact of QE on the Treasury market fades, long - term yields will trend back to their historical link with nominal GDP growth.
Although computer models of archaeological sites are ideal software tools for managing spatially referenced data and commonly used to yield insights which contribute to the protection of heritage materials, some scientists question their credibility, calling for these long - term trends be «ground truthed» in order to ensure that calculated rates of change reflect observed phenomena «in the field».
Other, more stable data sets, such as satellite, radiosonde and ocean temperatures yield smaller warming trends.
Computing technologies like data analytics determine trends, patterns and associations between different data to yield meaningful information.
With bond yields trending higher, on days when market - moving economic data is released, bond investors react and the yield curve adjusts, helping to dampen the impact on risk - sensitive assets.
The price action is being driven by rising U.S. Treasury yields, a slew of U.S. economic data and new earnings results.Daily June E-mini S&P 500 IndexDaily Swing Chart Technical AnalysisThe main trend is up
Which yields a better fit to the data (i.e., R ^ 2) a linear trend or a non-linear trend?
From the perspective proposed in this post, that Mennian slicing methods applied to GHCN data yield a slightly warmer trend than CRU and NOAA using unsliced data should not be viewed as an unexpected result.
The trend line exceeds the 5 - year average of the data, which shows the trend has slowed — see http://www.woodfortrees.org/plot/hadcrut4gl/from:1970/plot/hadcrut4gl/from:1970/to:2001/trend/plot/hadcrut4gl/from:1970/trend/plot/hadcrut4gl/from:1970/mean:60 Calculating the trend from the average data yields: 1972.5 to 1997.0: 0.017 C / year 1997.0 to 2010.08: 0.008 C / year
I suspect that other conventional global temperature data sets, when controlled for ENSO in a similar way, will yield a similarly significant recent temperature trend.
Other, more stable data sets, such as satellite, radiosonde and ocean temperatures yield smaller warming trends.
The ISPM also states: «Adjusting T2 data to remove an estimated contribution from the stratosphere yields tropospheric trend coefficients ranging from about 0.12 oC to 0.19 oC per decade, depending on the method.»
If you refer to Section 3.7.4 you will see that it is not just Church & White that are being cited and that in Fig 3.14 Church & White data yields the lowest SLR through this 1920 - 50 period, hitting a momentary peak of just 2.3 mm / yr from 18 - year lnear trend calculations.
These guys (e.g. Lobell) try to explain the level and trend of crop yields (often on a grid scale covering the globe, given you have sufficient data) using statistical models that include all kinds of independent variables (soils, input use, varieties, pressure by pests, management etc.).
This adjustment of tide gauge data to yield a rising sea level trend where none exists is not occasional or episodic.
While a recent report tells us current droughts in the western USA hardly make the top ten, we have this from Stanford University, a claim about drought related crop insurance claims that doesn't seem to match data on national yields and trend.
Statistically significant trends obtained from records longer than 40 years yielded sea - level - rise estimates between 1.06 — 1.75 mm / yrear - 1, with a regional average of 1.29 mm yr - 1, when corrected for global isostatic adjustment (GIA) using model data, with a regional average of 1.29 mm - 1..
It is visually apparent in Fig. 4B that removing the oscillatory AMO from the raw data organizes the data points into a monotonic band and yields a more stable linear trend, converging to the 50 - y trend of 0.08 °C / decade.
Maybe we should just throw out all the temperature data, because it is yielding trends much lower than the models calculate.
The data record that NCDC currently provides, GHCNv3, initiated in 2011, yields a slightly larger global warming trend (0.75 °C for 1900 — 2010, while GHCNv2 yields 0.72 °C), but the changes are too small to affect the conclusions of our present study.
One would think that the two sources of data would yield quite similar trends and have important similarities since they attempt to measure air temperatures so close to each other.
Interpret data on price, yield, stability, future investment - risk trends, economic influences, and other factors affecting investment programs.
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