Sentences with phrase «calculating no trend between»

In calculating no trend between «windy» and «calm» days (with wind data obtained from NCEP / NCAR Reanalysis), Parker (2006), in effect, states that there is no modulation to speak of — in and of itself, that is a remarkable statement, or else there is no UHI to speak of.

Not exact matches

Calculate gross trend momentum factor return as the difference in average (equal - weighted) actual returns between quintiles / deciles with the highest and lowest expected returns.

Calculating an overall trend in climate - related deaths is difficult due to the irregularity of severe storms, Boersma says, though the link between extreme weather and chick death demonstrates that as extreme weather increases in coming years, chick death will increase in turn.

I am very cuious if you found a variance between Upper Air and Surface warming... I calculated total amospheric refraction temperatures, ie from data extracted by analyzing optical effects, some of my results show an impressive yearly warming trend, much stronger than the surface based one.

These five ozone metrics are calculated for all urban and non-urban ozone monitoring stations (section 4.2) available in the TOAR database, as present - day averages for 2010 — 2014 (section 5), as well as trends between 2000 — 2014 (section 6).

Given these trends, we decided to revisit the issue of teacher diversity, and we calculated again our groundbreaking «Teacher Diversity Index,» an approach we pioneered in our first paper that ranks states on the percentage - point difference between teachers of color and students of color.

-- I calculated potential intensity trends over the period 1980 - 2012 & The disparity between the reanalysis potential intensity trends over the past 30 years and the projected trends over this century suggests either that most of the observed increase in potential intensity (and actual intensity of high category storms) is due to natural variability,....»

I am very cuious if you found a variance between Upper Air and Surface warming... I calculated total amospheric refraction temperatures, ie from data extracted by analyzing optical effects, some of my results show an impressive yearly warming trend, much stronger than the surface based one.

«We have examined trends in ocean mass calculated from 6 yr of GRACE data and found differences of up to 1 mm yr − 1 between estimates derived from different GRACE processing centre solutions.

For purposes of the scenario, the hypothetical calculated trend line for those seven consecutive peak years is chosen to run at +0.03 per decade starting from 1998, thus producing the «seven consecutive hottest peak years on record» between 1998 and 2028.»

Some — instead of calculating the trend — simply draw a line between these two years *, and for unapparent ** reasons that is not just opportunistic climate skeptics, but also real climate scientists with a funny definition of decades.

That graph doesn't show your extrapolated trend thus it doesn't show the disparity between the extrapolated and calculated trend.

Basically, I calculated the temperature trend for each gridbox between 60N and 60S, averaged the longitudinal values, and plotted a scaled image by latitude and depth.

The difference between this and the NSIDC September average extent is calculated and estimated with a linear trend.

The research looked at growth trends in the aviation industry and calculated that emissions from the sector would rise rapidly between now and 2050, assuming these trends continued.

Obviously, neither the difference between two maxima nor the calculated regression during an arbitrarily selected period is an acceptable measure of trend either.

«Calculating the annual average temperature of the 119 temperature gauges in Nepal located at elevations on between 72 m and 4100 m, reveals an upward trend in values from 1961 — 1996 at a rate of almost 7C per 100 years (or 0.07 C / year)»

It doesn't really change much from trends calculated for SAT in the 1910 to 1945 period; the numbers to 2 significant digits are between 0.15 and 0.14 C / decade.

These were used for comparing troposphere and surface trends in the CCSP report that is a reference point for both Douglass and Santer, as shown in their Table 1 below...... As a first exercise, I calculated the lapse rate trend between these three surface indices (collated into TRP averages) and RSS T2LT (and T2, as well as corresponding UAH results.)

The ~ 0.14 C / decade trend difference between the well and poorly sited stations is significant as well: Our chance of obtaining the same results by random chance is calculated by J - NG, using Monte Carlo methodic, at 0.00000.

But I do know the difference between a simple linear interpolation and principal component analysis, and I can calculate the two standard deviations range of uncertainty on a white noise linear trend.

It is also evident that natural variations added to warming between 1976 and 1998 — even if you simply remove the ENSO end states from the record and then calculate trend.

These are both defendable choices, but when calculating global mean anomalies in a situation where the Arctic is warming up rapidly, there is an obvious offset between the two records (and indeed GISTEMP has been trending higher).

This can be seen at: The formula used was: dCair = 0.5415 * F (emissions) / 0.21 + 3 * dtemp This resulted in a mean difference of trends (observed - calculated) = 0.00; correlation between the series = 0.65; R ^ 2 = 0.42 (which is poor); stdev of the calculated and observed series = 0.55 ppmv It looks like that the calculated CO2 increase / variations are leading the observed ones.

By lagging the CO2 result from temperature changes one year, the calculated variation was lagging the observed: The same coefficients were used, no difference in trends and stdev, correlation between the series = 0.732; R ^ 2 = 0.536 (which is fair).

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