Sentences with phrase «linear trend line of»

The r - squared of a linear trend line of this partial Sine wave is 0.88... 88 % of the data fit the trend line.

Both these Outlook projections are substantially lower and nearer to the observed September 2008 monthly average value than to the 1979 — 2000 mean value (7.1 million square kilometers) or to the linear trend line of previous September minima (5.6 million square kilometers).

Projections are aligned in the graph so that they start (in 1990 and 2000, respectively) on the linear trend line of the (adjusted) observational data.

Not exact matches

Why is the «volume cold enough for ozone loss» line so perfectly linear, and what sort of trend do the «ozone loss» dots show?

(C) Mean of all records transformed to summer temperature anomaly relative to the 1961 — 1990 reference period, with first - order linear trend for all records through 1900 (green line), the 400 - year - long Arctic - wide temperature index of Overpeck et al. (2)(blue curve; 10 - year means), and the 10 - year - mean Arctic temperature through 2008 (red line).

[Response: At the time (1988), there were no suggestions that climate should be following a linear trend (though if you know of some prediction along those lines from the 1980s, please let me know — the earliest I can find is from 1992, and the prediction was for 0.1 degC / dec).

The solid lines show the average July value for each year, whereas the dashed lines show the linear trend of these data for 1979 — 2009 (i.e., excluding the record 2010 value).

Why is the «volume cold enough for ozone loss» line so perfectly linear, and what sort of trend do the «ozone loss» dots show?

Clearly, the sea ice volume data plot is the single most important topic of discussion, yet in the article it is shown in Figure 1 with a poor vertical scale and amongst linear trend lines which mislead and make the curve appear to be linear and reach the zero point far out in the future.

I went to the trouble of fitting a linear trend line to the A2 model input line from 2002 - 2009 and obtained a correlation coefficient (R2) of 0.99967.

I've included the linear trend line to illustrate the effect the straight line has on the appearance of the data.

(c) The global mean (80 ° N to 80 ° S) radiative signature of upper - tropospheric moistening is given by monthly time series of combinations of satellite brightness temperature anomalies (°C), relative to the period 1982 to 2004, with the dashed line showing the linear trend of the key brightness temperature in °C per decade.

That is to say that there will be one EU - wide cap on the number of emission allowances and this cap will decrease annually along a linear trend line, which will continue beyond the end of the third trading period (2013 - 2020).

12 - month running averages are shown as well as linear trend lines, and compared to the scenarios of the IPCC (blue range and lines from the 2001 report, green from the 2007 report).

Fig. 3 Non-linear trend lines as shown in Fig. 1 (solid red and blue) as compared to the linear trends of the data for 1990 - 2008 (dashed red and blue).

It means the value of the 30 year linear trend line at the current month.)

The linear trend line is now at +1.06 °C, which is perhaps the best temperature to compare to paleoclimate temperatures, because the latter are «centennially - smoothed,» i.e., the proxy measures of ancient temperature typically have a resolution not better than 100 years.

In this figure, Nielsen - Gammon has added linear trend lines to each ENSO category, and he notes that they all correspond to warming trends of about 0.16 °C per decade.

This shows the HadCRUT3 temperature record since 1850 with linear trend lines, which all end in 2005, but which begin at different years, covering time periods of 150,100, 50 and 25 years.

Heck, the incidence of denialist - type posts is rising faster even than the eagerly - awaited and now - arrived new tranche of sea - levels, that now are pushing above linear trend - lines precisely as James Hansen's thermodynamic theories predicted would would be observed!

AK, that's the interesting thing... Girma isn't ``... imposing a linear trend on the data...», rather he is OBSERVING that the trend of temperature peaks and valleys IS A LINE.

If the DATA were falling off that extension of the linear trend line from 1975 to 1997, then that might be evidence that the warming was really slowing down.

For this article, a statistically - significant global warming means that the linear trend (slope of the trend line) is likely greater than zero with 95 % statistical confidence (i.e. the 95 % error bars do not include a possible 0.0 or negative temperature degree slope).

One of the «problems» with the way climate data are handled is in the obsession with applying linear trend lines to non-linear data.

The linear trends on the charts denote the continuing acceleration of 15 - year warming (red straight line) for the pre-1950 era, versus the decelerating trend of our current times (green straight line), as reported by NASA scientists.

Appending linear rises like this isn't a very useful thing to do; but I'm giving it here as another illustration that your intuitions about mathematics of trend lines are letting you both down.

Because of that El Nino bulge, the calculated trend will remain slight positive for quite a while (highlighting the problem of using linear trend lines on «event» driven data)

You need to look at tools for identifying a periodic (or quasiperiodic) signal on top of a base trend that is NOT linear; because there's a heck of a lot more going on with climate that you can capture on such scales with one line a sine wave.

The best fit linear trend lines (not shown) of the model mean and all datasets are set to zero at 1979, which is the first year of the satellite data.

A linear regression trend line with normal iid error gets to the heart of what Mandelbrot was questioning.

But a noised - based approach using the Lasso method often quite similar to or even reduces to simple linear interpolation — and given largely linear trends over an especially brief amount of time a noised - based largely interpolating method will «do well» in a way that is quite irrelevant — where the «best method» would simply be to connect the dots by means of a straight line.

A running mean merely smooths, it doesn't give a trend line, unlike linear regression, meaning least - squares fit of a straight line.

I'd say that the heavy dark blue straight line is the linear trend of the ten - year moving average line.

If I limited the test to forecasting the trend only and use the linear trend from 1969 — 1988 (0.15 per decade) as the null hypothesis to compare with Hansen's trend the skill of Hansen is — 1.76 i.e. just sticking a line through the last 20 years is much more skillful.

First, the fit of the dark - blue deseasonalized NOAA data to the underlying linear - regression trend line (light blue) is very much closer than it is even to the IPCC's least projection on scenario A2.