Sentences with phrase «fits these trends per»

Following a trend blindly and adorning yourself with many different kinds of the same colour or pattern is a surefire way to be just off - mark with your fashion decisions, so sticking to one item that fits these trends per outfit is advisable.

Not exact matches

Finally, I see that the eyeball line of best fit through the model outputs on the 30 - year graph implies a trend of approximately 1.5 C degrees per century.

Using a well - constrained definition of Gulf Stream width, the linear least square fit yields a mean surface layer transport of 1.35 × 105 m2 s − 1 with a 0.13 % negative trend per year.

Per the chart of empirical evidence, the deceleration of global warming is evident from the fitted trend curve.

1) A 0.2 °C per decade global warming trend 2) Two «natural cycles» (cosine functions) both with 0.15 °C amplitude and periods of 10 and 20 years, respectively 3) Random noise with 0.07 °C amplitude 4) The sum of the warming trend, cycles, and noise 5) The sum fit with a step function with three steps: linear trends from 1950 to 1963, 1967 to 1986, and 1987 to 2003 (light blue) 6) The sum with a linear trend fit from 1950 to 2010.

Per both the 2nd order fitted trend (blue curve) and the 36 - month moving average (red curve), the deceleration of the global warming trend and a plateauing can easily be seen.

Additional chart info: the red - dotted curve is a basic 36 - month moving average; the green curve is 6th order fitted trend of monthly measurements; and the grey area represents the cumulative per cent growth of atmospheric CO2 levels.

The fit of a trend line to the time series of global - mean surface temperature (e.g., Figure 2.5) indicates a warming between 0.25 to 0.4 °C for this 20 - year period, or approximately 0.1 to 0.2 °C per decade, 6 depending upon which of the existing data sets is used to represent the surface temperatures, and exactly how the fitting is done.

Richard, for the last time, the trend in atmospheric CO2 levels since 1958 is not linear, it is slightly exponential with a lot of ups and downs, but no matter what curve you may use to fit the real trend, the increase rate per year doubled over the past 40 years.

But can you point to a half century at any time in the past millennium where fitting a trend line gives a slope (up or down) of anywhere near a degree per century (0.01 degrees per year or 0.1 degrees per decade)?

Indeed, the best fit to the current observed temperature trend since 1970 is for a climate sensitivity of 2.85 oC per doubling of CO2.

I do not need to believe whether the additional linear trend after 1942 is AGW or something else, by fitting the model in the way you have you can attempt to place a bound on the possible increase per century if that trend were interpreted in that way.

The highest trend was +4.7 deg C per century equivalent (projected from a linear fit, which is not optimum, but is easy to understand), the lowest was — 2.7 deg C per century equivalent.

(See monthly per century trends plotted without the smooth fitted curves.)

Notes: Excel was used to calculate and plot the moving sea level per century curves and fitted trends (Excel slope function produced trends based on moving 360 - month periods for each month in the dataset; then converted to per century trends (inches) for each month).

They show a linear trend (the fit isn't good) from 1966 - 2005 of an increase in Cat 4 - 5 events of 0.024 per year instead of 0.086 per year in the pre-reanalysis values.

In fact, you can get a very good fit with actual temperature by modeling them as three functions: A 63 - year sine wave, a 0.4 C per century long - term linear trend (e.g. recovery from the little ice age) and a new trend starting in 1945 of an additional 0.35 C, possibly from manmade CO2.

Following the trends of «bezel-less» smartphones, Amazon has enlarged the Kindle's screen and shrunken the bezels around it, making room for a larger 7 - inch display that fits more than 30 percent more words per page.

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