Sentences with phrase «linear trends for»

The data (green) are NASA GISS monthly global surface temperature anomaly data from January 1970 through December 2014, with linear trends for the short time periods Jan 1970 — Oct 1977, Apr 1977 — Dec 1986, Apr 1987 — Oct 1996, Aug 1997 — Dec 2002, Jan 2003 — Jun 2012, and Jul 2012 — Feb 2014 (blue), and also showing the far more reliable linear trend for the full time period (red).

The trend lines (grey colour) show the linear trends for the last 100 and 50 years.

Figure 3: Left: composite global linear trends for hiatus decades (red bars) and all other decades (green bars) for top of the atmosphere (TOA) net radiation (positive values denote net energy entering the system).

Regional linear trends for 14 ocean basins since 1970 show the fastest sea level rise for the Antarctica (4.1 ± 0.8 mm · yr − 1) and Arctic (3.6 ± 0.3 mm · yr − 1).

That would mean the ENSO - induced step increases in SST and TLT anomalies of the Mid-To-High Latitudes of the Northern Hemisphere caused the vast majority of the positive linear trends for the global SST and TLT anomaly datasets.

We have identified considerable interannual variability in the frequency of global hurricane landfalls; but within the resolution of the available data, our evidence does not support the presence of significant long - period global or individual basin linear trends for minor, major, or total hurricanes within the period (s) covered by the available quality data.

Note: UK's HadCRUT4 2014 satellite dataset used in Excel to calculate 10 - year absolute (i.e. arithmetic difference) temperature changes and linear trends for above charts.

http://www.skepticalscience.com/graphics.php?g=47 The data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4 monthly global surface temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red

Finally, for those interested in the linear trends for both charts, the U.S. February temperatures are cooling at a robust -15.2 °F per century pace; the UK February temps are no slacker as they are cooling at -7.2 °C per century rate.

I hate idiots that compute linear trends for nonlinear phenomenon.

Figure 2: The data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4 monthly global surface temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red).

If you only use linear trends for analysing the temperature record for Valentia Observatory, you might mistakenly conclude, «it shows a «warming trend», and it's rural, so even the rural stations show «unusual global warming»».

In our 2007 paper we found trends in the upper part of the TAR range (both GISS and Hadley give 0.22 ºC per decade linear trends for 1990 - 2006) and proposed that «the first candidate reason for this is intrinsic variability in the climate system».

It used simple linear trends for population and resources to project catastrophic projections.

The figure below shows these linear trends for the GISS data for each calendar month, for two data versions provided by GISS: unadjusted and «homogenised».

The data (green) are NASA GISS monthly global surface temperature anomaly data from January 1970 through December 2014, with linear trends for the short time periods Jan 1970 — Oct 1977, Apr 1977 — Dec 1986, Apr 1987 — Oct 1996, Aug 1997 — Dec 2002, Jan 2003 — Jun 2012, and Jul 2012 — Feb 2014 (blue), and also showing the far more reliable linear trend for the full time period (red).

Figure 2: The data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4 monthly global surface temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red).

The Pinatubo eruption would have affected the least squares linear trend for any of the previous 3 years (and before that).

(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).

Markus Rex graphs shows a linear trend for the increasing PSC volume, and the left y axis the POTENTIAL OZONE LOSS (not the measured one, am I right?)

After JANUARY 2005, they all show a cooling LINEAR trend for the land + ocean anomaly.

Calculating the linear trend for a data series is a relatively simple statistical procedure, and can even be carried out using standard spreadsheet packages, such as Microsoft Excel.

Linear trends are appropriate for the time period after 1990 where the data are described well by a linear trend plus interannual noise (that's why we show a linear trend for the satellite sea level in our paper), but they don't capture the longer - term climate evolution very well, e.g. the nearly flat temperatures up to 1980.

In addition, the linear trend for the HadCRUT4 gold - standard temperature dataset and NOAA's CO2 dataset are shown moving in opposite directions.

The linear trend for the entire period of 1912 — 1999 shows a temperature increase of about 1.2 oC.»

As indicated on the chart, the linear trend for temperatures means a tiny increase in global temperatures of a trivial +0.58 degrees by 2100AD, if this trend were to continue (it won't).

If we calculate the linear trend for the Good subset over the entire 1895 - 2011 period, we would get a net «warming» trend.

NASA / GISS has a linear trend for the same time period projecting an outcome of +1.3

NASA / GISS has a linear trend for the same time period projecting an outcome of +1.3 °C by 2100AD.

Wipneus linear trend for Sept. mininum volume shows 2018 at about 4.2 km3.

However, generating a linear trend for obviously non-linear data is, at the very least, ignorant.

Working back in time, the data point immediately before the last one represents the linear trend for the 153 - month period of December 2000 to August 2013, and the data point before it shows the trend in deg C per decade for November 2000 to July 2013, and so on.

His thus obtained linear trend for 1973 - 2012 is 0.145 C per decade.

Absent an exponential temperature rise signaling forcing synergies in progress, seeing a linear trend for five decades leads to deep discounting of models that need to get to a degree per decade in order to make 2100 as hot as some have claimed over the last half century.

In this paper, in contrast to a paper he co-authored published earlier last year (which I recently glanced at after downloading from a different website), Scafetta did not use a linear trend for the 1850 - 2000 period but used instead a quadratic trend.

I'm guessing the end result is a close to linear trend for each parameter.

I had explained in # 90 that I had used 1969 - 1988 (20 years data) simply because that was what Hargreaves had used, and back at # 83 gave a rationale for choosing a linear trend for a short - term forecast (and no trend for long - term forecast), but noted that since the time series is probably ARIMA, this would be the ultimate naive model (i.e. just using the time series data).

Two contributors forecast a September minimum below that of 2007 at 4.0 million square kilometers and 3 contributors suggest a return to the long term downward linear trend for September sea ice loss (5.5 to 5.6 million square kilometers).

An OLS linear trend for temperature is not one of those.

Not exact matches

By plotting reported Planned Parenthood contraception services (y - axis) and government funding (x-axis, in millions) for 2002 - 2009, [8] we see a linear trend line indicating a 1.38 million y - axis intersection.

Some may exaggerate that linear TV will die soon, the reality is we are still far from that, however we have to admit that things are trending that way and Over-The-Top platforms (OTT) would take - over for content distribution (e.g. Amazon, Netflix etc.) so we are shifting towards OTT and the idea is at some point we would have an Amazon Prime type platform for sport content.

However, the odds of diarrhoeal disease increased with the time since breast feeding cessation (pT = 0.002 for linear trend in all infants).

The results showed that vitamin B6 and B12 intake was not associated with EG / SEG risk in pooled analyses (P =.52 and P =.99 for linear trend, respectively).

(Bottom) Patterns of linear global temperature trends from 1979 to 2005 estimated at the surface (left), and for the troposphere (right) from the surface to about 10 km altitude, from satellite records.

To assess whether the decline was greater at older ages with the test for linear trend, we reran the analysis using the categories of age as a continuous variable.

MHW properties and annual time series and linear trends were calculated as for the NOAA OI SST data with the same 1983 — 2013 period used to define the baseline climatology and threshold.

Third, to fit global temperatures to CO2 over a period of 30 years and and use a linear trend to extrapolate for the next 50 years is asking for trouble.

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

An NAO - based linear model is therefore established to predict the NHT, which gives an excellent hindcast for NHT in 1971 - 2011 with the recent flat trend well predicted.

Based on the linear trend, for the 0 to 3,000 m layer for the period 1961 to 2003 there has been an increase of ocean heat content of approximately 14.2 ± 2.4 × 1022 J, corresponding to a global ocean volume mean temperature increase of 0.037 °C during this period.