Sentences with phrase «reliable global temperature data»

Not exact matches

But rather than using the baselines those agencies employ, Climate Central compared 2016's temperature anomalies to an 1881 - 1910 average temperature baseline, the earliest date for which global temperature data are considered reliable.

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 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).

It appears that Ghil, and others specifically warn against the use of MEM and temperature data: «Instrumental temperature data over the last few centuries do not seem, for instance, to determine sufficiently well the behavior of global or local temperatures to permit a reliable climate forecast on the decadal timescale by this SSA - MEM method.»

Prior to 1979 there was no means of obtaining a reliable global average temperature yet you insist on an accuracy that your initial data can not come close to supporting.

The most reliable sets of global temperature data we have, using satellite microwave sounding units, show no appreciable temperature increases during the critical period 1978 - 1997, just when the surface station data show a pronounced rise.

But linear regression is known to give the best possible unbiased estimate of its parameters for any linear function of the data — if a regression can not give a reliable enough estimate of the global average temperature, it seems inevitable that the current method must be worse.

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).

C: increase in atmospheric CO2 from pre-industrial to present is anthropogenic (D / A) S: best guess for likely climate sensitivity (NUM) s: 2 - sigma range of S (NUM) a: ocean acidification will be a problem (D / A) L: expected sea level rise by 2100 in cm (all contributions)(NUM) B: climate change will be beneficial (D / A) R: CO2 emissions need to be reduced drastically by 2050 (D / A) T: technical advances will take care of any problems (D / A) r: the 20th century global temperature record is reliable (D / A) H: over the last 1000 years global temperature was hockey stick shaped (D / A) D: data has been intentionally distorted by scientist to support the idea of anthropogenic climate change (D / A) g: the CRU - mails are important for the science (D / A) G: the CRU - mails are important otherwise (D / A)

F. «Global temperature» projections of unverified «climate models,» which involve hypothetical forecasts of, not evidence of, global warming, have increasingly diverged from the most reliable temperature records computed from the data collected by U.S. satelGlobal temperature» projections of unverified «climate models,» which involve hypothetical forecasts of, not evidence of, global warming, have increasingly diverged from the most reliable temperature records computed from the data collected by U.S. satelglobal warming, have increasingly diverged from the most reliable temperature records computed from the data collected by U.S. satellites.

Deriving a reliable global temperature from the instrument data is not easy because the instruments are not evenly distributed across the planet, the hardware and observing locations have changed over the years, and there has been extensive land use change (such as urbanization) around some of the sites.

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

Where admitted very poor and very dodgy data from ships buckets and engine inlets is used to adjust reliable ocean buoy data upwards and then the adjusted data is promoted as the new global temperature data.

If we look at reliable temperature data from Hadcrut 3 or 4 without muddling them together with all manner of shenanigans then the data shows us that mean global temperatures have not continued unabated.

There are several factors that are important in monitoring global or U.S. temperature: quality of raw observations, length of record of observations, and the analysis methods used to transform raw data into reliable climate data records by removing existing biases from the data.

As just one example; «How we can know an average global sea surface temperature back to 1850 when so much of the world was unexplored let alone its oceans measured» should be just one example that should make scientists question whether the models they build are actually using reliable data, or whether they think they already know the answer and therefore just use data that supports it, no matter its doubtful provenance.

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 measurement of global temperatures from space is a relatively new art, and the scientists who compile the data set have been through a number of iterations to their model for rolling the measurements into a reliable global temperature (Christy just released version 6).

After all, the early (pre-instrumental) data are much less > reliable as indicators of global temperature than is apparent in modern > calibrations that include them and when we don't know the precise role of > particular proxies in the earlier portions of reconstruction it remains > problematic to assign genuine confidence limits at multidecadal and longer > timescales.