Sentences with phrase «different global temperature data»

When one compares the different global temperature data sets correctly, one result emerges more strongly than any other: that they agree.

Not exact matches

The range (due to different data sets) of global surface warming since 1979 is 0.16 °C to 0.18 °C per decade compared to 0.12 °C to 0.19 °C per decade for MSU estimates of tropospheric temperatures.

Each agency has slightly different methods of processing the data and different baseline periods they use for comparison, as do other groups around the world that monitor global temperatures, leading to slightly different year - to - year numbers.

The two agencies use slightly different methods of assembling the global temperature data, leading to the slightly varying numbers, though both datasets show the clear warming of the planet.

The global average temperature anomaly was adjusted by data managers [different groups followed differently and they don't match]-- earlier data adjusted downwards and current data upwards.

The Associated Press has put out an interesting interactive mapof climate change data, including the emission trends from countries in the northern hemisphere, graphs of the various indicators of global warming such as glacier melts and global temperatures, and the pledges that different countries have made when it comes to reducing greenhouse gas emissions.

Estimates of the global and annual mean temperature based on a number of different data sets, including both traditional analyses as well as re-analyses (also see the last 15 years).

Estimates of the global and annual mean temperature based on a number of different data sets, including both traditional analyses as well as re-analyses

«Another recent paper used a different NOAA ocean surface temperature data set to find that since 2003 the global average ocean surface temperature has been rising at a rate that is an order of magnitude smaller than the rate of increase reported in Karl's paper.»

The range (due to different data sets) of global surface warming since 1979 is 0.16 °C to 0.18 °C per decade compared to 0.12 °C to 0.19 °C per decade for MSU estimates of tropospheric temperatures.

US land - only temperature doesn't have a markedly different trend than global satellite data.

Scientists from NOAA, WHO, and the UK Met Office use much of the same raw temperature data, but with different baseline periods or slightly different methods to analyze Earth's polar regions and global temperatures.

Previous large natural oscillations are important to examine: however, 1) our data isn't as good with regards to external forcings or to historical temperatures, making attribution more difficult, 2) to the extent that we have solar and volcanic data, and paleoclimate temperature records, they are indeed fairly consistent with each other within their respective uncertainties, and 3) most mechanisms of internal variability would have different fingerprints: eg, shifting of warmth from the oceans to the atmosphere (but we see warming in both), or simultaneous warming of the troposphere and stratosphere, or shifts in global temperature associated with major ocean current shifts which for the most part haven't been seen.

The answer to this lies in how the different datasets deal with having little or no data in remote parts of the world, measurement errors, changes in instrumentation over time and other factors that make capturing global temperature a less - than - straightforward task.

«If you plot other data sets, you'll get slightly different results, but the same take - home message: there's nothing in recent global temperatures that disproves the importance of CO2 as an agent for climate change.»

Global temperature anomalies from January 1991 through December 2010 as contained in five different data compilations.

The Hockey Stick is an accurate reflection of historic global temperature — it is of course, but only if you splice together different time series, ignore inconvenient facts and cherry pick the data.

The use of different data temperature sets, whether it is global surface temperatures or satellite measurements, is one of the major points of contention in the climate debate.

Such an assessment should involve a detailed analysis of the sensitivity of global - mean temperatures derived from these three different measurement systems to the various choices made in the processing of the raw data — e.g., corrections for instrument changes, adjustments for orbital decay effects in the satellite measurements, and procedures for interpolating station data onto grids.

The announcement does not come as a surprise, considering the Japan Meteorological Agency announced that 2014 was the warmest year on record in its data set last week, even though each science center uses slightly different methods to analyze global temperatures.

«They» used different compilation methods to generate the different graphs of global temperature from the same available record of measurement data.

A third and very different data set is overseen by John Christy... «From 1997 - 2011 our data show a global temperature rise of 0.15 C,» he said.

The range (due to different data sets) of the global mean tropospheric temperature trend since 1979 is 0.12 °C to 0.19 °C per decade based on satellite - based estimates (Chapter 3) compared to a range of 0.16 °C to 0.18 °C per decade for the global surface warming.

When we look at the distributions (e.g. data, 1st difference, 2nd difference) of the observations of global temperature, and of modeled temperature, they are very different.

Yet a «global mean temperature» is calculated, and the difference between two such calculations from data sets from different years, is suppose to be accurate to the 0.00 level.

The amount of adjustments to global temperature data is odd shall we say, HADCRUt4 showing different (warmer) than HADCRUT3 for example.

Scientists are working their hardest to create the most accurate possible record of global temperatures, and use a number of methods including tests using synthetic data, side - by - side comparisons of different instruments, and analysis from multiple independent groups to ensure that their results are robust.

Further confidence in the models is provided by premise # 4, even though the agreement of different models and forcing datasets arises from the selection of forcing data sets and model parameters by inverse calculations designed to agree with the 20th century time series of global surface temperature anomalies.

One of the basic problems in reaching rational conclusions with regard to global climate change problems is that AGW proponents and skeptics largely use different data sources and very different analyses of the global temperature data to support their cases.