Sentences with phrase «surface temperature trend estimate»

Dr Curry, the mean model surface temperature trend estimate is ~ 0.20 C / decade compared to Cowtan and Way ~ +0.17 C or GISS ~ +0.16 C (both attempting improved Arctic representation).

The government dataset, called the National Oceanic and Atmospheric Administration's Extended Reconstructed Sea Surface Temperature version 4, increased the sea surface temperature trend estimate over the last 18 years from 0.07 ° Celsius per decade to 0.12 ° Celsius per decade, partly because of adjustments for different types of measuring instruments.

Liebmann, B., R. M. Dole, C. Jones, I. Bladé, and D. Allured, 2010: Influence of choice of time period on global surface temperature trend estimates.

Not exact matches

(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.

Global mean surface temperatures have risen by 0.74 °C ± 0.18 °C when estimated by a linear trend over the last 100 years (1906 — 2005).

[Response: The study quoted uses the difference between the weather models and the mostly independent surface temperature record to estimate a residual trend.

Since the mid 1970's, global estimates of the potential destructiveness of hurricanes show an upward trend strongly correlated with increasing tropical sea - surface temperature.

Back in 2008, a cottage industry sprang up to assess what impact the Thompson et al related changes would make on the surface air temperature anomalies and trends — with estimates ranging from complete abandonment of the main IPCC finding on attribution to, well, not very much.

These results suggest that sea surface temperature pattern - induced low cloud anomalies could have contributed to the period of reduced warming between 1998 and 2013, and offer a physical explanation of why climate sensitivities estimated from recently observed trends are probably biased low 4.

For this reason, a number of researchers have suggested that it should be possible to estimate the long term Sea Surface Temperature trends for a given area by averaging together all the available measurements from different voyages that went through that area in a given month.

Indeed, many of the groups using weather station records for estimating global temperature trends, also combine their estimates with the sea surface temperature records to construct «land - and - sea» global temperature estimates.

To appreciate the issues involved in comparing estimates of surface and lower tropospheric temperature trends, it is necessary to have at least a rudimentary understanding of these three kinds of measurements and the uncertainties inherent in each of them.

Surface warming / ocean warming: «A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets» «Estimating changes in global temperature since the pre-industrial period» «Possible artifacts of data biases in the recent global surface warming hiatus» «Assessing the impact of satellite - based observations in sea surface temperature trendsSurface warming / ocean warming: «A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets» «Estimating changes in global temperature since the pre-industrial period» «Possible artifacts of data biases in the recent global surface warming hiatus» «Assessing the impact of satellite - based observations in sea surface temperature trendssurface climatological datasets» «Estimating changes in global temperature since the pre-industrial period» «Possible artifacts of data biases in the recent global surface warming hiatus» «Assessing the impact of satellite - based observations in sea surface temperature trendssurface warming hiatus» «Assessing the impact of satellite - based observations in sea surface temperature trendssurface temperature trends»

«Estimating changes in global temperature since the pre-industrial period» «A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets» «Deducing Multidecadal Anthropogenic Global Warming Trends Using Multiple Regression Analysis» «Early onset of industrial - era warming across the oceans and continents»

MM04 failed to acknowledge other independent data supporting the instrumental thermometer - based land surface temperature observations, such as satellite - derived temperature trend estimates over land areas in the Northern Hemisphere (Intergovernmental Intergovernmental Panel on Climate Change, Third Assessment Report, Chapter 2, Box 2.1, p. 106) that can not conceivably be subject to the non-climatic sources of bias considered by them.

These estimates were cited in the IPCC 4AR, and compared to surface temperature trends ranging from 0.15 to 0.18 °C per decade.

Uncertainties of estimated trends in global - and regional - average sea - surface temperature due to bias adjustments since the Second World War are found to be larger than uncertainties arising from the choice of analysis technique, indicating that this is an important source of uncertainty in analyses of historical sea - surface temperatures.

The analysis shows that the leading contributor to variations in surface temperature over the 20th century is a largely systematic upward trend in most locations that appears to be consistent with estimates of the effects of increasing greenhouse gas concentrations.

Detection / attribution assessments, using General Circulation Models (GCMs) or Energy Balance Models (EBMs) with geographical distributions of surface temperature trends, suggest that the solar influence on climate is greater than would be anticipated from radiative forcing estimates.

(3) Current estimates of surface and lower to mid-tropospheric temperature trends are subject to a level of uncertainty that is almost as large as the apparent disparity between them.

The experts said there was no reliable way to make estimates for surface - temperature trends in the first millennium A.D.

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.

We estimate that the ACRIM upward trend might have minimally contributed ∼ 10 — 30 % of the global surface temperature warming over the period 1980 — 2002.

However, ~ 80 % of the total warming involved occurred after 1979, and as noted earlier since 1979 the trend in HadCRUT4v4 matches that in the (adjusted) ERA - interim dataset, which estimates purely surface air temperature, not a blend with SST, and has complete coverage.

Between 801 and 1800 ce, the surface cooling trend is qualitatively consistent with an independent synthesis of terrestrial temperature reconstructions, and with a sea surface temperature composite derived from an ensemble of climate model simulations using best estimates of past external radiative forcings.

In summary, your argument pointing to the lacking statistical significance of the temperature trend estimate for a time period is not sufficient empirical / statistical evidence or scientific justification for the claim that there was a «pause» of global surface / troposphere warming.

Trends are estimated over time periods, and depending on what the chosen length of the time period is, the trend estimates for the surface / troposphere temperature and their statistical significance will vary.

On the time - varying trend in global - mean surface temperature ``... we showed that the rapidity of the warming in the late twentieth century was a result of concurrence of a secular warming trend and the warming phase of a multidecadal (~ 65 - year period) oscillatory variation and we estimated the contribution of the former to be about 0.08 deg C per decade since ~ 1980.»

I believe this gives an accurate estimate of surface temperature trends which most closely resembles the normal GISS LOTI.

The article also incorrectly equates instrumental surface temperature data that Jones and CRU have assembled to estimate the modern surface temperature trends with paleoclimate data used to estimate temperatures in past centuries, falsely asserting that the former «has been used to produce the «hockey stick graph»».

The space - time structure of natural climate variability needed to determine the optimal fingerprint pattern and the resultant signal - to - noise ratio of the detection variable is estimated from several multi-century control simulations with different CGCMs and from instrumental data over the last 136 y. Applying the combined greenhouse gas - plus - aerosol fingerprint in the same way as the greenhouse gas only fingerprint in a previous work, the recent 30 - y trends (1966 — 1995) of annual mean near surface temperature are again found to represent a significant climate change at the 97.5 % confidence level.