Sentences with phrase «global monthly mean temperature»

October 2015 marks the sixth month in a row that the global monthly mean temperature has been broken.

Not exact matches

This figure from the McLean et al (2009) research shows that mean monthly global temperature (MSU GTTA) corresponds in general terms with the Southern Oscillation Index (SOI) of seven months earlier.

A similar conclusion was drawn from a similar analysis applied to a (spatially sparse) global network of monthly mean temperatures, where the effect of spatial dependencies for inter-annual and inter-decadal variations could be ruled out (Benestad, 2004).

The latest record for global and annual mean was set 1998, but it may also be slightly different when looking at local temperatures and on a monthly basis.

This means, monthly global temperatures have not fallen below average for...

This February's sea surface temperatures were 1.46 degrees above average, which means the past nine months have been the nine highest monthly global ocean temperature departures on record.

(c) The global mean (80 ° N to 80 ° S) radiative signature of upper - tropospheric moistening is given by monthly time series of combinations of satellite brightness temperature anomalies (°C), relative to the period 1982 to 2004, with the dashed line showing the linear trend of the key brightness temperature in °C per decade.

In reconstructing the changes in global mean temperature since 1850, Berkeley Earth has examined 16 million monthly average temperature observations from 43,000 weather stations.

When scientists in the 1960s - 70s compiled data to build their global average temperature series they used state averages of monthly mean temperatures from weather stations around the world.

The source of the monthly mean station temperatures for the GISS analysis is the Global Historical Climatology Network (GHCN) of Peterson and Vose [1997] and updates, available electronically, from the National Climatic Data Center (NCDC).

Monthly averages of global mean surface temperature (GMST) include natural variability, and they are influenced by the differing heat capacities of the oceans and land masses.

Our study suggests that these patterns may also exist in deseasonalized monthly means of the measured temperature record in the post industrial era, a period that is normally associated with global warming and climate change.

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to March 2018.

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to April 2018.

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to February 2018.

The March 2010 global mean temperature was affected by about 2/100 of a degree Celsius, well below the margin of error (about 15/100 of a degree for monthly global means).

Note: Excel used to calculate the 3 - year absolute temperature and CO2 level averages; also used to calculate the moving 36 - month and 360 - month per century acceleration / deceleration trends (Excel slope function) as depicted on chart; the absolute temps calculated using the HadCRUT4 month anomalies and NOAA's monthly global mean temperature estimates; and, the 3 - year average beginning value for CO2 was offset to a zero starting place.

Theclimatebet.comtracks monthly data on global mean temperatures to show how our bet would have fared had Mr Gore been willing to bet the IPCC «business as usual» scenario against my bet on «no trend.»

Figure 18 - A Monthly values of cloud coverage over 15 ° S - 15 ° N and mean global surface temperatures from December 1983 to December 2009 (Ole Humlum www.climate4you.com)

Figure 2: Lean and Rind reconstructions of the contributions to monthly mean global surface temperatures by individual natural and anthropogenic influences.

Global mean cloud properties averaged over the period 1986 - 1993 are: cloud amount = 0.675 ± 0.012, cloud top temperature = 261.5 ± 2.8 K, and cloud optical thickness = 3.7 ± 0.3, where the plus - minus values are the rms deviations of global monthly mean values from their long - term avGlobal mean cloud properties averaged over the period 1986 - 1993 are: cloud amount = 0.675 ± 0.012, cloud top temperature = 261.5 ± 2.8 K, and cloud optical thickness = 3.7 ± 0.3, where the plus - minus values are the rms deviations of global monthly mean values from their long - term avglobal monthly mean values from their long - term average.

Global surface and lower troposphere monthly mean anomalies relative to the 1979 - 1998 mean temperature.

The UAH team pioneered the approach in 1979, combining temperature measurements from multiple satellites to produce an estimate for monthly global mean temperatures.

Image to right — Looking at Average Monthly Global Temperatures: This is a global map of unusual (anomaly) monthly - mean surface temperatures for the year 2004 relative to the 1951 - 1980 baMonthly Global Temperatures: This is a global map of unusual (anomaly) monthly - mean surface temperatures for the year 2004 relative to the 1951 - 1980 basGlobal Temperatures: This is a global map of unusual (anomaly) monthly - mean surface temperatures for the year 2004 relative to the 1951 - 19Temperatures: This is a global map of unusual (anomaly) monthly - mean surface temperatures for the year 2004 relative to the 1951 - 1980 basglobal map of unusual (anomaly) monthly - mean surface temperatures for the year 2004 relative to the 1951 - 1980 bamonthly - mean surface temperatures for the year 2004 relative to the 1951 - 19temperatures for the year 2004 relative to the 1951 - 1980 baseline.

The least - squares linear - regression trend on the RSS satellite monthly global mean surface temperature anomaly dataset continues to show no global warming for 18 years 9 months since February 1997, though one - third of all anthropogenic forcings have occurred during the period of the Pause.

Global average temperature The mean surface temperature of the Earth measured from three main sources: satellites, monthly readings from a network of over 3,000 surface temperature observation stations and sea surface temperature measurements taken mainly from the fleet of merchant ships, naval ships and data buoys.

GISS relies on data collected by other organizations, specifically, NOAA / NCEI's Global Historical Climatology Network (GHCN) v3 adjusted monthly mean data as augmented by Antarctic data collated by UK Scientific Committee on Antarctic Research (SCAR) and also NOAA / NCEI's Extended Reconstructed Sea Surface Temperature (ERSST) v5 data.

The monthly global surface temperature data are from NCDC, NOAA: http://www.ncdc.noaa.gov/oa/climate/research/anomalies/index.html; the global mean sea level data are from AVISO satellite altimetry data: http://www.aviso.oceanobs.com/en/news/ocean-indicators/mean-sea-level/; and the CO2 at Mauna Loa data are from NOAA http://www.esrl.noaa.gov/gmd/ccgg/trends/

Effective May 2, 2011, the Global Historical Climatology Network - Monthly (GHCN - M) version 3 dataset of monthly mean temperature has replaced GHCN - M version 2 as the dataset for operational climate monitoring actiMonthly (GHCN - M) version 3 dataset of monthly mean temperature has replaced GHCN - M version 2 as the dataset for operational climate monitoring actimonthly mean temperature has replaced GHCN - M version 2 as the dataset for operational climate monitoring activities.