Tag Archives: Dr Roy Spencer

Data Watch: UAH Global Mean Temperature November 2013 Release

On December 3rd, Dr Roy Spencer released the University of Alabama-Huntsville (UAH) global average lower tropospheric temperature anomaly as measured by satellite for November 2013.

The anomaly refers to the difference between the current temperature reading and the average reading for the period 1981 to 2010 as per satellite readings.

November 2013: Anomaly +0.19 degrees Celsius

This is the joint 8th warmest November temperature recorded since the satellite record was started in December 1978 (34 November observations). The warmest November to date over this period was November 2009, with an anomaly of +0.39 degrees Celsius.

As background, five major global temperature time series are collated: three land-based and two satellite-based. The most high profile satellite-based series is put together by UAH and covers the period from December 1978 to the present. Like all these time series, the data is presented as an anomaly (difference) from the average, with the average in this case being the 30-year period from 1981 to 2010. UAH data is the earliest to be released each month.

The official link to the data at UAH can be found here, but most months we get a sneak preview of the release via the climatologist Dr Roy Spencer at his blog.

Spencer, and his colleague John Christy at UAH, are noted climate skeptics. They are also highly qualified climate scientists, who believe that natural climate variability accounts for most of recent warming. If they are correct, then we should see some flattening or even reversal of the upward trend within the UAH temperature time series over a long time period. To date, we haven’t (click for larger image).

UAH Satellite-Based Temperature November 2013 jpeg

That said, we also haven’t seen an exponential increase in temperature either, which would be required for us to reach the more pessimistic temperature projections for end of century. However, the data series is currently too short to rule out such rises in the future.

One of the initial reasons for publicising this satellite-based data series was due to concerns over the accuracy of terrestrial-based measurements (worries over the urban heat island effect and other factors). The satellite data series have now been going long enough to compare the output directly with the surface-based measurements. All the time series are now accepted as telling the same story (for a fuller mathematical treatment of this, see Tamino’s post at the Open Mind blog here).

Note that the anomalies produced by different organisations are not directly comparable since they have different base periods. Accordingly, to compare them directly, you need to normalise each one by adjusting them to a common base period.

Data Watch: UAH Global Mean Temperature October 2013 Release

On November 12, Dr Roy Spencer released the University of Alabama-Huntsville (UAH) global average lower tropospheric temperature anomaly as measured by satellite for October 2013.

The anomaly refers to the difference between the current temperature reading and the average reading for the period 1981 to 2010 as per satellite readings.

October 2013: Anomaly +0.29 degrees Celsius

This is the joint 4th warmest October temperature recorded since the satellite record was started in December 1978 (34 May observations). The warmest October to date over this period was last year, with an anomaly of +0.37 degrees Celsius.

As background, five major global temperature time series are collated: three land-based and two satellite-based. The most high profile satellite-based series is put together by UAH and covers the period from December 1978 to the present. Like all these time series, the data is presented as an anomaly (difference) from the average, with the average in this case being the 30-year period from 1981 to 2010. UAH data is the earliest to be released each month.

The official link to the data at UAH can be found here, but most months we get a sneak preview of the release via the climatologist Dr Roy Spencer at his blog.

Spencer, and his colleague John Christy at UAH, are noted climate skeptics. They are also highly qualified climate scientists, who believe that natural climate variability accounts for most of recent warming. If they are correct, then we should see some flattening or even reversal of the upward trend within the UAH temperature time series over a long time period. To date, we haven’t (click for larger image).

UAH Global Satellite Data jpeg

That said, we also haven’t seen an exponential increase in temperature, which would be required for us to reach the more pessimistic temperature projections for end of century. However, the data series is currently too short to rule out such rises in the future.

One of the initial reasons for publicising this satellite-based data series was due to concerns over the accuracy of terrestrial-based measurements (worries over the urban heat island effect and other factors). The satellite data series have now been going long enough to compare the output directly with the surface-based measurements. All the time series are now accepted as telling the same story (for a fuller mathematical treatment of this, see Tamino’s post at the Open Mind blog here).

Note that the anomalies produced by different organisations are not directly comparable since they have different base periods. Accordingly, to compare them directly, you need to normalise each one by adjusting them to a common base period.

Data Watch: UAH Global Mean Temperature September 2013 Release

Dr Roy Spencer was quick off the mark this month, releasing the University of Alabama-Huntsville (UAH) global average lower tropospheric temperature anomaly for September 2013 on October 3rd.

The anomaly refers to the difference between the current temperature reading and the average reading for the period 1981 to 2010 as per satellite readings.

September 2013: Anomaly +0.37 degrees Celsius

This is the joint 3rd warmest September temperature recorded since the satellite record was started in December 1978 (34 May observations). The warmest September to date over this period was in 2010, with an anomaly of +0.45 degrees Celsius.

As background, five major global temperature time series are collated: three land-based and two satellite-based. The most high profile satellite-based series is put together by UAH and covers the period from December 1978 to the present. Like all these time series, the data is presented as an anomaly (difference) from the average, with the average in this case being the 30-year period from 1981 to 2010. UAH data is the earliest to be released each month.

The official link to the data at UAH can be found here, but most months we get a sneak preview of the release via the climatologist Dr Roy Spencer at his blog.

Spencer, and his colleague John Christy at UAH, are noted climate skeptics. They are also highly qualified climate scientists, who believe that natural climate variability accounts for most of recent warming. If they are correct, then we should see some flattening or even reversal of the upward trend within the UAH temperature time series. To date, we haven’t (click for larger image).

UAH Sep 13 Global Mean Temp jpeg

That said, we also haven’t seen an exponential increase in temperature, which would be required for us to reach the more pessimistic temperature projections for end of century. However, the data series is currently too short to rule out such rises in the future.

One of the initial reasons for publicising this satellite-based data series was due to concerns over the accuracy of terrestrial-based measurements (worries over the urban heat island effect and other factors). The satellite data series have now been going long enough to compare the output directly with the surface-based measurements. All the time series are now accepted as telling the same story (for a fuller mathematical treatment of this, see Tamino’s post at the Open Mind blog here).

Note that the anomalies produced by different organisations are not directly comparable since they have different base periods. Accordingly, to compare them directly, you need to normalise each one by adjusting them to a common base period.

Data Watch: UAH Global Mean Temperature August 2013 Release

On September 10th, Dr Roy Spencer released the University of Alabama-Huntsville (UAH) global average lower tropospheric temperature anomaly for August 2013 on September 10th.

The anomaly refers to the difference between the current temperature reading and the average reading for the period 1981 to 2010 as per satellite readings.

August 2013: Anomaly +0.16 degrees Celsius

This is the 11th warmest August temperature recorded since the satellite record was started in December 1978 (34 May observations). The warmest August to date over this period was in 1998 (1998 being the super El Niño year), with an anomaly of +0.44 degrees Celsius.

As background, five major global temperature time series are collated: three land-based and two satellite-based. The most high profile satellite-based series is put together by UAH and covers the period from December 1978 to the present. Like all these time series, the data is presented as an anomaly (difference) from the average, with the average in this case being the 30-year period from 1981 to 2010. UAH data is the earliest to be released each month.

The official link to the data at UAH can be found here, but most months we get a sneak preview of the release via the climatologist Dr Roy Spencer at his blog.

Spencer, and his colleague John Christy at UAH, are noted climate skeptics. They are also highly qualified climate scientists, who believe that natural climate variability accounts for most of recent warming. If they are correct, then we should see some flattening or even reversal of the upward trend within the UAH temperature time series. To date, we haven’t (click for larger image).

That said, we also haven’t seen an exponential increase in temperature, which would be required for us to reach the more pessimistic temperature projections for end of century. However, the data series is currently too short to rule out such rises in the future.

UAH August 2013 Global Mean Temp jpeg

One of the initial reasons for publicising this satellite-based data series was due to concerns over the accuracy of terrestrial-based measurements (worries over the urban heat island effect and other factors). The satellite data series have now been going long enough to compare the output directly with the surface-based measurements. All the time series are now accepted as telling the same story (for a fuller mathematical treatment of this, see Tamino’s post at the Open Mind blog here).

Note that the anomalies produced by different organisations are not directly comparable since they have different base periods. Accordingly, to compare them directly, you need to normalise each one by adjusting them to a common base period.

Data Watch: UAH Global Mean Temperature July 2013 Release

Dr Roy Spencer has been very fast out the block this month, releasing the University of Alabama-Huntsville (UAH) global average lower tropospheric temperature anomaly for July 2013 on August 2nd.

The anomaly refers to the difference between the current temperature reading and the average reading for the period 1981 to 2010 as per satellite readings.

July 2013: Anomaly +0.17 degrees Celsius

This is the 9th warmest July temperature recorded since the satellite record was started in December 1978 (34 May observations). The warmest July to date over this period was July 1998 (1998 being the super El Niño year), with an anomaly of +0.44 degrees Celsius.

As background, five major global temperature time series are collated: three land-based and two satellite-based. The most high profile satellite-based series is put together by UAH and covers the period from December 1978 to the present. Like all these time series, the data is presented as an anomaly (difference) from the average, with the average in this case being the 30-year period from 1981 to 2010. UAH data is the earliest to be released each month.

The official link to the data at UAH can be found here, but most months we get a sneak preview of the release via the climatologist Dr Roy Spencer at his blog.

Spencer, and his colleague John Christy at UAH, are noted climate skeptics. They are also highly qualified climate scientists, who believe that natural climate variability accounts for most of recent warming. If they are correct, then we should see some flattening or even reversal of the upward trend within the UAH temperature time series. To date, we haven’t (click for larger image).

That said, we also haven’t seen an exponential increase in temperature, which would be required for us to reach the more pessimistic temperature projections for end of century. However, the data series is currently too short to rule out such rises in the future.

UAH Global Mean Temps July 2013 jpeg

One of the initial reasons for publicising this satellite-based data series was due to concerns over the accuracy of terrestrial-based measurements (worries over the urban heat island effect and other factors). The satellite data series have now been going long enough to compare the output directly with the surface-based measurements. All the time series are now accepted as telling the same story (for a fuller mathematical treatment of this, see Tamino’s post at the Open Mind blog here).

Note that the anomalies produced by different organisations are not directly comparable since they have different base periods. Accordingly, to compare them directly, you need to normalise each one by adjusting them to a common base period.

Data Watch: UAH Global Mean Temperature June 2013 Release

The University of Alabama-Huntsville (UAH) global average lower tropospheric temperature anomaly for June 2013 was released via the web site of Dr Roy Spencer (one of the founders of the programme that produces this temperature time series) on June 9th. The anomaly refers to the difference between the current temperature reading and the average reading for the period 1981 to 2010.

June 2013: Anomaly +0.30 degrees Celsius

This is the 4th warmest June temperature recorded since the satellite record was started in December 1978 (34 May observations). The warmest June to date over this period was June 1998 (1998 being the super El Niño year), with an anomaly of +0.51 degrees Celsius.

As background, five major global temperature time series are collated: three land-based and two satellite-based. The most high profile satellite-based series is put together by UAH and covers the period from December 1978 to the present. Like all these time series, the data is presented as an anomaly (difference) from the average, with the average in this case being the 30-year period from 1981 to 2010.

The official link to the data at UAH can be found here, but most months we get a sneak preview of the release via the climatologist Dr Roy Spencer at his blog.

Spencer, and his colleague John Christy at UAH, are noted climate skeptics. They are also highly qualified climate scientists, who believe that natural climate variability accounts for most of recent warming. If they are correct, then we should see some flattening or even reversal of the upward trend within the UAH temperature time series. To date, we haven’t (click for larger image):

UAH June 2013 Anomaly jpeg

One of the initial reasons for publicising this satellite-based data series was due to concerns over the accuracy of terrestrial-based measurements (worries over the urban heat island effect and other factors). The satellite data series have now been going long enough to compare the output directly with the surface-based measurements. All the time series are now accepted as telling the same story (for a fuller mathematical treatment of this, see Tamino’s post at the Open Mind blog here). Note that the anomalies produced by different organisations are not directly comparable since they have different base periods. Accordingly, to compare them directly, you need to normalise each one by adjusting them to a common base period.

Data Watch: UAH Global Mean Temperature April 2013 Release

The University of Alabama-Huntsville (UAH) global average lower tropospheric temperature anomaly for April 2013 has been released via the web site of Dr Roy Spencer (one of the founders of the programme that produces this temperature time series). The anomaly refers to the difference between the current temperature reading and the average reading for the period 1981 to 2010.

April 2013: Anomaly +0.10 degrees Celsius

This is the 11th warmest April temperature recorded since the satellite record was started in December 1978 (34 April observations). The warmest April to date over this period was April 1998, with an anomaly of +0.66 degrees Celsius.

As background, five major global temperature time series are collated: three land-based and two satellite-based. The most high profile satellite-based series is put together by UAH and covers the period from December 1978 to the present. Like all these time series, the data is presented as an anomaly (difference) from the average, with the average in this case being the 30-year period from 1981 to 2010.

The official link to the data at UAH can be found here, but most months we get a sneak preview of the release via the climatologist Dr Roy Spencer at his blog.

Spencer, and his colleague John Christy at UAH, are noted climate skeptics. They are also highly qualified climate scientists, who believe that natural climate variability accounts for most of recent warming. If they are correct, then we should see some flattening or even reversal of the upward trend within the UAH temperature time series. To date, we haven’t (click for larger image):

UAH Satellite Temperature jpeg

One of the initial reasons for publicising this satellite-based data series was due to concerns over the accuracy of terrestrial-based measurements (worries over the urban heat island effect and other factors). The satellite data series have now been going long enough to compare the output directly with the surface-based measurements. All the time series are now accepted as telling the same story (for a fuller mathematical treatment of this, see Tamino’s post at the Open Mind blog here). Note that the anomalies produced by different organisations are not directly comparable since they have different base periods. Accordingly, to compare them directly, you need to normalise each one by adjusting them to a common base period.

I would hope that if the chart keeps showing a line rising up to the right—and old records keep getting broken—then Spencer and Christy will admit that their hypothesis is wrong. Unfortunately, my gut feeling is that they will take their opposition to the idea of significant anthropogenic global warming to the grave. The physicist Max Planck once said

A new scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die, and a new generation grows up that is familiar with it.

This is frequently paraphrased, rather cynically, as “science advances one funeral at a time”. It is unfortunate, however, that we do not have the time to let opposition to concrete action to prevent climate change die off in a decade or two. By then, dangerous climate change will likely already be locked in.