The graph you’re looking at is the GISTemp LOTI GTR (The Goddard Institute for Space Studies Land and Ocean Temperature Index Global Temperature Record).
The peak you’re using as the start point for your trend is the value for 1998, the graph clearly shows that one year exceeds this value and two years are very similar. Below is the same part of the graph expressed in numerals. Values are expressed as anomalies against the 1951-80 base period mean and the figures in parentheses show the ranking across the range.
1998 … 0.5600°C … (05)
1999 … 0.3125°C … (13)
2000 … 0.3250°C … (12)
2001 … 0.4717°C … (10)
2002 … 0.5517°C … (06)
2003 … 0.5417°C … (07)
2004 … 0.4758°C … (09)
2005 … 0.6167°C … (02)
2006 … 0.5308°C … (08)
2007 … 0.5692°C … (03)
2008 … 0.4375°C … (11)
2009 … 0.5658°C … (04)
2010 … 0.7233°C … (01)
So in reality, if we use this temperature record then 1998 ranks 5th, with the temperature for that year having been exceeded on 4 occasions in the last 6 years.
To make life easier I’ve produced a graph showing just the last 13 years, it’s on a larger scale than the NASA one so it’s easier to compare values from one year to the next. The graph uses the LOTI data from 01st January 1998 to 09th July 2010 and is shown as the red line expressed as an anomaly against the 1951-80 base period (ie exactly the same as the graph you linked to). The blue line is the trend expressed as a 2nd order polynomial.
http://www.flickr.com/photos/trevorandclaire/4779286897/sizes/l/in/photostream/
However, in the last question you asked you stated that “Even the most strident AGWer will have to acknowledge that a 13 year trend is not grounds for unequivocal proof of a climate change.” This begs the question why you are now using a 13 year trend and concluding “there appears to be a levelling out or even decline in temperatures”.
As you initially stated, and has been pointed out on countless occasions, 13 years is too short a period of time to deduce anything with respect to the climate as there are too many short-term variables which affect the temperature.
It’s for this reason that both the NASA graph and my graph use 30 year base-periods and express values as anomalies against this.
Using exactly the same data source but plotting a 30 year graph produces this…
http://www.flickr.com/photos/trevorandclaire/4779953718/sizes/l/in/photostream/
And doing the same thing but using the last 100 years of data produces this…
http://www.flickr.com/photos/trevorandclaire/4779964488/sizes/l/in/photostream/
Now, the whole premise of your argument is fundamentally flawed in that you’re trying to identify climatic changes by comparing annual temperatures to a value for a specific year. As I’ve mentioned, there are too many short term variables to be able to do this.
In your example the year you have chosen is 1998. This was the year of the strongest El Nino on record, this is an event that causes changes in the atmospheric conditions over the southern Pacific Ocean and leads to warming on a global scale.
The strength of the ENSO (El Nino Southern Oscillation) is measured on the Oceanic Nino Index (ONI). The 1998 episode was accompanied by ONI values that peaked at 2.5, there were 6 consecutive months where the ONI exceeded 2.0. To put this into perspective, the ONI has exceeded 2.0 on only 6 other occasions in the last 50 years so to get 6 consecutive months with such high values is something quite exceptional.
Current temperatures are being pushed above the norm due to the effects of the ENSO. In this instance the ONI peaked at 1.8 in December 2009, because ONI’s are calculated using rolling averages there is no value yet for June or July; the strength has been declining throughout the year and the likely current value will be around 0.2 or 0.3.
We can produce another set of figures showing how the global temperature has changed, this time by eliminating the effects of the ENSO and other short term influences such a volcanic eruptions and solar storms. The graph can be further enhanced by incorporating not just one temperature record (LOTI in the example you quoted), but all the temperature records.
LOTI shows a warming bias and the inclusion of other temperature records reduces the anomalous values.
The graph below shows the LOTI record in blue, the average of all temperature records in red and the effect on the temperature record by elimination (as best as possible) of the effects of the ENSO and other short term variables.
http://www.flickr.com/photos/trevorandclaire/4779993816/sizes/l/in/photostream/
In conclusion, when the data are correctly interpreted there is always going to be a clear upward trend in temperatures.
PS – You can check the accuracy of all the figures and graphs by downloading and analysing the data for yourself.