The 5 global land-ocean temperature anomaly (LOTA) series use different baseline periods, making direct comparisons between the series more difficult than it would be if each series had the same baseline period.
This post shows how to convert the 5 major LOTA series to a common baseline. Links to on-line source data file and RClimate script are provided. Here is long term LOTA trends using a 133 month moving average and 1979-2008 baseline.
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This post shows the YTD global land – ocean temperature anomaly (LOTA) trends for the 5 major series through November, 2010 and how 2010 YTD ranks over the entire record for each series. The source data file link is provided.
This post shows the YTD global land – ocean temperature anomaly (LOTA) trends for the 5 major series through October, 2010 and how 2010 YTD ranks over the entire record for each series. The source data file link is provided.
I have made several updates to RClimate tools for do-it-yourself climate scientists. The downloadable monthly climate trends file (link to csv file) now includes the 5 major global land-ocean temperature anomaly time series (GISS, HAD, NOAA, RSS, UAH) as well as PDO, AMO and NINI34 indexes. Stay tuned, I plan to add several more series in the next few weeks. Do you have any suggestions?
I have also added several functions to my on-line RClimate.txt file to help DIY citizen climate scientists to quickly and easily retrieve up to date climate trend data so that they can spend their time analyzing the temperature anomaly and climate oscillation trends rather than slugging through data downloads and reformatting.
In this post I present a 5 panel trend charts which show the year-to-date anomaly trends for the 5 major global temperature anomaly series and a table that shows how 2010 YTD ranks over the entire record for each series. The source data and RClimate script file links are provided.
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In this post I present a trend chart which shows the September anomaly trends for the 5 major global temperature anomaly series and a table that shows how September 2010 ranks over the entire record for each series. The source data and RClimate script file links are provided.
Update 1: In a comment, ChristianP suggested the addition of a loess regression fit to the trend line chart. Thanks ChristianP.
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Do-it-yourself citizen scientists need to conduct proper data analysis to reach valid conclusions.
In this post I show how the blogger Inconvenient Skeptic misleads himself on the role of the Atlantic Multi-decadal Oscillation in global warming because he misinterprets his own trend charts and implies causation from correlation.
Now that the 2010 Arctic sea ice melt season is over, we can see how 2010 fits into the long-term trends Arctic Sea Ice Extent. This post shows an R Climate chart that I have made to look at the annual NSIDC Arctic Sea Ice Extent maximum, minimum and seasonal melt trends for the 32 year period, 1979 to 2010. Data and RClimate scripts are provided.
Update 1 (10/6/10) Added trend lines to plots based on suggestion from reader.
Here’s my RClimate script trend chart of 1979-2010 NSIDC Arctic Sea Ice Extent data. I have plotted NSIDC’s maximum and minimum sea ice extent for each year and my calculated value for seasonal melt (maximum – minimum). (Click image to enlarge)
arctic oscillation (AO): 1 - trends Since 1950
In this post, I begin a series on the Arctic Oscillation (AO) . This post presents a chart of monthly AO Index from 1950 to the present and introductory information on AO . I will be updating this chart each month as NOAA updates the data series. A link to the RClimate script that downloads the source data from NOAA is provided.
Update 1: Reader skrafner noticed that my plot legend indicated a 60-day moving average while the script actually calculated a 60-month moving avg. I’ve updated the script and plot.
GISS has issued their August, 2010 temperature anomalies. Here’s the long term trend and 2×2 degree map.