RClimate Tools for Do It Yourself Climate Trend Analysis – Nov, 2010 Update

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.


Climate trend analysis involves a number of steps that can present challenges to do-it-yourself (DIY) citizen climate scientists (C2S).  There are 3 basic steps even before you can start analyzing your data:

  1. You need to find the data source(s)
  2. You need to retrieve/ download the data file(s)
  3. You need to reformat/ manipulate the data file(s) to suitable format for your intended analysis

Suppose you want to compare NOAA anomaly trends with PDO and Nino 34 indexes. You would need to download and reformat/ merge 3 files or just use the RClimate monthly trends file. As a user of my own file, I can tell you first hand that it is much easier and more fun to use my consolidated file.

Having spent more time than I want to admit working my way through these preliminary steps, I want to make it as easy as possible for others to be able to get their hands on the data in Excel or R as quickly as possible.

For those new to  RClimate, here are links to  several previous posts on these free, open source climate data tools:

I now have 14 functions in my RClimate.txt file, 9 climate data retrieval and reformatting functions , an easy to use   plot_series(“?”) and 4 data support functions. There’s more on the way.  Do you have any suggestions? Do you have R scripts you’d like to contribute?

Looking for Partners

There are an incredible amount of climate data series available on the web in a multitude of formats. I  see a real need for a citizen based cooperative effort to consolidate and repackage this valuable data into usable formats for citizen climate scientists on an on-going basis. I’d welcome your ideas,  thoughts, suggestions and help to make this valuable climate trend data more accessible to existing and future citizen climate scientists.

11 responses to “RClimate Tools for Do It Yourself Climate Trend Analysis – Nov, 2010 Update

  1. Pingback: Did Global Warming Stop After 2007? « The Whiteboard

  2. Pingback: Did Global Cooling Stop in 1970? « The Whiteboard

  3. Pingback: Did Global Cooling Stop in 1980? « The Whiteboard

  4. Pingback: Did Global Warming Stop in 1940? « The Whiteboard

  5. Firstly thank you for making your scripts available: it has significantly helped me to gain access to R. I have modified one of the scripts to gain access to tidal data from particular sites from http://www.psmsl.org/data/obtaining/ and produce graphs and if appropriate regression data. This led me to think whether the generally perceived increase in mean tidal height is uniform across the world. Given the stated errors in the data, have you looked at this previously? Thank you again for your help.

  6. Pingback: 10, 20, 30, 40, 50 and More! « The Whiteboard

  7. Pingback: Nov 2010 Year-To-Date Global Temperature Anomaly 1st in 2 Series, 2nd in 2 Series | Climate Charts & Graphs

  8. Pingback: Did Global Warming Stop After 2000? « The Whiteboard

  9. Pingback: Did Global Warming Stop After 1998? « The Whiteboard

  10. Søren Rosdahl Jensen

    Have you considered adding the global temperature series of the Japanese Meteorological Agency to your file?
    Data can be downloaded here:

    The data are given on a 5 by 5 degree grid so to create a global dataset one needs to weight with area of each cell and then average.
    I have tried to do this but so far with no success.
    I can mail you my script (in Scilab) if you want.

  11. Pingback: Oct 2010 Year-To-Date Global Temperature Anomaly 1st in 2 Series, 2nd in 3 Series | Climate Charts & Graphs

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s