Betcha never seen this, RSS less UAH V6, 2015 05

Posted: June 11, 2015 by tchannon in Analysis, weather

Since I can, maybe, I decided to sell the new software a pup…

Goes likes this: plot RSSTLT and UAHTLT6 with the do not delete file flag, import both CSV into spreadsheet, subtract, change some text, export as CSV, start hacking, add a way to accept an alien file, and yay, it works.


Figure 1, RSSTLT less UAHTLT V6, forced plot range, unweighted

Any no data in either is no data, otherwise verbatim.
Force range is about that Himalayas spike in RSS, autoscale sees it but is so extreme a manual reduces the range, value clips to maximum colour, no change. (in a global sense one cell is gnats pee)

PDF for pan and zoom is here (283kB)
I can do a version with annotated temperatures if requested, large file. If names want this, expect you have my email.


Figure 2, UAH TLT V6 2015 05, weighted


Figure 3, RSS TLT, weighted (as last Talkshop article)

Ask if you want PDF etc. etc.


Given this is contentious here are the CSV as used.

Zip here containing three comma delimited, crlf line ends CSV (40kB)
Should drop into any spreadsheet or import into most things. Should be self explanatory. Grid is 2.5 degrees, no data either ? or nk

Post by Tim

  1. gymnosperm says:

    Very cool. Don’t they use the same satellites and the same raw data? Are we seeing algorithm minus algorithm?

  2. Lance Wallace says:

    Very nice, thanks for the .csv files. I summed across all latitudes and all longitudes. RSS > UAH for all latitudes north of 11.25, and most latitudes south of -41.25. But that’s just one month. I compared the new version 6.0 beta2 to RSS for the tropics for all 36 years of monthly values–the two regression lines lay on top of one another (slope was 0.0101 degree C per year for both).

  3. wayne says:

    The major differences between the two seem to hug most coastlines. Makes me wonder. I guess it’s possibly just this one month but now that you have the ability further months might add some insight if that is characteristic.

  4. ren says:

    Let’s look at the actual temperature of the oceans, particularly the North Pacific.
    You can see that these red spots on the maps poorly reflect reality. Even in the equatorial zone of the Pacific temperature is moderate, and the index of El Niño for the MAM is barely 0.7. Perhaps reaches 1.0.

  5. ren says:

    Click x 2.

  6. Ben Palmer says:

    Cool! Good job.

  7. tallbloke says:

    If RSS sees a wider range of anomalies, is this because its algorithms are probing closer to ‘surface’ than UAH?

  8. tchannon says:

    Tallbloke, something like that hence the bother with ground interference, what Wayne is suggesting.

    I need to write carefully:– A member of a team considers the middle troposphere to be the better representation. —

    The middle troposphere datasets tend to be ignored by the gallery.

  9. tchannon says:

    wayne, trust someone to mention that, was expected 🙂

    I could of course automate.
    Various other ideas come to mind such as compare of any dataset, tricky because the differences in gridding, is possible.


  10. tchannon says:

    The date on this is what it says.

    Above has detail alignment error, I’ve a lot to do yet, probably not visible.

    No worry about date, all look the same.

    Best say nothing.

    // global attributes:
    :title = “NOAA Extended Reconstructed SST V3b” ;
    :Conventions = “CF-1.0” ;
    :history = “Thu Jul 1 14:03:49 2010: ncatted -O -a _FillValue,sst,o,s,32767\n”,
    “created 09/2007 by CAS” ;
    :comments = “The extended reconstructed sea surface temperature (ERSST)\n”,
    “was constructed using the most recently available \n”,
    “Comprehensive Ocean-Atmosphere Data Set (COADS) SST data \n”,
    “and improved statistical methods that allow stable \n”,
    “reconstruction using sparse data.\n”,
    “Currently, ERSST version 2 (ERSST.v2) and version 3 (ERSST.v3) and ERSST.v3b) are available from NCDC.\n”,
    “ERSST.v3b is an improved extended reconstruction over version 2.\n”,
    ” but with no satellite data ” ;
    :platform = “Model” ;
    :source = “NOAA/NESDIS/National Climatic Data Center” ;
    :institution = “NOAA/NESDIS/National Climatic Data Center” ;
    :references = “\n”,
    “” ;
    :citation = “Smith, T.M., R.W. Reynolds, Thomas C. Peterson, and Jay Lawrimore 2007: Improvements to NOAA\’s Historical Merged Land-Ocean Surface Temperature Analysis (1880-2006). In press. Journal of Climate (ERSSTV3).\n”,
    “Smith, T.M., and R.W. Reynolds, 2003: Extended Reconstruction of Global Sea Surface Temperatures Based on COADS Data (1854-1997). Journal of Climate, 16, 1495-1510. ERSSTV1\n”,
    ” Smith, T.M., and R.W. Reynolds, 2004: Improved Extended Reconstruction of SST (1854-1997). Journal of Climate, 17, 2466-2477.” ;

  11. tchannon says: June 12, 2015 at 12:09 am

    “The date on this is what it says.”

    Fine graphic of the lower troposphere O2 radiative exitance near 60GHz in the direction of the sensor, as completely modified by the exitance at that frequency of every molecule in the whole path between that assumed lower troposphere. Such can never be considered a measurement of temperature of any where/when, nor any temperature anomaly of any where/when! 🙂

  12. NASA NOAA. Have effectively turned weather and climate into a lottery scam where the only rule is “wegetchermoney”. How much did us fools pay for such?