Month of May, Global Temperature Recap

18 06 2008

Since I’m traveling at the moment at have a combination of occasional Internet connectivity and exhaustion, I’ll defer to Joe D’Aleo’s excellent writeup on UAH, RSS, GISS, and HadCRUT. – Anthony

Global Data All In – NASA GISS Biggest Outlier Again

By Joseph D’Aleo, CCM, AMS Fellow
All the data sources have now reported for global May temperatures with Hadley coming in today. University of Alabama MSU was the coldest with a -0.18C. RSS MSS was a close second with -0.083C. Hadley had a +0.278C and NASA GISS came in at +0.36C.

UAH and RSS MSU satellite data uses a base period of 1979-1998.  NASA uses the coldest period of the last century 1951 to 1980. Hadley uses 1961 to 1990 as a base period. Obviously satellite providesthe best coverage of the low and middle latitudes land and oceans. The other data bases are at the mercy of the country governments and of spotty imperfect ocean temperature measurements.

2/3rds pf the worlds station dropped out after 1990 and the number of missing months in places like Asia and Africa increased tenfold. Siting has been shown so well by Anthony Watts at http://surfacestations.org to ba an issue with more than 2/3rds of the United States stations poorly sited. The importance of urbanization is underestimated thanks to the flawed research of Peterson and Parker in all the global surface data bases. Numerous studies have shown that surface data bases may overestimate warming by 50%. And then there is the issue of the oceans and each of the data centers treats that differently and now will likely change the data to better reflect the changeover from buckets to ship intakes. See Steve McIntyre’s Lost at Sea here.

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See larger image here

All four plotted data sets, yes even GISS shows a decline since 2002. GISS has the largest positive anomaly because it uses the coldest base period. Satellites, the coldest since, their base period (by chance) was in the warmest decades (of the positive PDO with most El Ninos).  Note how well the temperature variations have tied to the variations of ENSO, in this case using the Mulitvariate ENSO Index (MEI) of CDC’s Wolter.

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HadCRUT for May 08 is out

18 06 2008

2008/05  0.278

Writing from airport, more later- Anthony

MORE- here is the link for those that can’t find it:

Reference: HadCRUT3 anomaly data which can be found here
description of the HadCRUT3 data file columns is here

2008/01  0.053 
2008/02  0.192 
2008/03  0.430 
2008/04  0.254 
2008/05  0.278

May is surprisingly large, Mosh nailed it best with his “no change” first guess. But it appears there may be some missing data according to commenters. HadCRUT took quite a long time to get this number out.





A Window on Water Vapor and Planetary Temperature

18 06 2008

Here is some interesting news; according to data from NOAA’s Earth System Laboratory, atmospheric water vapor is on the decline globally.

You’ve probably heard many times how water vapor is actually the  most important “greenhouse gas” for keeping our planet warm, with an effectiveness far greater than that of CO2.

It is generally accepted that the rank of important greenhouse gases is:

  • water vapor and clouds which causes up to 70% of the greenhouse effect on Earth.
  • carbon dioxide, which causes 9–26%
  • methane, which causes 4–9%
  • ozone, which causes 3–7%

Note the range of uncertainties, on water vapor some say the percentage goes up to 90% with reduced numbers on the other three.

It is absolutely true that water vapor is the gas most responsible for the “greenhouse effect” of our atmosphere. Greenhouse gases let short-wave solar radiation through the atmosphere, but impede the escape of long-wave radiation from the Earth’s surface. This process keeps the planet at a livable temperature: Without a suitably balanced mixture of water vapor, CO2, methane, and other gases in the atmosphere, Earth’s average surface temperature would be somewhere between -9 and -34 degrees Fahrenheit, rather than the balmy average 59 degrees it is today.

This graph then from NOAA’s Earth System Research Laboratory, showing specific humidity of the atmosphere up to the 300 millibar pressure level (about 8 miles altitude) is interesting for it’s trend:


Click for original source of the graph

[UPDATE2: After reading comments from our always sharp readers, and collaborating with three other meteorologists on the graph, I'm of the opinion now that this graph from ESRL, while labeled as "up to 300mb only" is misleading due to that label. The first impression I had would be from the surface to 300mb i.e. the "up" portion of the label, but on the second thought I believed the label was intended to be numerical meaning "zero to 300mb" or from the top of the atmosphere down as opposed from the surface up as we normally think of it. The values looked like anomaly values, but are inthe range of absolutes for that elevation also.

Thanks to some work by commenter Ken Gregory, looking at other ways this and similar graphs can be generated from the site, it has be come clear that this is a level, not a range from a level. The label ESRL placed "up to 300mB was intended to list the availability of all data levels. Thus there is no 200mb data.

This demonstrates the importance of labeling a graph, as without any supplementary description, it can be viewed differently than the authors intend. A better label would be "at 300mb" which would be unambiguous. ESRL should correct this to prevent others from falling into this trap.]

For some background into atmospheric absorption efficiency of the electromagnetic spectrum, this graph is valuable:

Note the CO2 peak at 15 microns is the only significant one, as the 2.7 and 4.3 micron CO2 peaks have little energy to absorb in that portion of the spectrum.  But the H2O (water vapor) has many peaks from .8 to 8 microns, two that are fairly broad,  and H2O begins absorbing almost continuously from 10 microns on up, making it overwhelmingly the major “greenhouse gas”.

Here is another graph looking at it in a different way: Read the rest of this entry »





Surveying USHCN Stations From My Desk

18 06 2008

In How Not to Measure Temperature Part 65, I showed a COOP-A station near Manhattan, KS at Tuttle Creek Lake that had been surveyed. In actuality, that survey was a “miss” and the intended target was the USHCN station in Manhattan (COOP ID # 144972) on the Campus of Kansas State University.

But things happen, and once in awhile what initially looks like the correct station turns out to be the wrong one. That has happened maybe a half dozen times out of over 500 surveyed stations and been caught in the process of QC for assigning a CRN station rating.

The good news is, in looking to verify whether the photos submitted for Manhattan, KS were in fact the correct station, I found a unique tool that has allowed me to create a silver lining in the rain cloud of missed opportunity.

Google Maps has been used before to spot stations, but in this case, a new feature, called “street level views” allowed my not only to spot the station, but to get photos of it without ever leaving my desk!


Click for a larger image

Above we see the familiar aerial view from Google Earth, using the lat/lon coordinates from the NCDC MMS database, I was able to spot the Stevenson Screen easily in the grassy area.

The next trick is to measure how close the station is to asphalt, buildings etc to determine it’s CRN rating. For this I use the Google Earth desktop application and the built in measurement tool it provides:


Click for a larger image

The closest asphalt was the parking lot to the south, at just over 30 meters. The other roads were well beyond 30 meters from the Stevenson Screen. So initially it looks like this station is a Class 2 (no artificial heating sources within 30 meters).

Next using the Google Street Level View, I was able to get three different angles of the station, thanks to some enterprising student who had driven the special camera around campus. Read the rest of this entry »