About

My name is Bryan and I’m a recently retired meteorologist and environmental engineer with a long-time interest in all earth sciences and astronomy.  Recently I have been studying climate, paleo climate, and ecology, as well as ancestral diet and health.  I am not a climate expert but as I learn more about climate I will be sharing some of the more interesting things that I learn.  I receive no funding for this blog and the ideas and information expressed here are my own opinions based on my own experience and collected wisdom.

I have a Bachelors Degree in Engineering Science (1974) and Masters Degree in Engineering (1979) from the University of Texas at Austin with a major in meteorology and minor in environmental health engineering.  I have over 40 years of work experience in air quality and weather forecasting, analysis, monitoring, quality assurance, and data validation.

As a hobby I have tracked all of the Atlantic hurricanes and tropical storms since 1963 and I have been an avid amateur photographer ever since my first camera at age seven. Some of my more interesting photos are posted here:

Flickr: Bryan – oz4caster

The cover photo is from a film negative scan of a photo I took from the top of a mountain I climbed in Colorado in May 1977.

10 responses to “About

  1. Good blog, Brian, I thought you were Australian with the “oz” prefix.

  2. Thanks Keith. The “oz” is from “ozone”. For many years I forecasted ozone and particle air pollution for the State of Texas before I retired in 2015. Hence the handle “oz4caster”.

  3. Oz

    I got a reply from the help desk at the Met Office regarding Cairngorm:

    “The Met Office Cairngorm Summit SIESAWS (Severe Icing Environment Semi-Automatic Weather Station) uses ultrasonic wind sensors and the reported wind is for the 10 minute period leading up to the observation.”

    So now we know!

    Bruce.

  4. Hi Brian,

    I am a daily visitor of your blog and I really appreciate your data reports.

    But today I am wondering: how come that your UAH update today shows a lower value for the month february 2021 relative to january 2021 while the UAH data itself shows a higher value, see:

    https://www.nsstc.uah.edu/data/msu/v6.0/tlt/uahncdc_lt_6.0.txt
    http://www.drroyspencer.com/2021/03/uah-global-temperature-update-for-february-2021-0-20-deg-c/

    Greetings from The Netherlands!

    • Martijn,
      Thanks for catching my mistake! I forgot to convert the reference baseline from 1990-2020 as reported by UAH to the 1981-2010 baseline that I am using in the graph. This adjustment changes the February temperature anomaly from +0.196C referenced to 1990-2020 into +0.357C referenced to 1981-2010. Also, in January I used a simple annual baseline adjustment with the same annual adjustment applied to every month. Just now I switched to using a separate baseline adjustment calculation for each month to be consistent with how I adjust the baseline for data from other sources. The monthly baseline adjustments range from +0.120C for December to +0.167C for September, compared to the annual adjustment of +0.137C. I have applied the monthly baseline adjustments in the now corrected the graph.

  5. Thanks! 😉

    PS. Again, I really appreciate your efforts.

  6. Hi Brian,

    Please also consider: the UAH shows a higher march 2021 value relative to the lowest 2018 monthly value but in your dataset march 2021 is below all 2018 values.

    Thanks, Martijn.

    • Hi Martijn. Good to hear from you. What you are seeing is an artifact of my converting the 1991-2020 baseline now used by UAH to the 1981-2010 baseline that I am still using. The UAH reported value for 2021 March is -0.005C and my baseline adjustment for March is +0.128C, which yields 0.123C for the 1981-2010 baseline. The UAH lowest reported value for 2018 is -0.033C for September. My baseline adjustment for September is +0.167C, which yields 0.134C when adjusted to the 1981-2010 baseline and is thus higher than the adjusted March 2021 value.

      If you haven’t seen it already, I discussed how changing baselines can alter seasonal patterns here (using daily rather than monthly data):

      Global Temperature Reanalysis Baseline Comparisons

  7. Yes it makes sense, thanks for your explanation.
    Greetings from The Netherlands!

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