Watts Up With That?

I just finished a 150+ mile round trip from Boulder to get Dillon, CO and Cheesman Reservoir USHCN sites in addition to the Boulder NIST/NOAA site.

Cheesman had recently been flooded due to heavy runof from forest fire, the roads were mudpits, and even with 4WD I rented couldn’t get there before sunset. So gave up and returned to hotel at DIA for flight out tomorrow.

Had Vietnamese food with Pielke’s group last night, and that didn’t help my day either. I’m pretty toasted. But it was a heckofa good day even so.

So I’m signing off for a couple days for travel back home and some R&R.

The good news; While driving back on US285 I had another citizen science project idea to disprove Parker’s 2004 and 2006 papers essentially saying “UHI is minimal or doesn’t exist”, which I believe is unsupportable. I think it will work. Got to mull it over. Check back in a day or two. Pictures and presentation coming when I get back to normal schedule.

Anthony out

Boulder is home to National Institute of Standards and NOAA’s research lab…big government facility and probably the most secure weather station in the USA, I had to go through metal detectors, have mirrors run under my vehicle, be photographed, and my drivers license verified.

Took 2 hours…on the road at the moment to get another station in Colorado, blogging via WiFi from Starbucks

Will post new pix soon.

This mornig s session is all about drafting a set of suggestions to forward to other key members of the climate research community using the group knowledge gained from this conference. I have submitted my suggestion, and it has been accepted for inclusion in the publication. It reads:

It has become clear that many surface weather stations, possibly a
significant number, may have undocumented biases that may or may not
be correctable using data analysis and data adjustment techniques.
After completion of weather station surveys for USHCN and other
networks, Why not identify the known good stations that have long term
records, few station moves, and no obvious microsite biases and
separate their data into a subset. Study the data and trends the known
good station subsets produce separately to see what can be learned.