Mathematics – Logic
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmpp52a0659g&link_type=abstract
American Geophysical Union, Fall Meeting 2005, abstract #PP52A-0659
Mathematics
Logic
1616 Climate Variability (1635, 3305, 3309, 4215, 4513), 1637 Regional Climate Change, 7537 Solar And Stellar Variability (1650)
Scientific paper
We have tested the accuracy of direct coupling between ground surface temperatures (GST) and surface air temperatures (SAT) by comparison of daily, monthly, and annual SAT data with borehole data from the north central US and Canada. Synthetic T-z profiles generated from daily SAT data from an array of 89 automated meteorological stations were compared with repeat measurements of T-z profiles in boreholes initially logged ten to twenty-six years ago. This analysis shows that changes in borehole temperatures agree with changes in surface air temperatures and soil temperatures on multi-decade timescales. Generation of synthetic T-z profiles based on daily, monthly, and annual data produces the identical final profiles although more information is contained in the daily and monthly data. This analysis of different data sets yielded a surprising correlation between the TOA composite solar irradiance and the daily SAT and soil temperatures at the meteorological stations. This correlation is not evident with monthly and annual temperature data. This research is supported by NSF ATM-038384.
Dong Xin
Gosnold W.
Popham J.
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