Application of the sucrose inversion method to delineation of region-wide temperature patterns

1987 ◽  
Vol 65 (4) ◽  
pp. 779-786
Author(s):  
Shirley R. Denton ◽  
Burton V. Barnes

The sucrose inversion method is an inexpensive tool for estimating mean temperature. Heretofore, the method has been limited to use in ecological studies where field placement of samples and duration of exposure of all samples of sucrose solution could be identical. A procedure was developed to relax the restriction of simultaneous field placement and exposure. Michigan, where conventional weather station data are available, was used to test the suitability of the sucrose inversion method for wide-area ecological use. The procedure presented uses daily maximum and minimum temperature data from a reference weather station, as well as the amount of sucrose inverted, to estimate the mean temperature in the study environment. When applied to 596 sites throughout Michigan, uncorrected sucrose inversion estimates gave nonsensical estimates of mean temperatures for the growing season of 1983. Estimates using as few as four reference weather stations plus the amount of sucrose inverted at each sample site gave results on the same order of accuracy as weather station data.

MAUSAM ◽  
2021 ◽  
Vol 49 (1) ◽  
pp. 21-26
Author(s):  
A. M. SHEKH ◽  
M.S. KULSHRESHTHA ◽  
H. R. PATEL ◽  
R. S. PARMAR

An attempt has been made to study the variation in daily mean temperatures obtained from maximum and minimum temperatures and that obtained from hourly temperatures recorded by the automatic weather station at the Agrometeorological Observatory, Anand (Gujarat).   The mean temperatures obtained from the records of daily maximum and minimum temperatures were higher and fluctuated from -1.5 to 1.5 °C during the months of September to May as compared to the respective values obtained from hourly temperatures recorded by the automatic weather station. However, during May to September, these daily mean temperatures were found to be higher than mean temperatures obtained from the automatic weather station. Different coefficients were deduced from the records of the automatic weather station to estimate the hourly temperatures and a model was developed similar to that of William and Logan (1981). The hourly temperatures and the daily mean temperatures so estimated were in good agreement with the respective actual hourly and daily temperatures record by the automatic weather station. Therefore, by using this model one could estimate the true daily mean temperature from the records of maximum and minimum temperatures.


Author(s):  
Edward Hanna ◽  
John Penman ◽  
Trausti Jónsson ◽  
Grant R. Bigg ◽  
Halldór Björnsson ◽  
...  

Here, we analyse high-frequency (1 min) surface air temperature, mean sea-level pressure (MSLP), wind speed and direction and cloud-cover data acquired during the solar eclipse of 20 March 2015 from 76 UK Met Office weather stations, and compare the results with those from 30 weather stations in the Faroe Islands and 148 stations in Iceland. There was a statistically significant mean UK temperature drop of 0.83±0.63°C, which occurred over 39 min on average, and the minimum temperature lagged the peak of the eclipse by about 10 min. For a subset of 14 (16) relatively clear (cloudy) stations, the mean temperature drop was 0.91±0.78 (0.31±0.40)°C but the mean temperature drops for relatively calm and windy stations were almost identical. Mean wind speed dropped significantly by 9% on average during the first half of the eclipse. There was no discernible effect of the eclipse on the wind-direction or MSLP time series, and therefore we can discount any localized eclipse cyclone effect over Britain during this event. Similar changes in air temperature and wind speed are observed for Iceland, where conditions were generally clearer, but here too there was no evidence of an eclipse cyclone; in the Faroes, there was a much more muted meteorological signature. This article is part of the themed issue ‘Atmospheric effects of solar eclipses stimulated by the 2015 UK eclipse’.


1991 ◽  
Vol 29 (1) ◽  
pp. 110-132 ◽  
Author(s):  
R.D. Brown ◽  
T.J. Gillespie

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