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Growing degree hours - a simple, accurate, and precise protocol to approximate growing heat summation for grapevines
Despite its low accuracy and consistency, growing degree days (GDD) has been widely used to approximate growing heat summation (GHS) for regional classification and phenological prediction. GDD is usually calculated from the mean of daily minimum and maximum temperatures (GDD mm ) above a growing ba...
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Published in: | International journal of biometeorology 2016-08, Vol.60 (8), p.1123-1134 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Despite its low accuracy and consistency, growing degree days (GDD) has been widely used to approximate growing heat summation (GHS) for regional classification and phenological prediction. GDD is usually calculated from the mean of daily minimum and maximum temperatures (GDD
mm
) above a growing base temperature (
T
gb
). To determine approximation errors and accuracy, daily and cumulative GDD
mm
was compared to GDD based on daily average temperature (GDD
avg
), growing degree hours (GDH) based on hourly temperatures, and growing degree minutes (GDM) based on minute-by-minute temperatures. Finite error, due to the difference between measured and true temperatures above
T
gb
is large in GDD
mm
but is negligible in GDD
avg
, GDH, and GDM, depending only upon the number of measured temperatures used for daily approximation. Hidden negative error, due to the temperatures below
T
gb
when being averaged for approximation intervals larger than measuring interval, is large in GDD
mm
and GDD
avg
but is negligible in GDH and GDM. Both GDH and GDM improve GHS approximation accuracy over GDD
mm
or GDD
avg
by summation of multiple integration rectangles to reduce both finite and hidden negative errors. GDH is proposed as the standardized GHS approximation protocol, providing adequate accuracy and high precision independent upon
T
gb
while requiring simple data recording and processing. |
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ISSN: | 0020-7128 1432-1254 |
DOI: | 10.1007/s00484-015-1105-8 |