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| Titel |
Implementation and comparison of a suite of heat stress metrics within the Community Land Model version 4.5 |
| VerfasserIn |
J. R. Buzan, K. Oleson, M. Huber |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 2 ; Nr. 8, no. 2 (2015-02-05), S.151-170 |
| Datensatznummer |
250116103
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| Publikation (Nr.) |
 copernicus.org/gmd-8-151-2015.pdf |
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| Zusammenfassung |
We implement and analyze 13 different metrics (4 moist thermodynamic
quantities and 9 heat stress metrics) in the Community Land Model (CLM4.5),
the land surface component of the Community Earth System Model (CESM). We
call these routines the HumanIndexMod. We limit the algorithms of the
HumanIndexMod to meteorological inputs of temperature, moisture, and
pressure for their calculation. All metrics assume no direct sunlight
exposure. The goal of this project is to implement a common framework for
calculating operationally used heat stress metrics, in climate models,
offline output, and locally sourced weather data sets, with the intent that
the HumanIndexMod may be used with the broadest of applications. The
thermodynamic quantities use the latest, most accurate and efficient algorithms
available, which in turn are used as inputs to the heat stress metrics.
There are three advantages of adding these metrics to CLM4.5: (1) improved
moist thermodynamic quantities; (2) quantifying heat stress in every
available environment within CLM4.5; and (3) these metrics may be used with
human, animal, and industrial applications.
We demonstrate the capabilities of the HumanIndexMod in a default
configuration simulation using CLM4.5. We output 4× daily temporal
resolution globally. We show that the advantage of implementing these
routines into CLM4.5 is capturing the nonlinearity of the covariation of
temperature and moisture conditions. For example, we show that there are
systematic biases of up to 1.5 °C between monthly and ±0.5 °C between 4× daily offline calculations and the online
instantaneous calculation, respectively. Additionally, we show that the
differences between an inaccurate wet bulb calculation and the improved wet
bulb calculation are ±1.5 °C. These differences are
important due to human responses to heat stress being nonlinear.
Furthermore, we show heat stress has unique regional characteristics. Some
metrics have a strong dependency on regionally extreme moisture, while
others have a strong dependency on regionally extreme temperature. |
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