Diurnal temperature cycle deduced from extreme daily temperatures and impact over a surface reanalysis system
Due to the evolution of the observation network, hourly 2 m temperature analysis performed by reanalysis systems shows temporal inhomogeneities. The observation network gap is less present for extreme daily temperature observations. In order to reduce inhomogeneities and enable a climatological use...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-06-01
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| Series: | Advances in Science and Research |
| Online Access: | http://www.adv-sci-res.net/12/137/2015/asr-12-137-2015.pdf |
| Summary: | Due to the evolution of the observation network, hourly 2 m temperature
analysis performed by reanalysis systems shows temporal inhomogeneities. The
observation network gap is less present for extreme daily temperature
observations. In order to reduce inhomogeneities and enable a climatological
use of temperature analysis, information from extreme temperatures could be
useful. In this study, the diurnal temperature cycle has been reconstructed
for stations which only record extreme temperatures. These new "pseudo"
hourly temperature observations are then provided to the analysis system.
Two methods have been used to deduce hourly temperatures from extremes and
compared to real observations. The results have shown that using those new
pseudo-observations as an input for two different reanalysis systems
enables reducing the bias in temperature analysis. |
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| ISSN: | 1992-0628 1992-0636 |