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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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Due to the evolution of the observation network, hourly 2m temperature analysis performed by reanalysis systems shows temporal inhomogeneities. In this study, the diurnal temperature cycle has been reconstructed for stations which only record extreme temperatures to produce new “pseudo” hourly temperature observations. Then they are provided to analysis systems; the results have shown that it enables reducing the bias in temperature analysis.
Articles | Volume 12, issue 1
Adv. Sci. Res., 12, 137–140, 2015
https://doi.org/10.5194/asr-12-137-2015
Adv. Sci. Res., 12, 137–140, 2015
https://doi.org/10.5194/asr-12-137-2015

  30 Jun 2015

30 Jun 2015

Diurnal temperature cycle deduced from extreme daily temperatures and impact over a surface reanalysis system

F. Besson et al.

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Cited articles

Durand, Y., Brun, E., Merindol, L., Guyomarc'h, G., Lesaffre, B., and Martin, E.: A meteorological estimation of relevant parameters for snow models, Ann. Glaciol., 18, 65–71, 1993.
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Perrin, M., Besson, F., Soubeyroux, J. M., and Bazile, E.: Reconstitution du cycle quotidien de température pour le futur système d'analyse atmosphérique MESCAN. Rapport M1/SID – University of Toulouse III – Paul Sabatier, Toulouse, France, 2013
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Short summary
Due to the evolution of the observation network, hourly 2m temperature analysis performed by reanalysis systems shows temporal inhomogeneities. In this study, the diurnal temperature cycle has been reconstructed for stations which only record extreme temperatures to produce new “pseudo” hourly temperature observations. Then they are provided to analysis systems; the results have shown that it enables reducing the bias in temperature analysis.
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