Energiebilanz arktischer Bewölkung aus Modell und Beobachtung

This diploma thesis discusses the effect of clouds under arctic conditions on the energy balance at ground and the impact on sea ice and snow conditions. To calculate the energy balance is used an one-dimensional sea ice model from Andreas Lehmann. He is a scientist at the IFM-GEOMAR in the field of...

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Bibliographic Details
Main Author: Renkosik, Niko
Format: Thesis
Language:German
Published: 2010
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/9251/
https://oceanrep.geomar.de/id/eprint/9251/1/NRenkosik_Dipl_2010.pdf
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Summary:This diploma thesis discusses the effect of clouds under arctic conditions on the energy balance at ground and the impact on sea ice and snow conditions. To calculate the energy balance is used an one-dimensional sea ice model from Andreas Lehmann. He is a scientist at the IFM-GEOMAR in the field of research „theory and modelling “. The model for this thesis is taken from the threedimensional and dynamic ice model BSIOM(Jacob et al. (2006)). The energy balance is made up of incoming solar radiation with the surface albedo, the outgoing and incoming longwave radiation and the latent and sensible heat flux. The radiation flux dominate the energy balance in the Arctic. Therefore at first several parameterizations for incoming shortwave radiation and longwave counter-radiation are analysed with data from the expedition ARK-XXIV/3 of the research vessel Polarstern. For the analysis are put parameterizations for the global radiation from Zillman (1972), Shine (1984), Bennett (1982) and Shine/Bennett. Parameterizations by Maykut und Church (1973), Zillman (1972), König-Langlo und Augstein (1994), Konzelmann et al. (1994) and Zapadka et al. (2007) are used for the study of the longwave counter-radiation. The parameterizations of shortwave radiation can reflect the rough diurnal variations in global radiation. Nevertheless, there are considerable differences between observation and parameterization, if direct sunlight arrives ground under a high degree of cloud cover and it comes to short-term increase in radiation. These increases can not be reproduced by any of the parameterizations. In principle, the parameterizations tend to overestimate low values of shortwave radiation and to underestimate high values. The parameterizations of longwave counter-radiation have significant problems to reflect the diurnal variation of the measured values on some days. Especially after sunrise and before sunset are often the coverages of clouds from the cloud detection algorithms be misinterpreted on the sky imager photos. In these ...