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Dissertation zugänglich unter
URN: urn:nbn:de:gbv:18-89689
URL: http://ediss.sub.uni-hamburg.de/volltexte/2018/8968/


Selected climate mitigation and adaptation measures and their impact on the climate of the region of Hamburg

Ausgewählte Klimaschutz- und Klimaanpassungsmaßnahmen und ihr Einfluss auf das Klima der Region Hamburg

Böttcher, Marita

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Basisklassifikation: 38.80
Institut: Geowissenschaften
DDC-Sachgruppe: Geowissenschaften
Dokumentart: Dissertation
Hauptberichter: Schlünzen, K. Heinke (Prof. Dr.)
Sprache: Englisch
Tag der mündlichen Prüfung: 01.11.2017
Erstellungsjahr: 2017
Publikationsdatum: 13.02.2018
Kurzfassung auf Englisch: In this thesis, the impact of selected climate mitigation and adaptation measures on the climate of the metropolitan region of Hamburg is quantified. Hypothetical large wind farms in the German Bight are selected as an example of possible climate mitigation measures. Their impact on the regional climate is assessed, with a focus on the urban heat island (UHI) of Hamburg during summer months. The impact of different climate adaptation measures like green roofs, increased albedo of structures such as roofs, streets and parking areas, and changes in building density is also considered, with an investigation of their effects on meteorological variables. Three socio-economic scenarios are considered: scenario s1, with a decreasing number of inhabitants and few adaptation measures; scenario s2, with a stagnant population and sporadic adaptation measures, and scenario s3, with a growing population, a compact city, and substantially implemented adaptation measures. Scenario s3 shows the highest impact on the urban summer climate and is investigated for the winter months as well to complete the assessment.

The methodology employed to assess the impact of the climate mitigation and adaptation measures is statistical-dynamical downscaling (SDD). The statistical part of the study is performed using two statistical methods: the skill score following Perkins et al. (2007) (SSP) and the newly developed bivariate skill score (BSS). The dynamical part of the downscaling is performed using the mesoscale model METRAS. A horizontal non-uniform grid is successfully tested and employed in the model. This reduces the number of necessary refinement steps for downscaling from global model results to the high horizontal grid resolution necessary for this study. In this study, METRAS is extended with a parametrisation for wind turbines to investigate the impact of wind farms on regional climate. For investigation in the inuence of climate adaptation measures on winter climate, a parametrisation of the effects of snow-covered soil on the exchange between soil and atmosphere is developed.

The study shows that the introduction of large wind farms in the German Bight would induce a slight cooling to large areas of Northern Germany. While the climate mean summer temperature of Hamburg is reduced due to the wind farms, there are systematic changes in cloud cover. This increases the mean strong summer UHI of Hamburg. Scenario s3 reduces the effects of the urban areas of Hamburg on the meteorological variables in the region and on the UHI during summer months. The changes introduced by the other two socio-economic scenarios are small. During winter months, scenario s3 leads to slightly higher temperatures and slightly increases the UHI in the winter climate average.

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