Call number:
M 20.93499
Description / Table of Contents:
Precipitation as the central meteorological feature for agriculture, water security, and human well-being amongst others, has gained special attention ever since. Lack of precipitation may have devastating effects such as crop failure and water scarcity. Abundance of precipitation, on the other hand, may as well result in hazardous events such as flooding and again crop failure. Thus, great effort has been spent on tracking changes in precipitation and relating them to underlying processes. Particularly in the face of global warming and given the link between temperature and atmospheric water holding capacity, research is needed to understand the effect of climate change on precipitation. The present work aims at understanding past changes in precipitation and other meteorological variables. Trends were detected for various time periods and related to associated changes in large-scale atmospheric circulation. The results derived in this thesis may be used as the foundation for attributing changes in floods to climate change.…
Type of Medium:
Dissertations
Pages:
112 Seiten
,
Illustrationen, Diagramme, Karten
URL:
http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-412725
URN:
urn:nbn:de:kobv:517-opus4-412725
Language:
English
Note:
Contents
Summary
1. Introduction
1.1 Background
1.1.1 Precipitation changes
1.1.2 Large-scale atmospheric patterns
1.2 Objectives and research questions
1.3 Thesis outline and author contribution
High spatial and temporal organization of changes inprecipitation over Germany for 1951–2006
2.1 Introduction
2.2 Data
2.3 Methods
2.3.1 Threshold between wet and dry days
2.3.2 Derivation of time series of precipitation characteristics
2.3.3 Trend analyses under consideration of temporal and spatial correlation
2.3.4 Visualization of results
2.4 Results and discussion
2.4.1 Changes in total precipitation
2.4.2 Changes in mean, variability, and heavy precipitation indicators
2.4.3 Transition probabilities
2.4.4 Seven-day precipitation amount with return period 100 years
2.5 Conclusions
Can local climate variability be explained by weatherpatterns? A multi-station evaluation for the Rhine basin
3.1 Introduction
3.2 Data
3.3 Methods
3.3.1 Weather pattern classification
3.3.2 Finding optimal classification parameters
3.3.3 Evaluation of classifications
3.4 Results
3.4.1 Stratification of local climate variables
3.4.2 Performance of GCMs
3.5 Discussion
3.5.1 On the optimal classification
3.5.2 On the skill of GCMs
3.6 Conclusions
3.7 Data availability
3.A Appendix
Do changing weather types explain observed climatictrends in the Rhine basin? An analysis of within andbetween-type changes
4.1 Introduction
4.2 Data and weather pattern classification
4.3 Methods
4.3.1 Relationship of WPs and large-scale circulation modes
4.3.2 Trend detection methods
4.3.3 Relative share of between- and within-type changes
4.4 Results
4.4.1 Attribution of WPs to large-scale circulation modes
4.4. 2Between-Type Changes
4.4.3 Within-Type Changes
4.4.4 Relative share of between- and within-type changes
4.5 Discussion and conclusions
4.A Appendix
4.S Supplementary
Discussion and conclusions
5.1 Main results
5.2 Discussion and directions for further research
5.2.1 Weather pattern classification for downscaling
5.2.2 Limitations for downscaling
5.3 Concluding remarks
Bibliography
