@phdthesis{Aich2015,
  author    = {Aich, Valentin},
  title     = {Floods in the Niger River Basin in the face of global change},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-91577},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xxi, 275},
  year      = {2015},
  abstract  = {In the last decade, the number and dimensions of catastrophic flooding events in the Niger River Basin (NRB) have markedly increased. Despite the devastating impact of the floods on the population and the mainly agriculturally based economy of the riverine nations, awareness of the hazards in policy and science is still low. The urgency of this topic and the existing research deficits are the motivation for the present dissertation. The thesis is an initial detailed assessment of the increasing flood risk in the NRB. The research strategy is based on four questions regarding (1) features of the change in flood risk, (2) reasons for the change in the flood regime, (3) expected changes of the flood regime given climate and land use changes, and (4) recommendations from previous analysis for reducing the flood risk in the NRB. The question examining the features of change in the flood regime is answered by means of statistical analysis. Trend, correlation, changepoint, and variance analyses show that, in addition to the factors exposure and vulnerability, the hazard itself has also increased significantly in the NRB, in accordance with the decadal climate pattern of West Africa. The northern arid and semi-arid parts of the NRB are those most affected by the changes. As potential reasons for the increase in flood magnitudes, climate and land use changes are attributed by means of a hypothesis-testing framework. Two different approaches, based on either data analysis or simulation, lead to similar results, showing that the influence of climatic changes is generally larger compared to that of land use changes. Only in the dry areas of the NRB is the influence of land use changes comparable to that of climatic alterations. Future changes of the flood regime are evaluated using modelling results. First ensembles of statistically and dynamically downscaled climate models based on different emission scenarios are analyzed. The models agree with a distinct increase in temperature. The precipitation signal, however, is not coherent. The climate scenarios are used to drive an eco-hydrological model. The influence of climatic changes on the flood regime is uncertain due to the unclear precipitation signal. Still, in general, higher flood peaks are expected. In a next step, effects of land use changes are integrated into the model. Different scenarios show that regreening might help to reduce flood peaks. In contrast, an expansion of agriculture might enhance the flood peaks in the NRB. Similarly to the analysis of observed changes in the flood regime, the impacts of climate- and land use changes for the future scenarios are also most severe in the dry areas of the NRB. In order to answer the final research question, the results of the above analysis are integrated into a range of recommendations for science and policy on how to reduce flood risk in the NRB. The main recommendations include a stronger consideration of the enormous natural climate variability in the NRB and a focus on so called "no-regret" adaptation strategies which account for high uncertainty, as well as a stronger consideration of regional differences. Regarding the prevention and mitigation of catastrophic flooding, the most vulnerable and sensitive areas in the basin, the arid and semi-arid Sahelian and Sudano-Sahelian regions, should be prioritized. Eventually, an active, science-based and science-guided flood policy is recommended. The enormous population growth in the NRB in connection with the expected deterioration of environmental and climatic conditions is likely to enhance the region´s vulnerability to flooding. A smart and sustainable flood policy can help mitigate these negative impacts of flooding on the development of riverine societies in West Africa.},
  language  = {en}
}
@phdthesis{Grosse2005,
  author    = {Grosse, Guido},
  title     = {Characterisation and evolution of periglacial landscapes in Northern Siberia during the Late Quaternary : remote sensing and GIS studies},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-5544},
  school      = {Universit{\"a}t Potsdam},
  year      = {2005},
  abstract  = {About 24 \% of the land surface in the northern hemisphere are underlayed by permafrost in various states. Permafrost aggradation occurs under special environmental conditions with overall low annual precipitation rates and very low mean annual temperatures. Because the general permafrost occurrence is mainly driven by large-scale climatic conditions, the distribution of permafrost deposits can be considered as an important climate indicator. The region with the most extensive continuous permafrost is Siberia. In northeast Siberia, the ice- and organic-rich permafrost deposits of the Ice Complex are widely distributed. These deposits consist mostly of silty to fine-grained sandy sediments that were accumulated during the Late Pleistocene in an extensive plain on the then subaerial Laptev Sea shelf. One important precondition for the Ice Complex sedimentation was, that the Laptev Sea shelf was not glaciated during the Late Pleistocene, resulting in a mostly continuous accumulation of permafrost sediments for at least this period. This shelf landscape became inundated and eroded in large parts by the Holocene marine transgression after the Last Glacial Maximum. Remnants of this landscape are preserved only in the present day coastal areas. Because the Ice Complex deposits contain a wide variety of palaeo-environmental proxies, it is an excellent palaeo-climate archive for the Late Quaternary in the region. Furthermore, the ice-rich Ice Complex deposits are sensible to climatic change, i.e. climate warming. Because of the large-scale climatic changes at the transition from the Pleistocene to the Holocene, the Ice Complex was subject to extensive thermokarst processes since the Early Holocene. Permafrost deposits are not only an environmental indicator, but also an important climate factor. Tundra wetlands, which have developed in environments with aggrading permafrost, are considered a net sink for carbon, as organic matter is stored in peat or is syn-sedimentary frozen with permafrost aggradation. Contrary, the Holocene thermokarst development resulted in permafrost degradation and thus the release of formerly stored organic carbon. Modern tundra wetlands are also considered an important source for the climate-driving gas methane, originating mainly from microbial activity in the seasonal active layer. Most scenarios for future global climate development predict a strong warming trend especially in the Arctic. Consequently, for the understanding of how permafrost deposits will react and contribute to such scenarios, it is necessary to investigate and evaluate ice-rich permafrost deposits like the widespread Ice Complex as climate indicator and climate factor during the Late Quaternary. Such investigations are a pre-condition for the precise modelling of future developments in permafrost distribution and the influence of permafrost degradation on global climate. The focus of this work, which was conducted within the frame of the multi-disciplinary joint German-Russian research projects "Laptev Sea 2000" (1998-2002) and "Dynamics of Permafrost" (2003-2005), was twofold. First, the possibilities of using remote sensing and terrain modelling techniques for the observation of periglacial landscapes in Northeast Siberia in their present state was evaluated and applied to key sites in the Laptev Sea coastal lowlands. The key sites were situated in the eastern Laptev Sea (Bykovsky Peninsula and Khorogor Valley) and the western Laptev Sea (Cape Mamontovy Klyk region). For this task, techniques using CORONA satellite imagery, Landsat-7 satellite imagery, and digital elevation models were developed for the mapping of periglacial structures, which are especially indicative of permafrost degradation. The major goals were to quantify the extent of permafrost degradation structures and their distribution in the investigated key areas, and to establish techniques, which can be used also for the investigation of other regions with thermokarst occurrence. Geographical information systems were employed for the mapping, the spatial analysis, and the enhancement of classification results by rule-based stratification. The results from the key sites show, that thermokarst, and related processes and structures, completely re-shaped the former accumulation plain to a strongly degraded landscape, which is characterised by extensive deep depressions and erosional remnants of the Late Pleistocene surface. As a results of this rapid process, which in large parts happened within a short period during the Early Holocene, the hydrological and sedimentological regime was completely changed on a large scale. These events resulted also in a release of large amounts of organic carbon. Thermokarst is now the major component in the modern periglacial landscapes in terms of spatial extent, but also in its influence on hydrology, sedimentation and the development of vegetation assemblages. Second, the possibilities of using remote sensing and terrain modelling as a supplementary tool for palaeo-environmental reconstructions in the investigated regions were explored. For this task additionally a comprehensive cryolithological field database was developed for the Bykovsky Peninsula and the Khorogor Valley, which contains previously published data from boreholes, outcrops sections, subsurface samples, and subsurface samples, as well as additional own field data. The period covered by this database is mainly the Late Pleistocene and the Holocene, but also the basal deposits of the sedimentary sequence, interpreted as Pliocene to Early Pleistocene, are contained. Remote sensing was applied for the observation of periglacial strucures, which then were successfully related to distinct landscape development stages or time intervals in the investigation area. Terrain modelling was used for providing a general context of the landscape development. Finally, a scheme was developed describing mainly the Late Quaternary landscape evolution in this area. A major finding was the possibility of connecting periglacial surface structures to distinct landscape development stages, and thus use them as additional palaeo-environmental indicator together with other proxies for area-related palaeo-environmental reconstructions. In the landscape evolution scheme, i.e. of the genesis of the Late Pleistocene Ice Complex and the Holocene thermokarst development, some new aspects are presented in terms of sediment source and general sedimentation conditions. This findings apply also for other sites in the Laptev Sea region.},
  subject      = {Dauerfrostboden},
  language  = {en}
}
@phdthesis{Gudipudi2017,
  author    = {Gudipudi, Venkata Ramana},
  title     = {Cities and global sustainability},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-407113},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xxii, 101},
  year      = {2017},
  abstract  = {In the wake of 21st century, humanity witnessed a phenomenal raise of urban agglomerations as powerhouses for innovation and socioeconomic growth. Driving much of national (and in few instances even global) economy, such a gargantuan raise of cities is also accompanied by subsequent increase in energy, resource consumption and waste generation. Much of anthropogenic transformation of Earth's environment in terms of environmental pollution at local level to planetary scale in the form of climate change is currently taking place in cities. Projected to be crucibles for entire humanity by the end of this century, the ultimate fate of humanity predominantly lies in the hands of technological innovation, urbanites' attitudes towards energy/resource consumption and development pathways undertaken by current and future cities. Considering the unparalleled energy, resource consumption and emissions currently attributed to global cities, this thesis addresses these issues from an efficiency point of view. More specifically, this thesis addresses the influence of population size, density, economic geography and technology in improving urban greenhouse gas (GHG) emission efficiency and identifies the factors leading to improved eco-efficiency in cities. In order to investigate the in uence of these factors in improving emission and resource efficiency in cities, a multitude of freely available datasets were coupled with some novel methodologies and analytical approaches in this thesis. Merging the well-established Kaya Identity to the recently developed urban scaling laws, an Urban Kaya Relation is developed to identify whether large cities are more emission efficient and the intrinsic factors leading to such (in)efficiency. Applying Urban Kaya Relation to a global dataset of 61 cities in 12 countries, this thesis identifed that large cities in developed regions of the world will bring emission efficiency gains because of the better technologies implemented in these cities to produce and utilize energy consumption while the opposite is the case for cities in developing regions. Large cities in developing countries are less efficient mainly because of their affluence and lack of efficient technologies. Apart from the in uence of population size on emission efficiency, this thesis identified the crucial role played by population density in improving building and on-road transport sector related emission efficiency in cities. This is achieved by applying the City Clustering Algorithm (CCA) on two different gridded land use datasets and a standard emission inventory to attribute these sectoral emissions to all inhabited settlements in the USA. Results show that doubling the population density would entail a reduction in the total CO2 emissions in buildings and on-road sectors typically by at least 42 \%. Irrespective of their population size and density, cities are often blamed for their intensive resource consumption that threatens not only local but also global sustainability. This thesis merged the concept of urban metabolism with benchmarking and identified cities which are eco-efficient. These cities enable better socioeconomic conditions while being less burden to the environment. Three environmental burden indicators (annual average NO2 concentration, per capita waste generation and water consumption) and two socioeconomic indicators (GDP per capita and employment ratio) for 88 most populous European cities are considered in this study. Using two different non-parametric ranking methods namely regression residual ranking and Data Envelopment Analysis (DEA), eco-efficient cities and their determining factors are identified. This in-depth analysis revealed that mature cities with well-established economic structures such as Munich, Stockholm and Oslo are eco-efficient. Further, correlations between objective eco-efficiency ranking with each of the indicator rankings and the ranking of urbanites' subjective perception about quality of life are analyzed. This analysis revealed that urbanites' perception about quality of life is not merely confined to the socioeconomic well-being but rather to their combination with lower environmental burden. In summary, the findings of this dissertation has three general conclusions for improving emission and ecological efficiency in cities. Firstly, large cities in emerging nations face a huge challenge with respect to improving their emission efficiency. The task in front of these cities is threefold: (1) deploying efficient technologies for the generation of electricity and improvement of public transportation to unlock their leap frogging potential, (2) addressing the issue of energy poverty and (3) ensuring that these cities do not develop similar energy consumption patterns with infrastructure lock-in behavior similar to those of cities in developed regions. Secondly, the on-going urban sprawl as a global phenomenon will decrease the emission efficiency within the building and transportation sector. Therefore, local policy makers should identify adequate fiscal and land use policies to curb urban sprawl. Lastly, since mature cities with well-established economic structures are more eco-efficient and urbanites' perception re ects its combination with decreasing environmental burden; there is a need to adopt and implement strategies which enable socioeconomic growth in cities whilst decreasing their environment burden.},
  language  = {en}
}
@phdthesis{Holsten2013,
  author    = {Holsten, Anne},
  title     = {Climate change vulnerability assessments in the regional context},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-66836},
  school      = {Universit{\"a}t Potsdam},
  year      = {2013},
  abstract  = {Adapting sectors to new conditions under climate change requires an understanding of regional vulnerabilities. Conceptually, vulnerability is defined as a function of sensitivity and exposure, which determine climate impacts, and adaptive capacity of a system. Vulnerability assessments for quantifying these components have become a key tool within the climate change field. However, there is a disagreement on how to make the concept operational in studies from a scientific perspective. This conflict leads to many still unsolved challenges, especially regarding the quantification and aggregation of the components and their suitable level of complexity. This thesis therefore aims at advancing the scientific foundation of such studies by translating the concept of vulnerability into a systematic assessment structure. This includes all components and implies that for each considered impact (e.g. flash floods) a clear sensitive entity is defined (e.g. settlements) and related to a direction of change for a specific climatic stimulus (e.g. increasing impact due to increasing days with heavy precipitation). Regarding the challenging aggregation procedure, two alternative methods allowing a cross-sectoral overview are introduced and their advantages and disadvantages discussed. This assessment structure is subsequently exemplified for municipalities of the German state North Rhine-Westphalia via an indicator-based deductive approach using information from literature. It can be transferred also to other regions. As for many relevant sectors, suitable indicators to express the vulnerability components are lacking, new quantification methods are developed and applied in this thesis, for example for the forestry and health sector. A lack of empirical data on relevant thresholds is evident, for example which climatic changes would cause significant impacts. Consequently, the multi-sectoral study could only provide relative measures for each municipality, in relation to the region. To fill this gap, an exemplary sectoral study was carried out on windthrow impacts in forests to provide an absolute quantification of the present and future impact. This is achieved by formulating an empirical relation between the forest characteristics and damage based on data from a past storm event. The resulting measure indicating the sensitivity is then combined with wind conditions. Multi-sectoral vulnerability assessments require considerable resources, which often hinders the implementation. Thus, in a next step, the potential for reducing the complexity is explored. To predict forest fire occurrence, numerous meteorological indices are available, spanning over a range of complexity. Comparing their performance, the single variable relative humidity outperforms complex indicators for most German states in explaining the monthly fire pattern. This is the case albeit it is itself an input factor in most indices. Thus, this meteorological factor alone is well suited to evaluate forest fire danger in many Germany regions and allows a resource-efficient assessment. Similarly, the complexity of methods is assessed regarding the application of the ecohydrological model SWIM to the German region of Brandenburg. The inter-annual soil moisture levels simulated by this model can only poorly be represented by simpler statistical approach using the same input data. However, on a decadal time horizon, the statistical approach shows a good performance and a strong dominance of the soil characteristic field capacity. This points to a possibility to reduce the input factors for predicting long-term averages, but the results are restricted by a lack of empirical data on soil water for validation. The presented assessments of vulnerability and its components have shown that they are still a challenging scientific undertaking. Following the applied terminology, many problems arise when implementing it for regional studies. Advances in addressing shortcomings of previous studies have been made by constructing a new systematic structure for characterizing and aggregating vulnerability components. For this, multiple approaches were presented, but they have specific advantages and disadvantages, which should also be carefully considered in future studies. There is a potential to simplify some methods, but more systematic assessments on this are needed. Overall, this thesis strengthened the use of vulnerability assessments as a tool to support adaptation by enhancing their scientific basis.},
  language  = {en}
}
@phdthesis{Li2023,
  author    = {Li, Zhen},
  title     = {Formation of Sub-Permafrost Methane Hydrate Reproduced by Numerical Modeling},
  doi       = {10.25932/publishup-60330},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-603302},
  school      = {Universit{\"a}t Potsdam},
  pages     = {XII, 109},
  year      = {2023},
  abstract  = {Natural gas hydrates are ice-like crystalline compounds containing water cavities that trap natural gas molecules like methane (CH4), which is a potent greenhouse gas with high energy density. The Mallik site at the Mackenzie Delta in the Canadian Arctic contains a large volume of technically recoverable CH4 hydrate beneath the base of the permafrost. Understanding how the sub-permafrost hydrate is distributed can aid in searching for the ideal locations for deploying CH4 production wells to develop the hydrate as a cleaner alternative to crude oil or coal. Globally, atmospheric warming driving permafrost thaw results in sub-permafrost hydrate dissociation, releasing CH4 into the atmosphere to intensify global warming. It is therefore crucial to evaluate the potential risk of hydrate dissociation due to permafrost degradation. To quantitatively predict hydrate distribution and volume in complex sub-permafrost environments, a numerical framework was developed to simulate sub-permafrost hydrate formation by coupling the equilibrium CH4-hydrate formation approach with a fluid flow and transport simulator (TRANSPORTSE). In addition, integrating the equations of state describing ice melting and forming with TRANSPORTSE enabled this framework to simulate the permafrost evolution during the sub-permafrost hydrate formation. A modified sub-permafrost hydrate formation mechanism for the Mallik site is presented in this study. According to this mechanism, the CH4-rich fluids have been vertically transported since the Late Pleistocene from deep overpressurized zones via geologic fault networks to form the observed hydrate deposits in the Kugmallit-Mackenzie Bay Sequences. The established numerical framework was verified by a benchmark of hydrate formation via dissolved methane. Model calibration was performed based on laboratory data measured during a multi-stage hydrate formation experiment undertaken in the LArge scale Reservoir Simulator (LARS). As the temporal and spatial evolution of simulated and observed hydrate saturation matched well, the LARS model was therefore validated. This laboratory-scale model was then upscaled to a field-scale 2D model generated from a seismic transect across the Mallik site. The simulation confirmed the feasibility of the introduced sub-permafrost hydrate formation mechanism by demonstrating consistency with field observations. The 2D model was extended to the first 3D model of the Mallik site by using well-logs and seismic profiles, to investigate the geologic controls on the spatial hydrate distribution. An assessment of this simulation revealed the hydraulic contribution of each geological element, including relevant fault networks and sedimentary sequences. Based on the simulation results, the observed heterogeneous distribution of sub-permafrost hydrate resulted from the combined factors of the source-gas generation rate, subsurface temperature, and the permeability of geologic elements. Analysis of the results revealed that the Mallik permafrost was heated by 0.8-1.3 °C, induced by the global temperature increase of 0.44 °C and accelerated by Arctic amplification from the early 1970s to the mid-2000s. This study presents a numerical framework that can be applied to study the formation of the permafrost-hydrate system from laboratory to field scales, across timescales ranging from hours to millions of years. Overall, these simulations deepen the knowledge about the dominant factors controlling the spatial hydrate distribution in sub-permafrost environments with heterogeneous geologic elements. The framework can support improving the design of hydrate formation experiments and provide valuable contributions to future industrial hydrate exploration and exploitation activities.},
  language  = {en}
}
@phdthesis{Olonscheck2016,
  author    = {Olonscheck, Mady},
  title     = {Climate change impacts on electricity and residential energy demand},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-98378},
  school      = {Universit{\"a}t Potsdam},
  pages     = {XXIV, 127},
  year      = {2016},
  abstract  = {The energy sector is both affected by climate change and a key sector for climate protection measures. Energy security is the backbone of our modern society and guarantees the functioning of most critical infrastructure. Thus, decision makers and energy suppliers of different countries should be familiar with the factors that increase or decrease the susceptibility of their electricity sector to climate change. Susceptibility means socioeconomic and structural characteristics of the electricity sector that affect the demand for and supply of electricity under climate change. Moreover, the relevant stakeholders are supposed to know whether the given national energy and climate targets are feasible and what needs to be done in order to meet these targets. In this regard, a focus should be on the residential building sector as it is one of the largest energy consumers and therefore emitters of anthropogenic CO 2 worldwide. This dissertation addresses the first aspect, namely the susceptibility of the electricity sector, by developing a ranked index which allows for quantitative comparison of the electricity sector susceptibility of 21 European countries based on 14 influencing factors. Such a ranking has not been completed to date. We applied a sensitivity analysis to test the relative effect of each influencing factor on the susceptibility index ranking. We also discuss reasons for the ranking position and thus the susceptibility of selected countries. The second objective, namely the impact of climate change on the energy demand of buildings, is tackled by means of a new model with which the heating and cooling energy demand of residential buildings can be estimated. We exemplarily applied the model to Germany and the Netherlands. It considers projections of future changes in population, climate and the insulation standards of buildings, whereas most of the existing studies only take into account fewer than three different factors that influence the future energy demand of buildings. Furthermore, we developed a comprehensive retrofitting algorithm with which the total residential building stock can be modeled for the first time for each year in the past and future. The study confirms that there is no correlation between the geographical location of a country and its position in the electricity sector susceptibility ranking. Moreover, we found no pronounced pattern of susceptibility influencing factors between countries that ranked higher or lower in the index. We illustrate that Luxembourg, Greece, Slovakia and Italy are the countries with the highest electricity sector susceptibility. The electricity sectors of Norway, the Czech Republic, Portugal and Denmark were found to be least susceptible to climate change. Knowledge about the most important factors for the poor and good ranking positions of these countries is crucial for finding adequate adaptation measures to reduce the susceptibility of the electricity sector. Therefore, these factors are described within this study. We show that the heating energy demand of residential buildings will strongly decrease in both Germany and the Netherlands in the future. The analysis for the Netherlands focused on the regional level and a finer temporal resolution which revealed strong variations in the future heating energy demand changes by province and by month. In the German study, we additionally investigated the future cooling energy demand and could demonstrate that it will only slightly increase up to the middle of this century. Thus, increases in the cooling energy demand are not expected to offset reductions in heating energy demand. The main factor for substantial heating energy demand reductions is the retrofitting of buildings. We are the first to show that the given German and Dutch energy and climate targets in the building sector can only be met if the annual retrofitting rates are substantially increased. The current rate of only about 1 \% of the total building stock per year is insufficient for reaching a nearly zero-energy demand of all residential buildings by the middle of this century. To reach this target, it would need to be at least tripled. To sum up, this thesis emphasizes that country-specific characteristics are decisive for the electricity sector susceptibility of European countries. It also shows for different scenarios how much energy is needed in the future to heat and cool residential buildings. With this information, existing climate mitigation and adaptation measures can be justified or new actions encouraged.},
  language  = {en}
}
@phdthesis{Roers2016,
  author    = {Roers, Michael},
  title     = {Methoden zur Dynamisierung von Klimafolgenanalysen im Elbegebiet},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-98844},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xiii, 141},
  year      = {2016},
  abstract  = {Die Elbe und ihr Einzugsgebiet sind vom Klimawandel betroffen. Um die Wirkkette von projizierten Klimaver{\"a}nderungen auf den Wasserhaushalt und die daraus resultierenden N{\"a}hrstoffeintr{\"a}ge und -frachten f{\"u}r große Einzugsgebiete wie das der Elbe zu analysieren, k{\"o}nnen integrierte Umweltmodellsysteme eingesetzt werden. Fallstudien, die mit diesen Modellsystemen ad hoc durchgef{\"u}hrt werden, repr{\"a}sentieren den Istzustand von Modellentwicklungen und -unsicherheiten und sind damit statisch. Diese Arbeit beschreibt den Einstieg in die Dynamisierung von Klimafolgenanalysen im Elbegebiet. Dies umfasst zum einen eine Plausibilit{\"a}tspr{\"u}fung von Auswirkungsrechnungen, die mit Szenarien des statistischen Szenariengenerators STARS durchgef{\"u}hrt wurden, durch den Vergleich mit den Auswirkungen neuerer Klimaszenarien aus dem ISI-MIP Projekt, die dem letzten Stand der Klimamodellierung entsprechen. Hierf{\"u}r wird ein integriertes Modellsystem mit "eingefrorenem Entwicklungsstand" verwendet. Die Klimawirkungsmodelle bleiben dabei unver{\"a}ndert. Zum anderen wird ein Bestandteil des integrierten Modellsystems - das {\"o}kohydrologische Modell SWIM - zu einer "live"-Version weiterentwickelt. Diese wird durch punktuelle Testung an langj{\"a}hrigen Versuchsreihen eines Lysimeterstandorts sowie an aktuellen Abflussreihen validiert und verbessert. Folgende Forschungsfragen werden bearbeitet: (i) Welche Effekte haben unterschiedliche Klimaszenarien auf den Wasserhaushalt im Elbegebiet und ist eine Neubewertung der Auswirkung des Klimawandels auf den Wasserhaushalt notwendig?, (ii) Was sind die Auswirkungen des Klimawandels auf die N{\"a}hrstoffeintr{\"a}ge und -frachten im Elbegebiet sowie die Wirksamkeit von Maßnahmen zur Reduktion der N{\"a}hrstoffeintr{\"a}ge?, (iii) Ist unter der Nutzung (selbst einer sehr geringen Anzahl) verf{\"u}gbarer tagesaktueller Witterungsdaten in einem stark heterogenen Einzugsgebiet eine valide Ansprache der aktuellen {\"o}kohydrologischen Situation des Elbeeinzugsgebiets m{\"o}glich? Die aktuellen Szenarien best{\"a}tigen die Richtung, jedoch nicht das Ausmaß der Klimafolgen: Die R{\"u}ckg{\"a}nge des mittleren j{\"a}hrlichen Gesamtabflusses und der monatlichen Abfl{\"u}sse an den Pegeln bis Mitte des Jahrhunderts betragen f{\"u}r das STARS-Szenario ca. 30 \%. Die R{\"u}ckg{\"a}nge bei den auf dem ISI-MIP-Szenario basierenden Modellstudien liegen hingegen nur bei ca. 10 \%. Hauptursachen f{\"u}r diese Divergenz sind die Unterschiede in den Niederschlagsprojektionen sowie die Unterschiede in der jahreszeitlichen Verteilung der Erw{\"a}rmung. Im STARS-Szenario gehen methodisch bedingt die Niederschl{\"a}ge zur{\"u}ck und der Winter erw{\"a}rmt sich st{\"a}rker als der Sommer. In dem ISI-MIP-Szenario bleiben die Niederschl{\"a}ge nahezu stabil und die Erw{\"a}rmung im Sommer und Winter unterscheidet sich nur geringf{\"u}gig. Generell nehmen die N{\"a}hrstoffeintr{\"a}ge und -frachten mit den Abfl{\"u}ssen in beiden Szenarien unterproportional ab, wobei die Frachten jeweils st{\"a}rker als die Eintr{\"a}ge zur{\"u}ckgehen. Die konkreten Effekte der Abfluss{\"a}nderungen sind gering und liegen im einstelligen Prozentbereich. Gleiches gilt f{\"u}r die Unterschiede zwischen den Szenarien. Der Effekt von zwei ausgew{\"a}hlten Maßnahmen zur Reduktion der N{\"a}hrstoffeintr{\"a}ge und -frachten unterscheidet sich bei verschiedenen Abflussverh{\"a}ltnissen, repr{\"a}sentiert durch unterschiedliche Klimaszenarien in unterschiedlich feuchter Auspr{\"a}gung, ebenfalls nur geringf{\"u}gig. Die Beantwortung der ersten beiden Forschungsfragen zeigt, dass die Aktualisierung von Klimaszenarien in einem ansonsten "eingefrorenen" Verbund von {\"o}kohydrologischen Daten und Modellen eine wichtige Pr{\"u}foption f{\"u}r die Plausibilisierung von Klimafolgenanalysen darstellt. Sie bildet die methodische Grundlage f{\"u}r die Schlussfolgerung, dass bei der Wassermenge eine Neubewertung der Klimafolgen notwendig ist, w{\"a}hrend dies bei den N{\"a}hrstoffeintr{\"a}gen und -frachten nicht der Fall ist. Die zur Beantwortung der dritten Forschungsfrage mit SWIM-live durchgef{\"u}hrten Validierungsstudien ergeben Diskrepanzen am Lysimeterstandort und bei den Abfl{\"u}ssen aus den Teilgebieten Saale und Spree. Sie lassen sich zum Teil mit der notwendigen Interpolationsweite der Witterungsdaten und dem Einfluss von Wasserbewirtschaftungsmaßnahmen erkl{\"a}ren. Insgesamt zeigen die Validierungsergebnisse, dass schon die Pilotversion von SWIM-live f{\"u}r eine {\"o}kohydrologische Ansprache des Gebietswasserhaushaltes im Elbeeinzugsgebiet genutzt werden kann. SWIM-live erm{\"o}glicht eine unmittelbare Betrachtung und Beurteilung simulierter Daten. Dadurch werden Unsicherheiten bei der Modellierung direkt offengelegt und k{\"o}nnen infolge dessen reduziert werden. Zum einen f{\"u}hrte die Verdichtung der meteorologischen Eingangsdaten durch die Verwendung von nun ca. 700 anstatt 19 Klima- bzw. Niederschlagstationen zu einer Verbesserung der Ergebnisse. Zum anderen wurde SWIM-live beispielhaft f{\"u}r einen Zyklus aus punktueller Modellverbesserung und fl{\"a}chiger {\"U}berpr{\"u}fung der Simulationsergebnisse genutzt. Die einzelnen Teilarbeiten tragen jeweils zur Dynamisierung von Klimafolgenanalysen im Elbegebiet bei. Der Anlass hierf{\"u}r war durch die fehlerhaften methodischen Grundlagen von STARS gegeben. Die Sinnf{\"a}lligkeit der Dynamisierung ist jedoch nicht an diesen konkreten Anlass gebunden, sondern beruht auf der grundlegenden Einsicht, dass Ad-hoc-Szenarienanalysen immer auch pragmatische Vereinfachungen zugrunde liegen, die fortlaufend {\"u}berpr{\"u}ft werden m{\"u}ssen.},
  language  = {de}
}
@phdthesis{Scherler2010,
  author    = {Scherler, Dirk},
  title     = {Climate variability and glacial dynamics in the Himalaya},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-49871},
  school      = {Universit{\"a}t Potsdam},
  year      = {2010},
  abstract  = {In den Hochgebirgen Asiens bedecken Gletscher eine Fl{\"a}che von ungef{\"a}hr 115,000 km² und ergeben damit, neben Gr{\"o}nland und der Antarktis, eine der gr{\"o}ßten Eisakkumulationen der Erde. Die Sensibilit{\"a}t der Gletscher gegen{\"u}ber Klimaschwankungen macht sie zu wertvollen pal{\"a}oklimatischen Archiven in Hochgebirgen, aber gleichzeitig auch anf{\"a}llig gegen{\"u}ber rezenter und zuk{\"u}nftiger globaler Erw{\"a}rmung. Dies kann vor allem in dicht besiedelten Gebieten S{\"u}d-, Ost- und Zentralasiens zu großen Problem f{\"u}hren, in denen Gletscher- und Schnee-Schmelzw{\"a}sser eine wichtige Ressource f{\"u}r Landwirtschaft und Stromerzeugung darstellen. Eine erfolgreiche Prognose des Gletscherverhaltens in Reaktion auf den Klimawandel und die Minderung der sozio{\"o}konomischen Auswirkungen erfordert fundierte Kenntnisse der klimatischen Steuerungsfaktoren und der Dynamik asiatischer Gletscher. Aufgrund ihrer Abgeschiedenheit und dem erschwerten Zugang gibt es nur wenige glaziologische Gel{\"a}ndestudien, die zudem r{\"a}umlich und zeitlich sehr begrenzt sind. Daher fehlen bisher grundlegende Informationen {\"u}ber die Mehrzahl asiatischer Gletscher. In dieser Arbeit benutze ich verschiedene Methoden, um die Dynamik asiatischer Gletscher auf mehreren Zeitskalen zu untersuchen. Erstens teste ich eine Methode zur pr{\"a}zisen satelliten-gest{\"u}tzten Messung von Gletscheroberfl{\"a}chen-Geschwindigkeiten. Darauf aufbauend habe ich eine umfassende regionale Erhebung der Fliessgeschwindigkeiten und Frontdynamik asiatischer Gletscher f{\"u}r die Jahre 2000 bis 2008 durchgef{\"u}hrt. Der gewonnene Datensatz erlaubt einmalige Einblicke in die topographischen und klimatischen Steuerungsfaktoren der Gletscherfließgeschwindigkeiten in den Gebirgsregionen Hochasiens. Insbesondere dokumentieren die Daten rezent ungleiches Verhalten der Gletscher im Karakorum und im Himalaja, welches ich auf die konkurrierenden klimatischen Einfl{\"u}sse der Westwinddrift im Winter und des Indischen Monsuns im Sommer zur{\"u}ckf{\"u}hre. Zweitens untersuche ich, ob klimatisch bedingte Ost-West Unterschiede im Gletscherverhalten auch auf l{\"a}ngeren Zeitskalen eine Rolle spielen und gegebenenfalls f{\"u}r dokumentierte regional asynchrone Gletschervorst{\"o}ße relevant sind. Dazu habe ich mittels kosmogener Nuklide Oberfl{\"a}chenalter von erratischen Bl{\"o}cken auf Mor{\"a}nen ermittelt und eine glaziale Chronologie f{\"u}r das obere Tons Tal, in den Quellgebieten des Ganges, erstellt. Dieses Gebiet befindet sich in der {\"U}bergangszone von monsunaler zu Westwind beeinflusster Feuchtigkeitszufuhr und ist damit ideal gelegen, um die Auswirkungen dieser beiden atmosph{\"a}rischen Zirkulationssysteme auf Gletschervorst{\"o}ße zu untersuchen. Die ermittelte glaziale Chronologie dokumentiert mehrere Gletscherschwankungen w{\"a}hrend des Endstadiums der letzten Pleistoz{\"a}nen Vereisung und w{\"a}hrend des Holz{\"a}ns. Diese weisen darauf hin, dass Gletscherschwankungen im westlichen Himalaja weitestgehend synchron waren und auf graduelle glaziale-interglaziale Temperaturver{\"a}nderungen, {\"u}berlagert von monsunalen Niederschlagsschwankungen h{\"o}herer Frequenz, zur{\"u}ck zu f{\"u}hren sind. In einem dritten Schritt kombiniere ich Satelliten-Klimadaten mit Eisfluss-Absch{\"a}tzungen und topographischen Analysen, um den Einfluss der Gletscher Hochasiens auf die Reliefentwicklung im Hochgebirge zu untersuchen. Die Ergebnisse dokumentieren ausgepr{\"a}gte meridionale Unterschiede im Grad und im Stil der Vergletscherung und glazialen Erosion in Abh{\"a}ngigkeit von topographischen und klimatischen Faktoren. Gegens{\"a}tzlich zu bisherigen Annahmen deuten die Daten darauf hin, dass das monsunale Klima im zentralen Himalaja die glaziale Erosion schw{\"a}cht und durch den Erhalt einer steilen orographischen Barriere das Tibet Plateau vor lateraler Zerschneidung bewahrt. Die Ergebnisse dieser Arbeit dokumentieren, wie klimatische und topographische Gradienten die Gletscherdynamik in den Hochgebirgen Asiens auf Zeitskalen von 10^0 bis 10^6 Jahren beeinflussen. Die Reaktionszeit der Gletscher auf Klimaver{\"a}nderungen sind eng an Eigenschaften wie Schuttbedeckung und Neigung gekoppelt, welche ihrerseits von den topographischen Verh{\"a}ltnissen bedingt sind. Derartige Einflussfaktoren m{\"u}ssen bei pal{\"a}oklimatischen Rekonstruktion und Vorhersagen {\"u}ber die Entwicklung asiatischer Gletscher ber{\"u}cksichtigt werden. Desweiteren gehen die regionalen topographischen Unterschiede der vergletscherten Gebiete Asiens teilweise auf klimatische Gradienten und den langfristigen Einfluss der Gletscher auf die topographische Entwicklung des Gebirgssystems zur{\"u}ck.},
  language  = {en}
}
@phdthesis{Smith2018,
  author    = {Smith, Taylor},
  title     = {Decadal changes in the snow regime of High Mountain Asia, 1987-2016},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-407120},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xiii, 142},
  year      = {2018},
  abstract  = {More than a billion people rely on water from rivers sourced in High Mountain Asia (HMA), a significant portion of which is derived from snow and glacier melt. Rural communities are heavily dependent on the consistency of runoff, and are highly vulnerable to shifts in their local environment brought on by climate change. Despite this dependence, the impacts of climate change in HMA remain poorly constrained due to poor process understanding, complex terrain, and insufficiently dense in-situ measurements. HMA's glaciers contain more frozen water than any region outside of the poles. Their extensive retreat is a highly visible and much studied marker of regional and global climate change. However, in many catchments, snow and snowmelt represent a much larger fraction of the yearly water budget than glacial meltwaters. Despite their importance, climate-related changes in HMA's snow resources have not been well studied. Changes in the volume and distribution of snowpack have complex and extensive impacts on both local and global climates. Eurasian snow cover has been shown to impact the strength and direction of the Indian Summer Monsoon -- which is responsible for much of the precipitation over the Indian Subcontinent -- by modulating earth-surface heating. Shifts in the timing of snowmelt have been shown to limit the productivity of major rangelands, reduce streamflow, modify sediment transport, and impact the spread of vector-borne diseases. However, a large-scale regional study of climate impacts on snow resources had yet to be undertaken. Passive Microwave (PM) remote sensing is a well-established empirical method of studying snow resources over large areas. Since 1987, there have been consistent daily global PM measurements which can be used to derive an estimate of snow depth, and hence snow-water equivalent (SWE) -- the amount of water stored in snowpack. The SWE estimation algorithms were originally developed for flat and even terrain -- such as the Russian and Canadian Arctic -- and have rarely been used in complex terrain such as HMA. This dissertation first examines factors present in HMA that could impact the reliability of SWE estimates. Forest cover, absolute snow depth, long-term average wind speeds, and hillslope angle were found to be the strongest controls on SWE measurement reliability. While forest density and snow depth are factors accounted for in modern SWE retrieval algorithms, wind speed and hillslope angle are not. Despite uncertainty in absolute SWE measurements and differences in the magnitude of SWE retrievals between sensors, single-instrument SWE time series were found to be internally consistent and suitable for trend analysis. Building on this finding, this dissertation tracks changes in SWE across HMA using a statistical decomposition technique. An aggregate decrease in SWE was found (10.6 mm/yr), despite large spatial and seasonal heterogeneities. Winter SWE increased in almost half of HMA, despite general negative trends throughout the rest of the year. The elevation distribution of these negative trends indicates that while changes in SWE have likely impacted glaciers in the region, climate change impacts on these two pieces of the cryosphere are somewhat distinct. Following the discussion of relative changes in SWE, this dissertation explores changes in the timing of the snowmelt season in HMA using a newly developed algorithm. The algorithm is shown to accurately track the onset and end of the snowmelt season (70\% within 5 days of a control dataset, 89\% within 10). Using a 29-year time series, changes in the onset, end, and duration of snowmelt are examined. While nearly the entirety of HMA has experienced an earlier end to the snowmelt season, large regions of HMA have seen a later start to the snowmelt season. Snowmelt periods have also decreased in almost all of HMA, indicating that the snowmelt season is generally shortening and ending earlier across HMA. By examining shifts in both the spatio-temporal distribution of SWE and the timing of the snowmelt season across HMA, we provide a detailed accounting of changes in HMA's snow resources. The overall trend in HMA is towards less SWE storage and a shorter snowmelt season. However, long-term and regional trends conceal distinct seasonal, temporal, and spatial heterogeneity, indicating that changes in snow resources are strongly controlled by local climate and topography, and that inter-annual variability plays a significant role in HMA's snow regime.},
  language  = {en}
}
@phdthesis{Waha2012,
  author    = {Waha, Katharina},
  title     = {Climate change impacts on agricultural vegetation in sub-Saharan Africa},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-64717},
  school      = {Universit{\"a}t Potsdam},
  year      = {2012},
  abstract  = {Agriculture is one of the most important human activities providing food and more agricultural goods for seven billion people around the world and is of special importance in sub-Saharan Africa. The majority of people depends on the agricultural sector for their livelihoods and will suffer from negative climate change impacts on agriculture until the middle and end of the 21st century, even more if weak governments, economic crises or violent conflicts endanger the countries' food security. The impact of temperature increases and changing precipitation patterns on agricultural vegetation motivated this thesis in the first place. Analyzing the potentials of reducing negative climate change impacts by adapting crop management to changing climate is a second objective of the thesis. As a precondition for simulating climate change impacts on agricultural crops with a global crop model first the timing of sowing in the tropics was improved and validated as this is an important factor determining the length and timing of the crops´ development phases, the occurrence of water stress and final crop yield. Crop yields are projected to decline in most regions which is evident from the results of this thesis, but the uncertainties that exist in climate projections and in the efficiency of adaptation options because of political, economical or institutional obstacles have to be considered. The effect of temperature increases and changing precipitation patterns on crop yields can be analyzed separately and varies in space across the continent. Southern Africa is clearly the region most susceptible to climate change, especially to precipitation changes. The Sahel north of 13° N and parts of Eastern Africa with short growing seasons below 120 days and limited wet season precipitation of less than 500 mm are also vulnerable to precipitation changes while in most other part of East and Central Africa, in contrast, the effect of temperature increase on crops overbalances the precipitation effect and is most pronounced in a band stretching from Angola to Ethiopia in the 2060s. The results of this thesis confirm the findings from previous studies on the magnitude of climate change impact on crops in sub-Saharan Africa but beyond that helps to understand the drivers of these changes and the potential of certain management strategies for adaptation in more detail. Crop yield changes depend on the initial growing conditions, on the magnitude of climate change, and on the crop, cropping system and adaptive capacity of African farmers which is only now evident from this comprehensive study for sub-Saharan Africa. Furthermore this study improves the representation of tropical cropping systems in a global crop model and considers the major food crops cultivated in sub-Saharan Africa and climate change impacts throughout the continent.},
  language  = {en}
}