@phdthesis{Zhou2014,
  author    = {Zhou, Xu},
  title     = {Atmospheric interactions with land surface in the arctic based on regional climate model solutions},
  pages     = {143},
  year      = {2014},
  language  = {en}
}
@phdthesis{Zhang2021,
  author    = {Zhang, Heshou},
  title     = {Magnetic fields in the universe},
  school      = {Universit{\"a}t Potsdam},
  pages     = {vi, 107},
  year      = {2021},
  abstract  = {The galactic interstellar medium is magnetized and turbulent. The magnetic field and turbulence play important roles in many astrophysical mechanisms, including cosmic ray transport, star formation, etc. Therefore, measurements of magnetic field and turbulence information are crucial for the proper interpretation of astronomical observations. Nonetheless, the magnetic field observation is quite challenging, especially, there is not universal magnetic tracer for diffuse medium. Moreover, the modelling of turbulence can be oversimplified due to the lack of observational tools to diagnose the plasma properties of the turbulence in the galactic interstellar medium. The studies presented in this thesis have addressed these challenges by bridging the theoretical studies of magnetic field and turbulence with numerical simulations and observations. The following research are presented in this thesis. The first observational evidence of the novel magnetic tracer, ground state alignment (GSA), is discovered, revealing the three-dimensional magnetic field as well as 2 orders of magnitude higher precision comparing to previous observational study in the stellar atmosphere of the post-AGB 89 Herculis. Moreover, the application of GSA in the sub-millimeter fine-structure lines is comprehensively studied for different elements and with magnetohydrodynamic simulations. Furthermore, the influence of GSA effect on the spectroscopy is analyzed and it is found that measurable variation will be produced on the spectral line intensity and the line ratio without accounting for the optical pumping process or magnetic field. Additionally, a novel method to measure plasma modes in the interstellar medium, Signatures from Polarization Analysis (SPA), is proposed and applied to real observations. Magneto-sonic modes are discovered in different types of interstellar medium. An explanation is provided for the long-standing mystery, the origin of γ-ray enhanced emission "Cygnus Cocoon", based on the comparison between the outcome of SPA and multi-waveband observational data. These novel methods have strong potentials for broader observational applications and will play crucial roles in future multi-wavelength astronomy.},
  language  = {en}
}
@phdthesis{Zakharova2012,
  author    = {Zakharova, Anna},
  title     = {Bifurcations in deterministic and stochastic systems and applications to biology},
  address   = {Potsdam},
  pages     = {VI, 69 S.},
  year      = {2012},
  language  = {en}
}
@phdthesis{Winkelmann2012,
  author    = {Winkelmann, Ricarda},
  title     = {The future sea-level contribution from antartica: projections of solid ice discharge},
  address   = {Potsdam},
  pages     = {140 S.},
  year      = {2012},
  language  = {en}
}
@phdthesis{Willner2018,
  author    = {Willner, Sven N.},
  title     = {Global economic response to flood damages under climate change},
  school      = {Universit{\"a}t Potsdam},
  pages     = {v, 247},
  year      = {2018},
  abstract  = {Climate change affects societies across the globe in various ways. In addition to gradual changes in temperature and other climatic variables, global warming is likely to increase intensity and frequency of extreme weather events. Beyond biophysical impacts, these also directly affect societal and economic activity. Additionally, indirect effects can occur; spatially, economic losses can spread along global supply-chains; temporally, climate impacts can change the economic development trajectory of countries. This thesis first examines how climate change alters river flood risk and its local socio-economic implications. Then, it studies the global economic response to river floods in particular, and to climate change in general. Changes in high-end river flood risk are calculated for the next three decades on a global scale with high spatial resolution. In order to account for uncertainties, this assessment makes use of an ensemble of climate and hydrological models as well as a river routing model, that is found to perform well regarding peak river discharge. The results show an increase in high-end flood risk in many parts of the world, which require profound adaptation efforts. This pressure to adapt is measured as the enhancement in protection level necessary to stay at historical high-end risk. In developing countries as well as in industrialized regions, a high pressure to adapt is observed - the former to increase low protection levels, the latter to maintain the low risk levels perceived in the past. Further in this thesis, the global agent-based dynamic supply-chain model acclimate is developed. It models the cascading of indirect losses in the global supply network. As an anomaly model its agents - firms and consumers - maximize their profit locally to respond optimally to local perturbations. Incorporating quantities as well as prices on a daily basis, it is suitable to dynamically resolve the impacts of unanticipated climate extremes. The model is further complemented by a static measure, which captures the inter-dependencies between sectors across regions that are only connected indirectly. These higher-order dependencies are shown to be important for a comprehensive assessment of loss-propagation and overall costs of local disasters. In order to study the economic response to river floods, the acclimate model is driven by flood simulations. Within the next two decades, the increase in direct losses can only partially be compensated by market adjustments, and total losses are projected to increase by 17\% without further adaptation efforts. The US and the EU are both shown to receive indirect losses from China, which is strongly affected directly. However, recent trends in the trade relations leave the EU in a better position to compensate for these losses. Finally, this thesis takes a broader perspective when determining the investment response to the climate change damages employing the integrated assessment model DICE. On an optimal economic development path, the increase in damages is anticipated as emissions and consequently temperatures increase. This leads to a significant devaluation of investment returns and the income losses from climate damages almost double. Overall, the results highlight the need to adapt to extreme weather events - local physical adaptation measures have to be combined with regional and global policy measures to prepare the global supply-chain network to climate change.},
  language  = {en}
}
@phdthesis{Wessel2005,
  author    = {Wessel, Niels},
  title     = {Data analysis and modeling of the cardiovascular system},
  address   = {Potsdam},
  pages     = {Getr. Z{\"a}hlung : graph. Darst.},
  year      = {2005},
  language  = {en}
}
@phdthesis{Wenz2016,
  author    = {Wenz, Leonie},
  title     = {Climate change impacts in an increasingly connected world},
  school      = {Universit{\"a}t Potsdam},
  pages     = {279},
  year      = {2016},
  language  = {en}
}
@phdthesis{Wambsganss1998,
  author    = {Wambsganß, Joachim},
  title     = {Gravitational lensing as a universal astrophysical tool},
  pages     = {201 S.},
  year      = {1998},
  language  = {en}
}
@phdthesis{Wagner2009,
  author    = {Wagner, Christian},
  title     = {Probes of dark energy using cosmological simulations},
  address   = {Potsdam},
  pages     = {VII, 151 S. : graph. Darst.},
  year      = {2009},
  language  = {en}
}
@phdthesis{Wagle2019,
  author    = {Wagle, Swapnil},
  title     = {Multi scale modeling of SNARE-mimetic peptides for their applications in membrane fusion},
  pages     = {105},
  year      = {2019},
  language  = {en}
}
@phdthesis{Voronina2007,
  author    = {Voronina, Olena},
  title     = {Structure-property relations in polymer ferroelectrets},
  address   = {Potsdam},
  pages     = {IV, 145 S., IV : graph. Darst.},
  year      = {2007},
  language  = {en}
}
@phdthesis{Verma2013,
  author    = {Verma, Meetu},
  title     = {The evolution and decay of sunspots : a hight-resolution study of flows and magnetic fields in and around sunspots},
  address   = {Potsdam},
  pages     = {112 S.},
  year      = {2013},
  language  = {en}
}
@phdthesis{Velk2022,
  author    = {Velk, Natalia},
  title     = {Investigation of the interaction of lysozyme with poly(l-lysine)/hyaluronic acid multilayers},
  school      = {Universit{\"a}t Potsdam},
  pages     = {85},
  year      = {2022},
  language  = {en}
}
@phdthesis{Velagapudi2008,
  author    = {Velagapudi, Rama Krishna},
  title     = {Preparation and characterization of thermally stable guest-host polymer thin films for non-linear optical applications},
  address   = {Potsdam},
  pages     = {viii, 112 S.: Ill., graph. Darst.},
  year      = {2008},
  language  = {en}
}
@phdthesis{Velagapudi2008,
  author    = {Velagapudi, Rama Krishna},
  title     = {Preparation and characterization of thermally stable guest-host Polymer thin films for non-lunear optical applications},
  address   = {Potsdam},
  pages     = {111 S., i-viii, : graph. Darst.},
  year      = {2008},
  language  = {en}
}
@phdthesis{ValenciaMolina2006,
  author    = {Valencia Molina, Sergio},
  title     = {Element-selective study of charge localization processes in manganite thin films},
  address   = {Potsdam},
  pages     = {155 S. : graph. Darst.},
  year      = {2006},
  language  = {en}
}
@phdthesis{Valade2023,
  author    = {Valade, Aurelien Niels Valentin},
  title     = {Unveiling the Local Universe},
  school      = {Universit{\"a}t Potsdam},
  pages     = {X, 102},
  year      = {2023},
  language  = {en}
}
@phdthesis{Totz2018,
  author    = {Totz, Sonja Juliana},
  title     = {Modeling and data analysis of large-scale atmosphere dynamics associated with extreme weather},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xii, 166},
  year      = {2018},
  abstract  = {In the last decades the frequency and intensity of extreme weather events like heat waves and heavy rainfall have increased and are at least partly linked to global warming. These events can have a strong impact on agricultural and economic production and, thereby, on society. Thus, it is important to improve our understanding of the physical processes leading to those extreme events in order to provide accurate near-term and long-term forecasts. Thermodynamic drivers associated with global warming are well understood, but dynamical aspects of the atmosphere much less so. The dynamical aspects, while less important than the thermodynamic drivers in regards to large-scale and long-time averaged effects, play a critical role in the formation of extremes. The overall aim of this thesis is to improve our understanding of patterns, variability and trends in the global atmospheric circulation under a changing climate. In particular, in this dissertation I developed two new data-driven methods to quantitatively describe the dynamics of jet streams, Hadley cells and storm tracks. In addition, I introduce and validate a new statistical-dynamical atmosphere model that can be used to efficiently model the large-scale circulation. First, I developed a scheme based on the Dijkstra 'shortest-path' algorithm to identify jet stream cores. Using reanalysis data, I found a significant change in jet stream strength and position over the last decades: Specifically, a decrease in wind speeds and a spatial shift toward the poles. This work also shows that the splitting or merging of the polar front jet stream and the subtropical jet stream depends on the season and longitudinal position. In a follow-up study, I analyzed trends in the latitudinal position of the poleward edge of the Hadley cell and subtropical jet stream core for all longitudes. These trends depend strongly on longitude and thus the impacts of tropical expansion might be pronounced in some regions and absent in others. The second approach was to develop an empirical forecast method for European and Mediterranean winter precipitation. This prediction algorithm innovatively incorporates the spatial patterns of predictors in autumn using clustering analyses. I identified the most important precursors (snow cover in Eurasia, Barents and Kara sea ice concentrations as well as sea surface temperature in the Atlantic and Mediterranean region) for the precipitation prediction. This forecast algorithm had higher forecast skills than conventionally employed methods such as Canonical Correlation Analysis or operational systems using climate models. The last approach was to examine the atmospheric circulation using the novel statisticaldynamical atmosphere model Aeolus. First, I validated the model's depiction of the largescale circulation in terms of Hadley circulation, jet streams, storm tracks and planetary waves. To do so, I performed a parameter optimization using simulated annealing. Next, I investigated the sensitivity of the large-scale circulation to three different temperature components: global mean temperature, meridional temperature gradient and zonal temperature gradient. The model experiment showed that the strength of the Hadley cell, storm tracks and jet streams depend almost linearly on both the global mean temperature and the meridional temperature gradient, whereas the zonal temperature gradient is shown to have little or no influence. The magnitude of planetary waves is clearly affected by all three temperature components. Finally, the width of the Hadley cell behaves nonlinearly with respect to all three temperature components. These findings might have profound consequences for climate modeling of the Mediterranean region. The latitudinal poleward trend of the Hadley cell edge position might become stronger under climate change according to the results with Aeolus. These changes would lead to a substantial reduction of the winter precipitation in the Mediterranean region. In this case seasonal empirical forecast methods, like the clustering-based prediction scheme, will play an important role for forecasting seasonal droughts in advance such that water managers and politicians can mitigate impacts.},
  language  = {en}
}
@phdthesis{Titz2002,
  author    = {Titz, Sven Holger},
  title     = {Bifurcations of oceanic overturning and convection in conceptual models of the thermohaline circulation},
  pages     = {85 S.},
  year      = {2002},
  language  = {en}
}
@phdthesis{Thapa2020,
  author    = {Thapa, Samudrajit},
  title     = {Deciphering anomalous diffusion in complex systems using Bayesian inference and large deviation theory},
  pages     = {xx, 186},
  year      = {2020},
  abstract  = {The development of methods such as super-resolution microscopy (Nobel prize in Chemistry, 2014) and multi-scale computer modelling (Nobel prize in Chemistry, 2013) have provided scientists with powerful tools to study microscopic systems. Sub-micron particles or even fluorescently labelled single molecules can now be tracked for long times in a variety of systems such as living cells, biological membranes, colloidal solutions etc. at spatial and temporal resolutions previously inaccessible. Parallel to such single-particle tracking experiments, super-computing techniques enable simulations of large atomistic or coarse-grained systems such as biologically relevant membranes or proteins from picoseconds to seconds, generating large volume of data. These have led to an unprecedented rise in the number of reported cases of anomalous diffusion wherein the characteristic features of Brownian motion—namely linear growth of the mean squared displacement with time and the Gaussian form of the probability density function (PDF) to find a particle at a given position at some fixed time—are routinely violated. This presents a big challenge in identifying the underlying stochastic process and also estimating the corresponding parameters of the process to completely describe the observed behaviour. Finding the correct physical mechanism which leads to the observed dynamics is of paramount importance, for example, to understand the first-arrival time of transcription factors which govern gene regulation, or the survival probability of a pathogen in a biological cell post drug administration. Statistical Physics provides useful methods that can be applied to extract such vital information. This cumulative dissertation, based on five publications, focuses on the development, implementation and application of such tools with special emphasis on Bayesian inference and large deviation theory. Together with the implementation of Bayesian model comparison and parameter estimation methods for models of diffusion, complementary tools are developed based on different observables and large deviation theory to classify stochastic processes and gather pivotal information. Bayesian analysis of the data of micron-sized particles traced in mucin hydrogels at different pH conditions unveiled several interesting features and we gained insights into, for example, how in going from basic to acidic pH, the hydrogel becomes more heterogeneous and phase separation can set in, leading to observed non-ergodicity (non-equivalence of time and ensemble averages) and non-Gaussian PDF. With large deviation theory based analysis we could detect, for instance, non-Gaussianity in seeming Brownian diffusion of beads in aqueous solution, anisotropic motion of the beads in mucin at neutral pH conditions, and short-time correlations in climate data. Thus through the application of the developed methods to biological and meteorological datasets crucial information is garnered about the underlying stochastic processes and significant insights are obtained in understanding the physical nature of these systems.},
  language  = {en}
}