@phdthesis{NickeltCzycykowski2008,
  author    = {Nickelt-Czycykowski, Iliya Peter},
  title     = {Aktive Regionen der Sonnenoberfl{\"a}che und ihre zeitliche Variation in zweidimensionaler Spektro-Polarimetrie},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-25524},
  school      = {Universit{\"a}t Potsdam},
  year      = {2008},
  abstract  = {Die Arbeit beschreibt die Analyse von Beobachtungen zweier Sonnenflecken in zweidimensionaler Spektro-Polarimetrie. Die Daten wurden mit dem Fabry-P{\´e}rot-Interferometer der Universit{\"a}t G{\"o}ttingen am Vakuum-Turm-Teleskop auf Teneriffa erfasst. Von der aktiven Region NOAA 9516 wurde der volle Stokes-Vektor des polarisierten Lichts in der Absorptionslinie bei 630,249 nm in Einzelaufnahmen beobachtet, und von der aktiven Region NOAA 9036 wurde bei 617,3 nm Wellenl{\"a}nge eine 90-min{\"u}tige Zeitserie des zirkular polarisierten Lichts aufgezeichnet. Aus den reduzierten Daten werden Ergebniswerte f{\"u}r Intensit{\"a}t, Geschwindigkeit in Beobachtungsrichtung, magnetische Feldst{\"a}rke sowie verschiedene weitere Plasmaparameter abgeleitet. Mehrere Ans{\"a}tze zur Inversion solarer Modellatmosph{\"a}ren werden angewendet und verglichen. Die teilweise erheblichen Fehlereinfl{\"u}sse werden ausf{\"u}hrlich diskutiert. Das Frequenzverhalten der Ergebnisse und Abh{\"a}ngigkeiten nach Ort und Zeit werden mit Hilfe der Fourier- und Wavelet-Transformation weiter analysiert. Als Resultat l{\"a}sst sich die Existenz eines hochfrequenten Bandes f{\"u}r Geschwindigkeitsoszillationen mit einer zentralen Frequenz von 75 Sekunden (13 mHz) best{\"a}tigen. In gr{\"o}ßeren photosph{\"a}rischen H{\"o}hen von etwa 500 km entstammt die Mehrheit der damit zusammenh{\"a}ngenden Schockwellen den dunklen Anteilen der Granulen, im Unterschied zu anderen Frequenzbereichen. Die 75-Sekunden-Oszillationen werden ebenfalls in der aktiven Region beobachtet, vor allem in der Lichtbr{\"u}cke. In den identifizierten B{\"a}ndern oszillatorischer Power der Geschwindigkeit sind in einer dunklen, penumbralen Struktur sowie in der Lichtbr{\"u}cke ausgepr{\"a}gte Strukturen erkennbar, die sich mit einer Horizontalgeschwindigkeit von 5-8 km/s in die ruhige Sonne bewegen. Diese zeigen einen deutlichen Anstieg der Power, vor allem im 5-Minuten-Band, und stehen m{\"o}glicherweise in Zusammenhang mit dem Ph{\"a}nomen der „Evershed-clouds". Eingeschr{\"a}nkt durch ein sehr geringes Signal-Rausch-Verh{\"a}ltnis und hohe Fehlereinfl{\"u}sse werden auch Magnetfeldvariationen mit einer Periode von sechs Minuten am {\"U}bergang von Umbra zu Penumbra in der N{\"a}he einer Lichtbr{\"u}cke beobachtet. Um die beschriebenen Resultate zu erzielen, wurden bestehende Visualisierungsverfahren der Frequenzanalyse verbessert oder neu entwickelt, insbesondere f{\"u}r Ergebnisse der Wavelet-Transformation.},
  language  = {de}
}
@article{ThiekenApelMerz2015,
  author    = {Thieken, Annegret and Apel, Heiko and Merz, Bruno},
  title     = {Assessing the probability of large-scale flood loss events: a case study for the river Rhine, Germany},
  series = {Journal of flood risk management},
  volume    = {8},
  journal   = {Journal of flood risk management},
  number    = {3},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {1753-318X},
  doi       = {10.1111/jfr3.12091},
  pages     = {247 -- 262},
  year      = {2015},
  abstract  = {Flood risk analyses are often estimated assuming the same flood intensity along the river reach under study, i.e. discharges are calculated for a number of return periods T, e.g. 10 or 100 years, at several streamflow gauges. T-year discharges are regionalised and then transferred into T-year water levels, inundated areas and impacts. This approach assumes that (1) flood scenarios are homogeneous throughout a river basin, and (2) the T-year damage corresponds to the T-year discharge. Using a reach at the river Rhine, this homogeneous approach is compared with an approach that is based on four flood types with different spatial discharge patterns. For each type, a regression model was created and used in a Monte-Carlo framework to derive heterogeneous scenarios. Per scenario, four cumulative impact indicators were calculated: (1) the total inundated area, (2) the exposed settlement and industrial areas, (3) the exposed population and 4) the potential building loss. Their frequency curves were used to establish a ranking of eight past flood events according to their severity. The investigation revealed that the two assumptions of the homogeneous approach do not hold. It tends to overestimate event probabilities in large areas. Therefore, the generation of heterogeneous scenarios should receive more attention.},
  language  = {en}
}
@article{KellermannBubeckKundelaetal.2016,
  author    = {Kellermann, Patric and Bubeck, Philip and Kundela, Guenther and Dosio, Alessandro and Thieken, Annegret},
  title     = {Frequency Analysis of Critical Meteorological Conditions in a Changing ClimateAssessing Future Implications for Railway Transportation in Austria},
  series = {Climate : open access journal},
  volume    = {4},
  journal   = {Climate : open access journal},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2225-1154},
  doi       = {10.3390/cli4020025},
  pages     = {914 -- 931},
  year      = {2016},
  abstract  = {Meteorological extreme events have great potential for damaging railway infrastructure and posing risks to the safety of train passengers. In the future, climate change will presumably have serious implications on meteorological hazards in the Alpine region. Hence, attaining insights on future frequencies of meteorological extremes with relevance for the railway operation in Austria is required in the context of a comprehensive and sustainable natural hazard management plan of the railway operator. In this study, possible impacts of climate change on the frequencies of so-called critical meteorological conditions (CMCs) between the periods 1961-1990 and 2011-2040 are analyzed. Thresholds for such CMCs have been defined by the railway operator and used in its weather monitoring and early warning system. First, the seasonal climate change signals for air temperature and precipitation in Austria are described on the basis of an ensemble of high-resolution Regional Climate Model (RCM) simulations for Europe. Subsequently, the RCM-ensemble was used to investigate changes in the frequency of CMCs. Finally, the sensitivity of results is analyzed with varying threshold values for the CMCs. Results give robust indications for an all-season air temperature rise, but show no clear tendency in average precipitation. The frequency analyses reveal an increase in intense rainfall events and heat waves, whereas heavy snowfall and cold days are likely to decrease. Furthermore, results indicate that frequencies of CMCs are rather sensitive to changes of thresholds. It thus emphasizes the importance to carefully define, validate, andif neededto adapt the thresholds that are used in the weather monitoring and warning system of the railway operator. For this, continuous and standardized documentation of damaging events and near-misses is a pre-requisite.},
  language  = {en}
}
@misc{KellermannBubeckKundelaetal.2017,
  author    = {Kellermann, Patric and Bubeck, Philip and Kundela, G{\"u}nther and Dosio, Alessandro and Thieken, Annegret},
  title     = {Frequency analysis of critical meteorological conditions in a changing climate},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-400505},
  pages     = {19},
  year      = {2017},
  abstract  = {Meteorological extreme events have great potential for damaging railway infrastructure and posing risks to the safety of train passengers. In the future, climate change will presumably have serious implications on meteorological hazards in the Alpine region. Hence, attaining insights on future frequencies of meteorological extremes with relevance for the railway operation in Austria is required in the context of a comprehensive and sustainable natural hazard management plan of the railway operator. In this study, possible impacts of climate change on the frequencies of so-called critical meteorological conditions (CMCs) between the periods 1961-1990 and 2011-2040 are analyzed. Thresholds for such CMCs have been defined by the railway operator and used in its weather monitoring and early warning system. First, the seasonal climate change signals for air temperature and precipitation in Austria are described on the basis of an ensemble of high-resolution Regional Climate Model (RCM) simulations for Europe. Subsequently, the RCM-ensemble was used to investigate changes in the frequency of CMCs. Finally, the sensitivity of results is analyzed with varying threshold values for the CMCs. Results give robust indications for an all-season air temperature rise, but show no clear tendency in average precipitation. The frequency analyses reveal an increase in intense rainfall events and heat waves, whereas heavy snowfall and cold days are likely to decrease. Furthermore, results indicate that frequencies of CMCs are rather sensitive to changes of thresholds. It thus emphasizes the importance to carefully define, validate, andif neededto adapt the thresholds that are used in the weather monitoring and warning system of the railway operator. For this, continuous and standardized documentation of damaging events and near-misses is a pre-requisite.},
  language  = {en}
}