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    • Task Force Wildfires in Australia 2019/2020
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    • Task Force Pluvial Fooding in Berlin 2017 and 2019
    • Task Force Randi Forest Land degradation 2017
    • Task Force Kumamoto Earthquake 2016
    • Task Force Braunsbach Flash flood 2016
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  • DFG - Research Training Group "NatRiskChange"
  • About
  • PhD Projects - Second cohort
About
  • Research Program
    • Workpackage I
    • Workpackage Q
    • Workpackage P
  • PhD Projects - First cohort
    • Project I1: Natural hazards in a changing climate – What causes the variability?
    • Project I2: Study of transient periods in natural and in induced seismicity
    • Project I3: Towards non-ergodic, time dependent, ground-motion models
    • Project I4: Changing Risk from Glacial Lake Outburst Floods
    • Project Q1: Regional flood hazard changes from a space-time recurrence perspective
    • Project Q2: Complex network analysis based on event synchronization of natural hazards
    • Project Q3: Understanding drivers of changing susceptibility of flood-prone residents
    • Project Q4: Analysing changes in micro-scale flood related vulnerability of companies
    • Project P1: Landslide Prediction under Changing Boundary Conditions
    • Project P2: Transient merging of two Rhine flow regimes from climate change
    • Project P3: Spatio-temporal response of extreme precipitation to climate change and decadal climate variability
    • Project P4: Assessment of early-warning signals and tipping points of sudden ecosystem shifts causing rapid land degradation in drylands
  • PhD Projects - Second cohort
    • Project I5: Changes in European windstorm characteristics
    • Project I6: Detecting time-depending forcing of seismicity
    • Project I7: Time dependent monitoring of active faults and landslides properties: developing new data processing approaches based on music information retrieval (MIR) strategies
    • Project I8: Learning landslide triggers from complex networks
    • Project I9: Analysis of concurrent climate extremes driving land degradation and recovery in the Mediterranean regions
    • Project Q5: Recurrence analysis of event-like hydrological data with uncertainties
    • Project Q6: Investigation of interrelationships between floods and climate variability using multi-layer complex networks
    • Project Q7: Changes of vulnerability in respect to flood induced business interruption
    • Project Q8: Evolving Risks from Himalayan Glacial Outburst Floods
    • Project P5: Altered hydrological and sediment event dynamics in high alpine areas
    • Project P6: Linking occurrence probabilities to large scale flow
    • Project P7: Adaptation to flood risk - from quantification to prediction
  • PhD Projects - Third cohort
    • Project I10: Point process modelling of induced seismicity
    • Project I11: Propagation of subglacial floods
    • Project I12: Spatiotemporal signature of extreme rainfall under climate change
    • Project I13: Multiple flood experience and social resilience
    • Project Q9: The effect of meteorological hazards on dynamics of vulnerability
    • Project Q10: Impact of extreme events on topological robustness of interdependent infrastructure networks
    • Project Q11: Quantifying the contributions of hazard, exposure and vulnerability changes to flood damage trends
    • Project Q12: Contribution of wind and topography on wildfire hazard
    • Project Q13: Quantifying changes in exposure, vulnerabilities and risks of pluvial and fluvial floods
    • Project P8: Changing water and energy regimes for key alpine surface conditions
    • Project P9: Introducing big-data and crowdsourcing to seismic hazard assessment
    • Project P10: Predicting large landslides in a changing climate
    • Project X1: Analysis of the extreme flood event of July 2021
  • Postdoc projects
    • Machine learning applications
    • Multi-hazard and risk assessment
  • Job opportunities
  • News articles about NatRiskChange
  • Research Program
    • Workpackage I
    • Workpackage Q
    • Workpackage P
  • PhD Projects - First cohort
    • Project I1: Natural hazards in a changing climate – What causes the variability?
    • Project I2: Study of transient periods in natural and in induced seismicity
    • Project I3: Towards non-ergodic, time dependent, ground-motion models
    • Project I4: Changing Risk from Glacial Lake Outburst Floods
    • Project Q1: Regional flood hazard changes from a space-time recurrence perspective
    • Project Q2: Complex network analysis based on event synchronization of natural hazards
    • Project Q3: Understanding drivers of changing susceptibility of flood-prone residents
    • Project Q4: Analysing changes in micro-scale flood related vulnerability of companies
    • Project P1: Landslide Prediction under Changing Boundary Conditions
    • Project P2: Transient merging of two Rhine flow regimes from climate change
    • Project P3: Spatio-temporal response of extreme precipitation to climate change and decadal climate variability
    • Project P4: Assessment of early-warning signals and tipping points of sudden ecosystem shifts causing rapid land degradation in drylands
  • PhD Projects - Second cohort
    • Project I5: Changes in European windstorm characteristics
    • Project I6: Detecting time-depending forcing of seismicity
    • Project I7: Time dependent monitoring of active faults and landslides properties: developing new data processing approaches based on music information retrieval (MIR) strategies
    • Project I8: Learning landslide triggers from complex networks
    • Project I9: Analysis of concurrent climate extremes driving land degradation and recovery in the Mediterranean regions
    • Project Q5: Recurrence analysis of event-like hydrological data with uncertainties
    • Project Q6: Investigation of interrelationships between floods and climate variability using multi-layer complex networks
    • Project Q7: Changes of vulnerability in respect to flood induced business interruption
    • Project Q8: Evolving Risks from Himalayan Glacial Outburst Floods
    • Project P5: Altered hydrological and sediment event dynamics in high alpine areas
    • Project P6: Linking occurrence probabilities to large scale flow
    • Project P7: Adaptation to flood risk - from quantification to prediction
  • PhD Projects - Third cohort
    • Project I10: Point process modelling of induced seismicity
    • Project I11: Propagation of subglacial floods
    • Project I12: Spatiotemporal signature of extreme rainfall under climate change
    • Project I13: Multiple flood experience and social resilience
    • Project Q9: The effect of meteorological hazards on dynamics of vulnerability
    • Project Q10: Impact of extreme events on topological robustness of interdependent infrastructure networks
    • Project Q11: Quantifying the contributions of hazard, exposure and vulnerability changes to flood damage trends
    • Project Q12: Contribution of wind and topography on wildfire hazard
    • Project Q13: Quantifying changes in exposure, vulnerabilities and risks of pluvial and fluvial floods
    • Project P8: Changing water and energy regimes for key alpine surface conditions
    • Project P9: Introducing big-data and crowdsourcing to seismic hazard assessment
    • Project P10: Predicting large landslides in a changing climate
    • Project X1: Analysis of the extreme flood event of July 2021
  • Postdoc projects
    • Machine learning applications
    • Multi-hazard and risk assessment
  • Job opportunities
  • News articles about NatRiskChange

PhD projects of the second cohort (since 2018)

Project I5: Changes in European windstorm characteristics

Christian Passow, FU Berlin

Project I6: Detecting time-depending forcing of seismicity

Shubham Sharma, Universität Potsdam

Project I7: Time dependent monitoring of active faults and landslides properties

Reza Dokht Dolatabadi Esfahani, GFZ Potsdam

Project I8: Learning landslide triggers from inventory data

Lisa Luna, Universität Potsdam

Project I9: Analysis of concurrent climate extremes driving land degradation and recovery

Johannes Vogel, TU Berlin

Project Q5: Recurrence analysis of event-like hydrological data with uncertainties

Abhirup Banerjee, PIK Potsdam

Project Q6: Interrelationships between floods and climate variability using complex networks

Matthias Kemter, GFZ Potsdam

Project Q7: Changes of vulnerability in respect to flood induced business interruption

Lukas Schoppa, GFZ Potsdam

Project Q8: Evolving risks from Himalayan glacial outburst floods

Melanie Fischer, Universität Potsdam

Project P5: Altered hydrological and sediment event dynamics in high alpine areas

Lena Katharina Schmidt, Universität Potsdam

Project P6: Linking occurrence probabilities to large scale flow

Jana Ulrich, FU Berlin

Project P7: Adaptation to flood risk - from quantification to prediction

Lisa Berghäuser, Universität Potsdam

Last changed: 20.11.2019, Dr. rer. nat. Theresia Petrow

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