Christian L E Franzke
Biographic Data
| ID | 6817778 |
|---|---|
| NAME | Christian L E Franzke |
| GIVEN NAMES | Christian L E |
| FAMILY NAME | Franzke |
| SIGNATURE | FRANZKE C L E |
| AFFILIATIONS | Pusan National University |
| ORCID | 0000-0003-4111-1228 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Forced response and internal variability changes in the hydrological cycle and general circulation in a hot world beyond 2100 in the Community Earth System Model
Climate change affects both the mean state and its variability. Hence, the decomposition of climate variability into a forced response and internal variability is essential to understand climate change. Especially how the hydrological cycle will change is still uncertain. Here, we use ensemble simulations to elucidate the forced response and internal variability changes in a hot world beyond 2100 in the Community Earth System Model version 2. We …
Unveiling the role of tropical Pacific on the emergence of ice-free Arctic projections
The observed sea ice concentration (SIC) over the Arctic has receded substantially in recent decades, and future model projections predict a seasonally ice-free Arctic in the second half of this century. Nevertheless, the impact of the Pacific on Arctic sea ice projections has yet to receive much attention. Observations show that summertime Arctic SIC growth events are related to the weakening of the Aleutian low and cooling events over the equat…
Future Projections of Heat Mortality Risk for Major European Cities
Over the last few decades heat waves have intensified and have led to excess mortality. While the probability of being affected by heat stress has significantly increased, the risk of heat mortality is rarely quantified. This quantification of heat mortality risk is necessary for systematic adaptation measures. Furthermore, heat mortality records are sparse and short, which presents a challenge for assessing heat mortality risk for future climate…
Global risks of infectious disease outbreaks and its relation to climate
Infectious disease outbreaks are recurring events which can lead to a large number of fatalities every year. Infectious disease outbreaks occur infrequently and the role of global warming and modes of climate variability for those outbreaks is not clear. Here we use an extreme value statistics approach to examine annual spatially aggregated infectious disease fatality data to compute their probability to occur using generalized Pareto distributio…
Perspectives on tipping points in integrated models of the natural and human Earth system: Cascading effects and telecoupling
The Earth system and the human system are intrinsically linked. Anthropogenic greenhouse gas emissions have led to the climate crisis, which is causing unprecedented extreme events and could trigger Earth system tipping elements. Physical and social forces can lead to tipping points and cascading effects via feedbacks and telecoupling, but the current generation of climate-economy models do not generally take account of these interactions and fee…
Towards the development of economic damage functions for weather and climate extremes
An Agent-Based Approach to Integrated Assessment Modelling of Climate Change
There is an ongoing discussion concerning the relationship between social welfare and climate change, and thus the required level and type of measures needed to protect the climate. Integrated assessment models (IAMs) have been extended to incorporate technological progress, heterogeneity and uncertainty, making use of a (stochastic) dynamic equilibrium approach in order to derive a solution. According to the literature, the IAM class of models d…
Stochastic climate theory and modeling
Stochastic methods are a crucial area in contemporary climate research and are increasingly being used in comprehensive weather and climate prediction models as well as reduced order climate models. Stochastic methods are used as subgrid‐scale parameterizations (SSPs) as well as for model error representation, uncertainty quantification, data assimilation, and ensemble prediction. The need to use stochastic approaches in weather and climate model…
Stochastic climate theory and modeling
Stochastic methods are a crucial area in contemporary climate research and are increasingly being used in comprehensive weather and climate prediction models as well as reduced order climate models. Stochastic methods are used as subgrid‐scale parameterizations (SSPs) as well as for model error representation, uncertainty quantification, data assimilation, and ensemble prediction. The need to use stochastic approaches in weather and climate model…
Stochastic climate theory and modeling
Stochastic methods are a crucial area in contemporary climate research and are increasingly being used in comprehensive weather and climate prediction models as well as reduced order climate models. Stochastic methods are used as subgrid‐scale parameterizations (SSPs) as well as for model error representation, uncertainty quantification, data assimilation, and ensemble prediction. The need to use stochastic approaches in weather and climate model…
An Agent-Based Approach to Integrated Assessment Modelling of Climate Change
There is an ongoing discussion concerning the relationship between social welfare and climate change, and thus the required level and type of measures needed to protect the climate. Integrated assessment models (IAMs) have been extended to incorporate technological progress, heterogeneity and uncertainty, making use of a (stochastic) dynamic equilibrium approach in order to derive a solution. According to the literature, the IAM class of models d…
Future Projections of Heat Mortality Risk for Major European Cities
Over the last few decades heat waves have intensified and have led to excess mortality. While the probability of being affected by heat stress has significantly increased, the risk of heat mortality is rarely quantified. This quantification of heat mortality risk is necessary for systematic adaptation measures. Furthermore, heat mortality records are sparse and short, which presents a challenge for assessing heat mortality risk for future climate…
Global risks of infectious disease outbreaks and its relation to climate
Infectious disease outbreaks are recurring events which can lead to a large number of fatalities every year. Infectious disease outbreaks occur infrequently and the role of global warming and modes of climate variability for those outbreaks is not clear. Here we use an extreme value statistics approach to examine annual spatially aggregated infectious disease fatality data to compute their probability to occur using generalized Pareto distributio…
Perspectives on tipping points in integrated models of the natural and human Earth system: Cascading effects and telecoupling
The Earth system and the human system are intrinsically linked. Anthropogenic greenhouse gas emissions have led to the climate crisis, which is causing unprecedented extreme events and could trigger Earth system tipping elements. Physical and social forces can lead to tipping points and cascading effects via feedbacks and telecoupling, but the current generation of climate-economy models do not generally take account of these interactions and fee…
Towards the development of economic damage functions for weather and climate extremes
Unveiling the role of tropical Pacific on the emergence of ice-free Arctic projections
The observed sea ice concentration (SIC) over the Arctic has receded substantially in recent decades, and future model projections predict a seasonally ice-free Arctic in the second half of this century. Nevertheless, the impact of the Pacific on Arctic sea ice projections has yet to receive much attention. Observations show that summertime Arctic SIC growth events are related to the weakening of the Aleutian low and cooling events over the equat…
Forced response and internal variability changes in the hydrological cycle and general circulation in a hot world beyond 2100 in the Community Earth System Model
Climate change affects both the mean state and its variability. Hence, the decomposition of climate variability into a forced response and internal variability is essential to understand climate change. Especially how the hydrological cycle will change is still uncertain. Here, we use ensemble simulations to elucidate the forced response and internal variability changes in a hot world beyond 2100 in the Community Earth System Model version 2. We …
Climate change (7 works) · Ecology (6 works) · Geography (6 works) · Climate model (5 works) · Economics (5 works) · Climatology (4 works) · Econometrics (4 works) · Environmental Science (4 works) · Biology (3 works) · Climate variability and models (3 works)