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Peter Pfleiderer

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Name	Peter Pfleiderer
Zeit	2017- (Wirkungsdaten)
Ort	Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dr. rer. agr.
Beruf	Geograf (charakteristischer Beruf) Klimatologe
Weitere Angaben	Promotion im Fach Geographie eingereicht an der Mathematisch-Naturwissenschaftlichen Fakultät der Humboldt-Universität zu Berlin 2022
Datensatztyp	Person
GND-Nummer	1262917905
Datensatz-ID	1262917905
Beteiligt an alle anzeigen Overconfidence in climate overshoot Introducing the MESMER-M-TPv0.1.0 module: Spatially Explicit Earth System Model Emulation for Monthly Precipitation and Temperature Extreme Atlantic hurricane seasons made twice as likely by ocean warming Increasing risks of apple tree frost damage under climate change Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature Robust predictors for seasonal Atlantic hurricane activity identified with causal effect networks Simulating compound weather extremes responsible for critical crop failure with stochastic weather generators Uncertainty in near-term temperature evolution must not obscure assessments of climate mitigation benefits Extreme Atlantic hurricane seasons made twice as likely by ocean warming Pathways of climate resilience over the 21st century Weather Extremes in a Warming Climate Extreme Atlantic hurricane seasons made more likely by ocean warming Simulating compound weather extremes responsible for critical crop failure with stochastic weather generators Robust Predictors for Seasonal Atlantic Hurricane Activity Identified with Causal Effect Networks Robust predictors for seasonal Atlantic hurricane activity identified with causal effect networks Increasing risks of apple tree frost damage under climate change Quantification of temperature persistence over the Northern Hemisphere land-area

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Peter Pfleiderer

Overconfidence in climate overshoot

Introducing the MESMER-M-TPv0.1.0 module: Spatially Explicit Earth System Model Emulation for Monthly Precipitation and Temperature

Extreme Atlantic hurricane seasons made twice as likely by ocean warming

Increasing risks of apple tree frost damage under climate change

Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature

Robust predictors for seasonal Atlantic hurricane activity identified with causal effect networks

Simulating compound weather extremes responsible for critical crop failure with stochastic weather generators

Uncertainty in near-term temperature evolution must not obscure assessments of climate mitigation benefits

Extreme Atlantic hurricane seasons made twice as likely by ocean warming

Pathways of climate resilience over the 21st century

Weather Extremes in a Warming Climate

Extreme Atlantic hurricane seasons made more likely by ocean warming

Simulating compound weather extremes responsible for critical crop failure with stochastic weather generators

Robust Predictors for Seasonal Atlantic Hurricane Activity Identified with Causal Effect Networks

Robust predictors for seasonal Atlantic hurricane activity identified with causal effect networks

Increasing risks of apple tree frost damage under climate change

Quantification of temperature persistence over the Northern Hemisphere land-area