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Person

Jakob Runge

Physiker

Name	Jakob Runge
Ort	Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dr. rer. nat.
Beruf	Physiker (charakteristischer Beruf)
Variante	Jakob Gerhard Bernhard Runge Jakob G.B. Runge
Beziehung	Technische Universität Berlin German Aerospace Center Jena
Weitere Angaben	Diss. Humboldt-Univ. Berlin 2014
Quelle	Vorlage
Datensatztyp	Person
GND-Nummer	105789530X
Datensatz-ID	105789530X
Beteiligt an alle anzeigen Pushing the frontiers in climate modelling and analysis with machine learning Changing effects of external forcing on Atlantic–Pacific interactions Causal discovery in practice: Non-parametric conditional independence testing and tooling for causal discovery Changing effects of external forcing on Atlantic–Pacific interactions Publisher Correction: Causal inference for time series Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6 Parallel execution of causal structure learning on graphics processing units Regime-oriented causal model evaluation of Atlantic-Pacific teleconnections in CMIP6 Functional convergence of biosphere–atmosphere interactions in response to meteorological conditions Dominant patterns of interaction between the tropics and mid-latitudes in boreal summer: Causal relationships and the role of time-scales Dominant patterns of interaction between the tropics and mid-latitudes in boreal summer: causal relationships and the role of timescales Inferring causation from time series in Earth system sciences Common solar wind drivers behind magnetic storm–magnetospheric substorm dependency Detecting and quantifying causality from time series of complex systems : how information theory can help in discovering interaction mechanisms in the climate system

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Katalog der Deutschen Nationalbibliothek

Jakob Runge

Pushing the frontiers in climate modelling and analysis with machine learning

Changing effects of external forcing on Atlantic–Pacific interactions

Causal discovery in practice: Non-parametric conditional independence testing and tooling for causal discovery

Changing effects of external forcing on Atlantic–Pacific interactions

Publisher Correction: Causal inference for time series

Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6

Parallel execution of causal structure learning on graphics processing units

Regime-oriented causal model evaluation of Atlantic-Pacific teleconnections in CMIP6

Functional convergence of biosphere–atmosphere interactions in response to meteorological conditions

Dominant patterns of interaction between the tropics and mid-latitudes in boreal summer: Causal relationships and the role of time-scales

Dominant patterns of interaction between the tropics and mid-latitudes in boreal summer: causal relationships and the role of timescales

Inferring causation from time series in Earth system sciences

Common solar wind drivers behind magnetic storm–magnetospheric substorm dependency

Detecting and quantifying causality from time series of complex systems : how information theory can help in discovering interaction mechanisms in the climate system