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Wissensnetz

Person

Niklas Boers

Physiker

Name	Niklas Boers
Ort	Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dr. rer. nat. (Humboldt-Univ. Berlin Diss. 2015)
Beruf	Physiker (charakteristischer Beruf)
Variante	Niklas Felix Boers
Beziehung	Potsdam-Institut für Klimafolgenforschung TUM School of Engineering and Design (2021-)
Weitere Angaben	Promotion Berlin, Humboldt-Universität, 2015
Quelle	Vorlage
Datensatztyp	Person
GND-Nummer	1072570262
Datensatz-ID	1072570262
Beteiligt an alle anzeigen Collaboration between artificial intelligence and Earth science communities for mutual benefit Key propagation pathways of extreme precipitation events revealed by climate networks Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook No critical slowing down in the Atlantic Overturning Circulation in historical CMIP6 simulations Author Correction: Reliability of vegetation resilience estimates depends on biomass density Publisher Correction: Remotely sensing potential climate change tipping points across scales Critical transitions in the Amazon forest system Remotely sensing potential climate change tipping points across scales Tipping point detection and early warnings in climate, ecological, and human systems Uncertainties in critical slowing down indicators of observation-based fingerprints of the Atlantic Overturning Circulation A potential collapse of the Atlantic Meridional Overturning Circulation may stabilise eastern Amazonian rainforests Propagation pathways of Indo-Pacific rainfall extremes are modulated by Pacific sea surface temperatures Reliability of vegetation resilience estimates depends on biomass density Tipping Point Detection and Early-Warnings in climate, ecological, and human systems Differentiable programming for Earth system modeling Reliability of resilience estimation based on multi-instrument time series Analysis of a bistable climate toy model with physics-based machine learning methods Complex network approach for detecting tropical cyclones Impact of an AMOC weakening on the stability of the southern Amazon rainforest Past abrupt climate change : Dansgaard–Oeschger events from the perspective of dynamical systems and uncertainty-sensitive inference Prediction of extreme precipitation events: combining process-based with machine learning models Reliability of resilience estimation based on multi-instrument time series Differentiable Programming for Earth System Modeling Pronounced loss of Amazon rainforest resilience since the early 2000s An early-warning indicator for Amazon droughts exclusively based on tropical Atlantic sea surface temperatures An emergent machine learning approach for seasonal cyclone activity forecasts Complex systems approaches for Earth system data analysis General scaling of maximum degree of synchronization in noisy complex networks Interconnection between the Indian and the East Asian summer monsoon: Spatial synchronization patterns of extreme rainfall events Long-term ENSO prediction with echo-state networks Neural partial differential equations for chaotic systems Complex network approach for detecting tropical cyclones Impact of an AMOC weakening on the stability of the southern Amazon rainforest Variability of the low-level circulation of the South American Monsoon analysed with complex networks Analysis of a bistable climate toy model with physics-based machine learning methods Reconstructing complex system dynamics from time series: a method comparison Higher resilience to climatic disturbances in tropical vegetation exposed to more variable rainfall Complex networks reveal global pattern of extreme-rainfall teleconnections Abrupt transitions in time series with uncertainties An early-warning indicator for Amazon droughts exclusively based on tropical Atlantic sea surface temperatures Early-warning signals for Dansgaard-Oeschger events in a high-resolution ice core record Abrupt transitions in time series with uncertainties Phase coherence between precipitation in South America and Rossby waves Temporal evolution of the spatial covariability of rainfall in South America Complex network analysis of extreme rainfall in South America

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Katalog der Deutschen Nationalbibliothek

Niklas Boers

Collaboration between artificial intelligence and Earth science communities for mutual benefit

Key propagation pathways of extreme precipitation events revealed by climate networks

Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook

No critical slowing down in the Atlantic Overturning Circulation in historical CMIP6 simulations

Author Correction: Reliability of vegetation resilience estimates depends on biomass density

Publisher Correction: Remotely sensing potential climate change tipping points across scales

Critical transitions in the Amazon forest system

Remotely sensing potential climate change tipping points across scales

Tipping point detection and early warnings in climate, ecological, and human systems

Uncertainties in critical slowing down indicators of observation-based fingerprints of the Atlantic Overturning Circulation

A potential collapse of the Atlantic Meridional Overturning Circulation may stabilise eastern Amazonian rainforests

Propagation pathways of Indo-Pacific rainfall extremes are modulated by Pacific sea surface temperatures

Reliability of vegetation resilience estimates depends on biomass density

Tipping Point Detection and Early-Warnings in climate, ecological, and human systems

Differentiable programming for Earth system modeling

Reliability of resilience estimation based on multi-instrument time series

Analysis of a bistable climate toy model with physics-based machine learning methods

Complex network approach for detecting tropical cyclones

Impact of an AMOC weakening on the stability of the southern Amazon rainforest

Past abrupt climate change : Dansgaard–Oeschger events from the perspective of dynamical systems and uncertainty-sensitive inference

Prediction of extreme precipitation events: combining process-based with machine learning models

Reliability of resilience estimation based on multi-instrument time series

Differentiable Programming for Earth System Modeling

Pronounced loss of Amazon rainforest resilience since the early 2000s

An early-warning indicator for Amazon droughts exclusively based on tropical Atlantic sea surface temperatures

An emergent machine learning approach for seasonal cyclone activity forecasts

Complex systems approaches for Earth system data analysis

General scaling of maximum degree of synchronization in noisy complex networks

Interconnection between the Indian and the East Asian summer monsoon: Spatial synchronization patterns of extreme rainfall events

Long-term ENSO prediction with echo-state networks

Neural partial differential equations for chaotic systems

Complex network approach for detecting tropical cyclones

Impact of an AMOC weakening on the stability of the southern Amazon rainforest

Variability of the low-level circulation of the South American Monsoon analysed with complex networks

Analysis of a bistable climate toy model with physics-based machine learning methods

Reconstructing complex system dynamics from time series: a method comparison

Higher resilience to climatic disturbances in tropical vegetation exposed to more variable rainfall

Complex networks reveal global pattern of extreme-rainfall teleconnections

Abrupt transitions in time series with uncertainties

An early-warning indicator for Amazon droughts exclusively based on tropical Atlantic sea surface temperatures

Early-warning signals for Dansgaard-Oeschger events in a high-resolution ice core record

Abrupt transitions in time series with uncertainties

Phase coherence between precipitation in South America and Rossby waves

Temporal evolution of the spatial covariability of rainfall in South America

Complex network analysis of extreme rainfall in South America