185 citations · 480 across the 13 of their papers we have counts for
13 papers
Climate network and complexity based ENSO forecast for 2026
Josef Ludescher, Jun Meng, Jingfang Fan +2
The El Niño Southern Oscillation (ENSO) is the dominant driver of interannual global climate variability and can lead to extreme weather events such as droughts or flooding. Recent…
AI-Assisted Scientific Assessment: A Case Study on Climate Change
Christian Buck, Levke Caesar, Michelle Chen Huebscher +13
The emerging paradigm of AI co-scientists focuses on tasks characterized by repeatable verification, where agents explore search spaces in 'guess and check' loops. This paradigm do…
Climate network and complexity approach predict neutral ENSO event for 2025
J. Ludescher, J. Meng, J. Fan +2
The El Niño Southern Oscillation (ENSO) is the strongest driver of interannual global climate variability and can lead to extreme weather events like droughts and flooding. Additio…
Evaluation of the Real-time El Niño Forecasts by the Climate Network Approach between 2011 and Present
A. Bunde, J. Ludescher, H. J. Schellnhuber
El Niño episodes are part of the El Niño-Southern Oscillation (ENSO), which is the strongest driver of interannual climate variability, and can trigger extreme weather events and d…
Teleconnections among Tipping Elements in the Earth System
Teng Liu, Dean Chen, Lan Yang +10
Tipping elements of the Earth system may shift abruptly and irreversibly from one state to another at tipping points, resulting in a growing threat to our society. Yet, it is not f…
Climate network and complexity based El Niño forecast for 2022
Josef Ludescher, Jun Meng, Jingfang Fan
The El Niño Southern Oscillation (ENSO) is the most important driver of interannual global climate variability and can trigger extreme weather events and disasters in various parts…
Statistical physics approaches to the complex Earth system
Jingfang Fan, Jun Meng, Josef Ludescher +5
Global climate change, extreme climate events, earthquakes and their accompanying natural disasters pose significant risks to humanity. Yet due to the nonlinear feedbacks, strategi…
Network-based Approach and Climate Change Benefits for Forecasting the Amount of Indian Monsoon Rainfall
Jingfang Fan, Jun Meng, Josef Ludescher +5
The Indian summer monsoon rainfall (ISMR) has a decisive influence on India's agricultural output and economy. Extreme deviations from the normal seasonal amount of rainfall can ca…
Very early warning signal for El Niño in 2020 with a 4 in 5 likelihood
Josef Ludescher, Armin Bunde, Shlomo Havlin +1
The El Niño Southern Oscillation (ENSO) is the most important driver of climate variability and can trigger extreme weather events and disasters in various parts of the globe. Rece…
Complexity based approach for El Nino magnitude forecasting before the "spring predictability barrier"
Jun Meng, Jingfang Fan, Josef Ludescher +5
The El Nino Southern Oscillation (ENSO) is one of the most prominent interannual climate phenomena. An early and reliable ENSO forecasting remains a crucial goal, due to its seriou…
The significance of trends in long-term correlated records
Araik Tamazian, Josef Ludescher, Armin Bunde
We study the distribution of the relative trend in long-term correlated records of length that are characterized by a Hurst-exponent between 0.5 and 1.5 obta…
Improved El Niño-Forecasting by Cooperativity Detection
Josef Ludescher, Avi Gozolchiani, Mikhail I. Bogachev +3
Although anomalous episodical warming of the eastern equatorial Pacific, dubbed El Niño by Peruvian fishermen, has major (and occasionally devastating) impacts around the globe, ro…
CMB dipole revisited
Josef Ludescher, Ralf Hofmann
We re-evaluate the build-up of a horizon-sized temperature profile of amplitude at in light of an improved determination of the black-body anomaly, ba…