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Andreas Groth
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Documents
Researcher identifiers
andreas-groth
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0000-0002-6690-9327
- IdRef : 253122333
Presentation
Research interests
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The interdisciplinary character of my research activity plays an important role in my effort to advance and disseminate knowledge at the interface of **climate, environment, economics** and **data analysis**. In the broader context of **climate impact research**, my field of expertise is that of trying to better understand the complex coupled behavior of the socio-economic systems and the climate systems, each of which is highly complex and nonlinear.
My work has led to significant mathematical improvements and a better understanding of the advanced spectral method of **Singular Spectrum Analysis** (**SSA**). In the **data analysis** of **complex coupled systems**, the improved SSA methodology greatly helps the identification and interpretation of the underlying mechanisms generating an observed time series.
My climate research covers data analysis of **global climatic teleconnections** and advances in a better understanding of **interannual variability**, specifically of **shared atmosphere-ocean mechanisms** and their changes over time. Furthermore, my research delves into a better understanding of intraseasonal timescales, more recently called **sub-seasonal to seasonal** (S2S), and which range from the deterministic limit of atmospheric predictability (about 10 days) up to a season (say, 100 days). These timescales are of particular importance to **sub-seasonal prediction**.
In my socio-economic research, the improved SSA methodology has provided strikingly new insights in the study of **business cycles** and has helped us better understand **synchronization of world economic activity**. A complex-valued extension of SSA helps us explore the cluster configuration of synchronization, as well as identify several **major economic events** that have markedly influenced world economic activity in the postwar era. Moreover, my work has led to a better understanding of the influence of interannual climate variability on the **agricultural sector in the Sahel region**.
Research topics
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Mathematics
- Advanced spectral methods -- Singular Spectrum Analysis
- Monte Carlo hypothesis testing
- Data analysis of complex coupled systems -- Synchronization
- Data-driven low-order modeling and empirical model reduction
Climate
- Global climate teleconnections
- Interannual variability of shared atmosphere-ocean mechanisms and their changes over time
- Intraseasonal variability and sub-seasonal prediction
Socio-economics
- Synchronization of world economic activity, cross-country relationships and international business cycles
- Deterministic causes of macroeconomic fluctuations
- Vulnerability of an economy to exogenous shocks, such as climatic extreme events
- Influence of interannual climate variability on the agricultural sector in the Sahel region
Environment
- Influence of interannual climate forcing on ecosystem dynamics
- Effects of temperature variation on fish population structure
Publications
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The role of oscillatory modes in US business cyclesOECD Journal: Journal of Business Cycle Measurement and Analysis, 2015, 2015 (1), pp.63-81. ⟨10.1787/jbcma-2015-5jrs0lv715wl⟩
Journal articles
hal-01239779v1
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Impacts of Natural Disasters on a Dynamic EconomyMario Chavez, Michael Ghil, Jaime Urrutia-Fucugauchi. Extreme Events: Observations, Modeling, and Economics, Wiley, pp.343-360, 2015, Geophysical Monograph Series, 978-1-119-15701-4. ⟨10.1002/9781119157052.ch19⟩
Book sections
hal-01678074v1
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