Marlene Kretschmer
Biographic Data
| ID | 6817716 |
|---|---|
| NAME | Marlene Kretschmer |
| GIVEN NAMES | Marlene |
| FAMILY NAME | Kretschmer |
| SIGNATURE | KRETSCHMER M |
| AFFILIATIONS | Leipzig University of Applied Sciences |
| ORCID | 0000-0002-2756-9526 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Targeted weather regimes identify circulation patterns behind Western European summer heat extremes and trends
Western European heat extremes have intensified in recent decades, with their rate of warming outpacing the global mean. Against this general human-induced warming trend, understanding the circulation patterns that drive such heat extremes is crucial. Weather-regime approaches have been widely used to characterise large-scale circulation variability; however, conventional classifications are not optimised to identify the dynamical drivers of extr…
Estimating the contribution of Arctic sea-ice loss to central Asia temperature anomalies
Arctic sea-ice cover has declined drastically in recent decades, notably in the Barents-Kara Seas (BKS). Previous research has linked low autumn BKS-ice cover to subsequent cold Eurasian winters. This lagged relationship was observed in 2020/2021. Using a causal network framework grounded in known physical mechanisms, we assess how strongly one factor directly influences another (i.e. the causal relationship) and apply this analysis to the anomal…
Artificial intelligence for climate prediction of extremes
Extreme events such as heat waves and cold spells, droughts, heavy rain, and storms are particularly challenging to predict accurately due to their rarity and chaotic nature, and because of model limitations. However, recent studies have shown that there might be systemic predictability that is not being leveraged, whose exploitation could meet the need for reliable predictions of aggregated extreme weather measures on timescales from weeks to de…
No prominent works on this page.
Artificial intelligence for climate prediction of extremes
Extreme events such as heat waves and cold spells, droughts, heavy rain, and storms are particularly challenging to predict accurately due to their rarity and chaotic nature, and because of model limitations. However, recent studies have shown that there might be systemic predictability that is not being leveraged, whose exploitation could meet the need for reliable predictions of aggregated extreme weather measures on timescales from weeks to de…
Estimating the contribution of Arctic sea-ice loss to central Asia temperature anomalies
Arctic sea-ice cover has declined drastically in recent decades, notably in the Barents-Kara Seas (BKS). Previous research has linked low autumn BKS-ice cover to subsequent cold Eurasian winters. This lagged relationship was observed in 2020/2021. Using a causal network framework grounded in known physical mechanisms, we assess how strongly one factor directly influences another (i.e. the causal relationship) and apply this analysis to the anomal…
Targeted weather regimes identify circulation patterns behind Western European summer heat extremes and trends
Western European heat extremes have intensified in recent decades, with their rate of warming outpacing the global mean. Against this general human-induced warming trend, understanding the circulation patterns that drive such heat extremes is crucial. Weather-regime approaches have been widely used to characterise large-scale circulation variability; however, conventional classifications are not optimised to identify the dynamical drivers of extr…
Climate change (2 works) · Climate variability and models (2 works) · Climatology (2 works) · Geography (2 works) · Geology (2 works) · Meteorological Phenomena and Simulations (2 works) · Arctic (1 work) · Arctic and Antarctic ice dynamics (1 work) · Arctic and Russian Policy Studies (1 work) · Arctic ice pack (1 work)