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Large Scale Weather Patterns

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lightbulbAbout this topic
Large scale weather patterns refer to the systematic atmospheric phenomena that occur over extensive geographical areas and extended time periods, influencing climate and weather conditions. These patterns include features such as jet streams, trade winds, and ocean currents, which interact to shape regional climates and weather events on a global scale.
lightbulbAbout this topic
Large scale weather patterns refer to the systematic atmospheric phenomena that occur over extensive geographical areas and extended time periods, influencing climate and weather conditions. These patterns include features such as jet streams, trade winds, and ocean currents, which interact to shape regional climates and weather events on a global scale.

Key research themes

1. How do large-scale atmospheric circulation patterns influence extreme weather events and their predictability?

This research theme focuses on identifying and characterizing large-scale synoptic and planetary scale meteorological patterns that govern the occurrence and predictability of extreme weather events, including precipitation extremes, tornado outbreaks, and persistent temperature anomalies. Understanding these circulation patterns is critical for improving forecast skill, interpreting climate variability, and assessing future risks under climate change.

Key finding: This paper synthesizes evidence that short-duration extreme precipitation events over North America are closely associated with distinct synoptic and subcontinental scale circulation patterns (LSMPs). It clarifies that these... Read more
Key finding: Using rotated principal component analysis of 500-hPa geopotential height anomalies, the study identifies three dominant synoptic-scale atmospheric patterns associated with major May tornado outbreaks, two of which have not... Read more
Key finding: The study introduces the concept of recurrent Rossby wave patterns (RRWP), characterized by the repeated amplification of synoptic-scale upper-atmosphere troughs and ridges at fixed longitudes. RRWPs are shown to drive... Read more
Key finding: Employing nonlinear dynamical systems metrics—local dimension and persistence—the research quantitatively characterizes the intrinsic predictability of identified synoptic classification weather regimes in the Eastern... Read more
Key finding: Through a comprehensive national research initiative, the study shows that the intrinsic limit of weather predictability arises from the upscale growth of small-scale errors in the chaotic atmosphere. It highlights how... Read more

2. What are the characteristics, trends, and interactions of extreme precipitation events at multiple temporal and spatial scales?

This theme addresses detailed analyses of extreme precipitation characteristics, including event separation from continuous records, spatial-temporal variation of extreme rainfall, and compound events, with an emphasis on quantifying trends, understanding physical mechanisms, and improving data usage across scales. It is essential for hydrological impact assessment, climate change attribution, and improving regional resilience to precipitation extremes.

Key finding: Using over a decade of satellite precipitation radar observations, the study reveals that the heaviest rainfall events in tropical and subtropical regions are not strongly linked to the tallest or most intense convective... Read more
Key finding: Analysis of >100 years of daily rainfall data from 267 European stations reveals spatial and temporal variability in exceedances over 90th and 95th percentiles during winter months. Key spectral modes with ~5-year and ~8-year... Read more
Key finding: This study implements methodology for separating rainfall events from continuous records in the UK and fitting theoretical probability distributions to event characteristics. Using extensive hourly and monthly precipitation... Read more
Key finding: This paper provides a spatially extensive analysis of area-oriented annual maximum daily rainfall (AMDR) time series for many randomly sized and shaped regions over Great Britain and Australia. Employing nonstationary... Read more
Key finding: Introducing a novel methodology based on daily-scale standardized indices, this study identifies compound drought and heatwave (CDHW) events systematically across all seasons at a Belgian study site. It removes minor dry or... Read more

3. How can integrated meteorological observation datasets and advanced data assimilation techniques improve climate science and weather predictability studies?

This line of research emphasizes the critical role of comprehensive, integrated meteorological data holdings—including land-based and marine observations—in climate research and forecasting. It focuses on addressing data fragmentation, improving data discoverability and quality control, and blending observational datasets with advanced reanalysis and assimilation methods to support robust climate model validation, trend assessment, and improved weather and climate predictions.

Key finding: The paper highlights the fractured state of global land-based meteorological data, fragmented by variable, timescale, and geographic scope, and argues for a coordinated international effort to integrate, standardize, and... Read more
Key finding: The study documents ongoing efforts under the Copernicus Climate Change Service to create a comprehensive global land and marine surface meteorological database by harmonizing diverse datasets across essential climate... Read more
Key finding: Addressing the increasing frequency of extreme weather events and demographic shifts such as urbanization and coastal population growth, the paper calls for accelerated advances in weather and climate forecasting. It stresses... Read more
Key finding: The paper advances pattern scaling methodologies for climate projections by comparing delta and linear regression approaches to derive spatial temperature and precipitation response patterns from CMIP5 models. It compiles a... Read more

All papers in Large Scale Weather Patterns

The linkage between large scale weather patterns that are recurring and persisting is called ``teleconnection``. The teleconnections have a large impact in the nature, the humans and the society. Most of them can be understood by... more
Samenvatting Περίληψη Acknowledgements Curriculum vitae viii Chapter 1.2.2 Rossby waves and their propagation characteristics Atmospheric Rossby waves are disturbances from the zonal symmetry in the atmospheric circulation that move... more
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