Teleconnection influence of precipitation‐bearing synoptic types over the Snowy Mountains region of south‐east Australia

Theobald, Alison; McGowan, Hamish A.; Speirs, Johanna

doi:10.1002/joc.5457

Cited by 4 publications

(2 citation statements)

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“…Australia is characterized by an extremely complex hydroclimate, with severe droughts, interspersed with flooding rains, presenting significant challenges for water resource supply and management (Theobald et al ., 2018). Australian Northwest Cloudbands (NWCBs) are synoptic‐scale baroclinic systems which transport moisture from the tropical northeast Indian Ocean to southeast Australia (Reid et al ., 2019; Chen et al ., 2020; Wu et al ., 2020; Ye et al ., 2020; McGowan et al ., 2021).…”

Section: Introductionmentioning

confidence: 99%

A Comparison of Northwest Cloudbands and Landfalling Atmospheric Rivers Over Australia

Borthwick

McGowan

2022

Intl Journal of Climatology

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Atmospheric rivers (ARs) are synoptic scale conveyors of tropospheric moisture. They have received considerable scientific attention in recent years due to their profound importance to the Earth's climate system and association with hydrometeorological extremes. The Australian Northwest Cloudband (NWCB) is a similar synoptic scale transporter of tropical heat and moisture which plays a large role in the country's complex hydroclimate. However, there are few studies which explicitly link the two phenomena and provide details on the nature of their relationship. Here we present a comparison of landfalling ARs with NWCBs in the Australian region using modified AR identification criteria for the summers and winters of 1998–2019. An autodetection algorithm was developed to identify AR shapes based on regionally sensitive vertically integrated water vapour transport (IVT) thresholds and common AR criteria. These shapes were then classified into AR events and assessed against recently developed NWCB criteria. Results suggested that while NWCBs likely represent a weaker subset of ARs, they account for a larger proportion of winter AR events than summer events. Significant seasonal patterns were observed in landfall location and IVT anomalies (via seasonal composites), suggesting different formation mechanisms for summer versus winter ARs and NWCBs.

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Section: Introductionmentioning

confidence: 99%

A Comparison of Northwest Cloudbands and Landfalling Atmospheric Rivers Over Australia

Borthwick

McGowan

2022

Intl Journal of Climatology

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“…Although studies comparing SOMs with other classi cation methods (Fleig et al 2010;Huth 2010;Tveito 2010;Lykoudis et al 2010;Broderick and Fealy 2015;Trigo et al 2016;Palm et al 2017) clearly showed that different methods turn out to be optimum depending on the application, it has been the SOM that sparked a new interest in synoptic climatology owing to its novel point of view on circulation variability (Sheridan and Lee 2011). This interest resulted in a wide range of studies on circulation in outputs of reanalyses and climate models, links between circulation and various atmospheric and environmental phenomena, as well as links between synoptic-scale CTs to large-scale teleconnections, bringing new insights into circulation over Asia (Liu et al 2016;Gao et al 2019;Ohba and Sugimoto 2019), Polar regions (e.g., Schuenemann et al 2009;Bezeau et al 2015;Yu et al 2018), Australia and New Zealand (e.g., Jiang et al 2013;Huva et al 2015;Gibson et al 2016a,b;Harrington et al 2016;Theobald et al 2016Theobald et al ,2018, Europe (e.g., Tymvios et al 2010;Polo et al 2011), North America (e.g., Newton et al 2014;Cassano et al 2016Cassano et al ,2017Swales et al 2016;Sugg and Konrad II 2017;Díaz-Esteban and Raga 2018), South America (Espinoza et al 2012;Rodríguez-Morata et al 2018), and southern Africa (e.g., Lennard and Hegerl 2015;Engelbrecht and Landman 2016;Wolski et al 2018;Quagraine et al 2019).…”

Section: Introductionmentioning

confidence: 99%

On the use of self-organizing maps in detecting teleconnections. Part II: temporal aspects

Stryhal

Beranová

Huth

2021

Preprint

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Self-organizing maps (SOMs) represent a method widely used to obtain representative states of atmospheric circulation and link these states to local climate on one hand, and large-scale modes of circulation variability on the other. In the present Part II of our study, we focus on the temporal aspects of the link between SOM circulation types (CTs) and main building blocks of spatial-temporal variability represented by (i) three predefined idealized oscillatory variability modes and (ii) four leading modes of Euro-Atlantic circulation variability extracted by principal component analysis (PCA). The CTs respond to various changes in modes, including variations in their strength and preferred phase. However, compared to these responses, the detected sampling variability inherent to decadal-scale datasets generated from identical setting of modes is surprisingly high, showing that trends in the frequency of CTs of approximately ± 30% can occur without any change in the strength and phase of the underlying modes. This suggests that in order to achieve robust changes in CT frequencies, either an unrealistically large change in the underlying variability mode, which is inconsistent with reanalysis data, is required, or simultaneous contributions of two or more modes that superimpose one another are needed. Consequently, to attribute changes in CTs to variability modes, other methods (e.g., PCA) should be used in parallel to SOMs to avoid misinterpretations. Since the results obtained for the idealized modes agree with our findings for real-world circulation, we believe that the rather simplistic idealized modes may be used in future studies that would extend the research to non-linear aspects of teleconnectivity, including (but not limited to) non-stationary spatial patterns and non-linear combination of variability modes in generating synthetic datasets.

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Forecasting precipitation based on teleconnections using machine learning approaches across different precipitation regimes

Helali,

Nouri,

Mohammadi Ghaleni

et al. 2023

Environ Earth Sci

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Teleconnection influence of precipitation‐bearing synoptic types over the Snowy Mountains region of south‐east Australia

Cited by 4 publications

References 94 publications

A Comparison of Northwest Cloudbands and Landfalling Atmospheric Rivers Over Australia

A Comparison of Northwest Cloudbands and Landfalling Atmospheric Rivers Over Australia

On the use of self-organizing maps in detecting teleconnections. Part II: temporal aspects

Forecasting precipitation based on teleconnections using machine learning approaches across different precipitation regimes

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