Atmospheric blocking events in the North Atlantic: trends and links to climate anomalies and teleconnections

Wazneh, Hussein; Gachon, Philippe; Laprise, René; Vernal, Anne de; Tremblay, Bruno

doi:10.1007/s00382-020-05583-x

Cited by 31 publications

(18 citation statements)

References 126 publications

(189 reference statements)

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“…The correlation between NAO and ten extreme climate indices (TX10p, TN10p, TN90p, TNn, TNx, TXn, TXx, DTR, R × 1 day, and R × 5 day) reached a significant level in that month and its following second month. This is as the asymmetric connection between NAO and blocking circulation on the atmospheric scale has an asymmetric influence on temperature and precipitation in advance or behind [66,67]. Its lag period is about two weeks.…”

Section: Influencing Factors (Atmospheric Circulation Patterns (Nao Ao and Nao)) Of Extreme Climate Characteristics In Yunnanmentioning

confidence: 98%

Analysis of Spatiotemporal Variability in Extreme Climate and Potential Driving Factors on the Yunnan Plateau (Southwest China) during 1960–2019

Yan

Cai

et al. 2021

Atmosphere

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Global warming is increasing the frequency and intensity of extreme weather events around the world. The extreme climate in plateau and mountainous areas is sensitive and fragile. Based on the software Rclimdex 1.0, the spatio-temporal variation characteristics of 27 extreme climate indices at 120 meteorological stations were calculated in Yunnan from 1960 to 2019. The results show that the extreme temperature is rising, and the warming rate at night is higher than that in the daytime. It showed a trend of warming and drying, and precipitation was concentrated into more intense bursts. Extreme temperature cold indices (TX10p, TN10p, FD0, ID0, and CSDI) were negatively correlated with extreme precipitation indices (R × 5day, PRCPTOT, R10 mm, R20 mm, and R25 mm). Extreme temperature warmth indices (TX90p and TN90p) were positively correlated with extreme precipitation indices (R × 5day, CWD, PRCPTOT, R10 mm, R20 mm, and R25 mm). The change rate of extreme temperature does not increase linearly with altitude. The increase in middle-altitude and high-altitude areas is higher than that in low-altitude areas. Compared with ENSO and AO, NAO is a vital circulation pattern affecting the extreme climate in Yunnan. The influence of NAO on Yunnan’s extreme climate indices is most significant in the current month and the second month that follows. NAO was negatively correlated with extreme temperature warm indices (TN90p, TX90p, SU25, and TR20). NAO positively correlates with the extreme cold temperature indices (TN10p and TX10p). Except that ENSO has a significant effect on CDD, the effect of the general circulation patterns on the extreme temperature indices was more significant than that on the extreme precipitation indices in Yunnan. The results of this study are helpful to further understand and predict the characteristics of extreme climatic events and the factors affecting their geographical locations and atmospheric circulation patterns in Yunnan.

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Section: Influencing Factors (Atmospheric Circulation Patterns (Nao Ao and Nao)) Of Extreme Climate Characteristics In Yunnanmentioning

confidence: 98%

Analysis of Spatiotemporal Variability in Extreme Climate and Potential Driving Factors on the Yunnan Plateau (Southwest China) during 1960–2019

Yan

Cai

et al. 2021

Atmosphere

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“…Thus, their high number of characteristic motifs is more likely due to the multiplicity of their geographical locations, which is consistent with their typical track that follow the jet stream from West to East. The representation of maps in terms of mixture of motifs might also shed light on teleconnections between different patterns (Agarwal et al, 2019;Wazneh et al, 2021). As an example, Figure S17 in Supporting Information S1 shows that heat waves on Europe tend to be associated with high pressure over Canada (motif H9).…”

Section: Extreme Eventsmentioning

confidence: 99%

Learning a Weather Dictionary of Atmospheric Patterns Using Latent Dirichlet Allocation

Fery

Dubrulle

Podvin

et al. 2022

Geophysical Research Letters

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Mid‐latitude circulation dynamics is often described in terms of weather regimes. Each pattern is given by a given combination of several synoptic objects (cyclones and anticyclones). Such intrication makes it arduous to quantify recurrence and intensity of climate extremes. Here we apply Latent Dirichlet Allocation (LDA), used for topic modeling in linguistics, to build a weather dictionary: we define daily maps of a gridded target observable as documents, and the grid‐points composing the map as words. LDA provides a representation of documents in terms of a combination of spatial patterns named motifs, which are latent patterns inferred from the set of snapshots. For atmospheric data, we find that motifs correspond to pure synoptic objects (cyclones and anticyclones), that can be seen as building blocks of weather regimes. We show that LDA weights provide a natural way to characterize the impact of climate change on the recurrence of patterns associated with extreme events.

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“…Atmospheric blocking events in the north Atlantic are large highpressure systems interrupting west-to-east atmospheric flow, occurring during NAO-index. They cause days of quasi-stationary weather patterns, leading to extreme weather events and climate anomalies over Europe 54 . Therefore, solar minima are correlated to sharp increase of cold snaps, heat waves, droughts, and strong storms, as reported from past records.…”

Section: Discussionmentioning

confidence: 99%

1,200 Years of NAO-modelled European Climate History

Morando

2022

Preprint

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In his previous article “Arctic Sea Ice’s Amplification as a Complement to Anthropogenic Global Warming”, the author considered the amplification of solar radiation variations, via Arctic Sea’s ice cover albedo, as forcing to climate change. The same model is used here to extend the data input from the period 1200–2100 AD of the previous study to the period 800–2160 AD. In addition, the present study reconstructs the North Atlantic Oscillation index across the 1,200-year period. Based on its correlation with temperature and precipitation, the model reconstructs the climate anomalies due to NAO in several different European and neighbouring regions and sums them to the previous article’s results. The regional overall results of the model are compared with quantitative and qualitative benchmarks from literature, to evaluate the level of accuracy in simulating the historical data. Therefore, the aim of this article is not only to present the modelled results, but also to relate them to the major climatic and agricultural events of European history.

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Atmospheric blocking events in the North Atlantic: trends and links to climate anomalies and teleconnections

Cited by 31 publications

References 126 publications

Analysis of Spatiotemporal Variability in Extreme Climate and Potential Driving Factors on the Yunnan Plateau (Southwest China) during 1960–2019

Analysis of Spatiotemporal Variability in Extreme Climate and Potential Driving Factors on the Yunnan Plateau (Southwest China) during 1960–2019

Learning a Weather Dictionary of Atmospheric Patterns Using Latent Dirichlet Allocation

1,200 Years of NAO-modelled European Climate History

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