Large-scale atmospheric circulation forms and their impact on air temperature in Europe and northern Asia

Hoy, Andreas; Sepp, Mait; Matschullat, Jörg

doi:10.1007/s00704-012-0813-9

Cited by 29 publications

(26 citation statements)

References 52 publications

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“…Even though a discrete number of atmospheric circulation types are unable to account for the full dynamics of the atmospheric continuum system, they have proved useful in understanding the regional and local climate variability of surface variables. Atmospheric circulation types in several regions globally have been linked to surface variables such as surface level ozone concentrations (Cooter et al 2007;Saavedra et al 2012), aerosol optical depths and concentrations of PM 10 (Zhang et al 2012), air temperature (Hoy et al 2013), cold spells (Guentchev and Winkler 2010), rainfall (Hope et al 2006;Raziei et al 2012;Romero et al 1999), flooding (Prudhomme and Genevier 2011), extreme surface winds (Peña et al 2011), and biological indicators such as potato yield (Sepp and Saue 2012). Our interest in the daily atmospheric circulation types (CTs) lies in extracting recurring daily types that could be used in future statistical-dynamical downscaling studies to develop high resolution wind climate maps at the mesoscale which are required to determine those areas that are best suited for wind farm development.…”

Section: Introductionmentioning

confidence: 99%

Daily near-surface large-scale atmospheric circulation patterns over the wider Caribbean

Chadee

Clarke

2015

Clim Dyn

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Section: Introductionmentioning

confidence: 99%

Daily near-surface large-scale atmospheric circulation patterns over the wider Caribbean

Chadee

Clarke

2015

Clim Dyn

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“…Previous studies have reported most influential teleconnection patterns and their connections to surface air temperature (SAT) variability on regional, national, and global scales (e.g., [18][19][20][21]). A number of studies have particularly focused on links between changes in extreme temperatures and teleconnection patterns in different parts of the world (e.g., [22][23][24]).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variability and Trends in Extreme Temperature Events in Finland over the Recent Decades: Influence of Northern Hemisphere Teleconnection Patterns

Irannezhad

Moradkhani

Kløve

2018

Advances in Meteorology

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Fifteen temperature indices recommended by the ETCCDI (Expert Team on Climate Change Detection and Indices) were applied to evaluate spatiotemporal variability and trends in annual intensity, frequency, and duration of extreme temperature statistics in Finland during 1961-2011. Statistically significant relationships between these high-resolution (10 km) temperature indices and seven influential Northern Hemisphere teleconnection patterns (NHTPs) for the interannual climate variability were also identified. During the study period , warming trends in extreme temperatures were generally manifested by statistically significant increases in cold temperature extremes rather than in the warm temperature extremes. As expected, warm days and nights became more frequent, while fewer cold days and nights occurred. e frequency of frost and icing days also decreased. Finland experienced more (less) frequent warm (cold) temperature extremes over the past few decades. Interestingly, significant lengthening in cold spells was observed over the upper part of northern Finland, while no clear changes are found in warm spells. Interannual variations in the temperature indices were significantly associated with a number of NHTPs. In general, warm temperature extremes show significant correlations with the East Atlantic and the Scandinavia patterns and cold temperature extremes with the Arctic Oscillation and the North Atlantic Oscillation patterns.

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“…The COST733 system is originally used to achieve a general numerical method for assessing, comparing and classifying weather situations in Europe, and has demonstrated good performance in previous research [33][34][35]. This system has also been applied to weather classification in areas outside Europe [33], because it has high operability and credibility, and contains plenty of classification schemes.…”

Section: Cost733 Systemmentioning

confidence: 99%

A Long-Term Wind Speed Ensemble Forecasting System with Weather Adapted Correction

Chu

Wang

et al. 2016

Energies

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Abstract:Wind forecasting is critical in the wind power industry, yet forecasting errors often exist. In order to effectively correct the forecasting error, this study develops a weather adapted bias correction scheme on the basis of an average bias-correction method, which considers the deviation of estimated biases associated with the difference in weather type within each unit of the statistical sample. This method is tested by an ensemble forecasting system based on the Weather Research and Forecasting (WRF) model. This system provides high resolution wind speed deterministic forecasts using 40 members generated by initial perturbations and multi-physical schemes. The forecasting system outputs 28-52 h predictions with a temporal resolution of 15 min, and is evaluated against collocated anemometer towers observations at six wind fields located on the east coast of China. Results show that the information contained in weather types produces an improvement in the forecast bias correction.

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Large-scale atmospheric circulation forms and their impact on air temperature in Europe and northern Asia

Cited by 29 publications

References 52 publications

Daily near-surface large-scale atmospheric circulation patterns over the wider Caribbean

Daily near-surface large-scale atmospheric circulation patterns over the wider Caribbean

Spatiotemporal Variability and Trends in Extreme Temperature Events in Finland over the Recent Decades: Influence of Northern Hemisphere Teleconnection Patterns

A Long-Term Wind Speed Ensemble Forecasting System with Weather Adapted Correction

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