Cloud to ground lightning activity over Portugal and its association with circulation weather types

Ramos, Alexandre M.; Ramos, Ricardo; Sousa, Pedro M.; Trigo, Ricardo M.; Janeira, M.; Prior, Víctor

doi:10.1016/j.atmosres.2011.01.014

Cited by 60 publications

(42 citation statements)

References 57 publications

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“…This classification is based on the corresponding objective classification defined for the British Isles (Jenkinson and Collison, 1977;Jones et al, 1993) and has been broadly used for studying climate variability in the Iberian region such as trends of precipitation (Spellman, 2000;Goodess and Jones, 2002;Paredes et al, 2006), extreme events assessment such as droughts (Garcia-Herrera et al, 2007), wet winters (Vicente- or even relationship with snow depth (López-Moreno and Vicente- Serrano, 2007) and modes of low frequency variability (Ramos et al, 2010). Furthermore, this methodology has also been used for the construction of climate change scenarios (Goodess and Palutikof, 1998;Miranda et al, 2002) and even linking storm lightning activity to atmospheric circulation (Tomás et al, 2004;Ramos et al, 2011).…”

Section: Circulation Data and Weather Type Classificationmentioning

confidence: 99%

“…The usefulness of WTs classification has been investigated for a wide range of applications in scientific domains, from climate to environmental areas such as air quality and natural hazards, such as forest fires, floods, droughts, avalanches and storm lightning (e.g., Vicente-Serrano and López-Moreno, 2006;Demuzere et al, 2009;Prudhomme and Genevier, 2011;Ramos et al, 2011). From an hydrological perspective, WTs classifications have been used for different purposes, including their relation with precipitation (e.g., Hanggi et al, 2011;Andrade et al, 2011), extreme precipitation events (Mauran et al, 2010), forest growth (Pasho et al, 2011), drought (e.g., Fowler and Kilsby, 2002;Fleig et al, 2011) and river discharge, including floods (e.g., Wilby, 1993;Auffray et al, 2011;Fowler et al, 2000).…”

Section: N Cortesi Et Al: Modelling Monthly Precipitation With Circmentioning

confidence: 99%

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Modelling monthly precipitation with circulation weather types for a dense network of stations over Iberia

Cortesi

Trigo

González‐Hidalgo

et al. 2013

Hydrol. Earth Syst. Sci.

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Abstract. Precipitation over the Iberian Peninsula (IP) is highly variable and shows large spatial contrasts between wet mountainous regions to the north, and dry regions in the inland plains and southern areas. In this work, we modelled the relationship between atmospheric circulation weather types (WTs) and monthly precipitation for the wet half of the year (October to May) using a 10 km grid derived from a highdensity dataset for the IP (3030 precipitation series, overall mean density one station each 200 km 2 ). We detected two spatial gradients in the relationship between WTs and precipitation. The percentage of monthly precipitation explained by WTs varies from northwest (higher variance explained) to southeast (lower variance explained). Additionally, in the IP the number of WTs that contribute significantly to monthly precipitation increase systematically from east to west. Generally speaking, the model performance is better to the west than to the east where the WTs approach produce the less accurate results. We applied the WTs modelling approach to reconstruct the long-term precipitation time series for three major stations of Iberia (Lisbon, Madrid, Valencia).

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Section: Circulation Data and Weather Type Classificationmentioning

confidence: 99%

Section: N Cortesi Et Al: Modelling Monthly Precipitation With Circmentioning

confidence: 99%

Modelling monthly precipitation with circulation weather types for a dense network of stations over Iberia

Cortesi

Trigo

González‐Hidalgo

et al. 2013

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…This method is simple, straightforward and likely homogenous over time, regardless of the grid density . Thus, it has been used in several environments with varied climate regimes (e.g., Jones et al, 1993;Goodess and Palutikof, 1998;Trigo and DaCamara, 2000;Linderson, 2001;Vicente-Serrano and López-Moreno, 2006;Lorenzo et al, 2011;Ramos et al, 2011). This method has also been used as a tool for forecasting in a wide range of environmental studies, including analysis of air pollution (Hongisto and Joffre, 2005), ozone concentration (Tang et al, 2009), biometeorology (Laaidi, 2001), health risks (Rusticucci et al, 2002), wildfires (Papadopoulos et al, 2014), floods (Prudhomme andGenevier, 2011), droughts (Vicente-Serrano et al, 2011), and soil erosion (Ekström et al, 2002).…”

Section: Circulation-type Catalogmentioning

confidence: 99%

Multi-decadal classification of synoptic weather types, observed trends and links to rainfall characteristics over Saudi Arabia

Kenawy

McCabe

Stenchikov

et al. 2014

Front. Environ. Sci.

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An automated version of the Lamb weather type classification scheme was employed to characterize daily circulation conditions in Saudi Arabia from 1960 to 2005. Daily gridded fields of sea level pressure (SLP) from both the NCEP/NCAR and the European Center for Medium-Range Weather Forecast (ECMWF) reanalysis data (ERA40) were used as input data for this classification. The output catalog included 10 basic types, which describe the direction and vorticity of airflow in the region (i.e., cyclonic, anti-cyclonic, and directional). In general, our findings indicate that cyclonic (C) days represent the most frequent type among all days, with 69.2% of the annual count of days from 1960 to 2005, followed by SE directional flows (21%). It was also determined that airflows originating from the Indian Ocean (i.e., S, SE, and E) are more frequent than those from the Mediterranean and Red Seas (i.e., W, NW, and SW). The defined weather types were assessed for the presence of inter-annual and intra-annual trends using the Mann-Kendall tau statistic. The trend analysis suggests statistically significant changes in the frequencies of a majority of the weather types from 1960 to 2005. The relationship between the daily occurrence of rainfall and the frequency of individual weather types was also described using daily rainfall data from a network of 87 weather observatories. Results demonstrate that increasing frequencies of weather types connected to easterly inflows support higher precipitation amounts over the study domain. Characterizing the association between atmospheric circulation patterns and rainfall in Saudi Arabia is important for understanding potential impacts related to climate variability and also for developing circulation-based downscaling methods.

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“…Classification procedures based on the determination of CWTs and their applications to environmental analysis have been used frequently in recent decades (e.g., Trigo and DaCamara, 2000;Demuzere et al, 2009;Ramos et al, 2011;Russo et al, 2014). The CWTs are able to capture the multivariate information given by an input dataset, e.g., time series of daily pressure fields, into a univariate time series of type membership, i.e., to a classification catalog .…”

Section: Circulation Weather Type Classificationmentioning

confidence: 99%

The influence of circulation weather patterns at different spatial scales on drought variability in the Iberian Peninsula

Russo

Gouveia

Trigo

et al. 2015

Front. Environ. Sci.

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Europe has suffered several extreme weather events which were responsible for considerable ecological and economic losses in the last few decades. In Southern Europe, droughts are one of the most frequent extreme weather events, causing severe damages and various fatalities. The main goal of this study is to determine the role of Circulation Weather Types (CWT) on spatial and temporal variability of droughts by means of the multi-scalar Standardized Precipitation Evapotranspiration Index (SPEI). This study aims also to identify the main CWTs associated with winter and summer droughts over different regions of Iberian Peninsula. During the period between 1950 and 2012, the most frequent CWTs were found to be the Anticyclonic (A), Cyclonic (C), North (N) and Northeast (NE) types. The trend analysis for winter season shows a clear increase of frequency CWTs associated to dry events (A, East and Southeast) and a decrease of frequency of C and northern types while in summer a clear decrease of NE is observed. The spatial patterns of correlation between SPEI and CWT show large patterns of negative correlations with winter frequencies of A and eastern weather types, while the reverse occurs with C and western types. This feature is highlighted on a regional approach. The NE type presents negative correlations in Central, Northwestern and Southwestern regions during winter and positive correlations in Eastern region during summer. In opposition, the West type presents positive correlations in all regions (except Eastern region) during winter and does not present significant correlations during summer. In general, the predominant CWT associated to winter or summer drought conditions differs greatly between regions. The winter droughts are associated mainly with high frequency of E types and low frequency of W types for all areas, while the summer drought in eastern sectors are linked with low frequency of C type, as well as the western regions are related with the N type.

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Cloud to ground lightning activity over Portugal and its association with circulation weather types

Cited by 60 publications

References 57 publications

Modelling monthly precipitation with circulation weather types for a dense network of stations over Iberia

Modelling monthly precipitation with circulation weather types for a dense network of stations over Iberia

Multi-decadal classification of synoptic weather types, observed trends and links to rainfall characteristics over Saudi Arabia

The influence of circulation weather patterns at different spatial scales on drought variability in the Iberian Peninsula

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