English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

. Weather radar measurements are used to study theclimatology of convective storms and their characteristics in thetransboundary Prut River basin. The Storm Cell Identification and Tracking(SCIT) algorithm was used to process the volumetric reflectivitymeasurements, in order to identify, characterize, and track the convectivestorm cells. The storm attribute table output of the algorithm was used toseparate the convective from the stratiform storm cells, by applying asimple selection criterion based on the average vertically integrated liquid(VIL) values. The radar-derived characteristics of convective storms wereused to document the spatial and temporal distributions and stormproperties in terms of duration, distance travelled, movement direction, andintensity. The results show that 94.3 % of all convective storm cells weredetected during May–August, with the peak in July. The peak time forconvective storm cells' occurrence was in the afternoon and evening hoursbetween 10:00 and 18:00 UTC. The median duration of a convective storm was 42 min, the median distance travelled was 23 km, and the median movement speedwas 7.7 m s −1 . The average movement of storms varied with months, butoverall most convective storms move from the south-west and south–south-east.Also, the analysis shows that the longer-lasting convective storms were themost intense. The spatial distribution of the convective cells revealsyearly variation patterns and hotspots but also highlights the limitationsof radar measurement at longer distances. Reanalysis data suggest that lowvalues of sea level pressure over the Black Sea can act as a dynamicaldriver of convective storms in the analysed area.

Radar-derived convective storms' climatology for the Prut River basin: 2003–2017