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

Low-level thunderstorm outflow (hereafter referred to as LTO) boundaries can interact with the environment or with other storms in a variety of ways. Studies have shown that convection can be initiated, intensified, or weakened through interaction with an LTO boundary depending on local environmental conditions (Purdom 1976; Weaver 1979; Maddox et al. 1980; Wilson and Wilk 1981; Weaver and Nelson 1982; Wilson and Schreiber 1986; Weaver and Purdom 1995). The interface separating the environmental and LTO air masses can often be detected by Doppler radar (Wilson and Wilk, 1981). Although radar’s ability to detect low-level boundaries is range limited, when boundaries are detectable by Weather Surveillance Radar-1988 Doppler (WSR-88Ds) they can be observed every 5–6 min. Cloud lines generated along LTO boundaries can also be detected using satellite imagery. Those cloud lines, sometimes called arc clouds, frequently develop as a curved line of clouds along the boundary interface (Purdom 1973). In satellite imagery, stratiform low-level billow clouds (sometimes referred to as stable wave clouds) have also been observed to form at the top of the cold-air dome associated with the LTO. Geostationary satellite imagery can be used to observe the development and evolution of low-level cloud boundaries across a broad range of scales, including the mesoscale.

PICTURE OF THE QUARTER: Nighttime Detection of Low-Level Thunderstorm Outflow Using a GOES Multispectral Image Product