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Pregled bibliografske jedinice broj: 1252968

Wavelet Scale Analysis of Mesoscale Convective Systems for Detecting Deep Convection From Infrared Imagery


Klein, Cornelia; Belušić, Danijel; Taylor, Christopher M.
Wavelet Scale Analysis of Mesoscale Convective Systems for Detecting Deep Convection From Infrared Imagery // Journal of Geophysical Research: Atmospheres, 123 (2018), 6; 3035-3050 doi:10.1002/2017jd027432 (međunarodna recenzija, članak, znanstveni)


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Naslov
Wavelet Scale Analysis of Mesoscale Convective Systems for Detecting Deep Convection From Infrared Imagery

Autori
Klein, Cornelia ; Belušić, Danijel ; Taylor, Christopher M.

Izvornik
Journal of Geophysical Research: Atmospheres (2169-897X) 123 (2018), 6; 3035-3050

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Mesoscale convective systems

Sažetak
Mesoscale convective systems (MCSs) are frequently associated with rainfall extremes and are expected to further intensify under global warming. However, despite the significant impact of such extreme events, the dominant processes favoring their occurrence are still under debate. Meteosat geostationary satellites provide unique long-term subhourly records of cloud top temperatures, allowing to track changes in MCS structures that could be linked to rainfall intensification. Focusing on West Africa, we show that Meteosat cloud top temperatures are a useful proxy for rainfall intensities, as derived from snapshots from the Tropical Rainfall Measuring Mission 2A25 product: MCSs larger than 15, 000 km2 at a temperature threshold of −40°C are found to produce 91% of all extreme rainfall occurrences in the study region, with 80% of the storms producing extreme rain when their minimum temperature drops below −80°C. Furthermore, we present a new method based on 2-D continuous wavelet transform to explore the relationship between cloud top temperature and rainfall intensity for subcloud features at different length scales. The method shows great potential for separating convective and stratiform cloud parts when combining information on temperature and scale, improving the common approach of using a temperature threshold only. We find that below −80°C, every fifth pixel is associated with deep convection. This frequency is doubled when looking at subcloud features smaller than 35 km. Scale analysis of subcloud features can thus help to better exploit cloud top temperature data sets, which provide much more spatiotemporal detail of MCS characteristics than available rainfall data sets alone.

Izvorni jezik
Engleski

Znanstvena područja
Geofizika



POVEZANOST RADA


Profili:

Avatar Url Danijel Belušić (autor)

Poveznice na cjeloviti tekst rada:

doi agupubs.onlinelibrary.wiley.com

Citiraj ovu publikaciju:

Klein, Cornelia; Belušić, Danijel; Taylor, Christopher M.
Wavelet Scale Analysis of Mesoscale Convective Systems for Detecting Deep Convection From Infrared Imagery // Journal of Geophysical Research: Atmospheres, 123 (2018), 6; 3035-3050 doi:10.1002/2017jd027432 (međunarodna recenzija, članak, znanstveni)
Klein, C., Belušić, D. & Taylor, C. (2018) Wavelet Scale Analysis of Mesoscale Convective Systems for Detecting Deep Convection From Infrared Imagery. Journal of Geophysical Research: Atmospheres, 123 (6), 3035-3050 doi:10.1002/2017jd027432.
@article{article, author = {Klein, Cornelia and Belu\v{s}i\'{c}, Danijel and Taylor, Christopher M.}, year = {2018}, pages = {3035-3050}, DOI = {10.1002/2017jd027432}, keywords = {Mesoscale convective systems}, journal = {Journal of Geophysical Research: Atmospheres}, doi = {10.1002/2017jd027432}, volume = {123}, number = {6}, issn = {2169-897X}, title = {Wavelet Scale Analysis of Mesoscale Convective Systems for Detecting Deep Convection From Infrared Imagery}, keyword = {Mesoscale convective systems} }
@article{article, author = {Klein, Cornelia and Belu\v{s}i\'{c}, Danijel and Taylor, Christopher M.}, year = {2018}, pages = {3035-3050}, DOI = {10.1002/2017jd027432}, keywords = {Mesoscale convective systems}, journal = {Journal of Geophysical Research: Atmospheres}, doi = {10.1002/2017jd027432}, volume = {123}, number = {6}, issn = {2169-897X}, title = {Wavelet Scale Analysis of Mesoscale Convective Systems for Detecting Deep Convection From Infrared Imagery}, keyword = {Mesoscale convective systems} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • Nature Index


Citati:





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