Satellite-observed cold-ring-shaped features atop deep convective clouds

Setvák, Martin; Lindsey, Daniel T.; Novák, Petr; Wang, Pao K.; Radová, Michaela; Kerkmann, Jochen; Grasso, Louie; Su, Shih‐Hao; Rabin, Robert M.; Šťástka, Jindřich; Charvát, Zdeněk

doi:10.1016/j.atmosres.2010.03.009

Cited by 73 publications

(39 citation statements)

References 31 publications

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“…Features identified at the infrared part of the spectrum (channel IR 10.8) contain the minimum value of CTT and visual features identifiable in the CTT field -such as cold-ring structure or a U/V-shaped storm structure. These features in the CTT field are common with strong convective storms as their highest tops penetrate the tropopause and reach into the warmer lower stratosphere [26]- [27], [42]. Associated to the vertical extent of convective clouds up to the lower stratosphere is the occurrence of overshooting tops and gravity waves that can be identified from satellite measurements in the visible part of the spectrum.…”

Section: Thunderstorm Featuresmentioning

confidence: 99%

“…From the CTT field obtained from the IR 10.8 channel, the structures of cold-ring storms and V-shaped storms were identified, while exceedances of the threshold of 45 in the BTD of the channels IR 3.9 and IR 10.8 revealed the presence of small ice particles at the top of the cloud. Such features are commonly associated with severe thunderstorms [26], [42], [45]. It was estimated that the presence of small ice particles at the top of deep convective clouds was evident in 20-50 % of the cases analysed.…”

mentioning

confidence: 99%

“…In addition, a great proportion of scientific research studies has focused on the benefits of using algorithms and products obtained from meteorological satellite data. For instance, algorithms for the detection of rapidly developing thunderstorms [23], characteristics of the observed cloud top temperatures (hereafter CTT) [20], [24], [25] and visual cloud top features [26], [27] have been found to be good indicators for thunderstorm severity and could be used as practical tools for the analysis and nowcasting of thunderstorm events.…”

Section: Introductionmentioning

confidence: 99%

“…Cold-ring storms occurred about 5-28 % of the cases, while the fraction of V-shaped storms did not exceed 10 % of the cases or five cases in the year 2008. Studies show that these types of structures visible in the field of CTT have been associated with the occurrence of hail, strong winds and precipitation [26]. Valuable information was obtained also from the visible part of the spectrum during daytime hours by analysing the reflectivity images obtained from the HRV channel.…”

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confidence: 99%

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Remote Sensing Observations of Thunderstorm Features in Latvia

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Briede

Kļaviņš

et al. 2017

Environmental and Climate Technologies

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-Thunderstorms are the most hazardous meteorological phenomena in Latvia in the summer season, and the assessment of their characteristics is essential for the development of an effective national climate and weather prediction service. However, the complex nature of convective processes sets specific limitations to their observation, analysis and forecasting. Therefore, the aim of this study is to analyse thunderstorm features associated with severe thunderstorms observed in weather radar and satellite data in Latvia over the period 2006-2015. The obtained results confirm the applicability of the selected thunderstorm features for thunderstorm nowcasting and analysis in Latvia. The most frequent features observed on days with thunderstorm were maximum radar reflectivities exceeding 50 dBZ and the occurrence of overshooting tops and tilted updrafts, while the occurrence of gravity waves, V-shaped storm structures and small ice particles have been found to be useful indicators of increased thunderstorm severity potential.

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Section: Thunderstorm Featuresmentioning

confidence: 99%

mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Remote Sensing Observations of Thunderstorm Features in Latvia

Avotniece

Briede

Kļaviņš

et al. 2017

Environmental and Climate Technologies

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“…ABI collected data every 5 min over the same region. Both GOES-13 and GOES-16 images shown here are created using similar visible (band 1 from Imager and band 2 from ABI) and IR bands (band 4 from Imager and band 13 for ABI) [23]. The IR data have been color enhanced based on brightness temperature (in • C) and made partially transparent so that information from the visible can also be seen.…”

Section: Improved Temporal Resolutionmentioning

confidence: 99%

From Photons to Pixels: Processing Data from the Advanced Baseline Imager

et al. 2018

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Abstract:The Advanced Baseline Imager (ABI) is the primary Earth observing sensor on the new generation Geostationary Operational Environmental Satellites (GOES-R) series, and provides significant spectral, spatial and temporal observational enhancements compared to the legacy GOES satellites. ABI also provides enhanced capabilities for operational sensor calibration and image navigation and registration (INR) to enable observations of the Earth with high spectral fidelity as well as creating images that are accurately mapped and co-registered over time. Unlike earlier GOES Imagers, ABI has onboard calibration capability for all sixteen bands in the reflective and emissive bands. The calibration process includes periodic and routine views of the internal reflective and blackbody targets as well as views of space and the moon. Improvements in INR are made possible by having a Global Positioning System (GPS) on board the spacecraft and routine measurements of stars through the sensor's boresight for orbit and attitude determination through a Kalman filter. This paper describes how the sensor data are processed into calibrated and geolocated radiances that enable the generation of imagery and higher level products for both meteorological and non-meteorological Earth science applications. Some examples of ABI images and calibration are presented to demonstrate the capabilities and applications of the sensor.

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Radar and lightning analyses of gigantic jet‐producing storms

et al. 2013

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[1] An analysis of thunderstorm environment, structure, and evolution associated with six gigantic jets (five negative polarity, one positive) was conducted. Three of these gigantic jets were observed within detection range of very high frequency lightning mapping networks. All six were within range of operational radars and two-dimensional lightning network coverage: five within the National Lightning Detection Network and one within the Global Lightning Detection (GLD360) network. Most of the storms producing the jets formed in moist tropical or tropical-like environments (precipitable water ranged from 37 to 62 kg m À2 , and 0-6 km shear from 3.5 to 24.8 m s À1 ), featuring high convective available potential energy (1200-3500 J kg À1 ) and low lifted indices (À2.8 to À6.4). The storms had maximum radar reflectivity factors of 54 to 62 dBZ, and 10 dBZ echo contours reached 14-17 km. Storms covered by three-dimensional lightning mappers were near peak altitude of lightning activity (modes of the vertical distributions of radio sources were at altitudes colder than À50 C) and vertical reflectivity intensity, with overshooting echo tops around the times of their jets. Two of the other three jet-producing storms produced their jet around the time of a convective surge as indicated by radar data and likely featured overshooting tops. The observations suggest a link between convective surges, overshooting tops, and the occurrence of gigantic jets, similar to prior modeling studies.

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Satellite-observed cold-ring-shaped features atop deep convective clouds

Cited by 73 publications

References 31 publications

Remote Sensing Observations of Thunderstorm Features in Latvia

Remote Sensing Observations of Thunderstorm Features in Latvia

From Photons to Pixels: Processing Data from the Advanced Baseline Imager

Radar and lightning analyses of gigantic jet‐producing storms

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