Detection of Severe Midwest Thunderstorms Using Geosynchronous Satellite Data

Adler, Robert F.; Markus, Momcilo; Fenn, Douglas D.

doi:10.1175/1520-0493(1985)113<0769:dosmtu>2.0.co;2

Cited by 69 publications

(37 citation statements)

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“…However, a threshold picked to isolate every cb at times also will unfortunately flag thick (but convectively inert) cirrus clouds (Ebert et al 1996;Mapes and Houze 1993). Furthermore, a threshold optimized for one region or season may not work well in other regions or seasons (e.g., Adler et al 1985;Lau et al 1991;Zhang 1993).…”

Section: Introductionmentioning

confidence: 99%

Over-Ocean Validation of the Global Convective Diagnostic

Martin

Kohrs

Mosher

et al. 2008

Journal of Applied Meteorology and Climatology

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The global convective diagnostic (GCD) is a bispectral (infrared and water vapor), day-night scheme for operationally mapping deep convection by means of geostationary satellite images. This article describes a test of GCD performance over tropical and subtropical waters near North America. The test consists of six cases, each involving a convective cloud complex. A seventh case treats convection over land. For each case, a map of deep convection was constructed from image pairs from Geostationary Operational Environmental Satellite-12 (GOES-12). Case by case and for all maritime cases together, the GCD map was compared with a convective parameter derived from the radar on the Tropical Rainfall Measuring Mission (TRMM), a polar-orbiting satellite. In general, each GCD map showed a bloblike feature. In each case, the radar convective pixels typically fell within the GCD blob. However, (except for the land case) the GCD predicted far too many convective pixels. In the maritime cases overprediction was reduced (without correspondingly impairing other measures of performance) by lowering the nominal GCD threshold. With this adjustment in place, for the six maritime cases taken individually, the GCD tended to yield more consistent results than did a monospectral (infrared) convective scheme. With the cases combined, at the lower threshold the GCD performed somewhat better than one of the more stable versions of the infrared scheme. Comparison with lightning events (also observed by TRMM) suggests the possibility of future improvement to the GCD through the incorporation of geostationary satellite observations of lightning.

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Section: Introductionmentioning

confidence: 99%

Over-Ocean Validation of the Global Convective Diagnostic

Martin

Kohrs

Mosher

et al. 2008

Journal of Applied Meteorology and Climatology

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“…Thunderstorms with overshooting tops that penetrate the tropopause frequently produce hazardous weather at Earth's surface such as heavy rainfall, damaging winds, large hail, and tornadoes (Adler et al 1985;Brunner et al 2007;Dworak et al 2012). Turbulence and CG lightning are found to occur most frequently near the OT region (Bedka et al 2010), indicating that OTs represent significant hazards to ground-based and in-flight aviation operations.…”

Section: Demonstration Activitiesmentioning

confidence: 99%

The GOES-R Proving Ground: Accelerating User Readiness for the Next-Generation Geostationary Environmental Satellite System

Goodman¹,

Gurka²,

DeMaria³

et al. 2012

Bull. Amer. Meteor. Soc.

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“…A number of papers (e.g. Adler et al, 1985;Brunner et al, 2007) have associated OC detected with GOES with severe storms and strong horizontal and vertical wind shear. Bedka et al (2009) used five years of GOES-12 and MODIS data for the Gulf Stream and the US Great Plains to show the strong relationship between OC, aviation turbulence and lightening activity.…”

Section: Deep Convection and Stormsmentioning

confidence: 99%

Deep convective clouds at the tropopause

2011

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Abstract. Data from the Atmospheric Infrared Sounder (AIRS) on the EOS Aqua spacecraft each day show tens of thousands of Cold Clouds (CC) in the tropical oceans with 10 µm window channel brightness temperatures colder than 225 K. These clouds represent a mix of cold anvil clouds and Deep Convective Clouds (DCC). This mix can be separated by computing the difference between two channels, a window channel and a channel with strong CO 2 absorption: for some cold clouds this difference is negative, i.e. the spectra for some cold clouds are inverted. We refer to cold clouds with spectra which are more than 2 K inverted as DCCi2. Associated with DCCi2 is a very high rain rate and a local upward displacement of the tropopause, a cold "bulge", which can be seen directly in the brightness temperatures of AIRS and Advanced Microwave Sounding Unit (AMSU) temperature sounding channels in the lower stratosphere. The very high rain rate and the local distortion of the tropopause indicate that DCCi2 objects are associated with severe storms. Significant long-term trends in the statistical properties of DCCi2 could be interesting indicators of climate change. While the analysis of the nature and physical conditions related to DCCi2 requires hyperspectral infrared and microwave data, the identification of DCCi2 requires only one good window channel and one strong CO 2 sounding channel. This suggests that improved identification of severe storms with future advanced geostationary satellites could be accomplished with the addition of one or two narrow band channels.

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Detection of Severe Midwest Thunderstorms Using Geosynchronous Satellite Data

Cited by 69 publications

References 0 publications

Over-Ocean Validation of the Global Convective Diagnostic

Over-Ocean Validation of the Global Convective Diagnostic

The GOES-R Proving Ground: Accelerating User Readiness for the Next-Generation Geostationary Environmental Satellite System

Deep convective clouds at the tropopause

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