The Moberly, Missouri, Tornado of 4 July 1995

Browning, Pete; Weaver, John F.; Connell, Bernadette H.

doi:10.1175/1520-0434(1997)012<0915:tmmtoj>2.0.co;2

Cited by 5 publications

(5 citation statements)

References 5 publications

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“…Notice, in particular, the low-level thunderstorm outflow (LTO) boundary in southeastern South Dakota, represented by an arc of cumulus cloudiness stretching west-northwestward from the southeast tip of SD (white arrows). Such boundaries can play important roles in later thunderstorm development and evolution (e.g., Purdom 1976;Weaver 1979;Weaver et al 1994;Davies et al 1994;Weaver and Purdom 1995;Browning et al 1997;Markowski et al 1998). Note that this boundary stretches westward toward the deep convection that had just formed north of the South Dakota-Nebraska border.…”

Section: Modifications To the Model Forecast Output With Subsynoptic mentioning

confidence: 99%

Satellite Observations of a Severe Supercell Thunderstorm on 24 July 2000 Made during theGOES-11Science Test

Weaver¹,

Knaff²,

Bikos³

et al. 2002

Wea. Forecasting

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This paper utilizes a severe thunderstorm case from 24 July 2000 to demonstrate the relevance of Geostationary Operational Environmental Satellite (GOES) rapid-scan imagery and sounder data in the short-range forecasting and nowcasting time frames. Results show how these data can be employed quickly and effectively during the warning decision-making process. Various aspects of the severe storm environment are identified that could only be diagnosed in this case using satellite data. The data used in this study are unique in that the imager and sounder input both come from one of the newest of the geostationary satellites, GOES-11. The datasets were collected as a part of the satellite's 6-week science test. During this test period, continuous 1-min imagery and 30-min sounder data were available. The new satellite has now been placed on standby and will be put in service when either GOES-East or GOES-West fails. Two new high-resolution satellite products are presented that are currently in the developmental phase. These will be field tested and implemented within the next couple of years.

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Section: Modifications To the Model Forecast Output With Subsynoptic mentioning

confidence: 99%

Satellite Observations of a Severe Supercell Thunderstorm on 24 July 2000 Made during theGOES-11Science Test

Weaver¹,

Knaff²,

Bikos³

et al. 2002

Wea. Forecasting

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“…Although work on tornadic events has been done for some specific locations in Missouri (e.g., Browning et al, 1997), little has been published on spatial and temporal variations on "tornado days" for the State of Missouri.…”

Section: Basic Resultsmentioning

confidence: 99%

An Analysis of Tornado Days in Missouri for the Period 1950-2002

Daoust

2003

Physical Geography

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Tornado analysis using a "tornado-day" approach was made for the State of Missouri, and its climatic divisions, for the period 1950-2002. Although tornado days have not increased in Missouri, the NW Prairie climatic division recorded a statistically significant decline in tornado days during that time period. Seasonal patterns in tornado days were examined for each of the 115 counties in Missouri using cluster analysis. It revealed that the duration of the "tornado season" varies somewhat across Missouri, several southern counties being affected by a bimodal seasonal pattern in tornado days. The interannual tornado-day time series was examined for Missouri, spectral density estimates showing periodicities of 2.1, 2.8, 8.5, 11.6, and 12.8 yrs. Cross-amplitude analysis revealed that these tornado-day periodicities appear to be connected to fluctuations affecting the Pacific-North American patterns (PNA)-(8.5 yrs.), and quasi periodicities associated with the Southern Oscillation and the El Niño 3.4 indexes (11.6 to 12.8 yrs.). [

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“…The event lasted over 24 h, and maximum rainfall intensities were in excess of 100 mm h Ϫ1 . A complete description of the meteorological conditions of this 4 July 1995 event can be found in Browning et al (1997).…”

Section: Numerical Experimentsmentioning

confidence: 99%

Impact of Small-Scale Rainfall Variability on Larger-Scale Spatial Organization of Land–Atmosphere Fluxes

2001

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A coupled modeling framework is used in this study to investigate the effect of subgrid-scale rainfall variability on the spatial structure of the evolving storm and on other surface variables and water and energy fluxes. The Fifth-Generation Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model coupled with the Biosphere-Atmosphere Transfer Scheme is combined with a dynamical/statistical scheme for statistically downscaling rainfall. Model simulations with and without including subgrid-scale rainfall variability are compared at the grid scale to quantify the propagation of small-scale rainfall heterogeneities through the nonlinear land-atmosphere system. It was found that including subgrid-scale rainfall variability (here on the order of 3 km) affects the spatial organization of the storm system itself, surface temperature, soil moisture, and sensible and latent heat fluxes. These effects were found to occur at spatial scales much larger than the scale at which rainfall variability was prescribed, illustrating the pronounced nonlinear spatial dynamics of the land-atmosphere system and its important role on hydrometeorological predictions.

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The Moberly, Missouri, Tornado of 4 July 1995

Cited by 5 publications

References 5 publications

Satellite Observations of a Severe Supercell Thunderstorm on 24 July 2000 Made during theGOES-11Science Test

Satellite Observations of a Severe Supercell Thunderstorm on 24 July 2000 Made during theGOES-11Science Test

An Analysis of Tornado Days in Missouri for the Period 1950-2002

Impact of Small-Scale Rainfall Variability on Larger-Scale Spatial Organization of Land–Atmosphere Fluxes

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