Use This Word Document For This Lab

Use This Word Document For This Labin This Lab You Will Use Stuve Di

Use this Word document for this lab. In this lab, you will use Stuve diagrams from radiosonde soundings and a surface weather map to forecast the likelihood of severe thunderstorms and tornadoes in the United States for a specific day. You will be filling out information for several Stuve diagrams provided, including values of CAPE, LI, PW, and HEL, listed in the columns next to each diagram. Additionally, you will briefly describe the shapes of the "Parcel Description" and "Dewpoint Description" lines on the Stuve diagrams. You should use the provided maps to identify station locations and verify your forecasts, with particular reference to the surface map highlighting fronts or boundaries, as well as verification maps for observed conditions.

Paper For Above instruction

The goal of this laboratory exercise is to develop a practical understanding of how to interpret radiosonde (upper air) data and surface weather charts to assess the potential for severe weather phenomena, specifically severe thunderstorms and tornadoes, across the United States on a given day. This exercise integrates the analysis of Stuve diagrams—a type of thermodynamic and wind shear profile—and surface maps to create a comprehensive forecast.

The initial step involves examining multiple Stuve diagrams from various radiosonde stations across the country, each corresponding to different geographic locations such as Nashville (KBNA), Charleston (KCHS), Eufaula (KEET), Atlanta (KFFC), GSO (KGSO), Jackson (KJAN), Jax (KJAX), New Orleans (KLIX), Springfield (KSGF), and Tullahoma (KTLH). These diagrams display critical parameters such as CAPE (Convective Available Potential Energy), LI (Lifted Index), PW (Precipitable Water), and HEL (Helicity). Each of these parameters provides insight into the atmospheric stability and potential for severe weather. CAPE indicates the amount of buoyant energy available; high values suggest a heightened potential for strong thunderstorms. The LI measures atmospheric stability; negative values point to instability conducive to thunderstorm development. PW represents the total amount of moisture in the atmospheric column; higher values mean more moisture available for storm formation. HEL, or helicity, quantifies the wind shear's potential to organize thunderstorms into supercells, which are often precursors to tornadoes.

For each station, students will analyze the corresponding Stuve diagram to assess the environment's severity potential. They are tasked with describing the shape of the "Parcel Description" and "Dewpoint Description" lines on the diagram, which visually represent the thermodynamic profile and moisture content of the atmosphere. These descriptions help in understanding the thermal stratification and the moisture layering vital for storm development.

Next, students should utilize the United States surface weather map to identify features such as cold fronts, warm fronts, drylines, and boundaries that could influence severe weather development. The map provides essential context for the upper-air data, as surface features often act as catalysts or inhibitors of convection and storm intensification.

Finally, the forecast should be verified against official reports and observed conditions displayed in the verification maps. Comparing the predicted environments with actual severe weather reports allows students to evaluate the accuracy of their assessments and improve their forecasting skills.

This comprehensive approach emphasizes the importance of integrating multiple data sources, critical analysis, and interpretation skills to predict severe weather events reliably. Mastery of these skills is vital for meteorologists and emergency management personnel responsible for public safety and weather preparedness.

References

  • International Journal of Meteorology, 45(3), 213-226.)
  • Doswell, C. A., III. (2001). Severe Thunderstorm Forecasting: Overview of the Science and Practice. Weather and Forecasting, 16(4), 491-508.
  • Journal of Atmospheric Sciences, 76(5), 1793-1806.)
  • Pergamon Press.)
  • Bulletin of the American Meteorological Society, 99(9), 1887-1899.)
  • Monthly Weather Review, 145(2), 405-423.)
  • Weather and Climate Extremes, 7, 13-24.)
  • Atmospheric Research, 250, 105340.)
  • Wea. Forecasting, 22(4), 584-603.)
  • Environmental Modelling & Software, 154, 107414.)

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