Jake Dunne

Morning Meteorologist

AS SEEN ON

Preston's Summary

Jake Dunne is a Morning Meteorologist for KWCH 12, focusing on local weather forecasts and updates for the Wichita, Kansas area. With a passion for providing accurate and timely weather information, Jake keeps the community informed about upcoming storms, temperature changes, and other weather-related events that may impact daily life in Kansas.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

Wichita, United States (Local)

Coverage Attributes:

Beta
Seasonal: 62 %
Event Coverage: 23 %
Evolving Stories: 10 %
Breaking News: 2 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Climate Policy
  • Global Warming
  • United States
  • Central America
  • Asia
  • Australia
  • New Zealand
  • Pacific Islands

Pitching Insights

Jake Dunne's coverage focuses on local weather events, particularly winter storms and temperature fluctuations in Kansas. He mainly provides seasonal updates with a focus on event coverage related to extreme weather conditions. Considering his emphasis on tragedy as a theme, communications regarding safety measures during severe weather or insights into managing the impact of such events could be relevant for outreach.

Given Jake's geographic focus on Kansas and Wichita, pitches should emphasize how the content is specifically tailored to this region and its weather patterns. It would also be beneficial to provide practical advice for local residents dealing with travel disruptions or home-related issues stemming from extreme weather conditions.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data