Maria Pasillas

meteorologist

Preston's Summary

Maria Pasillas is a meteorologist for KAMR Local 4 News in Amarillo, Texas. With a background in meteorology and a passion for weather forecasting, Maria provides accurate and timely updates on local weather conditions, including severe weather alerts and forecasts. She is dedicated to keeping the community informed and prepared for any weather-related events.

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

Geo Focus

Amarillo, United States (Local)

Coverage Attributes:

Beta
Seasonal: 73 %
Event Coverage: 13 %
Evolving Stories: 6 %
Breaking News: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • United States
  • Canada
  • Climate Policy
  • Global Warming

Pitching Insights

Maria Pasillas' articles primarily focus on weather-related topics, particularly winter weather and temperature changes in the local area. Her coverage attributes indicate a mix of investment analysis, seasonal updates, announcements, and data citations.

Given her focus on local weather events and their potential impact, she may be interested in receiving pitches related to expert commentary or data-driven insights that can help enhance her audience's understanding of upcoming weather patterns or provide actionable information for staying safe during extreme conditions.

Considering Maria's consistent coverage of tragedy themes within the context of severe weather events, providing resources such as safety tips during storms or interviews with experts who can offer guidance on preparation and response to adverse weather could resonate well with her reporting style.

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
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data