Following the 1998 fire season, Texas A&M Forest Service established the Predictive Services Department as a permanently staffed unit to provide short and long-term forecasts and analysis. The program produces information and products that are used at the national, state and local level by firefighters, elected officials and public administrators. 
    To maintain a continual assessment of wildfire risk at the state, regional and local level, Texas A&M Forest Service continually analyzes current and predicted weather conditions, wildfire occurrence and the presence and availability of vegetative fuels throughout the year. Using this information, agency staff develop daily and seasonal forecasts to assist state and local governmental entities in preparing for and responding to periods of elevated fire danger or fire seasons. 
    Most of the products (daily fire danger, drought indices, and fuel dryness) have been developed as automated, online and publically available resources through a partnership with the TAMU AgriLife Spatial Sciences Laboratory

     + Key Services
    • Determine current and predicted weather conditions
    • Monitor condition of vegetation and wildland fuels
    • Calculate current and predicted fire behavior
    • Identify high wildfire risk areas and values threatened 
    • Track wildfire occurrence and ignition sources 
    • Disseminate assessment information to stakeholders and the public
     + Products
     + Wildfire Risk – Where’s the risk?

    With rapid population growth in wildland urban interface areas, wildfire is a serious threat to the people, property and natural resources across Texas. A disastrous wildfire season causes hundreds and thousands of people to lose their homes. Creating heightened awareness of wildfire risk issues and working with communities to develop prevention and mitigation strategies are becoming increasingly important to ensure safety. The Texas Wildfire Risk Assessment Portal, or TxWRAP is available to help address this concern.

     + Additional Information
     + Contact

    For any question, please contact our Predictive Service Staff.