导航|地址|刷新
Wildfire | Research Applications Laborat…





Skip to main content



Main navigation












Research Applications Laboratory






Contact Us
Search RAL






About

Leadership

Programs

Education + Outreach

Ethics + Integrity

Staff

Awards and Patents

RAL Advisory Panel

Fact Sheets

Contact

Publications



What We Do

Agriculture + Food

Air Quality

Aviation

Climate

Human Health

Maritime

Rail

Renewable Energy

Road Weather

Testing + Evaluation

Tropical Cyclones

Urban Weather

Water

Wildfire



Products + Tools

Technologies

Artificial Intelligence and Machine Learning

Atmospheric Surface Measurements and Evaluation

Cloud Computing and Software Containers

Data Assimilation

Data Services

Decision Support Systems

Forecasting Systems

Geographic Information Systems (GIS) Science

Measuring Forecast Quality

Regional Climate Analysis and Impact

Specialty Models



Impacts

Overview

Agriculture + Food Impacts

Air Quality Impacts

Aviation Impacts

Climate Impacts

Tropical Cyclones Impacts

Human Health Impacts

Maritime Impacts

Rail Impacts

Renewable Energy Impacts

Road Weather Impacts

Testing + Evaluation Impacts

Urban Weather Impacts

Water Impacts

Wildfire Impacts



Work With Us

Community Collaboration

Internships and Fellowships

Licensing for Technology Transfer

Partner With Us

Sponsors

Visitor Programs

Workshops and Tutorials

Jobs



Events

Upcoming

Past

Live Broadcast



News





Search RAL



Contact Us

































Wildfire
Benefits + Impacts






















We develop tools that predict the behavior of wildfires to help firefighters, local authorities, and resource managers direct their efforts more effectively. Tactically placing firefighting personnel, equipment, and promptly notifying the public saves property, lives, and livelihoods.















Products and ToolsTechnologiesEvents







Focus Areas of Research









Climate and Wildfire


Decision support and planning for future scenarios of wildland fire








Coupled Weather-Fire Modeling


Decision Support For Managing Wildland Fires








Wildfire Fuel Data Research


Wildfire fuel characterization helps us simulate and predict fire intensity, rate and direction of spread













Contact








Stefano Alessandrini



Project Scientist III

email






























NSF NCAR



NSF NCAR Homepage

ACOM | Atmospheric Chemistry Observations & Modeling

CGD Laboratory

CISL | Computational & Information Systems

EdEC | Education, Engagement & Early-Career Development

EOL | Earth Observing Laboratory

HAO | High Altitude Observatory

MMM | Mesoscale & Microscale Meteorology

RAL | Research Applications Laboratory







UCAR



UCAR Homepage

Community Programs

Education & Training

For Staff

Government Relations & External Engagement

Member Institutions

Tech Transfer & Engagement

University Collaboration





RAL


Main Phone: 303-497-8422


For RAL Staff







Follow RAL












© 2026 UCAR

Privacy

Cookies

Web Accessibility

Terms of Use

Copyright Issues

Sponsored by U.S. NSF

Report Ethics Concern

Staff Login


Postal Address:P.O. Box 3000, Boulder, CO 80307-3000•Shipping Address:3090 Center Green Drive, Boulder, CO 80301










This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.







------
导航页 打开网址