Fire Weather Monitoring
Identify fire weather danger & improve wildfire preparedness with KISTERS KiFX data analytics
Get an edge on severe weather
At a time when the public faces increased wildfire risk due to warmer temperatures, more frequent drought and forest pests, our partners have asked us to help them do more with their data & our technologies.
Federal, provincial / state, and local authorities that streamline environmental data collection, management and analysis with WISKI are assisting forestry colleagues.
Increasing access to complementary or same datasets and high-efficiency IT tools for automation, analysis and reporting has proven cost-effective.
As more sensors and forecasts collect data, the need for high quality data and meaningful data visualization is more critical than ever to protect people, property and the environment.
Your benefits
Fully-customizable web portal
A web portal equips authorized users with data summary pages and an online interface that allows operators to easily review, edit, and recalculate fire weather indices. At-a-glance data summaries feature color-coded values using the latest available QA’d observation and forecast datasets.
The same portal enables convenient viewing of QA’d datasets via WCAG 2.0 compliant web interfaces for external / public use, meeting public data requirements.
KISTERS web applications support a variety of tabular, graphical, and forecast-based data views in a single interface to provide one stop for fire-related data.
Key features:
- Web portal interfaces for data access by internal users
as well as external / public users - Editable web interface for data correction and on-the-fly index calculation
- WCAG 2.0 compliant
- French and English interfaces available
Integration of a variety of forecasts
Key to KISTERS Fire Weather software KiFX is the simple and easy incorporation of diverse forecasts to improve fire risk forecast accuracy.
KISTERS datamart includes most publicly available models from Environmental & Climate Change Canada (ECCC), the U.S. National Oceanic & Atmospheric Administration (NOAA), the European Centre for Medium-Range Weather Forecasts (ECMWF), and other globally recognized forecasting organizations.
Standard parameters (air temperature, relative humidity, wind direction, wind speed, precipitation, etc.) and advanced parameters from the GEM, HRDPS, NOAA, and HRRR models are frequently used as inputs to fire risk forecast calculations.
KISTERS offers a standardized workflow that acquires and merges observed data with forecast data to feed fire risk calculations.
Key benefits:
- Increased accuracy of fire risk calculations
- Access to a wide variety of forecasts from different providers
- One single solution for both observed and forecast datasets