Data Quality and Evaluation¶
This page summarises available information on accuracy, uncertainty, validation, known gaps, caveats, and version history for the Wildfire FWI application.
Current evaluation status¶
The Wildfire FWI indicators are derived from Climate DT model simulations using the Canadian Forest Fire Weather Index (FWI) system. At present, evaluation results are available only for IFS-NEMO. Evaluation pages for IFS-FESOM and ICON are listed as placeholders and will be populated when results become available.
The available evaluation mainly focuses on:
consistency of the FWI implementation with the standard formulation
sensitivity of FWI outputs to input meteorological variables
general comparison with known climatological patterns of fire danger
More comprehensive model-specific validation and benchmarking against observational datasets will be included in future updates.
Model-specific evaluation pages¶
Detailed evaluation results for individual Climate DT models are provided in dedicated subpages where available. The IFS-NEMO page contains the current evaluation results; the IFS-FESOM and ICON pages are included to show the planned evaluation structure.
Known gaps, anomalies, and caveats¶
The FWI system is based solely on atmospheric variables and does not explicitly include vegetation, fuel type, or human factors affecting wildfire occurrence.
Results are sensitive to biases in input variables such as temperature, precipitation, humidity, and wind.
Adaptation of the original Canadian FWI system to global applications introduces additional uncertainties (e.g. latitude-dependent adjustments).
Model-specific biases in Climate DT simulations may affect the estimated wildfire danger levels.
Some datasets or model configurations may not yet be available for the full simulation period.
Version history and change logs¶
This guide describes the initial release of Wildfire FWI data within the Climate DT framework.
Version history and updates will be documented in future releases.