Usporedite metode

	Fire Danger Rating System	Palmer Drought Severity Index	Rainfall-Runoff Modeling
Područje	Disaster Studies	Disaster Studies	Disaster Studies
Obitelj	Process / pipeline	Process / pipeline	Process / pipeline
Godina nastanka	1977	1965	1979
Tvorac	John E. Deeming, Robert E. Burgan & Jack D. Cohen (US NFDRS); C. E. Van Wagner (Canadian FWI System)	Wayne C. Palmer (1965); self-calibrating variant by Wells, Goddard & Hayes (2004)	Keith J. Beven (Primer; TOPMODEL with M. J. Kirkby)
Vrsta	Operational fuel-moisture and fire-behavior index pipeline	Water-balance soil-moisture drought index	Process-based hydrologic simulation pipeline
Temeljni izvor	Deeming, J. E., Burgan, R. E., & Cohen, J. D. (1977). The National Fire-Danger Rating System — 1978. General Technical Report INT-39, USDA Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT, 63 p.	Palmer, W. C. (1965). Meteorological Drought. Research Paper No. 45, U.S. Department of Commerce, Weather Bureau, Washington, DC, 58 p.	Beven, K. J. (2012). Rainfall-Runoff Modelling: The Primer (2nd ed.). Wiley-Blackwell, Chichester. ISBN: 9780470714591
Drugi nazivi	Wildland Fire Danger Rating, National Fire-Danger Rating System (NFDRS), Fire Danger Indices, Operational Fire Danger Assessment	PDSI, Palmer Index, Palmer Drought Index, Self-Calibrating PDSI (sc-PDSI)	Hydrological Modeling, Watershed Runoff Simulation, Catchment Hydrologic Modeling, Conceptual Rainfall-Runoff Models
Srodne	2	2	3
Sažetak	A fire danger rating system converts daily weather, fuel, and topography information into operational indices that summarize how easily wildfires will ignite, spread, and burn intensely. Two systems dominate worldwide practice: the U.S. National Fire-Danger Rating System (NFDRS), documented by Deeming, Burgan, and Cohen, and the Canadian Forest Fire Weather Index (FWI) System, whose structure Van Wagner formalized in 1987. Both begin by tracking the moisture content of fuels of different sizes — fine fuels respond to weather within hours, while heavy logs and deep duff respond over weeks — and then feed these moisture estimates, together with wind and fuel characteristics, through a chain of subindices that estimate rate of spread, fuel consumption, and fire intensity. The end product is a small set of numbers and danger classes (from Low to Extreme) that agencies use to set preparedness levels, issue public warnings, position resources, and impose restrictions.	The Palmer Drought Severity Index (PDSI), developed by Wayne Palmer in 1965, was the first comprehensive water-balance drought index and remains a benchmark in drought monitoring. Rather than tracking precipitation alone, the PDSI runs a two-layer soil-moisture accounting that balances precipitation against evapotranspiration, runoff, and recharge to gauge whether the moisture supply is abnormally short for the prevailing conditions. It compares actual precipitation to the 'climatically appropriate for existing conditions' (CAFEC) precipitation, converts the departure into a standardized moisture anomaly, and accumulates it over time so that the index reflects the persistence and severity of drought, typically on a scale from about −4 (extreme drought) to +4 (extreme wetness). Because Palmer's original empirical constants were calibrated to particular U.S. regions and limited its spatial comparability, Wells, Goddard, and Hayes introduced the self-calibrating PDSI (sc-PDSI) in 2004, which derives those constants from local data and makes the index far more consistent across climates.	Rainfall-runoff modeling simulates how precipitation falling on a catchment is transformed into streamflow at its outlet, accounting for the water that is intercepted, infiltrated, stored, evaporated, and routed through soils and channels. Models range from simple lumped conceptual stores (such as the unit hydrograph or bucket-type models) to spatially distributed, physically based representations of the catchment. Keith Beven's Rainfall-Runoff Modelling: The Primer is the standard reference, and his and Kirkby's 1979 TOPMODEL — built on a topographic wetness index that predicts where saturated, runoff-generating areas expand — remains one of the most influential conceptual formulations. Because real catchments are heterogeneous and only partly observable, calibration against gauged discharge and explicit treatment of parameter uncertainty (Beven's GLUE framework) are central. The models drive flood forecasting, water-resource planning, and assessment of land-use and climate change.