Fire Weather Index data for Poland (March – September 2019) based on high-resolution Weather Research and Forecasting Model - Open Research Data - Bridge of Knowledge

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Fire Weather Index data for Poland (March – September 2019) based on high-resolution Weather Research and Forecasting Model

Description

This dataset contains forecasted FWI indices calculated for the period: March 1 - September 30, 2019, based on the meteorological fields derived from the Weather Research and Forecasting Model (WRF) ver. 4.2.1. For each day FWI data with the forecast range equal 24 and 48 hour were stored in GeoTIFF files. In addition, soil moisture and temperature at depths of 0-10 cm were also included in each file. All data were saved with 0.01 degree spatial resolution and WGS84 (EPSG:4326) reference system. Detailed information about available parameters and dataset structure can be found in the readme file attached to the dataset.

The Canadian Forest Fire Weather Index  (FWI) is one of the most commonly used system for describing forest fire danger. The system consists of six indices. Three of them represent fuel moisture: 

  • Fine Fuel Moisture Code (FFMC)
  • Duff Moisture Code (DMC)
  • Drought Code (DC)

two describe a rate of spread and fuel consumption:

  • Initial Spread Index (ISI)
  • Buildup Index (BUI)

Based on those subindices a final FWI index is estimated which represent fire intensity.

Calculations were carried out at the Academic Computer Centre in Gdansk.

Illustration of the publication

Dataset file

FWI_WRF_Poland_2019.zip
7.1 GB, S3 ETag a0d486fd679b66e1d805e71125dfddf2-15, downloads: 80
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file FWI_WRF_Poland_2019.zip

File details

License:
Creative Commons: by-nc-sa 4.0 open in new tab
CC BY-NC-SA
Non-commercial - Share-alike

Details

Year of publication:
2020
Verification date:
2021-08-04
Dataset language:
English
Fields of science:
  • Civil engineering and transport (Engineering and Technology)
  • environmental engineering, mining and energy (Engineering and Technology)
  • Earth and related environmental sciences (Natural sciences)
DOI:
DOI ID 10.34808/wybf-fh85 open in new tab
Verified by:
Gdańsk University of Technology

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