Fire risk forecasts per day and hour - API

Description

Through these services, fire risk forecasts are obtained per day and per hour. The API for days is available for 6 days and represents the fire risk in the afternoon when the fire risk is usually at its highest. The hourly API describes the fire risk hour by hour for the next 48 hours and thus shows the variation of the fire risk during the day. In the APIs for fire risk analyses there are corresponding calculations but back in time, as the fire risk on the current day also depends on how the weather was before, especially with regard to precipitation. SMHI's work with fire risk calculations (forecasts and analyses) is carried out on behalf of the MSB. Calculations of fire risk (forecast and analysis) are only made over land and lakes in Sweden. The daily and hourly API includes the Canadian Fire Weather Index (FWI) model*, which is a well-used model both in Europe and beyond. The FWI model is also part of a larger model system for assessing fire risk and fire behaviour called the Canadian Forest Fire Danger Rating System (CFFDRS)**. At SMHI, the daily variant of the FWI model was introduced in 1999. The FWI model describes, among other things, fire behaviour, spread rate and the amount of fuel available for the fire in different variables. Input data for the daily variant of the FWI model are the weather parameters temperature, relative humidity and wind 12 UTC and precipitation 18-18 UTC, from PMP. The input data for the hourly version of the FWI model is instead temperature, relative humidity and precipitation for each hour from PMP. The differences between the daily and hourly variants of the FWI model: - The hour variant uses input data from the diurnal variant for (DMC, DC, BUI) as these variables do not vary significantly during the day. - In the hourly version, the humidification/drying speeds are faster than in the daytime version. In the diurnal variant, the first 0.5 mm are disregarded, but the hourly variant includes all precipitation. - Since the model set and input data for the day and hour variant are not the same, the different FWI models will get different values also for the time 12 UTC. In addition to the variables of the FWI model, the hourly API also includes: - grass fire risk in the old last year's grass - potential spreading rate of a full-blown grass fire in uncut and untreated last year's grass (m/min) (Rn) - global radiation in W/m2 (GLirr). In addition to the variables of the FWI model, the daily API also contains: - fuel dehydration, which indicates how dehydrated it has become both in the fuel and in the soil layers that are most important in the event of a forest fire*** - grass fire risk in the previous year's grass according to the grass fire model on a daily basis - potential spreading rate of a fully developed grass fire in uncut and untreated grass of the previous year (m/min) (Rn) according to the grass fire model on a daily basis. The grass day model**** is based on the hourly model***** and uses temperature, precipitation, relative humidity, wind, global radiation (solar radiation) and snow cover as input data. The daily model represents the highest grass fire risk during the day, unlike the hourly model, which instead describes the grass fire risk for each hour. Development and structure of the Canadian Forest Fire Weather Index System. 1987. Van Wagner, C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report 35. 35 p. https://cfs.nrcan.gc.ca/publications?id=19927 ** https://cwfis.cfs.nrcan.gc.ca/background/summary/fdr *** Fuel drying - replacement for HBV forest (2022) Jansson, A https://rib.msb.se/filer/pdf/30155.pdf **** Development of model for grass fire hazard regarding forecast for day and hour (2022) Sjöström, J and Granström, A https://rib.msb.se/filer/pdf/29930.pdf and Snow cover in the grass fire model - Evaluation and implementation (2022) Jansson, A and Böhlin, J https://rib.msb.se/filer/pdf/30080.pdf ***** A new model for grass fire hazard (2021) Sjöström, J., Granström, A, Jansson, A and Böhlin, J https://rib.msb.se/filer/pdf/29530.pdf

Resources

Name Format Description Link
0 https://opendata.smhi.se/metfcst/fwif
0 https://opendata-download-metfcst.smhi.se/api/category/fwif1g/version/1/hourly/approvedtime.json
0 https://opendata-download-metfcst.smhi.se/api/category/fwif1g/version/1/daily/approvedtime.json
0 https://opendata-download-metfcst.smhi.se/api/category/fwif1g/version/1/hourly/geotype/point/lon/16/lat/58/data.json
0 https://opendata-download-metfcst.smhi.se/api/category/fwif1g/version/1/daily/geotype/point/lon/16/lat/58/data.json
0 https://opendata-download-metfcst.smhi.se/api/category/fwif1g/version/1/daily/geotype/multipoint/validtime/YYYYMMDDThhmmssZ/parameter/p/leveltype/lt/level/l/data.json?with-geo=false

Tags

  • meteorologi
  • öppna-data
  • brandrisk
  • modelldata

Topics

  • ENVI

Categories