A statistical model linking Siberian forest fire scars with early summer rainfall anomalies
Jupp, Tim E.; Taylor, Christopher M. ORCID: https://orcid.org/0000-0002-0120-3198; Balzter, Heiko; George, Charles T.. 2006 A statistical model linking Siberian forest fire scars with early summer rainfall anomalies. Geophysical Research Letters, 33, L14701. https://doi.org/10.1029/2006GL026679
Full text not available from this repository.Abstract/Summary
Forest fires in Siberia have a significant effect on the global carbon balance. It is therefore of interest to study the environmental factors that may be responsible for their variability. Here we examine variability in the annual number of forest fire scars at a spatial scale of 2.5°. This is decomposed statistically into a spatio–temporal component correlated with low summer rainfall, a spatial component correlated with population density and a temporal component correlated with the Arctic Oscillation. Data come from ten years of satellite–derived data, incorporating both the number of forest fire scars and monthly rainfall. The expected number of fire scars halves for each additional 0.35 mm per day of rainfall in the period April–July. Our findings may prove useful in parameterising both fire models within climate simulations and fire warning systems based on numerical weather predictions of regional dry anomalies
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | https://doi.org/10.1029/2006GL026679 |
Programmes: | CEH Programmes pre-2009 publications > Other |
UKCEH and CEH Sections/Science Areas: | _ Earth Observation _ Process Hydrology |
ISSN: | 0094-8276 |
Format Availability: | Electronic, Print |
Additional Keywords: | Biosphere/atmosphere interactions, Remote sensing, Biogeochemical cycles processes, and modeling, Land/atmosphere interactions, Asia |
NORA Subject Terms: | Meteorology and Climatology Ecology and Environment |
Date made live: | 26 Jun 2007 15:47 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/377 |
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