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Jensen_2018_Environ._Res._Lett._13_014021.pdf 2,11MB
WeightNameValue
1000 Titel
  • The sensitivity of US wildfire occurrence to pre-season soil moisture conditions across ecosystems
1000 Autor/in
  1. Jensen, Daniel |
  2. Reager, John T |
  3. Zajic, Brittany |
  4. Rousseau, Nick |
  5. Rodell, Matthew |
  6. Hinkley, Everett |
1000 Erscheinungsjahr 2018
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-01-17
1000 Erschienen in
1000 Quellenangabe
  • 13(1):014021
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1088/1748-9326/aa9853 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5822439/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • It is generally accepted that year-to-year variability in moisture conditions and drought are linked with increased wildfire occurrence. However, quantifying the sensitivity of wildfire to surface moisture state at seasonal lead-times has been challenging due to the absence of a long soil moisture record with the appropriate coverage and spatial resolution for continental-scale analysis. Here we apply model simulations of surface soil moisture that numerically assimilate observations from NASA's Gravity Recovery and Climate Experiment (GRACE) mission with the USDA Forest Service's historical Fire-Occurrence Database over the contiguous United States. We quantify the relationships between pre-fire-season soil moisture and subsequent-year wildfire occurrence by land-cover type and produce annual probable wildfire occurrence and burned area maps at 0.25 degree resolution. Cross-validated results generally indicate a higher occurrence of smaller fires when months preceding fire season are wet, while larger fires are more frequent when soils are dry. This is consistent with the concept of increased fuel accumulation under wet conditions in the pre-season. These results demonstrate the fundamental strength of the relationship between soil moisture and fire activity at long lead-times and are indicative of that relationship's utility for the future development of national-scale predictive capability.
1000 Sacherschließung
lokal soil moisture
lokal remote sensing
lokal GRACE
lokal hydrology
lokal assimilation
lokal wildfire
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-3331-2847|https://frl.publisso.de/adhoc/uri/UmVhZ2VyLCBKb2huIFQ=|https://frl.publisso.de/adhoc/uri/WmFqaWMsIEJyaXR0YW55|https://frl.publisso.de/adhoc/uri/Um91c3NlYXUsIE5pY2s=|https://frl.publisso.de/adhoc/uri/Um9kZWxsLCBNYXR0aGV3|https://frl.publisso.de/adhoc/uri/SGlua2xleSwgRXZlcmV0dA==
1000 Label
1000 Förderer
  1. National Aeronautics and Space Administration |
1000 Fördernummer
  1. NNL11AA00B; NNX14AB60A
1000 Förderprogramm
  1. DEVELOP Program; Applied Sciences Program; GRACE Science Program
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Aeronautics and Space Administration |
    1000 Förderprogramm DEVELOP Program; Applied Sciences Program; GRACE Science Program
    1000 Fördernummer NNL11AA00B; NNX14AB60A
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6417977.rdf
1000 Erstellt am 2019-12-11T12:02:07.725+0100
1000 Erstellt von 218
1000 beschreibt frl:6417977
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet 2022-03-04T19:19:04.754+0100
1000 Objekt bearb. Fri Mar 04 19:19:04 CET 2022
1000 Vgl. frl:6417977
1000 Oai Id
  1. oai:frl.publisso.de:frl:6417977 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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