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  • Data  (2)
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  • 1
    facet.materialart.
    Unknown
    Charcoal records of two sediment cores off SW Africa (2012)
    PANGAEA
    In:  Supplement to: Daniau, Anne-Laure; Bartlein, Patrick J; Harrison, S P; Prentice, Iain Colin; Brewer, Simon; Friedlingstein, Pierre; Harrison-Prentice, T I; Inoue, J; Izumi, K; Marlon, Jennifer R; Mooney, Scott D; Power, Mitchell J; Stevenson, J; Tinner, Willy; Andric, M; Atanassova, J; Behling, Hermann; Black, M; Blarquez, O; Brown, K J; Carcaillet, C; Colhoun, Eric A; Colombaroli, Daniele; Davis, Basil A S; D'Costa, D; Dodson, John; Dupont, Lydie M; Eshetu, Z; Gavin, D G; Genries, A; Haberle, Simon G; Hallett, D J; Hope, Geoffrey; Horn, S P; Kassa, T G; Katamura, F; Kennedy, L M; Kershaw, A Peter; Krivonogov, S; Long, C; Magri, Donatella; Marinova, E; McKenzie, G Merna; Moreno, P I; Moss, Patrick T; Neumann, F H; Norstrom, E; Paitre, C; Rius, D; Roberts, Neil; Robinson, G S; Sasaki, N; Scott, Louis; Takahara, H; Terwilliger, V; Thevenon, Florian; Turner, R; Valsecchi, V G; Vannière, Boris; Walsh, M; Williams, N; Zhang, Yancheng (2012): Predictability of biomass burning in response to climate changes. Global Biogeochemical Cycles, 26(4), https://doi.org/10.1029/2011GB004249
    Details
    Publication Date: 2024-01-13
    Description: We analyze sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates. Analyses of paleo- fire data show that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels, and that temperature is quantitatively the most important driver of changes in biomass burning over the past 21,000 yrs. Given that a similar relationship between climate drivers and fire emerges from analyses of the interannual variability in biomass burning shown by remote-sensing observations of month-by-month burnt area between 1996 and 2008, our results signal a serious cause for concern in the face of continuing global warming.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Estimated future permafrost maps constrained by observed relationships, with link to model result files in NetCDF format (2017)
    PANGAEA
    In:  Supplement to: Chadburn, Sarah; Burke, Eleanor J; Cox, Peter; Friedlingstein, Pierre; Hugelius, Gustaf; Westermann, Sebastian (2017): An observation-based constraint on permafrost loss as a function of global warming. Nature Climate Change, https://doi.org/10.1038/nclimate3262
    Details
    Publication Date: 2024-01-27
    Description: A globally applicable relationship between air temperature and permafrost areal fraction was derived using reanalysis air temperatures and the historical IPA permafrost map. This relationship defines a maximum, minimum and mean permafrost fraction at a given air temperature. Future air temperatures were estimated for a particular global mean warming, using the observed Arctic amplification and a pattern-scaling approach with the 1986-2005 mean air temperatures as the baseline. Here we show the estimated permafrost map, using our method, from the time of the IPA map ('historical' = 1960-1990), along with the estimated future permafrost maps using pattern-scaled air temperatures, for a range of global stabilisation temperatures (between 1 and 6 degree C above pre-industrial levels (1850-1900)). For each global mean air temperature there is a maximum, minimum and mean permafrost extent according to our permafrost-air temperature relationships. The file naming is as follows: map_〈deg〉〈type〉.nc, where 〈deg〉 is degrees of warming above pre-industrial climate, and 〈type〉 is one of max, min, or mean, indicating maximum, minimum or mean permafrost extent. The maps are global at 0.5 degree resolution.
    Type: Dataset
    Format: application/zip, 4.1 MBytes
    Location Call Number Limitation Availability
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    DATA PANGAEA
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