Global gridded temperature and precipitation predictability dataset
  • Description

    This dataset contains global gridded scores of predictability, constancy and contingency calculated for both temperature and precipitation using the Colwell index (Colwell, 1974). The raw climate dataset was the Climate Research Unit (CRU) monthly dataset at 0.5-degree resolution over the period 1901-2012 (Harris et al., 2014). Methods for calculating the Colwell index were outlined in section 9 of Colwell, 1974. Global biome boundaries and definitions were taken from Olson et al., 2001, and were spatially aggregated onto the CRU resolution. Computer codes for generating the dataset are available via the related website listed below.
    • - Start
      Data publication title Global gridded temperature and precipitation predictability dataset
    • Description

      This dataset contains global gridded scores of predictability, constancy and contingency calculated for both temperature and precipitation using the Colwell index (Colwell, 1974). The raw climate dataset was the Climate Research Unit (CRU) monthly dataset at 0.5-degree resolution over the period 1901-2012 (Harris et al., 2014). Methods for calculating the Colwell index were outlined in section 9 of Colwell, 1974. Global biome boundaries and definitions were taken from Olson et al., 2001, and were spatially aggregated onto the CRU resolution. Computer codes for generating the dataset are available via the related website listed below.
      • Data type dataset
    • Keywords
      • Climate predictability
      • Ecology
      • Evolution
      • Adaptation
      • Climate change
      • Temperature
      • Precipitation
      • Biodiversity
      • Biogeography
    • Funding source
      • National Science Foundation (NSF) Macrosystems Biology (MSB) Grant Number 1137306 (program solicitation NSF 10-555) and NSF Interdisciplinary Behavioral and Social Science (IBSS) Grant Number 1416651 (program solicitation NSF 12-614).
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      • FoR codes
      SEO codes
    - Coverage
      Temporal (time) coverage
    • Start date 1900/01/01
    • End date 2012/12/31
      • Time period
       
      Spatial (location,mapping) coverage
    • Locations
    - Data
    - Supplements
    • Related publications
        Name Biome-specific climatic space defined by temperature and precipitation predictability
      • URL http://doi.org/10.1111/geb.12635
      • Notes
        • Name Colwell, RK 1974, ‘Predictability, constancy, and contingency of periodic phenomena’, Ecology, vol. 55, no. 5, pp. 1148-1153.
      • URL http://doi.org/10.2307/1940366
      • Notes
        • Name Harris, I, Jones, PD, Osborn, TJ & Lister, DH 2014, ‘Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset’, International Journal of Climatology, vol. 34, no. 3, pp. 623-642.
      • URL http://doi.org/10.1002/joc.3711
      • Notes
        • Name Olson, DM, Dinerstein, E, Wikramanayake, ED, Burgess, ND, Powell, GVN, Underwood, EC et al. 2001, ‘Terrestrial ecoregions of the world: a new map of life on Earth’, BioScience, vol. 51, no. 11, ppl. 933-938.
      • URL 0006-3568(2001)051[0933-TEOTWA]2.0.CO;2
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    - Citation
      Citation Jiang, Mingkai; Felzer, Benjamin; Nielsen, Uffe; Medlyn, Belinda (2017): Global gridded temperature and precipitation predictability dataset. Western Sydney University. https://doi.org/10.4225/35/5923990324167

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