From 1 - 3 / 3
  • This dataset has been superseded by the dataset https://doi.org/10.5285/20010bfb-c6d3-430f-b1f7-d16790ab8359. A dataset of acclimation potential of terrestrial, freshwater and marine ectotherms across latitudes collected from the literature spanning the time period 1960 to 2015 with the aim to test the importance of physiological acclimation as a mechanism to buffer species against climate warming. The projected rate of environmental warming is used to calculate how many years and generations acclimation capacity will afford each species before it will exceed its thermal maximum. Acclimation capacity, generation time, latitudinal range extent and projected rate of warming are then combined into an index of vulnerability. This data together with critical thermal maxima of the ectotherms are presented here.

  • A dataset of acclimation potential of terrestrial, freshwater and marine ectotherms across latitudes collected from the literature spanning the time period 1960 to 2015 with the aim to test the importance of physiological acclimation as a mechanism to buffer species against climate warming. The projected rate of environmental warming is used to calculate how many years and generations acclimation capacity will afford each species before it will exceed its thermal maximum. Acclimation capacity, generation time, latitudinal range extent and projected rate of warming are then combined into an index of vulnerability. This data together with critical thermal maxima of the ectotherms are presented here.

  • Data for Cross-Chapter Box 3.2, Figure 1 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Cross-Chapter Box 3.2, Figure 1 shows a comparison of observed and simulated changes in global mean temperature and precipitation extremes.  --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005. --------------------------------------------------- Figure subpanels --------------------------------------------------- Technically the figure has four panels, but since they are not marked all the data is in the parent directory. --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains: - Global annual maximum daily maximum daily maximum temperature (TXx) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (human and natural forcings simulations) - Global annual maximum daily maximum daily maximum temperature (TXx) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (natural forcings simulations) - Global annual maximum 1-day precipitation (rx1day) anomalies from 1953 to 2017  relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (natural forcing only simulations) - Global annual maximum 1-day precipitation (rx1day) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (human and natural forcings simulations) --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- - txx_anomalies_timeseries_historical.csv has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing TXx anomalies (top left panel) - txx_anomalies_timeseries_natural has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing TXx anomalies  (bottom left panel) - rx1day_anomalies_timeseries_historical has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing Rx1day anomalies   (top right panel) - rx1day_anomalies_timeseries_natural has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing Rx1day anomalies  (bottom right panel) CMIP5 is the fifth phase of the Coupled Model Intercomparion Project. CMIP6 is the sixth phase of the Coupled Model Intercomparison Project. HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid covering 1901-2018. --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the report component containing the figure (Chapter 3) - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1 - Link to the code for the figure, archived on Zenodo.