Multi-variable benchmark for Last Glacial Maximum climate simulations

Description:

Reconstruction of climate anomalies for the Last Glacial Maximum (LGM, c.a. 21,000 years ago), made by combining pollen based reconstructions (from Bartlein et al. 2011) and averaged outputs of LGM simulations from the 3rd round of the Palaeoclimate Model Intercomparison Project (PMIP, Braconnot et al. 2011), under a variational data assimilation technique. This reconstruction is designed to be used for data-model comparison, specifically against the results of PMIP4. The dataset consists of 6 variables: moisture index (the ratio precipitation and equilibrium evapotranspiration), mean annual precipitation (mm), mean annual temperature (degrees C), mean temperature of the coldest month (degrees C), mean temperature of the warmest month (degrees C), growing degree days above 5 degrees C (day degrees C). The standard deviation of these variables is also given.

Link to dataset:

  • Cleator, Sean , Harrison, Sandy , Nichols, Nancy, Prentice, Iain Colin and Roulstone, Ian (2019): A new multi-variable benchmark for Last Glacial Maximum climate simulations. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.229

References:

  • Bartlein, P.J., Harrison, S.P., Brewer, S., Connor, S., Davis, B.A.S., Gajewski, K., Guiot, J., Harrison-Prentice, T.I., Henderson, A., Peyron, O. and Prentice, I.C., 2011. Pollen-based continental climate reconstructions at 6 and 21 ka: a global synthesis. Climate Dynamics37, 3-4, 775-802.
  • Braconnot, P., Harrison, S.P., Otto-Bliesner, B., Abe-Ouchi, A., Jungclaus, J. and Peterschmitt, J.Y., 2011. The paleoclimate modeling intercomparison project contribution to CMIP5. CliVAR Exchanges56, 16, 15-19.

Superseded dataset:

  • Cleator, Sean, Harrison, Sandy, Nichols, Nancy, Prentice, Iain Colin and Roulstone, Ian (2019): A new multi-variable benchmark for Last Glacial Maximum climate simulations. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.206  (Status: superseded. The spatial and temporal correlations were based on a Gaussian function, instead of a Bessel function).