http://bolin.su.se/data/zhang-2022-holocene-vegetation-1 Qiong Zhang, Jie Chen Bolin Centre Database 2022 Datafile Atmosphere Climate simulation Mid-Holocene Arctic warming Arctic greening Vegetation feedback Sea-ice loss EC-Earth Earth science services > Models > Dynamic vegetation/ecosystem models Qiong Zhang 2022-03-21T13:28:58+00:00 English 1 The dataset contains Earth system model results from EC-Earth3 presented in the study by Chen et al. (2022). ##### Model configuration * Time periods: PI (200 year time slice) and MH (6 ka) (200 year time slice) * ESM configuration: EC-Earth3-LR, EC-Earth3-veg-LR * Horizontal resolution: ~1.125° (~125 km) For PI and 6 ka EC-Earth are run with two different configurations: * PI_orb: pre-industrial boundary conditions with prescribed vegetation * PI_veg: pre-industrial boundary conditions with dynamic vegetation * 6k_orb: mid-Holocene boundary conditions with prescribed vegetation * 6k_veg: mid-Holocene boundary conditions with dynamic vegetation ##### Available data Monthly, seasonal and annual data for standard meteorological variables such as surface air temperature, precipitation, evapotranspiration. Vegetation data such as vegetation type and leaf area index for low vegetation and high vegetation. The analyses are based on the calculation of difference between the simulations. The visualized data in the publication are the differences (or changes). File type: NetCDF-3 ##### List of data files * lai_summer_diff.nc * MH_orb.sic.annual_mean.nc * MH_veg.lpjg.tvh.0.10.nc * MH_veg.lpjg.tvl.0.10.nc * MH_veg.monthly.sic.annual_mean.nc * PI_veg.lpjg.tvh.0.10.nc * PI_veg.lpjg.tvl.0.10.nc * tas_ann_diff.nc * timeseries_effective_water_import.nc * timeseries_flux.nc * timeseries_water.nc * VEG.seasmean.msl.box.nc * VEG.seasmean.uas.box.nc * VEG.seasmean.vas.box.nc ##### Variables contained in the data files (one can check with ncdump -h command) * tvl – low vegetation type * tvh – high vegetation type * LAI_low – leaf area index of high vegetation (JJA) * LAI_high – leaf area index of high vegetation (JJA) * tas – annual mean surface air temperature * sic – annual mean sea ice cover * lai_low – lai of low vegetation * lai_high – lai of high vegetation * evap_land – evaporation over land * evap_land – evaporation over ocean * tran – transpiration * pw_land – column water vapor over land * pw_ocean – column water vapor over ocean * fal_land – surface albedo over land * fal_ocean – surface albedo over ocean * flux_land – latent heat flux and seasible heat flux * flux_ocean – latent heat flux and seasible heat flux * ssr_land – surface net shortwave radiation * ssr_ocean – surface net shortwave radiation * str_land – surface upward longwave radiation * str_ocean – surface upward longwave radiation * tas_land – surface air temperature over land * tas_ocean – surface air temperature over ocean * pme_all – effective water import * pme_orb – effective water import * pme_veg - effective water import * msl - seasonal sea level preesure * uas - seasonal u-wind component at 10m In total, four simulations were conducted; two of them using coupled dynamic vegetation configuration (EC-Earth3-Veg-LR) and two with prescribed vegetation configuration (EC-Earth3-LR). Two of the simulations were made with with pre-industrial boundary conditions (PI_orb) and two with mid-Holocene boundary conditions (MH_orb). In this case, the differences between MH_orb and PI_orb could largely represent the differences in climate due to differences in orbital forcing. The differences in climate resulting from both differences in orbital forcing and vegetation feedbacks could be largely represented by the differences between MH_veg and PI_veg. Ultimately, vegetation feedbacks could be further distinguished by comparing the difference between the MH_veg minus PI_veg, and MH_orb minus PI_orb. Detailed information on model experiment setup and evaluation for mid-Holocene and pre-industrial simulations with EC-Earth3 can be found in Zhang et al. (2021). For the other variables in simulations for mid-Holocene and pre-industrial beyond this research, please contact [Qiong Zhang](mailto:qiong.zhang@natgeo.su.se).