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  • Data used in Climate Change 2001, the Third Assessment Report (TAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC). Simulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC). Climatology data calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1F, A1T, A1a, A2a, A2b, A2c, B1a, B2b. The climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. The monthly climatology data covers the period from 1961-2100. The climatologies are of global scope and are provided on latitude-longitude grids.

  • Climatology data used in Climate Change 2007, the Fourth Assessment Report (AR4) of the United Nations Intergovernmental Panel on Climate Change (IPCC) calculated from Coupled Model Intercomparison Project Phase 3 (CMIP3) model output. Simulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the IPCC. Climatology data was calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1b, A2, B1, the commitment scenario experiment (COMMIT), the twentieth century experiment (20C3M), the pre-industrial control (PICTL) and the idealised experiments 1PCTO2X and 1PCTO4X. The AR4 climatologies are 20-year period averages. 30-year period averages have also been calculated for comparison with the IPCC Third Assessment Report (TAR). The monthly climatology data covers the period from 1850-2100. The climatologies are of global scope and are provided on latitude-longitude grids. The period averages are: 20x: 20-year averages [+20-39, +46-65, +80-99, +180-199] as used in chapter 10 of IPCC 2007, 30a: 30-year averages [+01-30, +31-60, +61-90] as used in the observed climatologies, 30b: 30-year averages [+10-39, +40-69, +70-99] for compatibility with the IPCC 3rd Assessment Report (TAR). The climatology period averages listed above are relative to AD2000 for SRES scenarios A1B, A2, B1, and the commitment scenario COMMIT, relative to AD1900 for the twentieth century run (20C3M) and relative to the start of the experiment for the pre-industrial control (PICTL) and the 1PCTO2X and 1PCTO4X runs. Data files are 'tar' files with names of the form [model]_[experiment]_[variable]_{climatology}.tar. The experiments in this dataset include the SRES future scenarios: A1B Globalisation with rapid economic growth, A2 Regionalisation with regionally oriented economic development, B1 Globalisation with global environmental sustainability. Also: COMMIT simulation of climate change we are committed to given the current loading of greenhouse gasses and zero future emissions. PICTL the pre-industrial control. 20C3M the 20th century climate simulaiton. 1PTO2X and 1PTO4X idealised simulaitons where the concentration of atmospheric carbon dioxide (CO2) is increased by 1 percent per year from pre-industrial concentration until reaching 2x and 4x the original concentration. The dataset is comprised of monthly mean surface data for the following atmospheric variables: specific humidity, precipitation flux, air pressure at sea level, surface downwelling shortwave flux in air, air temperature, air temperature daily max, air temperature daily min, eastward wind, northward wind.

  • This dataset includes numerical simulation data of bottom heated convection in a rotating spherical shell. These numerical models are used to investigate the dynamics of convection in planetary cores. The simulations are performed over a range of thermal forcing and rotation rate [1-3] to study the various dynamical regimes of rotating convection. The dataset includes the simulation states to reproduce the simulations, time-series output of relevant variables from the simulations apart from post-processed diagnostic quantities. Due to large volume of the simulation state files only the initial, final and time averaged files are stored in the dataset in NETCDF format. The simulation diagnostics are provided in text, which includes time series, spatial and temporal averages of various diagnostic quantities (e.g. kinetic energy of convection) and forces to assess the underlying dynamics and heat transfer behaviour. The simulations have been performed using the Leeds Spherical Dynamo code [4], using ARC2, ARC3 and ARC4 HPC system in University of Leeds and the ARCHER and ARCHER2 HPC system. Refs: [1] https://doi.org/10.1017/jfm.2017.539 [2] https://doi.org/10.1017/jfm.2020.67 [3] https://doi.org/10.48550/arXiv.2410.03369 [4] https://github.com/Leeds-Spherical-Dynamo/leeds-spherical-dynamo