1. PROJECT ------------ Title: Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters Dates: June 2012 - June 2016 Funding organisation: NERC Grant no.: NE/J017221/1 2. DATASET ------------ Title: Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters Description: This dataset contains the NAME simulations as presented in 'Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters' by Natalie Harvey, Helen Dacre, Michael Goldstein, David Thomson and Helen Webster, accepted by Natural Hazards Earth Systems Science. Publication Year: 2018 Creator(s): Natalie Harvey and Helen Dacre Organisation(s): University of Reading Rights-holder(s): University of Reading 3. TERMS OF USE ----------------- (C) University of Reading 2018. This dataset is licensed by the rights-holder(s) under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 4. CONTENTS ------------ File listing NAME_output_first_wave.tar.gz and NAME_output_second_wave.tar.gz contains .txt concentration output at hourly resolution from 200 NAME simulations using the full number of particles (10000 per hour). This data was used to build the 'slow simulator' as described in Harvey et al. (accepted 2017). NAME_output_cheap_runs_uniform.tar.gz contain .txt concentration output at hourly resolution from 1700 NAME simulations using a reduced number of particles (1000 per hour). This data was used to build the 'fast simulator' as described in Harvey et al. (accepted 2017). 5. METHOD and PROCESSING -------------------------- The method and processing used to create this data are described in 'Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters' by Natalie Harvey, Helen Dacre, Michael Goldstein, David Thomson and Helen Webster, accepted by Natural Hazards Earth Systems Science.