James, L. A. ORCID: https://orcid.org/0000-0002-7712-2837, Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126 and Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794 (2024) How dependent are quantitative volcanic ash concentration and along-flight dosage forecasts to model structural choices? Meteorological Applications, 31 (5). e70003. ISSN 1469-8080 doi: https://doi.org/10.1002/met.70003

Charlton-Perez, A. J. ORCID: https://orcid.org/0000-0001-8179-6220, Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126, Driscoll, S., Gray, S. L. ORCID: https://orcid.org/0000-0001-8658-362X, Harvey, B. ORCID: https://orcid.org/0000-0002-6510-8181, Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Hunt, K. M. R. ORCID: https://orcid.org/0000-0003-1480-3755, Lee, R. W. ORCID: https://orcid.org/0000-0002-1946-5559, Swaminathan, R. ORCID: https://orcid.org/0000-0001-5853-2673, Vandaele, R. and Volonté, A. ORCID: https://orcid.org/0000-0003-0278-952X (2024) Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán. npj Climate and Atmospheric Science, 7. 93. ISSN 2397-3722 doi: https://doi.org/10.1038/s41612-024-00638-w

Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Western, L. M., Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126 and Capponi, A. (2022) Can decision theory help end-users take the appropriate action in an emergency? Bulletin of the American Meteorological Society, 103 (10). E2176-E2187. ISSN 1520-0477 doi: https://doi.org/10.1175/bams-d-21-0258.1

Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Daleu, C. L. ORCID: https://orcid.org/0000-0003-2075-4902, Stratton, R. A., Plant, R. S. ORCID: https://orcid.org/0000-0001-8808-0022, Woolnough, S. J. ORCID: https://orcid.org/0000-0003-0500-8514 and Stirling, A. J. (2022) The impact of surface heterogeneity on the diurnal cycle of deep convection. Quarterly Journal of the Royal Meteorological Society, 148 (749). pp. 3509-3527. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4371

Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126, Saint, C., Prata, A. T. ORCID: https://orcid.org/0000-0001-9115-1143, Webster, H. N. ORCID: https://orcid.org/0000-0003-1749-1398 and Grainger, R. G. (2022) Quantifying the impact of meteorological uncertainty on emission estimates and the risk to aviation using source inversion for the Raikoke 2019 eruption. Atmospheric Chemistry and Physics, 22 (13). pp. 8529-8545. ISSN 1680-7316 doi: https://doi.org/10.5194/acp-22-8529-2022

Capponi, A., Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126, Beven, K., Saint, C., Wells, C. and James, M. R. (2022) Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019. Atmospheric Chemistry and Physics, 22 (9). pp. 6115-6134. ISSN 1680-7316 doi: https://doi.org/10.5194/acp-22-6115-2022

Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126, Webster, H. N., Taylor, I. A., Khanal, S., Grainger, R. G. and Cooke, M. C. (2020) The impact of ensemble meteorology on inverse modeling estimates of volcano emissions and ash dispersion forecasts: Grímsvötn 2011. Atmosphere, 11 (10). 1022. ISSN 2073-4433 doi: https://doi.org/10.3390/atmos11101022

Daleu, C. L. ORCID: https://orcid.org/0000-0003-2075-4902, Plant, R. S. ORCID: https://orcid.org/0000-0001-8808-0022, Woolnough, S. J. ORCID: https://orcid.org/0000-0003-0500-8514, Stirling, A. J. and Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794 (2020) Memory properties in cloud--resolving simulations of the diurnal cycle of deep convection. Journal of Advances in Modeling Earth Systems, 12 (8). e2019MS001897. ISSN 1942-2466 doi: https://doi.org/10.1029/2019MS001897

Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126 and Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794 (2018) Characterising the atmospheric conditions leading to large error growth in volcanic ash cloud forecasts. Journal of Applied Meteorology and Climatology, 57 (4). pp. 1011-1019. ISSN 1558-8432 doi: https://doi.org/10.1175/jamc-d-17-0298.1

Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Huntley, N., Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126, Goldstein, M., Thomson, D. and Webster, H. (2018) Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters. Natural Hazards and Earth System Science, 18 (1). pp. 41-63. ISSN 1684-9981 doi: https://doi.org/10.5194/nhess-18-41-2018

Mulder, K. J., Lickiss, M., Harvey, N. ORCID: https://orcid.org/0000-0003-0973-5794, Black, A., Charlton-Perez, A. ORCID: https://orcid.org/0000-0001-8179-6220, Dacre, H. ORCID: https://orcid.org/0000-0003-4328-9126 and McCloy, R. ORCID: https://orcid.org/0000-0003-2333-9640 (2017) Visualizing volcanic ash forecasts: scientist and stakeholder decisions using different graphical representations and conflicting forecasts. Weather, Climate and Society, 9 (3). pp. 333-348. ISSN 1948-8327 doi: https://doi.org/10.1175/WCAS-D-16-0062.1

Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126, Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Webley, P. W. and Morton, D. (2016) How accurate are volcanic ash simulations of the 2010 Eyjafjallajökull eruption? Journal of Geophysical Research: Atmospheres, 121 (7). pp. 3534-3547. ISSN 2169-8996 doi: https://doi.org/10.1002/2015JD024265

Harvey, N. ORCID: https://orcid.org/0000-0003-0973-5794 and Dacre, H. ORCID: https://orcid.org/0000-0003-4328-9126 (2016) Spatial evaluation of volcanic ash forecasts using satellite observations. Atmospheric Chemistry and Physics, 16 (2). pp. 861-872. ISSN 1680-7316 doi: https://doi.org/10.5194/acp-16-861-2016

Harvey, N.J. ORCID: https://orcid.org/0000-0003-0973-5794, Hogan, R.J. ORCID: https://orcid.org/0000-0002-3180-5157 and Dacre, H.F. ORCID: https://orcid.org/0000-0003-4328-9126 (2015) Evaluation of boundary-layer type in a weather forecast model utilising long-term Doppler lidar observations. Quarterly Journal of the Royal Meteorological Society, 141 (689). pp. 1345-1353. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2444 (Part B)

Dacre, H. ORCID: https://orcid.org/0000-0003-4328-9126, Grant, A., Harvey, N. ORCID: https://orcid.org/0000-0003-0973-5794, Thomson, D., Webster, H. and Marenco, F. (2015) Volcanic ash layer depth: processes and mechanisms. Geophysical Research Letters, 42 (2). pp. 637-645. ISSN 0094-8276 doi: https://doi.org/10.1002/2014GL062454

Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Hogan, R. J. ORCID: https://orcid.org/0000-0002-3180-5157 and Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126 (2013) A method to diagnose boundary-layer type using Doppler lidar. Quarterly Journal of the Royal Meteorological Society, 139 (676). pp. 1681-1693. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2068