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Department of Meteorology – University of Reading

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Dr. Natalie Harvey

Research Scientist

Research Interests:

  • Understanding atmospheric transport processes such as convection and boundary layer turbulence
  • Modelling the long range dispersion of volcanic ash using NAME
  • Forecast verification
  • Quantification and communication of uncertainty in natural hazard models
  • Boundary layer classification using remote sensing instruments

Research Projects:

  • Improving Model Processes for African Climate (IMPALA)
  • Robust Assessment and Communication of Environmental Risk (RACER)

Centaur Publications

Jump to: 2020 | 2018 | 2017 | 2016 | 2015 | 2013
Number of items: 10.

2020

Harvey, N. J., Dacre, H. F., 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., Plant, R. S., Woolnough, S. J., Stirling, A. J. and Harvey, N. J. (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

2018

Dacre, H. F. and Harvey, N. J. (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., Huntley, N., Dacre, H. F., 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

2017

Mulder, K. J., Lickiss, M., Harvey, N., Black, A., Charlton-Perez, A., Dacre, H. and McCloy, R. (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

2016

Dacre, H. F., Harvey, N. J., 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. and Dacre, H. (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

2015

Harvey, N.J., Hogan, R.J. and Dacre, H.F. (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., Grant, A., Harvey, N., 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

2013

Harvey, N. J., Hogan, R. J. and Dacre, H. F. (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

This list was generated on Fri Jan 22 13:00:56 2021 UTC.

Last update: 3rd July 2019

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