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Author

David Walters

Observed names: D. N. Walters, D. Walters, D.N. Walters, DAVID N. WALTERS, David N. Walters, Walters, David, Walters, David N.
Institution: Met Office
Observed institutions: Bureau of Meteorology, Met Office, University of Leeds, European Centre for Medium-Range Weather Forecasts, University of Manchester, Swansea University, University of Reading, University of Wales
ORCID: 0000-0003-0383-7378
Observed ORCID: 0000-0003-0383-7378
OpenAlex ID: A5014044117
The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations
2019 · David Walters, Anthony J. Baran, et al. · Geoscientific model development · 1,247
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The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations
2017 · K. D. Williams, D. Copsey, et al. · Journal of Advances in Modeling Earth Systems · 807
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The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations
2017 · David Walters, Ian Boutle, et al. · Geoscientific model development · 541
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The Met Office Global Coupled model 2.0 (GC2) configuration
2015 · K. D. Williams, C. M. Harris, et al. · Geoscientific model development · 340
The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations
2011 · D. N. Walters, M. J. Best, et al. · Geoscientific model development · 304
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The first Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL1
2020 · Mike Bush, Tom Allen, et al. · Geoscientific model development · 209
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The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations
2014 · D. N. Walters, K. D. Williams, et al. · Geoscientific model development · 191
Upgrades to the Boundary-Layer Scheme in the Met Office Numerical Weather Prediction Model
2008 · A. R. Brown, R. J. Beare, et al. · Boundary-Layer Meteorology · 145
Assessing a New Coupled Data Assimilation System Based on the Met Office Coupled Atmosphere–Land–Ocean–Sea Ice Model
2015 · D. J. Lea, I. Mirouze, et al. · Monthly Weather Review · 122
Development of the Global Sea Ice 6.0 CICE configuration for the Met Office Global Coupled model
2015 · J. G. L. Rae, H. T. Hewitt, et al. · Geoscientific model development · 113
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Impacts of increasing the aerosol complexity in the Met Office global numerical weather prediction model
2014 · J. P. Mulcahy, D. N. Walters, et al. · Atmospheric chemistry and physics · 107
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Recent upgrades to the Met Office convective‐scale ensemble: An hourly time‐lagged 5‐day ensemble
2020 · Aurore N. Porson, Joanne M. Carr, et al. · Quarterly Journal of the Royal Meteorological Society · 65
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Processes Controlling Tropical Tropopause Temperature and Stratospheric Water Vapor in Climate Models
2015 · Steven C. Hardiman, Ian A. Boutle, et al. · Journal of Climate · 64
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The Impact of Two Coupled Cirrus Microphysics–Radiation Parameterizations on the Temperature and Specific Humidity Biases in the Tropical Tropopause Layer in a Climate Model
2016 · Anthony J. Baran, Peter Hill, et al. · Journal of Climate · 62
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Motivation, rationale and key results from the GERBILS Saharan dust measurement campaign
2011 · J. M. Haywood, B. T. Johnson, et al. · Quarterly Journal of the Royal Meteorological Society · 62
Evaluation of stratocumulus cloud prediction in the Met Office forecast model during VOCALS-REx
2010 · S. J. Abel, D. N. Walters, et al. · Atmospheric chemistry and physics · 62
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The third Met Office Unified Model–JULES Regional Atmosphere and Land Configuration, RAL3
2025 · Mike Bush, David L. A. Flack, et al. · Geoscientific model development · 48
Confronting the Convective Gray Zone in the Global Configuration of the Met Office Unified Model
2023 · Lorenzo Tomassini, Martin Willett, et al. · Journal of Advances in Modeling Earth Systems · 38
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Met Office MOGREPS‐G initialisation using an ensemble of hybrid four‐dimensional ensemble variational (En‐4DEnVar) data assimilations
2023 · G. W. Inverarity, W. J. Tennant, et al. · Quarterly Journal of the Royal Meteorological Society · 38
Assessment of the Met Office dust forecast model using observations from the GERBILS campaign
2011 · B. T. Johnson, M. E. Brooks, et al. · Quarterly Journal of the Royal Meteorological Society · 31
Numerical portrait of a relativistic BCS gapped superfluid
2004 · Simon Hands, David N. Walters · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · 22
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Mixed-precision arithmetic in the ENDGame dynamical core of the Unified Model, a numerical weather prediction and climate model code
2019 · C.M. Maynard, D.N. Walters · Computer Physics Communications · 19
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The Met Office winter testbed 2020/2021: Experimenting with an on‐demand 300‐m ensemble in a real‐time environment
2022 · C. L. Bain, M. Bush, et al. · Meteorological Applications · 15
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Supplementary material to "The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations"
2017 · David Walters, Anthony Baran, et al. · Geoscientific Model Development Discussions · 13
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FastNet: Improving the Physical Consistency of Machine Learning Weather Prediction Models through Loss Function Design
2026 · Tom Dunstan, Oliver Strickson, et al. · Artificial Intelligence for the Earth Systems · 11
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Works count: 51
Citation count: 4,731
H-index: 21
I10-index: 26
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