D. N. Walters

发表

Mixed-precision arithmetic in the ENDGame dynamical core of the Unified Model, a numerical weather prediction and climate model code

C. M. Maynard, D. N. Walters, C. Maynard, 2019, Comput. Phys. Commun..

The first Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL1

C. J. Morcrette, D. N. Walters, Nigel Wood, 2020 .

Motivation, rationale and key results from the GERBILS Saharan dust measurement campaign

Sundar A. Christopher, D. N. Walters, Anthony J. Baran, 2011 .

Impacts of increasing the aerosol complexity in the Met Office global numerical weather prediction model

D. N. Walters, Nicolas Bellouin, Sean Milton, 2014 .

The Met Office Unified Model Global Atmosphere 4 . 0 and JULES Global Land 4 . 0 configurations

C. J. Morcrette, D. N. Walters, A. Bodas-Salcedo, 2013 .

Assessment of the Met Office dust forecast model using observations from the GERBILS campaign

Sundar A. Christopher, D. N. Walters, Ben Johnson, 2011 .

Geoscientific Model Development The Met Office Unified Model Global Atmosphere 3 . 0 / 3 . 1 and JULES Global Land 3 . 0 / 3 . 1 configurations

C. J. Morcrette, D. N. Walters, Adam A. Scaife, 2011 .

Upgrades to the Boundary-Layer Scheme in the Met Office Numerical Weather Prediction Model

D. N. Walters, Sean Milton, Adrian Lock, 2008 .

The Met Office Global Coupled model 2.0 (GC2) configuration

D. N. Walters, Chris Harris, Alejandro Bodas-Salcedo, 2015 .

The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations

D. N. Walters, Alejandro Bodas-Salcedo, Sean Milton, 2017 .