The physics of numerical analysis: a climate modelling case study
Philosophical Transactions A: Mathematical, Physical and Engineering Sciences Royal Society 378:2166 (2020) 20190058
Abstract:
The case is made for a much closer synergy between climate science, numerical analysis and computer science. This article is part of a discussion meeting issue 'Numerical algorithms for high-performance computational science'.Response of the quasi‐biennial oscillation to a warming climate in global climate models
Quarterly Journal of the Royal Meteorological Society Wiley (2020) qj.3749
Extreme precipitation events over Saudi Arabia during the wet season and their associated teleconnections
Atmospheric Research Elsevier 231 (2020) 104655
Pathways to Sustainable Land-Use and Food Systems in the United Kingdom by 2050
Chapter in Pathways to Sustainable Land-Use and Food Systems, 2020 Report of the FABLE Consortium, International Institute for Applied Systems Analysis (IIASA) and the Sustainable Development Solutions Network (SDSN) (2020) 626-655
Abstract:
This chapter of the 2020 Report of the FABLE Consortium Pathways to Sustainable Land-Use and Food Systems outlines how sustainable food and land-use systems can contribute to raising climate ambition, aligning climate mitigation and biodiversity protection policies, and achieving other sustainable development priorities in the UK. It presents three pathways for food and land-use systems for the period 2020-2050: Current Trends, Sustainable Medium Ambition, and Sustainable High Ambition (referred to as “Current Trends”, “Sustainable”, and “Sustainable +” in all figures throughout this chapter). These pathways examine the trade-offs between achieving the FABLE Targets under limited land availability and constraints to balance supply and demand at national and global levels. We developed these pathways in consultation with national stakeholders and experts, including from the Department for Food, Agriculture and Rural Affairs (Defra), the Department for Business, Energy and Industrial Strategy (BEIS), the Department for International Trade (DIT), the Department for Agriculture, Environment and Rural Affairs in Northern Ireland (DAERA), the Scottish Government, the Welsh Government, the Committee on Climate Change, the Royal Society, the Royal Academy of Engineering, and UK Research and Innovation (UKRI), and modeled them with the FABLE Calculator (Mosnier, Penescu, Thomson, and Perez-Guzman, 2019). See Annex 1 for more details on the adaptation of the model to the national context.Revisiting the Identification of Wintertime Atmospheric Circulation Regimes in the Euro-Atlantic Sector
(2019)