Computational and Modelling Services (CMS)
Lead Research Organisation:
National Centre for Atmospheric Science
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
| Grenville Lister (Principal Investigator) |
Publications
Hassell D
(2017)
A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1)
in Geoscientific Model Development
Hassell D
(2017)
A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1)
in Geoscientific Model Development
Hassell D
(2020)
cfdm: A Python reference implementation of the CF data model
in Journal of Open Source Software
Moine M
(2014)
Development and exploitation of a controlled vocabulary in support of climate modelling
in Geoscientific Model Development
Fernández-MartÃnez M
(2023)
Diagnosing destabilization risk in global land carbon sinks
in Nature
Adamson K
(2021)
Enhancing physical geography schools outreach: Insights from co-production and storytelling narratives
in Progress in Physical Geography: Earth and Environment
Righi M
(2019)
ESMValTool v2.0 - Technical overview
Pearson K
(2010)
Evaluation of the model representation of the evolution of convective systems using satellite observations of outgoing longwave radiation
in Journal of Geophysical Research: Atmospheres
France J
(2021)
Facility level measurement of offshore oil and gas installations from a medium-sized airborne platform: method development for quantification and source identification of methane emissions
in Atmospheric Measurement Techniques
Friedlingstein P
(2022)
Global Carbon Budget 2021
in Earth System Science Data
Crilley L
(2021)
Is the ocean surface a source of nitrous acid (HONO) in the marine boundary layer?
in Atmospheric Chemistry and Physics
Andersen S
(2021)
Long-term NO<sub><i>x</i></sub> measurements in the remote marine tropical troposphere
in Atmospheric Measurement Techniques
Lee J
(2021)
Ozone production and precursor emission from wildfires in Africa
in Environmental Science: Atmospheres
Mayernik M
(2015)
Peer Review of Datasets: When, Why, and How
in Bulletin of the American Meteorological Society
Martin G
(2009)
U.K. HiGEM: The New U.K. High-Resolution Global Environment Model-Model Description and Basic Evaluation
in Journal of Climate
| Description | The Computational Modelling Services has been influential in a number of different areas relating to the UK's atmospheric and polar science community, by: Supporting high performance computing, and workflow for model runs Developing tools for manipulating and visualising data Managing processing and storage allocations on ARCHER, MONSooN, JASMIN and the Research Data Facility Training users through hands-on modelling workshops Bug fixing and issue management https://ncas.ac.uk/our-services/computer-modelling-and-data/computational-modelling-services/ |
| Exploitation Route | Many of the outcomes are relevant to those engaged in modelling with high-performance computing, data management, and data analysis. |
| Sectors | Digital/Communication/Information Technologies (including Software) Environment |
| Description | This project has provided software engineering support for a large community, many of whom have provided model simulations for the impact community. This submission relates to NCAS' Computational Modelling Services, which support computer simulations for climate, weather and earth-system research in the UK. |
| First Year Of Impact | 2010 |
| Sector | Environment |
| Impact Types | Policy & public services |