Our People

Dr Ranjini Swaminathan

NCEO UKESM Core Scientist
EO Data-Model Evaluation

Research interests

I am a member of the UK Earth System Model Core Development (UKESM) team. As an NCEO researcher in the team, I am interested in using EO and observational data with applied machine learning for the purposes of Earth System model evaluation and towards developing the next generation of such models.

Recent publications

Assessing the Realism of the TIPMIP ESM idealized Experiment Protocol. 2025-03-18

DOI: https://doi.org/10.5194/egusphere-egu25-4403

Developing a data and physics driven machine learning mesoscale eddy parameterisation for NEMO. 2025-03-18

DOI: https://doi.org/10.5194/egusphere-egu25-4485

Understanding the Mechanisms Behind Zero Emissions Commitment (ZEC) at Different Warming Levels. 2025-03-15

DOI: https://doi.org/10.5194/egusphere-egu25-18370

A glimpse into the future: The 2023 temperature extremes in the North Atlantic in the context of longer-term climate change. 2025-01-20

DOI: https://doi.org/10.5194/egusphere-egu24-3457

Regional impacts poorly constrained by climate sensitivity . 2025-01-20

DOI: https://doi.org/10.5194/egusphere-egu24-5527

Regional Impacts Poorly Constrained by Climate Sensitivity. 2024-12

DOI: https://doi.org/10.1029/2024EF004901

Regional impacts poorly constrained by climate sensitivity. 2024-10-27

URI: https://centaur.reading.ac.uk/119178/

A machine learning framework to evaluate vegetation modeling in Earth system models. 2024-07-19

URI: https://centaur.reading.ac.uk/117412/

A Machine Learning Framework to Evaluate Vegetation Modeling in Earth System Models. 2024-07

DOI: https://doi.org/10.1029/2023MS004097

A glimpse into the future: the 2023 ocean temperature and sea-ice extremes in the context of longer-term climate change. 2024-01-11

URI: https://centaur.reading.ac.uk/114727/

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán. 2024

URI: https://centaur.reading.ac.uk/115971/

Scenario choice impacts carbon allocation projection at global warming levels. 2023-12-13

DOI: https://doi.org/10.5194/esd-14-1295-2023

Scenario choice impacts carbon allocation projection at global warming levels. 2023-12-13

URI: https://centaur.reading.ac.uk/100609/

Evaluating Vegetation Modeling in Earth System Models with Machine Learning Approaches. 2023-11-20

DOI: https://doi.org/10.22541/essoar.170049918.89868321/v1

Evaluating Vegetation Modelling in Earth System Models with Machine Learning Approaches. 2023-05-15

DOI: https://doi.org/10.5194/egusphere-egu23-3457

Choice of Forecast Scenario Impacts the Carbon Allocation at the Same Global Warming Levels. 2023-01-04

DOI: https://doi.org/10.5194/egusphere-2022-1483

The Physical Climate at Global Warming Thresholds as Seen in the U.K. Earth System Model. 2022

http://www.scopus.com/inward/record.url?eid=2-s2.0-85120056184&partnerID=MN8TOARS

Earth System Model Evaluation Tool (ESMValTool) v2.0 – An extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP. 2020

http://www.scopus.com/inward/record.url?eid=2-s2.0-85089404860&partnerID=MN8TOARS

UKESM1: Description and Evaluation of the U.K. Earth System Model. 2019

http://www.scopus.com/inward/record.url?eid=2-s2.0-85074861901&partnerID=MN8TOARS

A computational framework for modelling and analyzing ice storms. 2018

http://www.scopus.com/inward/record.url?eid=2-s2.0-85093013056&partnerID=MN8TOARS

Modeling ice storm climatology. 2015

http://www.scopus.com/inward/record.url?eid=2-s2.0-84952690952&partnerID=MN8TOARS

Expanding the point-automatic enlargement of presentation video elements. 2011

http://www.scopus.com/inward/record.url?eid=2-s2.0-84455188418&partnerID=MN8TOARS

Improving and aligning speech with presentation slides. 2010

http://www.scopus.com/inward/record.url?eid=2-s2.0-78149488622&partnerID=MN8TOARS

Studying on the move – Enriched presentation video for mobile devices. 2009