Biography
Dr Sarah Sparrow is Deputy Course Director for the MSc in Energy Systems, and is climateprediction.net (CPDN) Programme Coordinator at Oxford e-Research Centre. She is experienced in data driven coupling of climate model output to impact models and lead research proposals in this area. Her responsibilities include application development, support and data management.
Sarah has extensive experience in preparing and analysing large ensembles of climate model output. She has tutored at several international attribution workshops and summer schools. Her research has also included analysis of atmospheric dynamics having modelled solar climate influences on tropospheric dynamics and studied modes of stratospheric variability.
Previously, she has worked in industry as a software developer and implementation manager of business management systems.
Most Recent Publications
A comparative climate-resilient energy design: Wildfire Resilient Load Forecasting Model using multi-factor deep learning methods
A comparative climate-resilient energy design: Wildfire Resilient Load Forecasting Model using multi-factor deep learning methods
Dynamic and Thermodynamic Control of the Response of Winter Climate and Extreme Weather to Projected Arctic Sea‐Ice Loss
Dynamic and Thermodynamic Control of the Response of Winter Climate and Extreme Weather to Projected Arctic Sea‐Ice Loss
Specific humidity verification skill of ECMWF weather forecast model in the region of Vietnam
Specific humidity verification skill of ECMWF weather forecast model in the region of Vietnam
Ensemble of global climate simulations for temperature in historical, 1.5 °C and 2.0 °C scenarios from HadAM4
Ensemble of global climate simulations for temperature in historical, 1.5 °C and 2.0 °C scenarios from HadAM4
Extreme rainfall and landslides as a response to human-induced climate change: a case study at Baixada Santista, Brazil, 2020
Extreme rainfall and landslides as a response to human-induced climate change: a case study at Baixada Santista, Brazil, 2020
Research Interests
- Extreme weather events and their extended impacts
- Climate modelling and dynamics
- Machine learning in the context of climate
- Software system development
Current Projects
Attributing Amazon Forest fires from Land-use Alteration and Meteorological Extremes (AFLAME)
Sarah leads this project looking at the sensitivity of wildfire outbreaks in Brazil to human induced climate change, land use change and natural climate variations.
National Trust Visitor Impact from Expected Weather (NT-VIEW)
Sarah leads this project in collaboration with the National Trust to assess the impact of extreme weather events on visitor numbers at National Trust sites.
Globally Observed Teleconnections in Hierarchies of Atmospheric Models (GOTHAM)
This project looks at remote drivers of atmospheric extremes.
Drivers of Change in Mid-Latitude Weather Events (DOCILE)
This project looks at dynamical drivers of extreme weather in Europe using a new higher resolution distributed computing model
OpenIFS@home
Project bringing the European Centre for Medium Range Weather Forecasting (ECMWF) OpenIFS model to run in a distributed computing environment.
The Nature Conservancy (TNC) project
Looks at how the risk of droughts in the Amazon will change in the future and aims to inform resilient land use planning in a changing world.
The Children's Investment Fund Foundation (CIFF) project
Aims to attribute drought events in West Africa to human induced climate change.
East Asian Heatwave Attribution (EASHA)
This project focuses on attributing current and future changes of heatwaves in East Asia.
Research Groups
Most Recent Publications
A comparative climate-resilient energy design: Wildfire Resilient Load Forecasting Model using multi-factor deep learning methods
A comparative climate-resilient energy design: Wildfire Resilient Load Forecasting Model using multi-factor deep learning methods
Dynamic and Thermodynamic Control of the Response of Winter Climate and Extreme Weather to Projected Arctic Sea‐Ice Loss
Dynamic and Thermodynamic Control of the Response of Winter Climate and Extreme Weather to Projected Arctic Sea‐Ice Loss
Specific humidity verification skill of ECMWF weather forecast model in the region of Vietnam
Specific humidity verification skill of ECMWF weather forecast model in the region of Vietnam
Ensemble of global climate simulations for temperature in historical, 1.5 °C and 2.0 °C scenarios from HadAM4
Ensemble of global climate simulations for temperature in historical, 1.5 °C and 2.0 °C scenarios from HadAM4
Extreme rainfall and landslides as a response to human-induced climate change: a case study at Baixada Santista, Brazil, 2020
Extreme rainfall and landslides as a response to human-induced climate change: a case study at Baixada Santista, Brazil, 2020
Publications
View a full list of Sarah's publications via ORCID or Google Scholar.
Most Recent Publications
A comparative climate-resilient energy design: Wildfire Resilient Load Forecasting Model using multi-factor deep learning methods
A comparative climate-resilient energy design: Wildfire Resilient Load Forecasting Model using multi-factor deep learning methods
Dynamic and Thermodynamic Control of the Response of Winter Climate and Extreme Weather to Projected Arctic Sea‐Ice Loss
Dynamic and Thermodynamic Control of the Response of Winter Climate and Extreme Weather to Projected Arctic Sea‐Ice Loss
Specific humidity verification skill of ECMWF weather forecast model in the region of Vietnam
Specific humidity verification skill of ECMWF weather forecast model in the region of Vietnam
Ensemble of global climate simulations for temperature in historical, 1.5 °C and 2.0 °C scenarios from HadAM4
Ensemble of global climate simulations for temperature in historical, 1.5 °C and 2.0 °C scenarios from HadAM4
Extreme rainfall and landslides as a response to human-induced climate change: a case study at Baixada Santista, Brazil, 2020
Extreme rainfall and landslides as a response to human-induced climate change: a case study at Baixada Santista, Brazil, 2020
