I look after sets of climate model, observational and meteorological reanalysis data for the Polar climate variability research group, and maintain a suite of analysis and visualisation software for the group’s researchers.
I have well over two decades of experience in computer systems and software development, but originally came from a science background with a BSc in Physics. This role lets me combine my enthusiasm for science and the environment with my practical computing experience.
Orr, A., & Phillips, T. (2023). MetUM high-resolution simulations of extreme warm temperature events over South Orkney Islands from 1 to 17 January 1991 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/0b011472-c766-4190-8718-8cf4be95daa6
Colwell, S., & Lu, H. (2023). Continuous Subdaily Meteorological Records at Signy Station, the South Orkney Islands 1947 – 1994 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/d74b142c-7981-4a6a-9321-cf904a5668e6
Orr, A., Boberg, F., & Phillips, T. (2022). MetUM and HIRHAM5 simulations of summer near-surface temperatures over Antarctica from 1979 to 2019 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/05f8bd4b-97b1-43d0-a1c6-66aea7021aaf
Orr, A., & Phillips, T. (2021). Kilometre and sub-kilometre scale atmosphere-only model simulations using the Met Office Unified Model of a foehn wind event over the Larsen C Ice Shelf, Antarctic Peninsula on 27 January 2011 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/c5cc491e-7119-4500-b05a-e5e34274438f
Andersson, T., & Hosking, J. (2021). Forecasts, neural networks, and results from the paper: ‘Seasonal Arctic sea ice forecasting with probabilistic deep learning’ (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/71820e7d-c628-4e32-969f-464b7efb187c
Orr, A., & Phillips, T. (2021). Fine-scale atmosphere-only model simulation of near-surface temperature and wind from a reanalysis-driven Met Office Unified Model simulation of the Brunt Ice Shelf for the year 2015 (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/20f3bf27-bf33-4c21-8164-005667b2ddb8
Phillips, T. (2020). Cyclone tracks for the region south of 60S for 1979 – 2018 derived from 6-hourly ERA-Interim reanalysis mean sea level pressure (MSLP) fields (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/d3b5d87d-c882-4fed-9d47-14c73be43bca
Bannister, D., Orr, A., & Phillips, T. (2019). Model-simulated and bias-corrected daily total precipitation from a reanalysis-driven Weather Research and Forecasting simulation of the Beas and Sutlej river basins in the Himalaya, 1980 to 2012 (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/74fab393-2718-4bdb-b229-190ae72a9fe1
van de Berg, W., van Wessem, M., van de Broeke, M., Turner, J., & Phillips, T. (2019). Antarctic daily precipitation amounts for January 1979 – July 2017 from the RACMO version 3p2 limited area atmospheric model, along with flags that indicate extreme precipitation events (Version 1) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/bbf12a6f-7d97-4951-9bd1-e4224e2abac9
Deb, P., Orr, A., & Turner, J. (2018). Polar Weather Research and Forecasting (WRF) simulation of West Antarctic climate, summer 1980-2015 (Version 1.0) [Data set]. Polar Data Centre, Natural Environment Research Council, UK. https://doi.org/10.5285/9536f22e-37dd-4f37-948b-e19c70e15292
CANARI aims to advance understanding of the impacts on the UK arising from climate variability and change in the Arctic-North Atlantic region, with a focus on extreme weather and the potential for rapid, disruptive change.
This collaborative project is born from exploring novel ways of visualising environmental data and telling the climate change story. Read more about the project and the science behind it through the project page.
This project investigated how much water is stored in the glaciers and snow of the Upper Indus Basin, and how climate variability influences water availability.
Polar Expertise – Supporting Development
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