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update pre-print citation and bio data
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fiona511 committed Oct 24, 2023
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4 changes: 2 additions & 2 deletions docs/source/getting_started/overview.rst
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Expand Up @@ -126,9 +126,9 @@ After trying to convince you of the advantages of using ibicus, we also want to
About the authors
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Fiona Spuler is a PhD student at the University of Reading where she is working under supervision of Prof Ted Shepherd and Dr Marlene Kretschmer and in cooperation with Dr Magdalena Balmaseda at ECMWF on "Combining dynamical and machine learning models to boost S2S forecasts of extreme weather events". Fiona holds an MSc in Mathematical Physics from the University of Edinburgh (best in class) and a second, interdisciplinary MSc at the University of Oxford in 'Environmental Change and Management'. She worked for two years as a Research Analyst at the 2° Investing Initiative, an international think-tank working on the alignment of financial markets with climate goals, as well as with the Oasis Loss Modelling Framework and the Coalition for Climate Resilient Investment as part of a scholarship funded by the German Mercator foundation.
Fiona is a PhD student at the Department of Meteorology, working with Prof Marlene Kretschmer and Prof Ted Shepherd. Her work focuses on developing methods for combining dynamical and machine learning models to boost S2S forecasts of extreme weather events. Prior to starting her PhD, Fiona worked for two years at the not-for-profit organisation “2° Investing Initiative” on the alignment of the European financial sectors with climate mitigation goals. Last year, she was part of an international fellowship programme by the German foreign ministry working on finance for resilience with the Coalition for Climate Resilient Investing. Fiona holds a degree in Physics (MSc, University of Edinburgh; BSc, University of Goettingen) as well as Environmental Change and Management (MSc, University of Oxford).

Jakob Wessel is a PhD student at the University of Exeter where he is working on "Statistical post-processing of ensemble forecasts of compound weather risk" under supervision of Dr Frank Kwasniok and Dr Chris Ferro, in cooperation with the UK Met Office. Jakob holds an MSc in Data Science (Statistics) from University College London where he worked on an MSc dissertation about improving methods for climate model downscaling, under supervision of Prof Richard Chandler, winning the price for the best MSc dissertation. He worked as Research Analyst at the 2° Investing Initiative and gained experience as a project manager and data analyst at Serlo Education. He holds a BSc in Mathematics from Technical University Berlin and a BA in Philosophy and Political Science from Free University Berlin.
Jakob Wessel is a PhD student at the University of Exeter where he is working on "Statistical post-processing of ensemble forecasts of compound weather risk" under supervision of Dr Frank Kwasniok and Dr Chris Ferro, in cooperation with the UK Met Office. Jakob is currently based at the Alan Turing Institute as part of their PhD enrichment scheme. Jakob holds an MSc in Data Science (Statistics) from University College London where he worked on an MSc dissertation about improving methods for climate model downscaling, under supervision of Prof Richard Chandler, winning the price for the best MSc dissertation. He worked as Research Analyst at the 2° Investing Initiative and gained experience as a project manager and data analyst at Serlo Education. He holds a BSc in Mathematics from Technical University Berlin and a BA in Philosophy and Political Science from Free University Berlin.


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2 changes: 2 additions & 0 deletions docs/source/index.rst
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On the following pages you can find information on the usage of ibicus. Have a look at the `Overview <getting_started/overview.html>`_ the `What is debiasing? <getting_started/whatisdebiasing.html>`_ and the `API reference <reference/api.html>`_ for both the `debias <reference/debias.html>`_ and `evaluate <reference/evaluate.html>`_ module.

How to cite: Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1481, 2023.

Documentation
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